bias_regression_2.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import statsmodels.api as sm\n",
    "from statsmodels.formula.api import ols\n",
    "import statsmodels.stats.api as sms\n",
    "from statsmodels.stats.outliers_influence import variance_inflation_factor"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "scores = pd.read_csv('pd_data/judge_scores.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/anaconda/lib/python2.7/site-packages/IPython/core/interactiveshell.py:2717: DtypeWarning: Columns (6) have mixed types. Specify dtype option on import or set low_memory=False.\n",
      "  interactivity=interactivity, compiler=compiler, result=result)\n"
     ]
    }
   ],
   "source": [
    "scores_wc2018 = pd.read_csv('pd_data/judge_scores_wc2018.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def is_gpf(segment_name):\n",
    "    return 1 if segment_name.startswith('gpf') and not segment_name.startswith('gpfra') else 0\n",
    "def is_ecfc(segment_name):\n",
    "    return 1 if segment_name.startswith('ec') or segment_name.startswith('fc') else 0\n",
    "def is_wc(segment_name):\n",
    "    return 1 if segment_name.startswith('wc') else 0\n",
    "def is_owg(segment_name):\n",
    "    return 1 if segment_name.startswith('owg') else 0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "goes = scores[scores.is_comp == 0]\n",
    "comp = scores[scores.is_comp == 1]\n",
    "comp = comp[comp.judge_score > 2.]\n",
    "# comp['log_judge_score'] = comp.apply(lambda row: np.log(row.judge_score), axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "all_scores = pd.concat([scores, scores_wc2018])\n",
    "comp_all = scores[scores.is_comp == 1]\n",
    "comp_all = comp_all[comp_all.judge_score > 2.]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "comp_all['is2018'] = comp_all.apply(lambda row: 1 if row.season == 2018 else 0, axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "competition_type = ols('judge_score ~ skater + judge + same_country + is_gpf + is_ecfc + is_wc + is_owg + season', data=comp_all).fit()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table class=\"simpletable\">\n",
       "<caption>OLS Regression Results</caption>\n",
       "<tr>\n",
       "  <th>Dep. Variable:</th>       <td>judge_score</td>   <th>  R-squared:         </th> <td>   0.874</td> \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Model:</th>                   <td>OLS</td>       <th>  Adj. R-squared:    </th> <td>   0.873</td> \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Method:</th>             <td>Least Squares</td>  <th>  F-statistic:       </th> <td>   1138.</td> \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Date:</th>             <td>Sun, 25 Mar 2018</td> <th>  Prob (F-statistic):</th>  <td>  0.00</td>  \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Time:</th>                 <td>15:13:10</td>     <th>  Log-Likelihood:    </th> <td> -61685.</td> \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>No. Observations:</th>      <td> 97651</td>      <th>  AIC:               </th> <td>1.246e+05</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Df Residuals:</th>          <td> 97059</td>      <th>  BIC:               </th> <td>1.302e+05</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Df Model:</th>              <td>   591</td>      <th>                     </th>     <td> </td>    \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Covariance Type:</th>      <td>nonrobust</td>    <th>                     </th>     <td> </td>    \n",
       "</tr>\n",
       "</table>\n",
       "<table class=\"simpletable\">\n",
       "<tr>\n",
       "                             <td></td>                               <th>coef</th>     <th>std err</th>      <th>t</th>      <th>P>|t|</th>  <th>[0.025</th>    <th>0.975]</th>  \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Intercept</th>                                              <td> -389.3208</td> <td>    8.891</td> <td>  -43.787</td> <td> 0.000</td> <td> -406.748</td> <td> -371.894</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Adam RIPPON]</th>                                  <td>    3.0780</td> <td>    0.052</td> <td>   59.051</td> <td> 0.000</td> <td>    2.976</td> <td>    3.180</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Adel TANKOVA / Ronald ZILBERBERG]</th>             <td>   -0.3049</td> <td>    0.063</td> <td>   -4.844</td> <td> 0.000</td> <td>   -0.428</td> <td>   -0.182</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Adele MORRISON / Demid ROKACHEV]</th>              <td>   -1.0734</td> <td>    0.069</td> <td>  -15.564</td> <td> 0.000</td> <td>   -1.209</td> <td>   -0.938</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Aimee BUCHANAN]</th>                               <td>   -1.0007</td> <td>    0.069</td> <td>  -14.508</td> <td> 0.000</td> <td>   -1.136</td> <td>   -0.866</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Aiza MAMBEKOVA]</th>                               <td>   -0.1369</td> <td>    0.063</td> <td>   -2.174</td> <td> 0.030</td> <td>   -0.260</td> <td>   -0.013</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Alaine CHARTRAND]</th>                             <td>    1.6369</td> <td>    0.053</td> <td>   31.071</td> <td> 0.000</td> <td>    1.534</td> <td>    1.740</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Alena LEONOVA]</th>                                <td>    1.8137</td> <td>    0.056</td> <td>   32.192</td> <td> 0.000</td> <td>    1.703</td> <td>    1.924</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Alexa SCIMECA KNIERIM / Chris KNIERIM]</th>        <td>    2.2647</td> <td>    0.053</td> <td>   42.392</td> <td> 0.000</td> <td>    2.160</td> <td>    2.369</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Alexander BOROVOJ]</th>                            <td>   -0.3820</td> <td>    0.084</td> <td>   -4.534</td> <td> 0.000</td> <td>   -0.547</td> <td>   -0.217</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Alexander MAJOROV]</th>                            <td>    1.5490</td> <td>    0.053</td> <td>   29.012</td> <td> 0.000</td> <td>    1.444</td> <td>    1.654</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Alexander MASZLJANKO]</th>                         <td>   -0.3509</td> <td>    0.084</td> <td>   -4.156</td> <td> 0.000</td> <td>   -0.516</td> <td>   -0.185</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Alexander PETROV]</th>                             <td>    1.8097</td> <td>    0.056</td> <td>   32.136</td> <td> 0.000</td> <td>    1.699</td> <td>    1.920</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Alexander SAMARIN]</th>                            <td>    2.1982</td> <td>    0.054</td> <td>   40.339</td> <td> 0.000</td> <td>    2.091</td> <td>    2.305</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Alexandra NAZAROVA / Maxim NIKITIN]</th>           <td>    1.9995</td> <td>    0.053</td> <td>   37.607</td> <td> 0.000</td> <td>    1.895</td> <td>    2.104</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Alexandra PAUL / Mitchell ISLAM]</th>              <td>    2.0165</td> <td>    0.069</td> <td>   29.147</td> <td> 0.000</td> <td>    1.881</td> <td>    2.152</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Alexandra STEPANOVA / Ivan BUKIN]</th>             <td>    3.1843</td> <td>    0.052</td> <td>   60.900</td> <td> 0.000</td> <td>    3.082</td> <td>    3.287</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Alexei BYCHENKO]</th>                              <td>    2.3831</td> <td>    0.052</td> <td>   46.115</td> <td> 0.000</td> <td>    2.282</td> <td>    2.484</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Alexia PAGANINI]</th>                              <td>    0.5134</td> <td>    0.060</td> <td>    8.594</td> <td> 0.000</td> <td>    0.396</td> <td>    0.630</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Alicia PINEAULT]</th>                              <td>    0.8022</td> <td>    0.069</td> <td>   11.610</td> <td> 0.000</td> <td>    0.667</td> <td>    0.938</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Alina ZAGITOVA]</th>                               <td>    3.1250</td> <td>    0.053</td> <td>   58.539</td> <td> 0.000</td> <td>    3.020</td> <td>    3.230</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Alisa AGAFONOVA / Alper UCAR]</th>                 <td>    1.6821</td> <td>    0.052</td> <td>   32.444</td> <td> 0.000</td> <td>    1.580</td> <td>    1.784</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Alisa EFIMOVA / Alexander KOROVIN]</th>            <td>    1.3327</td> <td>    0.069</td> <td>   19.317</td> <td> 0.000</td> <td>    1.198</td> <td>    1.468</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Aljona SAVCHENKO / Bruno MASSOT]</th>              <td>    3.6631</td> <td>    0.052</td> <td>   70.753</td> <td> 0.000</td> <td>    3.562</td> <td>    3.765</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Alla LOBODA / Pavel DROZD]</th>                    <td>    1.9933</td> <td>    0.060</td> <td>   33.348</td> <td> 0.000</td> <td>    1.876</td> <td>    2.110</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Amber GLENN]</th>                                  <td>    1.2571</td> <td>    0.069</td> <td>   18.211</td> <td> 0.000</td> <td>    1.122</td> <td>    1.392</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Amy LIN]</th>                                      <td>    0.4206</td> <td>    0.058</td> <td>    7.286</td> <td> 0.000</td> <td>    0.307</td> <td>    0.534</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Anastasia CANNUSCIO / Colin MCMANUS]</th>          <td>    1.4961</td> <td>    0.060</td> <td>   24.935</td> <td> 0.000</td> <td>    1.379</td> <td>    1.614</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Anastasia GALUSTYAN]</th>                          <td>    1.0992</td> <td>    0.053</td> <td>   20.577</td> <td> 0.000</td> <td>    0.995</td> <td>    1.204</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Anastasia GALYETA / Avidan BROWN]</th>             <td>    0.1702</td> <td>    0.084</td> <td>    2.023</td> <td> 0.043</td> <td>    0.005</td> <td>    0.335</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Andrei LAZUKIN]</th>                               <td>    1.5107</td> <td>    0.069</td> <td>   21.961</td> <td> 0.000</td> <td>    1.376</td> <td>    1.646</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Andrew DODDS]</th>                                 <td>    0.6696</td> <td>    0.059</td> <td>   11.325</td> <td> 0.000</td> <td>    0.554</td> <td>    0.785</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Angela WANG]</th>                                  <td>    1.4217</td> <td>    0.069</td> <td>   20.574</td> <td> 0.000</td> <td>    1.286</td> <td>    1.557</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Angelina KUCHVALSKA]</th>                          <td>    0.9857</td> <td>    0.055</td> <td>   18.057</td> <td> 0.000</td> <td>    0.879</td> <td>    1.093</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Angelique ABACHKINA / Louis THAURON]</th>          <td>    1.6532</td> <td>    0.056</td> <td>   29.284</td> <td> 0.000</td> <td>    1.543</td> <td>    1.764</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Anita OSTLUND]</th>                                <td>    0.3472</td> <td>    0.063</td> <td>    5.514</td> <td> 0.000</td> <td>    0.224</td> <td>    0.471</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Anna CAPPELLINI / Luca LANOTTE]</th>               <td>    3.5340</td> <td>    0.052</td> <td>   68.534</td> <td> 0.000</td> <td>    3.433</td> <td>    3.635</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Anna DUSKOVA / Martin BIDAR]</th>                  <td>    1.5040</td> <td>    0.056</td> <td>   26.668</td> <td> 0.000</td> <td>    1.393</td> <td>    1.615</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Anna KHNYCHENKOVA]</th>                            <td>   -0.0638</td> <td>    0.056</td> <td>   -1.132</td> <td> 0.258</td> <td>   -0.174</td> <td>    0.047</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Anna POGORILAYA]</th>                              <td>    2.9946</td> <td>    0.053</td> <td>   56.807</td> <td> 0.000</td> <td>    2.891</td> <td>    3.098</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Anna YANOVSKAYA / Adam LUKACS]</th>                <td>    1.4192</td> <td>    0.069</td> <td>   20.547</td> <td> 0.000</td> <td>    1.284</td> <td>    1.555</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Anne Line GJERSEM]</th>                            <td>   -0.0428</td> <td>    0.058</td> <td>   -0.740</td> <td> 0.459</td> <td>   -0.156</td> <td>    0.071</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Annika HOCKE / Ruben BLOMMAERT]</th>               <td>    1.1400</td> <td>    0.060</td> <td>   19.075</td> <td> 0.000</td> <td>    1.023</td> <td>    1.257</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Anton KARPUK]</th>                                 <td>   -0.4741</td> <td>    0.084</td> <td>   -5.628</td> <td> 0.000</td> <td>   -0.639</td> <td>   -0.309</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Antonina DUBININA]</th>                            <td>   -1.0757</td> <td>    0.069</td> <td>  -15.595</td> <td> 0.000</td> <td>   -1.211</td> <td>   -0.941</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Arina CHERNIAVSKAIA / Evgeni KRASNOPOLSKI]</th>    <td>   -0.3753</td> <td>    0.069</td> <td>   -5.426</td> <td> 0.000</td> <td>   -0.511</td> <td>   -0.240</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Artur DMITRIEV]</th>                               <td>    1.6958</td> <td>    0.060</td> <td>   28.405</td> <td> 0.000</td> <td>    1.579</td> <td>    1.813</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Ashley CAIN / Timothy LEDUC]</th>                  <td>    1.5174</td> <td>    0.056</td> <td>   26.903</td> <td> 0.000</td> <td>    1.407</td> <td>    1.628</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Ashley WAGNER]</th>                                <td>    3.0469</td> <td>    0.054</td> <td>   56.445</td> <td> 0.000</td> <td>    2.941</td> <td>    3.153</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Aurelija IPOLITO / Malcolm JONES]</th>             <td>   -1.6060</td> <td>    0.084</td> <td>  -19.060</td> <td> 0.000</td> <td>   -1.771</td> <td>   -1.441</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Betina POPOVA / Sergey MOZGOV]</th>                <td>    2.1036</td> <td>    0.069</td> <td>   30.343</td> <td> 0.000</td> <td>    1.968</td> <td>    2.239</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Birce ATABEY]</th>                                 <td>   -1.2021</td> <td>    0.084</td> <td>  -14.259</td> <td> 0.000</td> <td>   -1.367</td> <td>   -1.037</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Boyang JIN]</th>                                   <td>    2.5830</td> <td>    0.051</td> <td>   50.164</td> <td> 0.000</td> <td>    2.482</td> <td>    2.684</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Bradie TENNELL]</th>                               <td>    1.9816</td> <td>    0.060</td> <td>   33.182</td> <td> 0.000</td> <td>    1.865</td> <td>    2.099</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Brendan KERRY]</th>                                <td>    1.6560</td> <td>    0.052</td> <td>   31.924</td> <td> 0.000</td> <td>    1.554</td> <td>    1.758</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Brittany JONES / Joshua REAGAN]</th>               <td>    1.1058</td> <td>    0.069</td> <td>   15.982</td> <td> 0.000</td> <td>    0.970</td> <td>    1.241</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Brooklee HAN]</th>                                 <td>    0.8232</td> <td>    0.060</td> <td>   13.761</td> <td> 0.000</td> <td>    0.706</td> <td>    0.940</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Burak DEMIRBOGA]</th>                              <td>   -0.1943</td> <td>    0.069</td> <td>   -2.811</td> <td> 0.005</td> <td>   -0.330</td> <td>   -0.059</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Camille RUEST / Andrew WOLFE]</th>                 <td>    1.2365</td> <td>    0.060</td> <td>   20.624</td> <td> 0.000</td> <td>    1.119</td> <td>    1.354</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Carolane SOUCISSE / Shane FIRUS]</th>              <td>    1.9611</td> <td>    0.060</td> <td>   32.901</td> <td> 0.000</td> <td>    1.844</td> <td>    2.078</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Carolina KOSTNER]</th>                             <td>    3.6333</td> <td>    0.052</td> <td>   69.698</td> <td> 0.000</td> <td>    3.531</td> <td>    3.735</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Cecilia TORN / Jussiville PARTANEN]</th>           <td>    1.2442</td> <td>    0.055</td> <td>   22.438</td> <td> 0.000</td> <td>    1.136</td> <td>    1.353</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Chafik BESSEGHIER]</th>                            <td>    1.6583</td> <td>    0.053</td> <td>   31.291</td> <td> 0.000</td> <td>    1.554</td> <td>    1.762</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Chantelle KERRY / Andrew DODDS]</th>               <td>   -0.4685</td> <td>    0.069</td> <td>   -6.798</td> <td> 0.000</td> <td>   -0.604</td> <td>   -0.333</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Charlene GUIGNARD / Marco FABBRI]</th>             <td>    2.8403</td> <td>    0.052</td> <td>   54.765</td> <td> 0.000</td> <td>    2.739</td> <td>    2.942</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Cheng PENG / Yang JIN]</th>                        <td>    2.2465</td> <td>    0.052</td> <td>   42.899</td> <td> 0.000</td> <td>    2.144</td> <td>    2.349</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Chih-I TSAO]</th>                                  <td>    0.4521</td> <td>    0.057</td> <td>    7.909</td> <td> 0.000</td> <td>    0.340</td> <td>    0.564</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Chloe ING]</th>                                    <td>    0.0861</td> <td>    0.060</td> <td>    1.439</td> <td> 0.150</td> <td>   -0.031</td> <td>    0.203</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Colette Coco KAMINSKI]</th>                        <td>   -0.9378</td> <td>    0.084</td> <td>  -11.124</td> <td> 0.000</td> <td>   -1.103</td> <td>   -0.773</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Conor STAKELUM]</th>                               <td>   -1.1231</td> <td>    0.084</td> <td>  -13.302</td> <td> 0.000</td> <td>   -1.289</td> <td>   -0.958</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Cortney MANSOUROVA / Michal CESKA]</th>            <td>    0.9451</td> <td>    0.060</td> <td>   15.804</td> <td> 0.000</td> <td>    0.828</td> <td>    1.062</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Courtney HICKS]</th>                               <td>    1.7839</td> <td>    0.056</td> <td>   31.640</td> <td> 0.000</td> <td>    1.673</td> <td>    1.894</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Dabin CHOI]</th>                                   <td>    1.4395</td> <td>    0.052</td> <td>   27.612</td> <td> 0.000</td> <td>    1.337</td> <td>    1.542</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Daniel Albert NAURITS]</th>                        <td>    0.4007</td> <td>    0.060</td> <td>    6.692</td> <td> 0.000</td> <td>    0.283</td> <td>    0.518</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Daniel SAMOHIN]</th>                               <td>    1.9555</td> <td>    0.053</td> <td>   36.922</td> <td> 0.000</td> <td>    1.852</td> <td>    2.059</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Daria BEKLEMISHEVA / Mark MAGYAR]</th>             <td>    0.0191</td> <td>    0.084</td> <td>    0.227</td> <td> 0.820</td> <td>   -0.146</td> <td>    0.184</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Darya POPOVA / Volodymyr BYELIKOV]</th>            <td>   -0.1814</td> <td>    0.084</td> <td>   -2.153</td> <td> 0.031</td> <td>   -0.347</td> <td>   -0.016</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Dasa GRM]</th>                                     <td>    0.0869</td> <td>    0.060</td> <td>    1.454</td> <td> 0.146</td> <td>   -0.030</td> <td>    0.204</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Davide LEWTON BRAIN]</th>                          <td>   -0.2620</td> <td>    0.084</td> <td>   -3.103</td> <td> 0.002</td> <td>   -0.427</td> <td>   -0.096</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Deanna STELLATO / Nathan BARTHOLOMAY]</th>         <td>    1.1980</td> <td>    0.060</td> <td>   19.997</td> <td> 0.000</td> <td>    1.081</td> <td>    1.315</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Denis TEN]</th>                                    <td>    2.6559</td> <td>    0.053</td> <td>   50.393</td> <td> 0.000</td> <td>    2.553</td> <td>    2.759</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Deniss VASILJEVS]</th>                             <td>    2.2489</td> <td>    0.052</td> <td>   43.507</td> <td> 0.000</td> <td>    2.148</td> <td>    2.350</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Diana NIKITINA]</th>                               <td>    0.0661</td> <td>    0.069</td> <td>    0.961</td> <td> 0.337</td> <td>   -0.069</td> <td>    0.201</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Dmitri ALIEV]</th>                                 <td>    2.5830</td> <td>    0.054</td> <td>   47.440</td> <td> 0.000</td> <td>    2.476</td> <td>    2.690</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Donovan CARRILLO]</th>                             <td>    0.0060</td> <td>    0.068</td> <td>    0.088</td> <td> 0.930</td> <td>   -0.127</td> <td>    0.139</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Ekaterina ALEXANDROVSKAYA / Harley WINDSOR]</th>   <td>    0.8560</td> <td>    0.055</td> <td>   15.464</td> <td> 0.000</td> <td>    0.748</td> <td>    0.965</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Ekaterina BOBROVA / Dmitri SOLOVIEV]</th>          <td>    3.6450</td> <td>    0.052</td> <td>   70.695</td> <td> 0.000</td> <td>    3.544</td> <td>    3.746</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Elena ILINYKH / Ruslan ZHIGANSHIN]</th>            <td>    3.1017</td> <td>    0.060</td> <td>   51.799</td> <td> 0.000</td> <td>    2.984</td> <td>    3.219</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Elena RADIONOVA]</th>                              <td>    2.9322</td> <td>    0.053</td> <td>   54.841</td> <td> 0.000</td> <td>    2.827</td> <td>    3.037</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Eliska BREZINOVA]</th>                             <td>    0.0685</td> <td>    0.069</td> <td>    0.991</td> <td> 0.322</td> <td>   -0.067</td> <td>    0.204</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Elizabet TURSYNBAEVA]</th>                         <td>    1.9659</td> <td>    0.052</td> <td>   38.034</td> <td> 0.000</td> <td>    1.865</td> <td>    2.067</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Elizaveta TUKTAMYSHEVA]</th>                       <td>    2.1956</td> <td>    0.055</td> <td>   40.256</td> <td> 0.000</td> <td>    2.089</td> <td>    2.303</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Elladj BALDE]</th>                                 <td>    2.0661</td> <td>    0.056</td> <td>   36.910</td> <td> 0.000</td> <td>    1.956</td> <td>    2.176</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Elliana POGREBINSKY / Alex BENOIT]</th>            <td>    1.8627</td> <td>    0.055</td> <td>   34.079</td> <td> 0.000</td> <td>    1.756</td> <td>    1.970</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Elzbieta GABRYSZAK]</th>                           <td>   -0.9247</td> <td>    0.084</td> <td>  -10.957</td> <td> 0.000</td> <td>   -1.090</td> <td>   -0.759</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Elzbieta KROPA]</th>                               <td>   -0.7373</td> <td>    0.063</td> <td>  -11.694</td> <td> 0.000</td> <td>   -0.861</td> <td>   -0.614</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Emi HIRAI / Marien DE LA ASUNCION]</th>            <td>    0.3980</td> <td>    0.060</td> <td>    6.653</td> <td> 0.000</td> <td>    0.281</td> <td>    0.515</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Emilia SIMONEN / Matthew PENASSE]</th>             <td>   -0.4364</td> <td>    0.084</td> <td>   -5.181</td> <td> 0.000</td> <td>   -0.602</td> <td>   -0.271</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Emmi PELTONEN]</th>                                <td>    1.1585</td> <td>    0.055</td> <td>   20.930</td> <td> 0.000</td> <td>    1.050</td> <td>    1.267</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Engin Ali ARTAN]</th>                              <td>   -0.9296</td> <td>    0.084</td> <td>  -11.036</td> <td> 0.000</td> <td>   -1.095</td> <td>   -0.765</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Evgenia MEDVEDEVA]</th>                            <td>    3.8065</td> <td>    0.051</td> <td>   74.046</td> <td> 0.000</td> <td>    3.706</td> <td>    3.907</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Evgenia TARASOVA / Vladimir MOROZOV]</th>          <td>    3.3913</td> <td>    0.051</td> <td>   66.247</td> <td> 0.000</td> <td>    3.291</td> <td>    3.492</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Felipe MONTOYA]</th>                               <td>    0.6466</td> <td>    0.063</td> <td>   10.274</td> <td> 0.000</td> <td>    0.523</td> <td>    0.770</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Fruzsina MEDGYESI]</th>                            <td>   -0.2779</td> <td>    0.084</td> <td>   -3.293</td> <td> 0.001</td> <td>   -0.443</td> <td>   -0.113</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Gabriella PAPADAKIS / Guillaume CIZERON]</th>      <td>    4.0985</td> <td>    0.051</td> <td>   79.848</td> <td> 0.000</td> <td>    3.998</td> <td>    4.199</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Gabrielle DALEMAN]</th>                            <td>    2.6283</td> <td>    0.052</td> <td>   50.404</td> <td> 0.000</td> <td>    2.526</td> <td>    2.730</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Geon Hyeong AN]</th>                               <td>    0.0750</td> <td>    0.068</td> <td>    1.102</td> <td> 0.270</td> <td>   -0.058</td> <td>    0.208</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Giada RUSSO]</th>                                  <td>    0.6028</td> <td>    0.063</td> <td>    9.573</td> <td> 0.000</td> <td>    0.479</td> <td>    0.726</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Goda BUTKUTE / Nikita ERMOLAEV]</th>               <td>    0.1584</td> <td>    0.060</td> <td>    2.651</td> <td> 0.008</td> <td>    0.041</td> <td>    0.276</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Gordei GORSHKOV]</th>                              <td>    1.7850</td> <td>    0.069</td> <td>   25.873</td> <td> 0.000</td> <td>    1.650</td> <td>    1.920</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Gracie GOLD]</th>                                  <td>    2.6124</td> <td>    0.060</td> <td>   43.691</td> <td> 0.000</td> <td>    2.495</td> <td>    2.730</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Graham NEWBERRY]</th>                              <td>    0.6599</td> <td>    0.063</td> <td>   10.485</td> <td> 0.000</td> <td>    0.537</td> <td>    0.783</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Grant HOCHSTEIN]</th>                              <td>    1.9453</td> <td>    0.052</td> <td>   37.120</td> <td> 0.000</td> <td>    1.843</td> <td>    2.048</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Guoste DAMULEVICIUTE / Deividas KIZALA]</th>       <td>   -0.1171</td> <td>    0.084</td> <td>   -1.390</td> <td> 0.165</td> <td>   -0.282</td> <td>    0.048</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Haley SALES / Nikolas WAMSTEEKER]</th>             <td>    1.1065</td> <td>    0.069</td> <td>   16.056</td> <td> 0.000</td> <td>    0.971</td> <td>    1.242</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Han YAN]</th>                                      <td>    2.4549</td> <td>    0.052</td> <td>   47.308</td> <td> 0.000</td> <td>    2.353</td> <td>    2.557</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Hanna JAKUCS / Daniel ILLES]</th>                  <td>   -0.2158</td> <td>    0.084</td> <td>   -2.563</td> <td> 0.010</td> <td>   -0.381</td> <td>   -0.051</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Hanul KIM]</th>                                    <td>    0.9434</td> <td>    0.060</td> <td>   15.793</td> <td> 0.000</td> <td>    0.826</td> <td>    1.060</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Harrison Jon-Yen WONG]</th>                        <td>   -0.6078</td> <td>    0.068</td> <td>   -8.909</td> <td> 0.000</td> <td>   -0.741</td> <td>   -0.474</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Harry Hau Yin LEE]</th>                            <td>   -0.7772</td> <td>    0.068</td> <td>  -11.392</td> <td> 0.000</td> <td>   -0.911</td> <td>   -0.643</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Haven DENNEY / Brandon FRAZIER]</th>               <td>    1.9890</td> <td>    0.053</td> <td>   37.505</td> <td> 0.000</td> <td>    1.885</td> <td>    2.093</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.He ZHANG]</th>                                     <td>    0.4704</td> <td>    0.059</td> <td>    7.956</td> <td> 0.000</td> <td>    0.354</td> <td>    0.586</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Helery HALVIN]</th>                                <td>    0.5130</td> <td>    0.063</td> <td>    8.140</td> <td> 0.000</td> <td>    0.389</td> <td>    0.637</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Hiroaki SATO]</th>                                 <td>    1.4507</td> <td>    0.069</td> <td>   21.015</td> <td> 0.000</td> <td>    1.315</td> <td>    1.586</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Hojung LEE / Richard Kang In KAM]</th>             <td>    0.1103</td> <td>    0.069</td> <td>    1.599</td> <td> 0.110</td> <td>   -0.025</td> <td>    0.245</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Hong CHEN / Yan ZHAO]</th>                         <td>    0.5520</td> <td>    0.056</td> <td>    9.777</td> <td> 0.000</td> <td>    0.441</td> <td>    0.663</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Hristina VASSILEVA]</th>                           <td>   -1.5434</td> <td>    0.084</td> <td>  -18.307</td> <td> 0.000</td> <td>   -1.709</td> <td>   -1.378</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Igor REZNICHENKO]</th>                             <td>    0.1441</td> <td>    0.060</td> <td>    2.413</td> <td> 0.016</td> <td>    0.027</td> <td>    0.261</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Ioulia CHTCHETININA / Mikhail AKULOV]</th>         <td>   -0.4670</td> <td>    0.069</td> <td>   -6.762</td> <td> 0.000</td> <td>   -0.602</td> <td>   -0.332</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Ioulia CHTCHETININA / Noah SCHERER]</th>           <td>   -0.5175</td> <td>    0.069</td> <td>   -7.516</td> <td> 0.000</td> <td>   -0.652</td> <td>   -0.383</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Irakli MAYSURADZE]</th>                            <td>    0.5085</td> <td>    0.069</td> <td>    7.355</td> <td> 0.000</td> <td>    0.373</td> <td>    0.644</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Isabella TOBIAS / Ilia TKACHENKO]</th>             <td>    2.6665</td> <td>    0.055</td> <td>   48.755</td> <td> 0.000</td> <td>    2.559</td> <td>    2.774</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Isadora WILLIAMS]</th>                             <td>    0.5950</td> <td>    0.063</td> <td>    9.462</td> <td> 0.000</td> <td>    0.472</td> <td>    0.718</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Ivan PAVLOV]</th>                                  <td>    0.9239</td> <td>    0.063</td> <td>   14.680</td> <td> 0.000</td> <td>    0.801</td> <td>    1.047</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Ivan RIGHINI]</th>                                 <td>    1.8650</td> <td>    0.060</td> <td>   31.245</td> <td> 0.000</td> <td>    1.748</td> <td>    1.982</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Ivett TOTH]</th>                                   <td>    0.9855</td> <td>    0.055</td> <td>   18.056</td> <td> 0.000</td> <td>    0.878</td> <td>    1.092</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Jasmine TESSARI / Francesco FIORETTI]</th>         <td>    0.5216</td> <td>    0.063</td> <td>    8.273</td> <td> 0.000</td> <td>    0.398</td> <td>    0.645</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Jason BROWN]</th>                                  <td>    3.3414</td> <td>    0.052</td> <td>   64.866</td> <td> 0.000</td> <td>    3.240</td> <td>    3.442</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Javier FERNANDEZ]</th>                             <td>    3.8345</td> <td>    0.051</td> <td>   74.663</td> <td> 0.000</td> <td>    3.734</td> <td>    3.935</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Javier RAYA]</th>                                  <td>    1.0451</td> <td>    0.063</td> <td>   16.605</td> <td> 0.000</td> <td>    0.922</td> <td>    1.168</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Jessica PFUND / Joshua SANTILLAN]</th>             <td>    1.0890</td> <td>    0.069</td> <td>   15.716</td> <td> 0.000</td> <td>    0.953</td> <td>    1.225</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Jinseo KIM]</th>                                   <td>    0.9919</td> <td>    0.063</td> <td>   15.821</td> <td> 0.000</td> <td>    0.869</td> <td>    1.115</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Jiri BELOHRADSKY]</th>                             <td>    0.3087</td> <td>    0.063</td> <td>    4.894</td> <td> 0.000</td> <td>    0.185</td> <td>    0.432</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Joanna SO]</th>                                    <td>   -0.4335</td> <td>    0.069</td> <td>   -6.273</td> <td> 0.000</td> <td>   -0.569</td> <td>   -0.298</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Jorik HENDRICKX]</th>                              <td>    2.3527</td> <td>    0.052</td> <td>   45.176</td> <td> 0.000</td> <td>    2.251</td> <td>    2.455</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Joshi HELGESSON]</th>                              <td>    1.2113</td> <td>    0.055</td> <td>   21.877</td> <td> 0.000</td> <td>    1.103</td> <td>    1.320</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Julia LIPNITSKAIA]</th>                            <td>    1.9770</td> <td>    0.069</td> <td>   28.620</td> <td> 0.000</td> <td>    1.842</td> <td>    2.112</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Julia SAUTER]</th>                                 <td>   -0.3924</td> <td>    0.069</td> <td>   -5.689</td> <td> 0.000</td> <td>   -0.528</td> <td>   -0.257</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Julian Zhi Jie YEE]</th>                           <td>    1.0805</td> <td>    0.055</td> <td>   19.699</td> <td> 0.000</td> <td>    0.973</td> <td>    1.188</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Julianne SEGUIN / Charlie BILODEAU]</th>           <td>    2.3503</td> <td>    0.052</td> <td>   45.015</td> <td> 0.000</td> <td>    2.248</td> <td>    2.453</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Jun Hwan CHA]</th>                                 <td>    1.7609</td> <td>    0.069</td> <td>   25.505</td> <td> 0.000</td> <td>    1.626</td> <td>    1.896</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.June Hyoung LEE]</th>                              <td>    1.0016</td> <td>    0.059</td> <td>   16.939</td> <td> 0.000</td> <td>    0.886</td> <td>    1.117</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Junhwan CHA]</th>                                  <td>    2.2787</td> <td>    0.069</td> <td>   33.138</td> <td> 0.000</td> <td>    2.144</td> <td>    2.414</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Justyna PLUTOWSKA / Jeremie FLEMIN]</th>           <td>    0.3496</td> <td>    0.084</td> <td>    4.149</td> <td> 0.000</td> <td>    0.184</td> <td>    0.515</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Kaetlyn OSMOND]</th>                               <td>    3.2379</td> <td>    0.051</td> <td>   62.976</td> <td> 0.000</td> <td>    3.137</td> <td>    3.339</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Kai Xiang CHEW]</th>                               <td>   -0.7642</td> <td>    0.062</td> <td>  -12.236</td> <td> 0.000</td> <td>   -0.887</td> <td>   -0.642</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Kailani CRAINE]</th>                               <td>    0.8587</td> <td>    0.053</td> <td>   16.078</td> <td> 0.000</td> <td>    0.754</td> <td>    0.963</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Kaitlin HAWAYEK / Jean-Luc BAKER]</th>             <td>    2.5172</td> <td>    0.053</td> <td>   47.074</td> <td> 0.000</td> <td>    2.412</td> <td>    2.622</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Kaitlyn WEAVER / Andrew POJE]</th>                 <td>    3.5915</td> <td>    0.052</td> <td>   68.744</td> <td> 0.000</td> <td>    3.489</td> <td>    3.694</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Kana MURAMOTO / Chris REED]</th>                   <td>    1.9064</td> <td>    0.052</td> <td>   36.343</td> <td> 0.000</td> <td>    1.804</td> <td>    2.009</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Kanako MURAKAMI]</th>                              <td>    1.4472</td> <td>    0.060</td> <td>   24.186</td> <td> 0.000</td> <td>    1.330</td> <td>    1.564</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Kaori SAKAMOTO]</th>                               <td>    2.4954</td> <td>    0.055</td> <td>   45.782</td> <td> 0.000</td> <td>    2.389</td> <td>    2.602</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Karen CHEN]</th>                                   <td>    2.2224</td> <td>    0.052</td> <td>   42.607</td> <td> 0.000</td> <td>    2.120</td> <td>    2.325</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Katerina BUNINA / German FROLOV]</th>              <td>   -0.8164</td> <td>    0.069</td> <td>  -11.850</td> <td> 0.000</td> <td>   -0.951</td> <td>   -0.681</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Kavita LORENZ / Joti POLIZOAKIS]</th>              <td>    1.5845</td> <td>    0.055</td> <td>   29.009</td> <td> 0.000</td> <td>    1.477</td> <td>    1.692</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Kazuki TOMONO]</th>                                <td>    1.9896</td> <td>    0.069</td> <td>   28.821</td> <td> 0.000</td> <td>    1.854</td> <td>    2.125</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Keegan MESSING]</th>                               <td>    2.4138</td> <td>    0.056</td> <td>   42.902</td> <td> 0.000</td> <td>    2.304</td> <td>    2.524</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Keiji TANAKA]</th>                                 <td>    2.2202</td> <td>    0.052</td> <td>   42.788</td> <td> 0.000</td> <td>    2.118</td> <td>    2.322</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Kerstin FRANK]</th>                                <td>    0.1715</td> <td>    0.063</td> <td>    2.721</td> <td> 0.007</td> <td>    0.048</td> <td>    0.295</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Kevin AYMOZ]</th>                                  <td>    1.5318</td> <td>    0.060</td> <td>   25.688</td> <td> 0.000</td> <td>    1.415</td> <td>    1.649</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Kevin REYNOLDS]</th>                               <td>    1.9503</td> <td>    0.052</td> <td>   37.234</td> <td> 0.000</td> <td>    1.848</td> <td>    2.053</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Kim CHEREMSKY]</th>                                <td>   -0.9747</td> <td>    0.084</td> <td>  -11.550</td> <td> 0.000</td> <td>   -1.140</td> <td>   -0.809</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Kimberley HEW-LOW / Timothy MCKERNAN]</th>         <td>   -1.0540</td> <td>    0.069</td> <td>  -15.282</td> <td> 0.000</td> <td>   -1.189</td> <td>   -0.919</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Kirsten MOORE-TOWERS / Michael MARINARO]</th>      <td>    2.1658</td> <td>    0.055</td> <td>   39.738</td> <td> 0.000</td> <td>    2.059</td> <td>    2.273</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Kristina ASTAKHOVA / Alexei ROGONOV]</th>          <td>    2.2531</td> <td>    0.054</td> <td>   42.102</td> <td> 0.000</td> <td>    2.148</td> <td>    2.358</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Kristina SHKULETA-GROMOVA]</th>                    <td>   -0.0779</td> <td>    0.084</td> <td>   -0.923</td> <td> 0.356</td> <td>   -0.243</td> <td>    0.087</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Ksenia STOLBOVA / Fedor KLIMOV]</th>               <td>    3.3953</td> <td>    0.053</td> <td>   64.425</td> <td> 0.000</td> <td>    3.292</td> <td>    3.499</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Kyarha VAN TIEL]</th>                              <td>   -0.9358</td> <td>    0.084</td> <td>  -11.089</td> <td> 0.000</td> <td>   -1.101</td> <td>   -0.770</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Kyueun KIM / Alex Kang Chan KAM]</th>              <td>   -0.2687</td> <td>    0.063</td> <td>   -4.276</td> <td> 0.000</td> <td>   -0.392</td> <td>   -0.146</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Lana PETRANOVIC / Antonio SOUZA-KORDEIRU]</th>     <td>   -0.2109</td> <td>    0.058</td> <td>   -3.651</td> <td> 0.000</td> <td>   -0.324</td> <td>   -0.098</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Larkyn AUSTMAN]</th>                               <td>    0.6502</td> <td>    0.063</td> <td>   10.335</td> <td> 0.000</td> <td>    0.527</td> <td>    0.774</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Larry LOUPOLOVER]</th>                             <td>   -0.6286</td> <td>    0.063</td> <td>   -9.996</td> <td> 0.000</td> <td>   -0.752</td> <td>   -0.505</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Laura BARQUERO / Aritz MAESTU]</th>                <td>    0.0652</td> <td>    0.069</td> <td>    0.944</td> <td> 0.345</td> <td>   -0.070</td> <td>    0.201</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Laurence FOURNIER BEAUDRY / Nikolaj SORENSEN]</th> <td>    2.2806</td> <td>    0.053</td> <td>   43.177</td> <td> 0.000</td> <td>    2.177</td> <td>    2.384</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Laurine LECAVELIER]</th>                           <td>    1.6103</td> <td>    0.053</td> <td>   30.589</td> <td> 0.000</td> <td>    1.507</td> <td>    1.714</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Lea Johanna DASTICH]</th>                          <td>    0.1018</td> <td>    0.069</td> <td>    1.474</td> <td> 0.141</td> <td>   -0.034</td> <td>    0.237</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Leslie Man Cheuk IP]</th>                          <td>   -0.6050</td> <td>    0.059</td> <td>  -10.231</td> <td> 0.000</td> <td>   -0.721</td> <td>   -0.489</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Liam FIRUS]</th>                                   <td>    2.0501</td> <td>    0.060</td> <td>   34.332</td> <td> 0.000</td> <td>    1.933</td> <td>    2.167</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Lilah FEAR / Lewis GIBSON]</th>                    <td>    0.9394</td> <td>    0.063</td> <td>   14.899</td> <td> 0.000</td> <td>    0.816</td> <td>    1.063</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Linshu SONG / Zhuoming SUN]</th>                   <td>    0.5223</td> <td>    0.056</td> <td>    9.258</td> <td> 0.000</td> <td>    0.412</td> <td>    0.633</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Liubov ILYUSHECHKINA / Dylan MOSCOVITCH]</th>      <td>    2.4910</td> <td>    0.052</td> <td>   47.773</td> <td> 0.000</td> <td>    2.389</td> <td>    2.593</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Loena HENDRICKX]</th>                              <td>    1.3056</td> <td>    0.055</td> <td>   23.922</td> <td> 0.000</td> <td>    1.199</td> <td>    1.413</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Lola ESBRAT / Andrei NOVOSELOV]</th>               <td>    0.5748</td> <td>    0.055</td> <td>   10.396</td> <td> 0.000</td> <td>    0.466</td> <td>    0.683</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Lorenza ALESSANDRINI / Pierre SOUQUET]</th>        <td>    1.0088</td> <td>    0.058</td> <td>   17.445</td> <td> 0.000</td> <td>    0.895</td> <td>    1.122</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Lorraine MCNAMARA / Quinn CARPENTER]</th>          <td>    1.8539</td> <td>    0.060</td> <td>   31.016</td> <td> 0.000</td> <td>    1.737</td> <td>    1.971</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Lucie MYSLIVECKOVA / Lukas CSOLLEY]</th>           <td>    1.2257</td> <td>    0.056</td> <td>   21.704</td> <td> 0.000</td> <td>    1.115</td> <td>    1.336</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Madison CHOCK / Evan BATES]</th>                   <td>    3.5776</td> <td>    0.052</td> <td>   69.350</td> <td> 0.000</td> <td>    3.477</td> <td>    3.679</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Madison HUBBELL / Zachary DONOHUE]</th>            <td>    3.4348</td> <td>    0.052</td> <td>   66.608</td> <td> 0.000</td> <td>    3.334</td> <td>    3.536</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Mae Berenice MEITE]</th>                           <td>    0.9921</td> <td>    0.053</td> <td>   18.851</td> <td> 0.000</td> <td>    0.889</td> <td>    1.095</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Mai MIHARA]</th>                                   <td>    2.4048</td> <td>    0.052</td> <td>   46.131</td> <td> 0.000</td> <td>    2.303</td> <td>    2.507</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Maia SHIBUTANI / Alex SHIBUTANI]</th>              <td>    3.7746</td> <td>    0.052</td> <td>   73.191</td> <td> 0.000</td> <td>    3.674</td> <td>    3.876</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Maisy Hiu Ching MA]</th>                           <td>   -0.1082</td> <td>    0.069</td> <td>   -1.569</td> <td> 0.117</td> <td>   -0.243</td> <td>    0.027</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Malin MALMBERG / Thomas NORDAHL]</th>              <td>   -1.7893</td> <td>    0.084</td> <td>  -21.236</td> <td> 0.000</td> <td>   -1.954</td> <td>   -1.624</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Mao ASADA]</th>                                    <td>    2.6735</td> <td>    0.060</td> <td>   44.713</td> <td> 0.000</td> <td>    2.556</td> <td>    2.791</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Mari VARTMANN / Ruben BLOMMAERT]</th>              <td>    1.7599</td> <td>    0.060</td> <td>   29.401</td> <td> 0.000</td> <td>    1.643</td> <td>    1.877</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Maria SOTSKOVA]</th>                               <td>    2.6416</td> <td>    0.051</td> <td>   51.653</td> <td> 0.000</td> <td>    2.541</td> <td>    2.742</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Mariah BELL]</th>                                  <td>    1.9907</td> <td>    0.053</td> <td>   37.807</td> <td> 0.000</td> <td>    1.888</td> <td>    2.094</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Marie-Jade LAURIAULT / Romain LE GAC]</th>         <td>    1.6796</td> <td>    0.052</td> <td>   32.246</td> <td> 0.000</td> <td>    1.578</td> <td>    1.782</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Marin HONDA]</th>                                  <td>    2.1442</td> <td>    0.060</td> <td>   35.893</td> <td> 0.000</td> <td>    2.027</td> <td>    2.261</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Mario-Rafael IONIAN]</th>                          <td>   -0.8185</td> <td>    0.084</td> <td>   -9.717</td> <td> 0.000</td> <td>   -0.984</td> <td>   -0.653</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Marissa CASTELLI / Mervin TRAN]</th>               <td>    1.9070</td> <td>    0.055</td> <td>   34.888</td> <td> 0.000</td> <td>    1.800</td> <td>    2.014</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Mark GORODNITSKY]</th>                             <td>   -0.2320</td> <td>    0.084</td> <td>   -2.754</td> <td> 0.006</td> <td>   -0.397</td> <td>   -0.067</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Mark WEBSTER]</th>                                 <td>   -0.0859</td> <td>    0.062</td> <td>   -1.375</td> <td> 0.169</td> <td>   -0.208</td> <td>    0.037</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Matilda ALGOTSSON]</th>                            <td>    0.4315</td> <td>    0.063</td> <td>    6.836</td> <td> 0.000</td> <td>    0.308</td> <td>    0.555</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Matilda FRIEND / William BADAOUI]</th>             <td>   -1.0432</td> <td>    0.060</td> <td>  -17.450</td> <td> 0.000</td> <td>   -1.160</td> <td>   -0.926</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Matteo RIZZO]</th>                                 <td>    1.5561</td> <td>    0.058</td> <td>   27.004</td> <td> 0.000</td> <td>    1.443</td> <td>    1.669</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Maurizio ZANDRON]</th>                             <td>    0.8596</td> <td>    0.069</td> <td>   12.445</td> <td> 0.000</td> <td>    0.724</td> <td>    0.995</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Max AARON]</th>                                    <td>    2.2006</td> <td>    0.053</td> <td>   41.400</td> <td> 0.000</td> <td>    2.096</td> <td>    2.305</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Maxim KOVTUN]</th>                                 <td>    2.4062</td> <td>    0.054</td> <td>   44.659</td> <td> 0.000</td> <td>    2.301</td> <td>    2.512</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Meagan DUHAMEL / Eric RADFORD]</th>                <td>    3.2421</td> <td>    0.051</td> <td>   63.047</td> <td> 0.000</td> <td>    3.141</td> <td>    3.343</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Micah Kai LYNETTE]</th>                            <td>   -0.5051</td> <td>    0.083</td> <td>   -6.061</td> <td> 0.000</td> <td>   -0.668</td> <td>   -0.342</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Micah TANG]</th>                                   <td>   -1.0031</td> <td>    0.062</td> <td>  -16.062</td> <td> 0.000</td> <td>   -1.125</td> <td>   -0.881</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Michael Christian MARTINEZ]</th>                   <td>    1.0259</td> <td>    0.057</td> <td>   17.849</td> <td> 0.000</td> <td>    0.913</td> <td>    1.139</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Michael NEUMAN]</th>                               <td>   -0.3041</td> <td>    0.069</td> <td>   -4.410</td> <td> 0.000</td> <td>   -0.439</td> <td>   -0.169</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Michaela DU TOIT]</th>                             <td>   -0.6555</td> <td>    0.084</td> <td>   -7.792</td> <td> 0.000</td> <td>   -0.820</td> <td>   -0.491</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Michaela-Lucie HANZLIKOVA]</th>                    <td>   -0.0563</td> <td>    0.063</td> <td>   -0.893</td> <td> 0.372</td> <td>   -0.180</td> <td>    0.067</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Michal BREZINA]</th>                               <td>    2.4123</td> <td>    0.052</td> <td>   46.666</td> <td> 0.000</td> <td>    2.311</td> <td>    2.514</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Michelle LONG]</th>                                <td>    0.9217</td> <td>    0.069</td> <td>   13.338</td> <td> 0.000</td> <td>    0.786</td> <td>    1.057</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Micol CRISTINI]</th>                               <td>    0.2657</td> <td>    0.069</td> <td>    3.847</td> <td> 0.000</td> <td>    0.130</td> <td>    0.401</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Mikhail KOLYADA]</th>                              <td>    3.0031</td> <td>    0.051</td> <td>   58.475</td> <td> 0.000</td> <td>    2.902</td> <td>    3.104</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Minerva Fabienne HASE / Nolan SEEGERT]</th>        <td>    0.3847</td> <td>    0.063</td> <td>    6.101</td> <td> 0.000</td> <td>    0.261</td> <td>    0.508</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Mingyang ZHANG / Bowen SONG]</th>                  <td>    0.1271</td> <td>    0.069</td> <td>    1.843</td> <td> 0.065</td> <td>   -0.008</td> <td>    0.262</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Minji JI / Themistocles LEFTHERIS]</th>            <td>   -0.2674</td> <td>    0.069</td> <td>   -3.880</td> <td> 0.000</td> <td>   -0.402</td> <td>   -0.132</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Mirai NAGASU]</th>                                 <td>    2.0784</td> <td>    0.053</td> <td>   39.466</td> <td> 0.000</td> <td>    1.975</td> <td>    2.182</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Miriam ZIEGLER / Severin KIEFER]</th>              <td>    1.2964</td> <td>    0.052</td> <td>   24.859</td> <td> 0.000</td> <td>    1.194</td> <td>    1.399</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Misato KOMATSUBARA / Tim KOLETO]</th>              <td>    0.8069</td> <td>    0.060</td> <td>   13.520</td> <td> 0.000</td> <td>    0.690</td> <td>    0.924</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Misha GE]</th>                                     <td>    2.5727</td> <td>    0.051</td> <td>   49.989</td> <td> 0.000</td> <td>    2.472</td> <td>    2.674</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Miu SUZAKI / Ryuichi KIHARA]</th>                  <td>    0.2963</td> <td>    0.055</td> <td>    5.351</td> <td> 0.000</td> <td>    0.188</td> <td>    0.405</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Morisi KVITELASHVILI]</th>                         <td>    1.7045</td> <td>    0.053</td> <td>   32.415</td> <td> 0.000</td> <td>    1.601</td> <td>    1.808</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Nahyun KIM]</th>                                   <td>    1.1174</td> <td>    0.063</td> <td>   17.758</td> <td> 0.000</td> <td>    0.994</td> <td>    1.241</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Nam NGUYEN]</th>                                   <td>    1.8576</td> <td>    0.052</td> <td>   35.439</td> <td> 0.000</td> <td>    1.755</td> <td>    1.960</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Natalia KALISZEK / Maksym SPODYRIEV]</th>          <td>    1.9243</td> <td>    0.052</td> <td>   37.108</td> <td> 0.000</td> <td>    1.823</td> <td>    2.026</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Natalia ZABIIAKO / Alexander ENBERT]</th>          <td>    2.5528</td> <td>    0.051</td> <td>   49.635</td> <td> 0.000</td> <td>    2.452</td> <td>    2.654</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Natalie KLOTZ]</th>                                <td>   -0.7668</td> <td>    0.084</td> <td>   -9.086</td> <td> 0.000</td> <td>   -0.932</td> <td>   -0.601</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Natalie SANGKAGALO]</th>                           <td>   -1.4474</td> <td>    0.069</td> <td>  -20.945</td> <td> 0.000</td> <td>   -1.583</td> <td>   -1.312</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Natasha MCKAY]</th>                                <td>    0.2911</td> <td>    0.060</td> <td>    4.867</td> <td> 0.000</td> <td>    0.174</td> <td>    0.408</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Nathalie WEINZIERL]</th>                           <td>    0.7651</td> <td>    0.069</td> <td>   11.065</td> <td> 0.000</td> <td>    0.630</td> <td>    0.901</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Nathan CHEN]</th>                                  <td>    3.0243</td> <td>    0.051</td> <td>   58.922</td> <td> 0.000</td> <td>    2.924</td> <td>    3.125</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Nicholas VRDOLJAK]</th>                            <td>   -0.4156</td> <td>    0.063</td> <td>   -6.609</td> <td> 0.000</td> <td>   -0.539</td> <td>   -0.292</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Nicky OBREYKOV]</th>                               <td>   -0.5692</td> <td>    0.069</td> <td>   -8.254</td> <td> 0.000</td> <td>   -0.704</td> <td>   -0.434</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Nicolas NADEAU]</th>                               <td>    2.1053</td> <td>    0.069</td> <td>   30.494</td> <td> 0.000</td> <td>    1.970</td> <td>    2.241</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Nicole DELLA MONICA / Matteo GUARISE]</th>         <td>    2.2588</td> <td>    0.052</td> <td>   43.644</td> <td> 0.000</td> <td>    2.157</td> <td>    2.360</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Nicole KUZMICHOVA / Alexandr SINICYN]</th>         <td>    0.8735</td> <td>    0.060</td> <td>   14.596</td> <td> 0.000</td> <td>    0.756</td> <td>    0.991</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Nicole RAJICOVA]</th>                              <td>    1.4271</td> <td>    0.052</td> <td>   27.581</td> <td> 0.000</td> <td>    1.326</td> <td>    1.529</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Nicole SCHOTT]</th>                                <td>    1.2392</td> <td>    0.053</td> <td>   23.539</td> <td> 0.000</td> <td>    1.136</td> <td>    1.342</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Olga JAKUSHINA / Andrey NEVSKIY]</th>              <td>    0.6022</td> <td>    0.069</td> <td>    8.747</td> <td> 0.000</td> <td>    0.467</td> <td>    0.737</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Olivia SMART / Adria DIAZ]</th>                    <td>    1.9394</td> <td>    0.060</td> <td>   32.470</td> <td> 0.000</td> <td>    1.822</td> <td>    2.056</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Paige CONNERS / Evgeni KRASNOPOLSKI]</th>          <td>    0.5638</td> <td>    0.063</td> <td>    8.956</td> <td> 0.000</td> <td>    0.440</td> <td>    0.687</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Patrick CHAN]</th>                                 <td>    3.7505</td> <td>    0.052</td> <td>   72.013</td> <td> 0.000</td> <td>    3.648</td> <td>    3.853</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Paul FENTZ]</th>                                   <td>    1.4346</td> <td>    0.053</td> <td>   26.875</td> <td> 0.000</td> <td>    1.330</td> <td>    1.539</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Penny COOMES / Nicholas BUCKLAND]</th>             <td>    2.6914</td> <td>    0.056</td> <td>   47.694</td> <td> 0.000</td> <td>    2.581</td> <td>    2.802</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Pernille SORENSEN]</th>                            <td>   -0.6232</td> <td>    0.069</td> <td>   -9.024</td> <td> 0.000</td> <td>   -0.759</td> <td>   -0.488</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Phillip HARRIS]</th>                               <td>    1.0212</td> <td>    0.069</td> <td>   14.772</td> <td> 0.000</td> <td>    0.886</td> <td>    1.157</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Piper GILLES / Paul POIRIER]</th>                  <td>    3.1503</td> <td>    0.052</td> <td>   60.268</td> <td> 0.000</td> <td>    3.048</td> <td>    3.253</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Polina EDMUNDS]</th>                               <td>    1.4170</td> <td>    0.069</td> <td>   20.581</td> <td> 0.000</td> <td>    1.282</td> <td>    1.552</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Polina TSURSKAYA]</th>                             <td>    2.3682</td> <td>    0.060</td> <td>   39.608</td> <td> 0.000</td> <td>    2.251</td> <td>    2.485</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Presiyana DIMITROVA]</th>                          <td>   -1.6858</td> <td>    0.084</td> <td>  -19.976</td> <td> 0.000</td> <td>   -1.851</td> <td>   -1.520</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Rachel PARSONS / Michael PARSONS]</th>             <td>    1.8840</td> <td>    0.056</td> <td>   33.449</td> <td> 0.000</td> <td>    1.774</td> <td>    1.994</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Rebecca GHILARDI / Filippo AMBROSINI]</th>         <td>    0.0397</td> <td>    0.069</td> <td>    0.574</td> <td> 0.566</td> <td>   -0.096</td> <td>    0.175</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Rika HONGO]</th>                                   <td>    2.1009</td> <td>    0.053</td> <td>   39.861</td> <td> 0.000</td> <td>    1.998</td> <td>    2.204</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Rikako FUKASE / Aru TATENO]</th>                   <td>   -0.0518</td> <td>    0.069</td> <td>   -0.752</td> <td> 0.452</td> <td>   -0.187</td> <td>    0.083</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Riku MIURA / Shoya ICHIHASHI]</th>                 <td>   -0.5185</td> <td>    0.070</td> <td>   -7.443</td> <td> 0.000</td> <td>   -0.655</td> <td>   -0.382</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Roberta RODEGHIERO]</th>                           <td>    1.3433</td> <td>    0.056</td> <td>   23.819</td> <td> 0.000</td> <td>    1.233</td> <td>    1.454</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Robynne TWEEDALE / Joseph BUCKLAND]</th>           <td>    0.3199</td> <td>    0.084</td> <td>    3.799</td> <td> 0.000</td> <td>    0.155</td> <td>    0.485</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Romain PONSART]</th>                               <td>    0.9709</td> <td>    0.060</td> <td>   16.274</td> <td> 0.000</td> <td>    0.854</td> <td>    1.088</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Roman SADOVSKY]</th>                               <td>    1.4796</td> <td>    0.069</td> <td>   21.493</td> <td> 0.000</td> <td>    1.345</td> <td>    1.615</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Ross MINER]</th>                                   <td>    2.1588</td> <td>    0.056</td> <td>   38.317</td> <td> 0.000</td> <td>    2.048</td> <td>    2.269</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Ryuju HINO]</th>                                   <td>    1.5493</td> <td>    0.069</td> <td>   22.441</td> <td> 0.000</td> <td>    1.414</td> <td>    1.685</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Sara HURTADO / Kirill KHALIAVIN]</th>              <td>    2.0538</td> <td>    0.056</td> <td>   36.369</td> <td> 0.000</td> <td>    1.943</td> <td>    2.165</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Sarah ARNOLD / Thomas WILLIAMS]</th>               <td>    1.0954</td> <td>    0.069</td> <td>   15.895</td> <td> 0.000</td> <td>    0.960</td> <td>    1.230</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Satoko MIYAHARA]</th>                              <td>    3.0968</td> <td>    0.052</td> <td>   59.829</td> <td> 0.000</td> <td>    2.995</td> <td>    3.198</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Serafima SAKHANOVICH]</th>                         <td>    1.6785</td> <td>    0.060</td> <td>   28.050</td> <td> 0.000</td> <td>    1.561</td> <td>    1.796</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Sergei VORONOV]</th>                               <td>    2.6705</td> <td>    0.053</td> <td>   49.993</td> <td> 0.000</td> <td>    2.566</td> <td>    2.775</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Shiyue WANG / Xinyu LIU]</th>                      <td>    1.7286</td> <td>    0.052</td> <td>   33.230</td> <td> 0.000</td> <td>    1.627</td> <td>    1.831</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Shoma UNO]</th>                                    <td>    3.5478</td> <td>    0.051</td> <td>   69.613</td> <td> 0.000</td> <td>    3.448</td> <td>    3.648</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Shuran YU]</th>                                    <td>   -0.0671</td> <td>    0.063</td> <td>   -1.066</td> <td> 0.286</td> <td>   -0.190</td> <td>    0.056</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Sihyeong LEE]</th>                                 <td>    0.5863</td> <td>    0.059</td> <td>    9.916</td> <td> 0.000</td> <td>    0.470</td> <td>    0.702</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Sila SAYGI]</th>                                   <td>   -0.4390</td> <td>    0.084</td> <td>   -5.202</td> <td> 0.000</td> <td>   -0.604</td> <td>   -0.274</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Silvia HUGEC]</th>                                 <td>   -0.6343</td> <td>    0.069</td> <td>   -9.184</td> <td> 0.000</td> <td>   -0.770</td> <td>   -0.499</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Slavik HAYRAPETYAN]</th>                           <td>    0.2924</td> <td>    0.058</td> <td>    5.061</td> <td> 0.000</td> <td>    0.179</td> <td>    0.406</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.So Youn PARK]</th>                                 <td>    1.7818</td> <td>    0.060</td> <td>   29.800</td> <td> 0.000</td> <td>    1.665</td> <td>    1.899</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Sofia EVDOKIMOVA / Egor BAZIN]</th>                <td>    1.1454</td> <td>    0.069</td> <td>   16.592</td> <td> 0.000</td> <td>    1.010</td> <td>    1.281</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Sofiya KARAGODINA / Semyon STEPANOV]</th>          <td>   -0.8459</td> <td>    0.069</td> <td>  -12.250</td> <td> 0.000</td> <td>   -0.981</td> <td>   -0.711</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Sondre ODDVOLL BOE]</th>                           <td>    0.4199</td> <td>    0.060</td> <td>    7.013</td> <td> 0.000</td> <td>    0.303</td> <td>    0.537</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Soyoun PARK]</th>                                  <td>    1.0549</td> <td>    0.060</td> <td>   17.647</td> <td> 0.000</td> <td>    0.938</td> <td>    1.172</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Starr ANDREWS]</th>                                <td>    1.0717</td> <td>    0.069</td> <td>   15.509</td> <td> 0.000</td> <td>    0.936</td> <td>    1.207</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Stephane WALKER]</th>                              <td>    0.9571</td> <td>    0.058</td> <td>   16.569</td> <td> 0.000</td> <td>    0.844</td> <td>    1.070</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Su Yeon KIM / Hyungtae KIM]</th>                   <td>   -0.1869</td> <td>    0.069</td> <td>   -2.711</td> <td> 0.007</td> <td>   -0.322</td> <td>   -0.052</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Suh Hyun SON]</th>                                 <td>   -0.2471</td> <td>    0.069</td> <td>   -3.581</td> <td> 0.000</td> <td>   -0.382</td> <td>   -0.112</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Sumire SUTO / Francis BOUDREAU-AUDET]</th>         <td>    0.9153</td> <td>    0.054</td> <td>   16.993</td> <td> 0.000</td> <td>    0.810</td> <td>    1.021</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Sydney KOLODZIEJ / Maxime DESCHAMPS]</th>          <td>    0.8531</td> <td>    0.060</td> <td>   14.258</td> <td> 0.000</td> <td>    0.736</td> <td>    0.970</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Tae Ok RYOM / Ju Sik KIM]</th>                     <td>    1.6407</td> <td>    0.056</td> <td>   29.071</td> <td> 0.000</td> <td>    1.530</td> <td>    1.751</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Takahito MURA]</th>                                <td>    2.2096</td> <td>    0.053</td> <td>   41.562</td> <td> 0.000</td> <td>    2.105</td> <td>    2.314</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Tarah KAYNE / Daniel O SHEA]</th>                  <td>    1.9510</td> <td>    0.057</td> <td>   34.518</td> <td> 0.000</td> <td>    1.840</td> <td>    2.062</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Tatiana DANILOVA / Mikalai KAMIANCHUK]</th>        <td>    0.2395</td> <td>    0.063</td> <td>    3.798</td> <td> 0.000</td> <td>    0.116</td> <td>    0.363</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Tatiana KOZMAVA / Alexei SHUMSKI]</th>             <td>   -0.0256</td> <td>    0.069</td> <td>   -0.371</td> <td> 0.710</td> <td>   -0.161</td> <td>    0.109</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Taylor TRAN / Saulius AMBRULEVICIUS]</th>          <td>    0.5026</td> <td>    0.063</td> <td>    7.972</td> <td> 0.000</td> <td>    0.379</td> <td>    0.626</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Teodora MARKOVA / Simon DAZE]</th>                 <td>   -1.0615</td> <td>    0.084</td> <td>  -12.599</td> <td> 0.000</td> <td>   -1.227</td> <td>   -0.896</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Tessa VIRTUE / Scott MOIR]</th>                    <td>    4.1214</td> <td>    0.052</td> <td>   79.910</td> <td> 0.000</td> <td>    4.020</td> <td>    4.223</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Thita LAMSAM]</th>                                 <td>   -1.3835</td> <td>    0.069</td> <td>  -20.020</td> <td> 0.000</td> <td>   -1.519</td> <td>   -1.248</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Thomas KENNES]</th>                                <td>   -0.2220</td> <td>    0.069</td> <td>   -3.219</td> <td> 0.001</td> <td>   -0.357</td> <td>   -0.087</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Tiffani ZAGORSKI / Jonathan GUERREIRO]</th>        <td>    2.4087</td> <td>    0.054</td> <td>   45.021</td> <td> 0.000</td> <td>    2.304</td> <td>    2.514</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Timothy DOLENSKY]</th>                             <td>    2.1293</td> <td>    0.069</td> <td>   30.854</td> <td> 0.000</td> <td>    1.994</td> <td>    2.265</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Tina GARABEDIAN / Simon PROULX-SENECAL]</th>       <td>    0.7761</td> <td>    0.058</td> <td>   13.417</td> <td> 0.000</td> <td>    0.663</td> <td>    0.889</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Valentina MARCHEI / Ondrej HOTAREK]</th>           <td>    2.3447</td> <td>    0.052</td> <td>   45.292</td> <td> 0.000</td> <td>    2.243</td> <td>    2.446</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Valentina MATOS]</th>                              <td>   -0.9634</td> <td>    0.069</td> <td>  -13.968</td> <td> 0.000</td> <td>   -1.099</td> <td>   -0.828</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Valeriia MIKHAILOVA]</th>                          <td>    1.5448</td> <td>    0.069</td> <td>   22.479</td> <td> 0.000</td> <td>    1.410</td> <td>    1.679</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Valtter VIRTANEN]</th>                             <td>    0.3895</td> <td>    0.058</td> <td>    6.743</td> <td> 0.000</td> <td>    0.276</td> <td>    0.503</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Vanessa JAMES / Morgan CIPRES]</th>                <td>    2.9244</td> <td>    0.052</td> <td>   56.517</td> <td> 0.000</td> <td>    2.823</td> <td>    3.026</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Vavara OGLOBLINA / Mikhail ZHIRNOV]</th>           <td>    0.3342</td> <td>    0.084</td> <td>    3.969</td> <td> 0.000</td> <td>    0.169</td> <td>    0.499</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Victoria MANNI / Carlo ROTHLISBERGER]</th>         <td>    0.0209</td> <td>    0.069</td> <td>    0.303</td> <td> 0.762</td> <td>   -0.114</td> <td>    0.156</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Victoria SINITSINA / Nikita KATSALAPOV]</th>       <td>    3.0931</td> <td>    0.054</td> <td>   57.746</td> <td> 0.000</td> <td>    2.988</td> <td>    3.198</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Viktoria KAVALIOVA / Yurii BIELIAIEV]</th>         <td>    0.8316</td> <td>    0.054</td> <td>   15.387</td> <td> 0.000</td> <td>    0.726</td> <td>    0.938</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Vincent ZHOU]</th>                                 <td>    1.6953</td> <td>    0.056</td> <td>   30.194</td> <td> 0.000</td> <td>    1.585</td> <td>    1.805</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Viveca LINDFORS]</th>                              <td>    0.3116</td> <td>    0.060</td> <td>    5.203</td> <td> 0.000</td> <td>    0.194</td> <td>    0.429</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Wakaba HIGUCHI]</th>                               <td>    2.4198</td> <td>    0.052</td> <td>   46.440</td> <td> 0.000</td> <td>    2.318</td> <td>    2.522</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Wenjing SUI / Cong HAN]</th>                       <td>    3.7898</td> <td>    0.053</td> <td>   71.931</td> <td> 0.000</td> <td>    3.687</td> <td>    3.893</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Xiangning LI]</th>                                 <td>    0.9749</td> <td>    0.052</td> <td>   18.694</td> <td> 0.000</td> <td>    0.873</td> <td>    1.077</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Xiaotong WANG / Kaige ZHAO]</th>                   <td>   -0.4015</td> <td>    0.069</td> <td>   -5.812</td> <td> 0.000</td> <td>   -0.537</td> <td>   -0.266</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Xiaoyu YU / Hao ZHANG]</th>                        <td>    2.7759</td> <td>    0.051</td> <td>   53.947</td> <td> 0.000</td> <td>    2.675</td> <td>    2.877</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Xuehan WANG / Lei WANG]</th>                       <td>    2.2015</td> <td>    0.060</td> <td>   36.780</td> <td> 0.000</td> <td>    2.084</td> <td>    2.319</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Yakau ZENKO]</th>                                  <td>   -0.6564</td> <td>    0.084</td> <td>   -7.775</td> <td> 0.000</td> <td>   -0.822</td> <td>   -0.491</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Yaroslav PANIOT]</th>                              <td>    0.3483</td> <td>    0.069</td> <td>    5.064</td> <td> 0.000</td> <td>    0.213</td> <td>    0.483</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Yasmine Kimiko YAMADA]</th>                        <td>   -0.2046</td> <td>    0.069</td> <td>   -2.972</td> <td> 0.003</td> <td>   -0.340</td> <td>   -0.070</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Yuka NAGAI]</th>                                   <td>    1.4501</td> <td>    0.060</td> <td>   24.259</td> <td> 0.000</td> <td>    1.333</td> <td>    1.567</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Yuko KAVAGUTI / Alexander SMIRNOV]</th>            <td>    2.5224</td> <td>    0.060</td> <td>   42.064</td> <td> 0.000</td> <td>    2.405</td> <td>    2.640</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Yuna SHIRAIWA]</th>                                <td>    1.8846</td> <td>    0.060</td> <td>   31.563</td> <td> 0.000</td> <td>    1.768</td> <td>    2.002</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Yura MATSUDA]</th>                                 <td>    1.9562</td> <td>    0.060</td> <td>   32.684</td> <td> 0.000</td> <td>    1.839</td> <td>    2.073</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Yura MIN / Alexander GAMELIN]</th>                 <td>    1.3476</td> <td>    0.054</td> <td>   25.179</td> <td> 0.000</td> <td>    1.243</td> <td>    1.453</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Yuzuru HANYU]</th>                                 <td>    3.8447</td> <td>    0.052</td> <td>   73.851</td> <td> 0.000</td> <td>    3.743</td> <td>    3.947</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Zijun LI]</th>                                     <td>    1.6558</td> <td>    0.055</td> <td>   30.336</td> <td> 0.000</td> <td>    1.549</td> <td>    1.763</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Ziquan ZHAO]</th>                                  <td>    0.6200</td> <td>    0.055</td> <td>   11.363</td> <td> 0.000</td> <td>    0.513</td> <td>    0.727</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Zoe JONES / Christopher BOYADJI]</th>              <td>    0.0898</td> <td>    0.058</td> <td>    1.557</td> <td> 0.119</td> <td>   -0.023</td> <td>    0.203</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Adrienn SCHADENBAUER]</th>                          <td>   -0.4681</td> <td>    0.040</td> <td>  -11.636</td> <td> 0.000</td> <td>   -0.547</td> <td>   -0.389</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Agita ABELE]</th>                                   <td>   -0.3846</td> <td>    0.024</td> <td>  -15.853</td> <td> 0.000</td> <td>   -0.432</td> <td>   -0.337</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Agnieszka SWIDERSKA]</th>                           <td>   -0.3644</td> <td>    0.041</td> <td>   -8.959</td> <td> 0.000</td> <td>   -0.444</td> <td>   -0.285</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Aigul KUANISHEVA]</th>                              <td>   -0.2727</td> <td>    0.048</td> <td>   -5.698</td> <td> 0.000</td> <td>   -0.366</td> <td>   -0.179</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Akiko KOBAYASHI]</th>                               <td>   -0.4763</td> <td>    0.039</td> <td>  -12.083</td> <td> 0.000</td> <td>   -0.554</td> <td>   -0.399</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Akira YOSHIZAWA]</th>                               <td>   -0.2691</td> <td>    0.047</td> <td>   -5.671</td> <td> 0.000</td> <td>   -0.362</td> <td>   -0.176</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Akos PETHES]</th>                                   <td>   -0.6826</td> <td>    0.039</td> <td>  -17.620</td> <td> 0.000</td> <td>   -0.759</td> <td>   -0.607</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Albert ZAYDMAN]</th>                                <td>   -0.3462</td> <td>    0.026</td> <td>  -13.065</td> <td> 0.000</td> <td>   -0.398</td> <td>   -0.294</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Alexandre GOROJDANOV]</th>                          <td>   -0.2705</td> <td>    0.030</td> <td>   -8.953</td> <td> 0.000</td> <td>   -0.330</td> <td>   -0.211</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Alexei BELETSKI]</th>                               <td>   -0.3409</td> <td>    0.027</td> <td>  -12.501</td> <td> 0.000</td> <td>   -0.394</td> <td>   -0.287</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Alice WALDER]</th>                                  <td>   -0.4209</td> <td>    0.042</td> <td>  -10.008</td> <td> 0.000</td> <td>   -0.503</td> <td>   -0.338</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Alison RYAN]</th>                                   <td>   -0.8207</td> <td>    0.037</td> <td>  -22.255</td> <td> 0.000</td> <td>   -0.893</td> <td>   -0.748</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Allan BOEHM]</th>                                   <td>   -0.3114</td> <td>    0.038</td> <td>   -8.171</td> <td> 0.000</td> <td>   -0.386</td> <td>   -0.237</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Anastassia MAKAROVA]</th>                           <td>   -0.3868</td> <td>    0.031</td> <td>  -12.347</td> <td> 0.000</td> <td>   -0.448</td> <td>   -0.325</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Anastassiya MAKAROVA]</th>                          <td>   -0.4750</td> <td>    0.048</td> <td>   -9.928</td> <td> 0.000</td> <td>   -0.569</td> <td>   -0.381</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Andre-Marc ALLAIN]</th>                             <td>   -0.4549</td> <td>    0.034</td> <td>  -13.570</td> <td> 0.000</td> <td>   -0.521</td> <td>   -0.389</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Andrea DERBY]</th>                                  <td>   -0.4278</td> <td>    0.033</td> <td>  -12.978</td> <td> 0.000</td> <td>   -0.492</td> <td>   -0.363</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Andrea GMELIN]</th>                                 <td>   -0.3601</td> <td>    0.035</td> <td>  -10.178</td> <td> 0.000</td> <td>   -0.429</td> <td>   -0.291</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Andreas WALDECK]</th>                               <td>   -0.5490</td> <td>    0.041</td> <td>  -13.402</td> <td> 0.000</td> <td>   -0.629</td> <td>   -0.469</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Angelique CLYDE-SMITH]</th>                         <td>   -0.4647</td> <td>    0.029</td> <td>  -16.018</td> <td> 0.000</td> <td>   -0.522</td> <td>   -0.408</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Anja RIST]</th>                                     <td>   -0.5326</td> <td>    0.052</td> <td>  -10.299</td> <td> 0.000</td> <td>   -0.634</td> <td>   -0.431</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Ann FINDLAY]</th>                                   <td>   -0.5965</td> <td>    0.035</td> <td>  -17.265</td> <td> 0.000</td> <td>   -0.664</td> <td>   -0.529</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Anna KANTOR]</th>                                   <td>   -0.4680</td> <td>    0.025</td> <td>  -18.685</td> <td> 0.000</td> <td>   -0.517</td> <td>   -0.419</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Anne CAMMETT]</th>                                  <td>   -0.6120</td> <td>    0.035</td> <td>  -17.681</td> <td> 0.000</td> <td>   -0.680</td> <td>   -0.544</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Anthony LEROY]</th>                                 <td>   -0.4516</td> <td>    0.027</td> <td>  -17.037</td> <td> 0.000</td> <td>   -0.504</td> <td>   -0.400</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Ariadna MORONES NEGRETE]</th>                       <td>   -0.6839</td> <td>    0.037</td> <td>  -18.574</td> <td> 0.000</td> <td>   -0.756</td> <td>   -0.612</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Asa NORDBACK]</th>                                  <td>   -0.3539</td> <td>    0.045</td> <td>   -7.848</td> <td> 0.000</td> <td>   -0.442</td> <td>   -0.266</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Attila SOOS]</th>                                   <td>   -0.4006</td> <td>    0.035</td> <td>  -11.594</td> <td> 0.000</td> <td>   -0.468</td> <td>   -0.333</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Ayumi KOZUKA]</th>                                  <td>   -0.5982</td> <td>    0.028</td> <td>  -21.266</td> <td> 0.000</td> <td>   -0.653</td> <td>   -0.543</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Beatrice PFISTER]</th>                              <td>   -0.3056</td> <td>    0.045</td> <td>   -6.778</td> <td> 0.000</td> <td>   -0.394</td> <td>   -0.217</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Beth CRANE]</th>                                    <td>   -0.5441</td> <td>    0.039</td> <td>  -13.804</td> <td> 0.000</td> <td>   -0.621</td> <td>   -0.467</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Bettina MEIER]</th>                                 <td>   -0.4956</td> <td>    0.034</td> <td>  -14.425</td> <td> 0.000</td> <td>   -0.563</td> <td>   -0.428</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Chihee RHEE]</th>                                   <td>   -0.4673</td> <td>    0.026</td> <td>  -18.056</td> <td> 0.000</td> <td>   -0.518</td> <td>   -0.417</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Christian BAUMANN]</th>                             <td>   -0.6243</td> <td>    0.037</td> <td>  -16.965</td> <td> 0.000</td> <td>   -0.696</td> <td>   -0.552</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Christiane MILES]</th>                              <td>   -0.4529</td> <td>    0.035</td> <td>  -13.006</td> <td> 0.000</td> <td>   -0.521</td> <td>   -0.385</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Christiane MOERTH]</th>                             <td>   -0.3691</td> <td>    0.033</td> <td>  -11.250</td> <td> 0.000</td> <td>   -0.433</td> <td>   -0.305</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Christine HURTH]</th>                               <td>   -0.4548</td> <td>    0.029</td> <td>  -15.756</td> <td> 0.000</td> <td>   -0.511</td> <td>   -0.398</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Claudia BRAMBATI]</th>                              <td>   -0.2407</td> <td>    0.033</td> <td>   -7.383</td> <td> 0.000</td> <td>   -0.305</td> <td>   -0.177</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Claudia FASSORA]</th>                               <td>   -0.3898</td> <td>    0.047</td> <td>   -8.329</td> <td> 0.000</td> <td>   -0.482</td> <td>   -0.298</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Csaba BALINT]</th>                                  <td>   -0.2472</td> <td>    0.037</td> <td>   -6.691</td> <td> 0.000</td> <td>   -0.320</td> <td>   -0.175</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Cynthia BENSON]</th>                                <td>   -0.6091</td> <td>    0.031</td> <td>  -19.681</td> <td> 0.000</td> <td>   -0.670</td> <td>   -0.548</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Dagmar LURZ-PROTT]</th>                             <td>   -0.4695</td> <td>    0.034</td> <td>  -13.657</td> <td> 0.000</td> <td>   -0.537</td> <td>   -0.402</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Dan FANG]</th>                                      <td>   -0.6241</td> <td>    0.029</td> <td>  -21.732</td> <td> 0.000</td> <td>   -0.680</td> <td>   -0.568</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Daniel DELFA]</th>                                  <td>   -0.5826</td> <td>    0.025</td> <td>  -22.920</td> <td> 0.000</td> <td>   -0.632</td> <td>   -0.533</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Daniela TACCANI]</th>                               <td>   -0.2583</td> <td>    0.040</td> <td>   -6.465</td> <td> 0.000</td> <td>   -0.337</td> <td>   -0.180</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Danuta DUBROWKO]</th>                               <td>   -0.3698</td> <td>    0.033</td> <td>  -11.141</td> <td> 0.000</td> <td>   -0.435</td> <td>   -0.305</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Darja GABROVSEK-POLAJNAR]</th>                      <td>   -0.4545</td> <td>    0.048</td> <td>   -9.549</td> <td> 0.000</td> <td>   -0.548</td> <td>   -0.361</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.David MOLINA]</th>                                  <td>   -0.4138</td> <td>    0.036</td> <td>  -11.362</td> <td> 0.000</td> <td>   -0.485</td> <td>   -0.342</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.David MUNOZ]</th>                                   <td>   -0.2543</td> <td>    0.031</td> <td>   -8.137</td> <td> 0.000</td> <td>   -0.316</td> <td>   -0.193</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Deborah CURRIE]</th>                                <td>   -0.6176</td> <td>    0.038</td> <td>  -16.237</td> <td> 0.000</td> <td>   -0.692</td> <td>   -0.543</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Deborah ISLAM]</th>                                 <td>   -0.6350</td> <td>    0.048</td> <td>  -13.349</td> <td> 0.000</td> <td>   -0.728</td> <td>   -0.542</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Deborah NOYES]</th>                                 <td>   -0.1761</td> <td>    0.030</td> <td>   -5.826</td> <td> 0.000</td> <td>   -0.235</td> <td>   -0.117</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Deveny DECK]</th>                                   <td>   -0.3731</td> <td>    0.026</td> <td>  -14.205</td> <td> 0.000</td> <td>   -0.425</td> <td>   -0.322</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Donatella LEONELLI]</th>                            <td>   -0.4886</td> <td>    0.040</td> <td>  -12.146</td> <td> 0.000</td> <td>   -0.567</td> <td>   -0.410</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Doug WILLIAMS]</th>                                 <td>   -0.5283</td> <td>    0.052</td> <td>  -10.172</td> <td> 0.000</td> <td>   -0.630</td> <td>   -0.427</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Ebru ANILDI]</th>                                   <td>   -0.4153</td> <td>    0.029</td> <td>  -14.545</td> <td> 0.000</td> <td>   -0.471</td> <td>   -0.359</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Ece ESEN]</th>                                      <td>   -0.2938</td> <td>    0.051</td> <td>   -5.715</td> <td> 0.000</td> <td>   -0.395</td> <td>   -0.193</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Eddy WU]</th>                                       <td>   -0.5556</td> <td>    0.038</td> <td>  -14.480</td> <td> 0.000</td> <td>   -0.631</td> <td>   -0.480</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Edith SCHILLER]</th>                                <td>   -0.2414</td> <td>    0.035</td> <td>   -6.932</td> <td> 0.000</td> <td>   -0.310</td> <td>   -0.173</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Ekaterina SEROVA]</th>                              <td>   -0.3647</td> <td>    0.032</td> <td>  -11.324</td> <td> 0.000</td> <td>   -0.428</td> <td>   -0.302</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Elena FOMINA]</th>                                  <td>   -0.4109</td> <td>    0.025</td> <td>  -16.651</td> <td> 0.000</td> <td>   -0.459</td> <td>   -0.363</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Elena LISOVA]</th>                                  <td>   -0.1754</td> <td>    0.052</td> <td>   -3.404</td> <td> 0.001</td> <td>   -0.276</td> <td>   -0.074</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Elisabeth BINDER]</th>                              <td>   -0.3483</td> <td>    0.042</td> <td>   -8.280</td> <td> 0.000</td> <td>   -0.431</td> <td>   -0.266</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Elisabeth LOUESDON]</th>                            <td>   -0.4549</td> <td>    0.028</td> <td>  -16.521</td> <td> 0.000</td> <td>   -0.509</td> <td>   -0.401</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Elizabeth ALEXANDRE]</th>                           <td>   -0.4822</td> <td>    0.048</td> <td>  -10.090</td> <td> 0.000</td> <td>   -0.576</td> <td>   -0.389</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Elizabeth RYAN]</th>                                <td>   -0.1319</td> <td>    0.033</td> <td>   -4.011</td> <td> 0.000</td> <td>   -0.196</td> <td>   -0.067</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Elke TREITZ]</th>                                   <td>   -0.5457</td> <td>    0.028</td> <td>  -19.342</td> <td> 0.000</td> <td>   -0.601</td> <td>   -0.490</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Emilie BILLOW]</th>                                 <td>   -0.4663</td> <td>    0.037</td> <td>  -12.618</td> <td> 0.000</td> <td>   -0.539</td> <td>   -0.394</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Ernestien BAKKER]</th>                              <td>   -0.5670</td> <td>    0.035</td> <td>  -16.027</td> <td> 0.000</td> <td>   -0.636</td> <td>   -0.498</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Etsuko AZUMA]</th>                                  <td>   -0.2476</td> <td>    0.039</td> <td>   -6.335</td> <td> 0.000</td> <td>   -0.324</td> <td>   -0.171</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Evgeni ROKHIN]</th>                                 <td>   -0.0602</td> <td>    0.054</td> <td>   -1.121</td> <td> 0.262</td> <td>   -0.165</td> <td>    0.045</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Feng HUANG]</th>                                    <td>   -0.4796</td> <td>    0.026</td> <td>  -18.593</td> <td> 0.000</td> <td>   -0.530</td> <td>   -0.429</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Florence VUYLSTEKER]</th>                           <td>   -0.4465</td> <td>    0.036</td> <td>  -12.565</td> <td> 0.000</td> <td>   -0.516</td> <td>   -0.377</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Francis BETSCH]</th>                                <td>   -0.8786</td> <td>    0.064</td> <td>  -13.773</td> <td> 0.000</td> <td>   -1.004</td> <td>   -0.754</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Franco BENINI]</th>                                 <td>   -0.3855</td> <td>    0.039</td> <td>   -9.939</td> <td> 0.000</td> <td>   -0.461</td> <td>   -0.309</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Francoise DE RAPPARD]</th>                          <td>   -0.5665</td> <td>    0.026</td> <td>  -21.381</td> <td> 0.000</td> <td>   -0.618</td> <td>   -0.515</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Garry HOPPE]</th>                                   <td>   -0.2521</td> <td>    0.051</td> <td>   -4.915</td> <td> 0.000</td> <td>   -0.353</td> <td>   -0.152</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Gloria MORANDI]</th>                                <td>   -0.4489</td> <td>    0.041</td> <td>  -11.011</td> <td> 0.000</td> <td>   -0.529</td> <td>   -0.369</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Guangying QIN]</th>                                 <td>   -0.4115</td> <td>    0.032</td> <td>  -12.793</td> <td> 0.000</td> <td>   -0.475</td> <td>   -0.348</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Guona ZHAO]</th>                                    <td>   -0.2061</td> <td>    0.048</td> <td>   -4.326</td> <td> 0.000</td> <td>   -0.299</td> <td>   -0.113</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Hailan JIANG]</th>                                  <td>   -0.4608</td> <td>    0.028</td> <td>  -16.205</td> <td> 0.000</td> <td>   -0.516</td> <td>   -0.405</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Hanna THEN]</th>                                    <td>   -0.1350</td> <td>    0.040</td> <td>   -3.363</td> <td> 0.001</td> <td>   -0.214</td> <td>   -0.056</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Hege ROSTO JENSEN]</th>                             <td>   -0.6386</td> <td>    0.034</td> <td>  -18.902</td> <td> 0.000</td> <td>   -0.705</td> <td>   -0.572</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Helene CUCUPHAT]</th>                               <td>   -0.5440</td> <td>    0.063</td> <td>   -8.580</td> <td> 0.000</td> <td>   -0.668</td> <td>   -0.420</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Igor DOLGUSHIN]</th>                                <td>   -0.1783</td> <td>    0.033</td> <td>   -5.336</td> <td> 0.000</td> <td>   -0.244</td> <td>   -0.113</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Igor FEDCHENKO]</th>                                <td>   -0.2609</td> <td>    0.037</td> <td>   -7.094</td> <td> 0.000</td> <td>   -0.333</td> <td>   -0.189</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Igor OBRAZTSOV]</th>                                <td>   -0.4709</td> <td>    0.029</td> <td>  -16.125</td> <td> 0.000</td> <td>   -0.528</td> <td>   -0.414</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Igor PROKOP]</th>                                   <td>   -0.6042</td> <td>    0.037</td> <td>  -16.170</td> <td> 0.000</td> <td>   -0.677</td> <td>   -0.531</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Ingrid Charlotte WOLTER]</th>                       <td>   -0.6252</td> <td>    0.051</td> <td>  -12.197</td> <td> 0.000</td> <td>   -0.726</td> <td>   -0.525</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Irina KOMARNICKA]</th>                              <td>   -0.4000</td> <td>    0.038</td> <td>  -10.497</td> <td> 0.000</td> <td>   -0.475</td> <td>   -0.325</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Irina MEDVEDEVA]</th>                               <td>   -0.1198</td> <td>    0.034</td> <td>   -3.552</td> <td> 0.000</td> <td>   -0.186</td> <td>   -0.054</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Isabella MICHELI]</th>                              <td>   -0.7089</td> <td>    0.032</td> <td>  -22.438</td> <td> 0.000</td> <td>   -0.771</td> <td>   -0.647</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Jana BAUDYSOVA]</th>                                <td>   -0.4249</td> <td>    0.030</td> <td>  -14.049</td> <td> 0.000</td> <td>   -0.484</td> <td>   -0.366</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Janice HUNTER]</th>                                 <td>   -0.5268</td> <td>    0.029</td> <td>  -18.140</td> <td> 0.000</td> <td>   -0.584</td> <td>   -0.470</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Jean SENFT]</th>                                    <td>   -0.4024</td> <td>    0.039</td> <td>  -10.392</td> <td> 0.000</td> <td>   -0.478</td> <td>   -0.326</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Jeff LUKASIK]</th>                                  <td>   -0.4257</td> <td>    0.028</td> <td>  -15.420</td> <td> 0.000</td> <td>   -0.480</td> <td>   -0.372</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Jennifer MAST]</th>                                 <td>   -0.3027</td> <td>    0.054</td> <td>   -5.635</td> <td> 0.000</td> <td>   -0.408</td> <td>   -0.197</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Jeroen PRINS]</th>                                  <td>   -0.6136</td> <td>    0.034</td> <td>  -17.865</td> <td> 0.000</td> <td>   -0.681</td> <td>   -0.546</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Jezabel DABOUIS]</th>                               <td>   -0.4583</td> <td>    0.040</td> <td>  -11.369</td> <td> 0.000</td> <td>   -0.537</td> <td>   -0.379</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Jia YAO]</th>                                       <td>   -0.6011</td> <td>    0.037</td> <td>  -16.357</td> <td> 0.000</td> <td>   -0.673</td> <td>   -0.529</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Jitka MOKRA]</th>                                   <td>   -0.4173</td> <td>    0.037</td> <td>  -11.167</td> <td> 0.000</td> <td>   -0.490</td> <td>   -0.344</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Joanna MILLER]</th>                                 <td>   -0.6016</td> <td>    0.044</td> <td>  -13.710</td> <td> 0.000</td> <td>   -0.688</td> <td>   -0.516</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Jodi ABBOTT]</th>                                   <td>   -0.4101</td> <td>    0.031</td> <td>  -13.053</td> <td> 0.000</td> <td>   -0.472</td> <td>   -0.348</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.John MILLIER]</th>                                  <td>   -0.4688</td> <td>    0.035</td> <td>  -13.459</td> <td> 0.000</td> <td>   -0.537</td> <td>   -0.401</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Josip CEROVAC]</th>                                 <td>   -0.5774</td> <td>    0.045</td> <td>  -12.804</td> <td> 0.000</td> <td>   -0.666</td> <td>   -0.489</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Julia ANDREEVA]</th>                                <td>   -0.3296</td> <td>    0.027</td> <td>  -12.350</td> <td> 0.000</td> <td>   -0.382</td> <td>   -0.277</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Jung-Sue LEE]</th>                                  <td>   -0.5718</td> <td>    0.030</td> <td>  -19.337</td> <td> 0.000</td> <td>   -0.630</td> <td>   -0.514</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Kadi ZVIRIK]</th>                                   <td>   -0.3547</td> <td>    0.034</td> <td>  -10.483</td> <td> 0.000</td> <td>   -0.421</td> <td>   -0.288</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Kaoru TAKINO]</th>                                  <td>   -0.3887</td> <td>    0.033</td> <td>  -11.783</td> <td> 0.000</td> <td>   -0.453</td> <td>   -0.324</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Karen BUTCHER]</th>                                 <td>   -0.3750</td> <td>    0.031</td> <td>  -11.997</td> <td> 0.000</td> <td>   -0.436</td> <td>   -0.314</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Karen HOWARD]</th>                                  <td>   -0.3755</td> <td>    0.038</td> <td>   -9.995</td> <td> 0.000</td> <td>   -0.449</td> <td>   -0.302</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Kari-Anne OLSEN]</th>                               <td>   -0.6077</td> <td>    0.029</td> <td>  -21.281</td> <td> 0.000</td> <td>   -0.664</td> <td>   -0.552</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Karin EHRHARDT]</th>                                <td>   -0.2302</td> <td>    0.034</td> <td>   -6.852</td> <td> 0.000</td> <td>   -0.296</td> <td>   -0.164</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Katalin BALCZO]</th>                                <td>   -0.5658</td> <td>    0.034</td> <td>  -16.672</td> <td> 0.000</td> <td>   -0.632</td> <td>   -0.499</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Katarina HENRIKSSON]</th>                           <td>   -0.5045</td> <td>    0.032</td> <td>  -15.570</td> <td> 0.000</td> <td>   -0.568</td> <td>   -0.441</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Kathleen HARMON]</th>                               <td>   -0.4705</td> <td>    0.033</td> <td>  -14.065</td> <td> 0.000</td> <td>   -0.536</td> <td>   -0.405</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Kenji AMAKO]</th>                                   <td>   -0.4822</td> <td>    0.030</td> <td>  -16.205</td> <td> 0.000</td> <td>   -0.541</td> <td>   -0.424</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Kersten BELLMANN]</th>                              <td>   -0.6334</td> <td>    0.048</td> <td>  -13.262</td> <td> 0.000</td> <td>   -0.727</td> <td>   -0.540</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Kerstin KIMMINUS]</th>                              <td>   -0.4909</td> <td>    0.029</td> <td>  -16.929</td> <td> 0.000</td> <td>   -0.548</td> <td>   -0.434</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Ko-Man TING]</th>                                   <td>   -0.4628</td> <td>    0.037</td> <td>  -12.594</td> <td> 0.000</td> <td>   -0.535</td> <td>   -0.391</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Kristina HOUWING]</th>                              <td>   -0.5481</td> <td>    0.034</td> <td>  -15.953</td> <td> 0.000</td> <td>   -0.615</td> <td>   -0.481</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Kristina LUNDGREN]</th>                             <td>   -0.4992</td> <td>    0.051</td> <td>   -9.738</td> <td> 0.000</td> <td>   -0.600</td> <td>   -0.399</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Kvetoslava MATEJOVA]</th>                           <td>   -0.4849</td> <td>    0.034</td> <td>  -14.235</td> <td> 0.000</td> <td>   -0.552</td> <td>   -0.418</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Kylie Anne YACOPETTI]</th>                          <td>   -0.7392</td> <td>    0.038</td> <td>  -19.434</td> <td> 0.000</td> <td>   -0.814</td> <td>   -0.665</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Laimute KRAUZIENE]</th>                             <td>   -0.3206</td> <td>    0.029</td> <td>  -11.106</td> <td> 0.000</td> <td>   -0.377</td> <td>   -0.264</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Leanna CARON]</th>                                  <td>   -0.5447</td> <td>    0.027</td> <td>  -20.460</td> <td> 0.000</td> <td>   -0.597</td> <td>   -0.493</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Lenka BOHUNICKA]</th>                               <td>   -0.0378</td> <td>    0.040</td> <td>   -0.955</td> <td> 0.340</td> <td>   -0.115</td> <td>    0.040</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Leo  LENKOLA]</th>                                  <td>   -0.3029</td> <td>    0.037</td> <td>   -8.200</td> <td> 0.000</td> <td>   -0.375</td> <td>   -0.231</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Leslie KEEN]</th>                                   <td>   -0.4973</td> <td>    0.030</td> <td>  -16.502</td> <td> 0.000</td> <td>   -0.556</td> <td>   -0.438</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Lisa JELINEK]</th>                                  <td>   -0.5929</td> <td>    0.031</td> <td>  -18.928</td> <td> 0.000</td> <td>   -0.654</td> <td>   -0.531</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Lise ROSTO JENSEN]</th>                             <td>   -0.3164</td> <td>    0.042</td> <td>   -7.517</td> <td> 0.000</td> <td>   -0.399</td> <td>   -0.234</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Lolita LABUNSKAIYA]</th>                            <td>   -0.3041</td> <td>    0.028</td> <td>  -10.685</td> <td> 0.000</td> <td>   -0.360</td> <td>   -0.248</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Lone AMSTRUP LINNEMANN]</th>                        <td>   -0.5495</td> <td>    0.042</td> <td>  -13.065</td> <td> 0.000</td> <td>   -0.632</td> <td>   -0.467</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Lone VILLEFRANCE]</th>                              <td>   -0.5702</td> <td>    0.038</td> <td>  -14.860</td> <td> 0.000</td> <td>   -0.645</td> <td>   -0.495</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Lorrie PARKER]</th>                                 <td>   -0.2709</td> <td>    0.026</td> <td>  -10.568</td> <td> 0.000</td> <td>   -0.321</td> <td>   -0.221</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Ludmila MIKHAILOVSKAYA]</th>                        <td>   -0.2774</td> <td>    0.037</td> <td>   -7.486</td> <td> 0.000</td> <td>   -0.350</td> <td>   -0.205</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Lynne DEY]</th>                                     <td>   -0.5650</td> <td>    0.029</td> <td>  -19.227</td> <td> 0.000</td> <td>   -0.623</td> <td>   -0.507</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Magdalena RUSIECKA]</th>                            <td>   -0.3948</td> <td>    0.036</td> <td>  -11.062</td> <td> 0.000</td> <td>   -0.465</td> <td>   -0.325</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Maira ABASOVA]</th>                                 <td>   -0.4346</td> <td>    0.025</td> <td>  -17.253</td> <td> 0.000</td> <td>   -0.484</td> <td>   -0.385</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Makoto KANO]</th>                                   <td>   -0.8779</td> <td>    0.049</td> <td>  -17.842</td> <td> 0.000</td> <td>   -0.974</td> <td>   -0.781</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Malgorzata SOBKOW]</th>                             <td>   -0.4243</td> <td>    0.029</td> <td>  -14.648</td> <td> 0.000</td> <td>   -0.481</td> <td>   -0.367</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Mami MAEDA]</th>                                    <td>   -0.5201</td> <td>    0.041</td> <td>  -12.705</td> <td> 0.000</td> <td>   -0.600</td> <td>   -0.440</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Marco BUTTARELLI]</th>                              <td>   -0.5067</td> <td>    0.036</td> <td>  -14.210</td> <td> 0.000</td> <td>   -0.577</td> <td>   -0.437</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Margaret WORSFOLD]</th>                             <td>   -0.6029</td> <td>    0.032</td> <td>  -18.598</td> <td> 0.000</td> <td>   -0.666</td> <td>   -0.539</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Marjo KANKAANRANTA]</th>                            <td>   -0.6462</td> <td>    0.040</td> <td>  -16.092</td> <td> 0.000</td> <td>   -0.725</td> <td>   -0.567</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Mark STORTON]</th>                                  <td>   -0.6730</td> <td>    0.029</td> <td>  -23.178</td> <td> 0.000</td> <td>   -0.730</td> <td>   -0.616</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Marketa HORKLOVA]</th>                              <td>   -0.3889</td> <td>    0.051</td> <td>   -7.606</td> <td> 0.000</td> <td>   -0.489</td> <td>   -0.289</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Marta OLOZAGARRE]</th>                              <td>   -0.4410</td> <td>    0.026</td> <td>  -17.279</td> <td> 0.000</td> <td>   -0.491</td> <td>   -0.391</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Mary CHAPMAN]</th>                                  <td>   -0.9378</td> <td>    0.040</td> <td>  -23.356</td> <td> 0.000</td> <td>   -1.017</td> <td>   -0.859</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Masako KUBOTA]</th>                                 <td>   -0.3514</td> <td>    0.027</td> <td>  -13.229</td> <td> 0.000</td> <td>   -0.403</td> <td>   -0.299</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Massimo ORLANDINI]</th>                             <td>   -0.5499</td> <td>    0.027</td> <td>  -20.129</td> <td> 0.000</td> <td>   -0.603</td> <td>   -0.496</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Matjaz KRUSEC]</th>                                 <td>   -0.3017</td> <td>    0.047</td> <td>   -6.373</td> <td> 0.000</td> <td>   -0.394</td> <td>   -0.209</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Mayumi KATO]</th>                                   <td>   -0.5283</td> <td>    0.031</td> <td>  -17.189</td> <td> 0.000</td> <td>   -0.588</td> <td>   -0.468</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Melody Tan Tan YIP]</th>                            <td>   -0.4224</td> <td>    0.040</td> <td>  -10.692</td> <td> 0.000</td> <td>   -0.500</td> <td>   -0.345</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Merja KOSONEN]</th>                                 <td>   -0.4200</td> <td>    0.048</td> <td>   -8.822</td> <td> 0.000</td> <td>   -0.513</td> <td>   -0.327</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Michela CESARO]</th>                                <td>   -0.4923</td> <td>    0.036</td> <td>  -13.528</td> <td> 0.000</td> <td>   -0.564</td> <td>   -0.421</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Miroslav MISUREC]</th>                              <td>   -0.3821</td> <td>    0.032</td> <td>  -11.965</td> <td> 0.000</td> <td>   -0.445</td> <td>   -0.320</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Mona ADOLFSEN]</th>                                 <td>   -0.5922</td> <td>    0.035</td> <td>  -17.008</td> <td> 0.000</td> <td>   -0.660</td> <td>   -0.524</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Mona JONSSON]</th>                                  <td>   -0.3799</td> <td>    0.034</td> <td>  -11.188</td> <td> 0.000</td> <td>   -0.446</td> <td>   -0.313</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Na Young AHN]</th>                                  <td>   -0.3655</td> <td>    0.029</td> <td>  -12.439</td> <td> 0.000</td> <td>   -0.423</td> <td>   -0.308</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Nadezhda FIODOROVA]</th>                            <td>   -0.4623</td> <td>    0.032</td> <td>  -14.497</td> <td> 0.000</td> <td>   -0.525</td> <td>   -0.400</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Nadezhda PARETSKAIA]</th>                           <td>   -0.4631</td> <td>    0.038</td> <td>  -12.176</td> <td> 0.000</td> <td>   -0.538</td> <td>   -0.389</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Natalia KRUGLOVA]</th>                              <td>   -0.3990</td> <td>    0.047</td> <td>   -8.525</td> <td> 0.000</td> <td>   -0.491</td> <td>   -0.307</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Natan KFIR]</th>                                    <td>   -0.3911</td> <td>    0.048</td> <td>   -8.216</td> <td> 0.000</td> <td>   -0.484</td> <td>   -0.298</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Neil GARRARD]</th>                                  <td>   -0.7325</td> <td>    0.031</td> <td>  -23.463</td> <td> 0.000</td> <td>   -0.794</td> <td>   -0.671</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Nicholas RUSSELL]</th>                              <td>   -0.4280</td> <td>    0.031</td> <td>  -13.974</td> <td> 0.000</td> <td>   -0.488</td> <td>   -0.368</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Nicole LEBLANC-RICHARD]</th>                        <td>   -0.4706</td> <td>    0.027</td> <td>  -17.370</td> <td> 0.000</td> <td>   -0.524</td> <td>   -0.417</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Nobuhiko YOSHIOKA]</th>                             <td>   -0.3839</td> <td>    0.028</td> <td>  -13.733</td> <td> 0.000</td> <td>   -0.439</td> <td>   -0.329</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Olga KOZHEMIAKINA]</th>                             <td>   -0.4722</td> <td>    0.025</td> <td>  -18.821</td> <td> 0.000</td> <td>   -0.521</td> <td>   -0.423</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Olga KOZHEMYAKINA]</th>                             <td>   -0.4532</td> <td>    0.036</td> <td>  -12.666</td> <td> 0.000</td> <td>   -0.523</td> <td>   -0.383</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Osman SIRVAN]</th>                                  <td>   -0.4408</td> <td>    0.035</td> <td>  -12.459</td> <td> 0.000</td> <td>   -0.510</td> <td>   -0.371</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Paolo PIZZOCARI]</th>                               <td>   -0.4107</td> <td>    0.028</td> <td>  -14.673</td> <td> 0.000</td> <td>   -0.466</td> <td>   -0.356</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Patricia MORITZ]</th>                               <td>   -0.1287</td> <td>    0.039</td> <td>   -3.315</td> <td> 0.001</td> <td>   -0.205</td> <td>   -0.053</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Peggy GRAHAM]</th>                                  <td>   -0.4573</td> <td>    0.030</td> <td>  -15.243</td> <td> 0.000</td> <td>   -0.516</td> <td>   -0.399</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Pekka LESKINEN]</th>                                <td>   -0.6490</td> <td>    0.040</td> <td>  -16.074</td> <td> 0.000</td> <td>   -0.728</td> <td>   -0.570</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Peter RANKIN]</th>                                  <td>   -1.1853</td> <td>    0.038</td> <td>  -30.890</td> <td> 0.000</td> <td>   -1.261</td> <td>   -1.110</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Philippe MERIGUET]</th>                             <td>   -0.5265</td> <td>    0.029</td> <td>  -18.424</td> <td> 0.000</td> <td>   -0.582</td> <td>   -0.470</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Prisca BINZ-MOSER]</th>                             <td>   -0.2792</td> <td>    0.059</td> <td>   -4.705</td> <td> 0.000</td> <td>   -0.396</td> <td>   -0.163</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Raia BISSEROVA-BAKALOVA]</th>                       <td>   -0.3931</td> <td>    0.035</td> <td>  -11.202</td> <td> 0.000</td> <td>   -0.462</td> <td>   -0.324</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Reaghan FAWCETT]</th>                               <td>   -0.4593</td> <td>    0.032</td> <td>  -14.490</td> <td> 0.000</td> <td>   -0.521</td> <td>   -0.397</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Rebecca ANDREW]</th>                                <td>   -0.3605</td> <td>    0.052</td> <td>   -6.971</td> <td> 0.000</td> <td>   -0.462</td> <td>   -0.259</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Richard DALLEY]</th>                                <td>   -0.4614</td> <td>    0.032</td> <td>  -14.480</td> <td> 0.000</td> <td>   -0.524</td> <td>   -0.399</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Richard GRAINGE]</th>                               <td>   -0.8680</td> <td>    0.041</td> <td>  -21.293</td> <td> 0.000</td> <td>   -0.948</td> <td>   -0.788</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Richard KOSINA]</th>                                <td>   -0.4239</td> <td>    0.027</td> <td>  -15.870</td> <td> 0.000</td> <td>   -0.476</td> <td>   -0.372</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Robert ROSENBLUTH]</th>                             <td>   -0.7574</td> <td>    0.038</td> <td>  -19.759</td> <td> 0.000</td> <td>   -0.833</td> <td>   -0.682</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Roberts KRUTKRAMELIS]</th>                          <td>   -0.3589</td> <td>    0.051</td> <td>   -7.011</td> <td> 0.000</td> <td>   -0.459</td> <td>   -0.259</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Roger GLENN]</th>                                   <td>   -0.6298</td> <td>    0.030</td> <td>  -21.053</td> <td> 0.000</td> <td>   -0.688</td> <td>   -0.571</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Roland MAEDER]</th>                                 <td>   -0.0268</td> <td>    0.037</td> <td>   -0.723</td> <td> 0.470</td> <td>   -0.099</td> <td>    0.046</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Rossella CECCATTINI]</th>                           <td>   -0.5353</td> <td>    0.051</td> <td>  -10.400</td> <td> 0.000</td> <td>   -0.636</td> <td>   -0.434</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Saioa SANCHO]</th>                                  <td>   -0.5681</td> <td>    0.040</td> <td>  -14.121</td> <td> 0.000</td> <td>   -0.647</td> <td>   -0.489</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Sakae YAMAMOTO]</th>                                <td>   -0.4543</td> <td>    0.028</td> <td>  -16.256</td> <td> 0.000</td> <td>   -0.509</td> <td>   -0.400</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Sally REHORICK]</th>                                <td>   -0.3270</td> <td>    0.035</td> <td>   -9.326</td> <td> 0.000</td> <td>   -0.396</td> <td>   -0.258</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Salome CHIGOGIDZE]</th>                             <td>   -0.2679</td> <td>    0.029</td> <td>   -9.110</td> <td> 0.000</td> <td>   -0.325</td> <td>   -0.210</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Samuel AUXIER]</th>                                 <td>   -0.6002</td> <td>    0.035</td> <td>  -17.340</td> <td> 0.000</td> <td>   -0.668</td> <td>   -0.532</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Sandra WILLIAMSON-LEADLEY]</th>                     <td>   -0.4062</td> <td>    0.029</td> <td>  -13.924</td> <td> 0.000</td> <td>   -0.463</td> <td>   -0.349</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Saodat NUMANOVA]</th>                               <td>   -0.3143</td> <td>    0.024</td> <td>  -13.061</td> <td> 0.000</td> <td>   -0.361</td> <td>   -0.267</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Sasha MARTINEZ]</th>                                <td>   -0.4715</td> <td>    0.028</td> <td>  -16.934</td> <td> 0.000</td> <td>   -0.526</td> <td>   -0.417</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Senem AHISKAL]</th>                                 <td>   -0.6111</td> <td>    0.034</td> <td>  -18.088</td> <td> 0.000</td> <td>   -0.677</td> <td>   -0.545</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Sharon ROGERS]</th>                                 <td>   -0.4264</td> <td>    0.027</td> <td>  -15.995</td> <td> 0.000</td> <td>   -0.479</td> <td>   -0.374</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Shizuko UGAKI]</th>                                 <td>   -0.5872</td> <td>    0.028</td> <td>  -20.715</td> <td> 0.000</td> <td>   -0.643</td> <td>   -0.532</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Simona SPALLUTO]</th>                               <td>   -0.6313</td> <td>    0.051</td> <td>  -12.278</td> <td> 0.000</td> <td>   -0.732</td> <td>   -0.531</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Sissy KRICK]</th>                                   <td>   -0.5015</td> <td>    0.045</td> <td>  -11.189</td> <td> 0.000</td> <td>   -0.589</td> <td>   -0.414</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.So-Young AN]</th>                                   <td>   -0.5620</td> <td>    0.027</td> <td>  -20.882</td> <td> 0.000</td> <td>   -0.615</td> <td>   -0.509</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Stanislava SMIDOVA]</th>                            <td>   -0.3823</td> <td>    0.040</td> <td>   -9.644</td> <td> 0.000</td> <td>   -0.460</td> <td>   -0.305</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Steve WINKLER]</th>                                 <td>   -0.5077</td> <td>    0.035</td> <td>  -14.566</td> <td> 0.000</td> <td>   -0.576</td> <td>   -0.439</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Sung-Hee KOH]</th>                                  <td>   -0.3355</td> <td>    0.029</td> <td>  -11.706</td> <td> 0.000</td> <td>   -0.392</td> <td>   -0.279</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Susan PETRICEVIC]</th>                              <td>   -0.6379</td> <td>    0.037</td> <td>  -17.325</td> <td> 0.000</td> <td>   -0.710</td> <td>   -0.566</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Sviatoslav BABENKO]</th>                            <td>   -0.3897</td> <td>    0.029</td> <td>  -13.371</td> <td> 0.000</td> <td>   -0.447</td> <td>   -0.333</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Sylvain GUIBORD]</th>                               <td>   -0.5739</td> <td>    0.037</td> <td>  -15.315</td> <td> 0.000</td> <td>   -0.647</td> <td>   -0.500</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Szilard TOTH]</th>                                  <td>   -0.2014</td> <td>    0.051</td> <td>   -3.934</td> <td> 0.000</td> <td>   -0.302</td> <td>   -0.101</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Tae Ri LEE]</th>                                    <td>   -0.3267</td> <td>    0.037</td> <td>   -8.861</td> <td> 0.000</td> <td>   -0.399</td> <td>   -0.254</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Taffy HOLLIDAY]</th>                                <td>   -1.0455</td> <td>    0.056</td> <td>  -18.629</td> <td> 0.000</td> <td>   -1.155</td> <td>   -0.935</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Tamie K. CAMPBELL]</th>                             <td>   -0.5983</td> <td>    0.033</td> <td>  -18.241</td> <td> 0.000</td> <td>   -0.663</td> <td>   -0.534</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Tanay OZKAN]</th>                                   <td>   -0.3856</td> <td>    0.026</td> <td>  -15.009</td> <td> 0.000</td> <td>   -0.436</td> <td>   -0.335</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Tarja RISTANEN]</th>                                <td>   -0.2793</td> <td>    0.035</td> <td>   -7.895</td> <td> 0.000</td> <td>   -0.349</td> <td>   -0.210</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Tatiana SHARKINA]</th>                              <td>   -0.2509</td> <td>    0.037</td> <td>   -6.809</td> <td> 0.000</td> <td>   -0.323</td> <td>   -0.179</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Teri SEDEJ]</th>                                    <td>   -0.5273</td> <td>    0.048</td> <td>  -11.073</td> <td> 0.000</td> <td>   -0.621</td> <td>   -0.434</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Tetsuo ABE]</th>                                    <td>   -0.7007</td> <td>    0.049</td> <td>  -14.221</td> <td> 0.000</td> <td>   -0.797</td> <td>   -0.604</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Thomas BIEGLER]</th>                                <td>   -0.3580</td> <td>    0.030</td> <td>  -11.896</td> <td> 0.000</td> <td>   -0.417</td> <td>   -0.299</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Tianyi ZHANG]</th>                                  <td>   -0.5157</td> <td>    0.028</td> <td>  -18.403</td> <td> 0.000</td> <td>   -0.571</td> <td>   -0.461</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Tomie FUKUDOME]</th>                                <td>   -0.4658</td> <td>    0.048</td> <td>   -9.701</td> <td> 0.000</td> <td>   -0.560</td> <td>   -0.372</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Tomiko YAMADA]</th>                                 <td>   -0.4342</td> <td>    0.042</td> <td>  -10.439</td> <td> 0.000</td> <td>   -0.516</td> <td>   -0.353</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Ulla FAIG]</th>                                     <td>   -0.5704</td> <td>    0.028</td> <td>  -20.549</td> <td> 0.000</td> <td>   -0.625</td> <td>   -0.516</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Vera TAUCHMANOVA]</th>                              <td>   -0.5823</td> <td>    0.029</td> <td>  -20.035</td> <td> 0.000</td> <td>   -0.639</td> <td>   -0.525</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Veronique VERRUE]</th>                              <td>   -0.2985</td> <td>    0.033</td> <td>   -9.158</td> <td> 0.000</td> <td>   -0.362</td> <td>   -0.235</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Vessela POPOVA]</th>                                <td>   -0.3231</td> <td>    0.048</td> <td>   -6.785</td> <td> 0.000</td> <td>   -0.416</td> <td>   -0.230</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Virpi KUNNAS-HELMINEN]</th>                         <td>   -0.5382</td> <td>    0.037</td> <td>  -14.569</td> <td> 0.000</td> <td>   -0.611</td> <td>   -0.466</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Vladimir CUCHRAN]</th>                              <td>   -0.5096</td> <td>    0.040</td> <td>  -12.882</td> <td> 0.000</td> <td>   -0.587</td> <td>   -0.432</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Vladislav PETUKHOV]</th>                            <td>   -0.2410</td> <td>    0.051</td> <td>   -4.699</td> <td> 0.000</td> <td>   -0.342</td> <td>   -0.140</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Walter TOIGO]</th>                                  <td>   -0.4929</td> <td>    0.028</td> <td>  -17.624</td> <td> 0.000</td> <td>   -0.548</td> <td>   -0.438</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Walter ZUCCARO]</th>                                <td>   -0.4965</td> <td>    0.036</td> <td>  -13.980</td> <td> 0.000</td> <td>   -0.566</td> <td>   -0.427</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Wei SHI]</th>                                       <td>   -0.3394</td> <td>    0.036</td> <td>   -9.527</td> <td> 0.000</td> <td>   -0.409</td> <td>   -0.270</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Weiguang CHEN]</th>                                 <td>   -0.4143</td> <td>    0.025</td> <td>  -16.881</td> <td> 0.000</td> <td>   -0.462</td> <td>   -0.366</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Wendy ENZMANN]</th>                                 <td>   -0.4080</td> <td>    0.030</td> <td>  -13.623</td> <td> 0.000</td> <td>   -0.467</td> <td>   -0.349</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Xixia LIU]</th>                                     <td>   -0.1632</td> <td>    0.049</td> <td>   -3.313</td> <td> 0.001</td> <td>   -0.260</td> <td>   -0.067</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Yoko KUNO]</th>                                     <td>   -0.3658</td> <td>    0.040</td> <td>   -9.182</td> <td> 0.000</td> <td>   -0.444</td> <td>   -0.288</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Yu WANG]</th>                                       <td>   -0.4529</td> <td>    0.057</td> <td>   -7.992</td> <td> 0.000</td> <td>   -0.564</td> <td>   -0.342</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Yuko OGAWA]</th>                                    <td>   -0.4881</td> <td>    0.038</td> <td>  -12.891</td> <td> 0.000</td> <td>   -0.562</td> <td>   -0.414</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Yuri GUSKOV]</th>                                   <td>   -0.2634</td> <td>    0.025</td> <td>  -10.501</td> <td> 0.000</td> <td>   -0.313</td> <td>   -0.214</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Yuriy GUSKOV]</th>                                  <td>   -0.2893</td> <td>    0.036</td> <td>   -8.089</td> <td> 0.000</td> <td>   -0.359</td> <td>   -0.219</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Zanna KULIK]</th>                                   <td>   -0.4221</td> <td>    0.029</td> <td>  -14.395</td> <td> 0.000</td> <td>   -0.480</td> <td>   -0.365</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Zsuzsanna VIKARNE-HOMOLYA]</th>                     <td>   -0.2805</td> <td>    0.040</td> <td>   -6.949</td> <td> 0.000</td> <td>   -0.360</td> <td>   -0.201</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>judge[T.Zuzana PLESNIKOVA]</th>                             <td>   -0.4032</td> <td>    0.042</td> <td>   -9.651</td> <td> 0.000</td> <td>   -0.485</td> <td>   -0.321</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>same_country</th>                                           <td>    0.2787</td> <td>    0.005</td> <td>   50.757</td> <td> 0.000</td> <td>    0.268</td> <td>    0.290</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>is_gpf</th>                                                 <td>    0.1228</td> <td>    0.009</td> <td>   13.816</td> <td> 0.000</td> <td>    0.105</td> <td>    0.140</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>is_ecfc</th>                                                <td>    0.1062</td> <td>    0.006</td> <td>   19.130</td> <td> 0.000</td> <td>    0.095</td> <td>    0.117</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>is_wc</th>                                                  <td>    0.0909</td> <td>    0.007</td> <td>   12.417</td> <td> 0.000</td> <td>    0.077</td> <td>    0.105</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>is_owg</th>                                                 <td>    0.1720</td> <td>    0.007</td> <td>   23.987</td> <td> 0.000</td> <td>    0.158</td> <td>    0.186</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>season</th>                                                 <td>    0.1959</td> <td>    0.004</td> <td>   44.469</td> <td> 0.000</td> <td>    0.187</td> <td>    0.205</td>\n",
       "</tr>\n",
       "</table>\n",
       "<table class=\"simpletable\">\n",
       "<tr>\n",
       "  <th>Omnibus:</th>       <td>2496.477</td> <th>  Durbin-Watson:     </th> <td>   1.384</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Prob(Omnibus):</th>  <td> 0.000</td>  <th>  Jarque-Bera (JB):  </th> <td>4423.945</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Skew:</th>           <td>-0.216</td>  <th>  Prob(JB):          </th> <td>    0.00</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Kurtosis:</th>       <td> 3.949</td>  <th>  Cond. No.          </th> <td>1.23e+07</td>\n",
       "</tr>\n",
       "</table>"
      ],
      "text/plain": [
       "<class 'statsmodels.iolib.summary.Summary'>\n",
       "\"\"\"\n",
       "                            OLS Regression Results                            \n",
       "==============================================================================\n",
       "Dep. Variable:            judge_score   R-squared:                       0.874\n",
       "Model:                            OLS   Adj. R-squared:                  0.873\n",
       "Method:                 Least Squares   F-statistic:                     1138.\n",
       "Date:                Sun, 25 Mar 2018   Prob (F-statistic):               0.00\n",
       "Time:                        15:13:10   Log-Likelihood:                -61685.\n",
       "No. Observations:               97651   AIC:                         1.246e+05\n",
       "Df Residuals:                   97059   BIC:                         1.302e+05\n",
       "Df Model:                         591                                         \n",
       "Covariance Type:            nonrobust                                         \n",
       "==========================================================================================================================\n",
       "                                                             coef    std err          t      P>|t|      [0.025      0.975]\n",
       "--------------------------------------------------------------------------------------------------------------------------\n",
       "Intercept                                               -389.3208      8.891    -43.787      0.000    -406.748    -371.894\n",
       "skater[T.Adam RIPPON]                                      3.0780      0.052     59.051      0.000       2.976       3.180\n",
       "skater[T.Adel TANKOVA / Ronald ZILBERBERG]                -0.3049      0.063     -4.844      0.000      -0.428      -0.182\n",
       "skater[T.Adele MORRISON / Demid ROKACHEV]                 -1.0734      0.069    -15.564      0.000      -1.209      -0.938\n",
       "skater[T.Aimee BUCHANAN]                                  -1.0007      0.069    -14.508      0.000      -1.136      -0.866\n",
       "skater[T.Aiza MAMBEKOVA]                                  -0.1369      0.063     -2.174      0.030      -0.260      -0.013\n",
       "skater[T.Alaine CHARTRAND]                                 1.6369      0.053     31.071      0.000       1.534       1.740\n",
       "skater[T.Alena LEONOVA]                                    1.8137      0.056     32.192      0.000       1.703       1.924\n",
       "skater[T.Alexa SCIMECA KNIERIM / Chris KNIERIM]            2.2647      0.053     42.392      0.000       2.160       2.369\n",
       "skater[T.Alexander BOROVOJ]                               -0.3820      0.084     -4.534      0.000      -0.547      -0.217\n",
       "skater[T.Alexander MAJOROV]                                1.5490      0.053     29.012      0.000       1.444       1.654\n",
       "skater[T.Alexander MASZLJANKO]                            -0.3509      0.084     -4.156      0.000      -0.516      -0.185\n",
       "skater[T.Alexander PETROV]                                 1.8097      0.056     32.136      0.000       1.699       1.920\n",
       "skater[T.Alexander SAMARIN]                                2.1982      0.054     40.339      0.000       2.091       2.305\n",
       "skater[T.Alexandra NAZAROVA / Maxim NIKITIN]               1.9995      0.053     37.607      0.000       1.895       2.104\n",
       "skater[T.Alexandra PAUL / Mitchell ISLAM]                  2.0165      0.069     29.147      0.000       1.881       2.152\n",
       "skater[T.Alexandra STEPANOVA / Ivan BUKIN]                 3.1843      0.052     60.900      0.000       3.082       3.287\n",
       "skater[T.Alexei BYCHENKO]                                  2.3831      0.052     46.115      0.000       2.282       2.484\n",
       "skater[T.Alexia PAGANINI]                                  0.5134      0.060      8.594      0.000       0.396       0.630\n",
       "skater[T.Alicia PINEAULT]                                  0.8022      0.069     11.610      0.000       0.667       0.938\n",
       "skater[T.Alina ZAGITOVA]                                   3.1250      0.053     58.539      0.000       3.020       3.230\n",
       "skater[T.Alisa AGAFONOVA / Alper UCAR]                     1.6821      0.052     32.444      0.000       1.580       1.784\n",
       "skater[T.Alisa EFIMOVA / Alexander KOROVIN]                1.3327      0.069     19.317      0.000       1.198       1.468\n",
       "skater[T.Aljona SAVCHENKO / Bruno MASSOT]                  3.6631      0.052     70.753      0.000       3.562       3.765\n",
       "skater[T.Alla LOBODA / Pavel DROZD]                        1.9933      0.060     33.348      0.000       1.876       2.110\n",
       "skater[T.Amber GLENN]                                      1.2571      0.069     18.211      0.000       1.122       1.392\n",
       "skater[T.Amy LIN]                                          0.4206      0.058      7.286      0.000       0.307       0.534\n",
       "skater[T.Anastasia CANNUSCIO / Colin MCMANUS]              1.4961      0.060     24.935      0.000       1.379       1.614\n",
       "skater[T.Anastasia GALUSTYAN]                              1.0992      0.053     20.577      0.000       0.995       1.204\n",
       "skater[T.Anastasia GALYETA / Avidan BROWN]                 0.1702      0.084      2.023      0.043       0.005       0.335\n",
       "skater[T.Andrei LAZUKIN]                                   1.5107      0.069     21.961      0.000       1.376       1.646\n",
       "skater[T.Andrew DODDS]                                     0.6696      0.059     11.325      0.000       0.554       0.785\n",
       "skater[T.Angela WANG]                                      1.4217      0.069     20.574      0.000       1.286       1.557\n",
       "skater[T.Angelina KUCHVALSKA]                              0.9857      0.055     18.057      0.000       0.879       1.093\n",
       "skater[T.Angelique ABACHKINA / Louis THAURON]              1.6532      0.056     29.284      0.000       1.543       1.764\n",
       "skater[T.Anita OSTLUND]                                    0.3472      0.063      5.514      0.000       0.224       0.471\n",
       "skater[T.Anna CAPPELLINI / Luca LANOTTE]                   3.5340      0.052     68.534      0.000       3.433       3.635\n",
       "skater[T.Anna DUSKOVA / Martin BIDAR]                      1.5040      0.056     26.668      0.000       1.393       1.615\n",
       "skater[T.Anna KHNYCHENKOVA]                               -0.0638      0.056     -1.132      0.258      -0.174       0.047\n",
       "skater[T.Anna POGORILAYA]                                  2.9946      0.053     56.807      0.000       2.891       3.098\n",
       "skater[T.Anna YANOVSKAYA / Adam LUKACS]                    1.4192      0.069     20.547      0.000       1.284       1.555\n",
       "skater[T.Anne Line GJERSEM]                               -0.0428      0.058     -0.740      0.459      -0.156       0.071\n",
       "skater[T.Annika HOCKE / Ruben BLOMMAERT]                   1.1400      0.060     19.075      0.000       1.023       1.257\n",
       "skater[T.Anton KARPUK]                                    -0.4741      0.084     -5.628      0.000      -0.639      -0.309\n",
       "skater[T.Antonina DUBININA]                               -1.0757      0.069    -15.595      0.000      -1.211      -0.941\n",
       "skater[T.Arina CHERNIAVSKAIA / Evgeni KRASNOPOLSKI]       -0.3753      0.069     -5.426      0.000      -0.511      -0.240\n",
       "skater[T.Artur DMITRIEV]                                   1.6958      0.060     28.405      0.000       1.579       1.813\n",
       "skater[T.Ashley CAIN / Timothy LEDUC]                      1.5174      0.056     26.903      0.000       1.407       1.628\n",
       "skater[T.Ashley WAGNER]                                    3.0469      0.054     56.445      0.000       2.941       3.153\n",
       "skater[T.Aurelija IPOLITO / Malcolm JONES]                -1.6060      0.084    -19.060      0.000      -1.771      -1.441\n",
       "skater[T.Betina POPOVA / Sergey MOZGOV]                    2.1036      0.069     30.343      0.000       1.968       2.239\n",
       "skater[T.Birce ATABEY]                                    -1.2021      0.084    -14.259      0.000      -1.367      -1.037\n",
       "skater[T.Boyang JIN]                                       2.5830      0.051     50.164      0.000       2.482       2.684\n",
       "skater[T.Bradie TENNELL]                                   1.9816      0.060     33.182      0.000       1.865       2.099\n",
       "skater[T.Brendan KERRY]                                    1.6560      0.052     31.924      0.000       1.554       1.758\n",
       "skater[T.Brittany JONES / Joshua REAGAN]                   1.1058      0.069     15.982      0.000       0.970       1.241\n",
       "skater[T.Brooklee HAN]                                     0.8232      0.060     13.761      0.000       0.706       0.940\n",
       "skater[T.Burak DEMIRBOGA]                                 -0.1943      0.069     -2.811      0.005      -0.330      -0.059\n",
       "skater[T.Camille RUEST / Andrew WOLFE]                     1.2365      0.060     20.624      0.000       1.119       1.354\n",
       "skater[T.Carolane SOUCISSE / Shane FIRUS]                  1.9611      0.060     32.901      0.000       1.844       2.078\n",
       "skater[T.Carolina KOSTNER]                                 3.6333      0.052     69.698      0.000       3.531       3.735\n",
       "skater[T.Cecilia TORN / Jussiville PARTANEN]               1.2442      0.055     22.438      0.000       1.136       1.353\n",
       "skater[T.Chafik BESSEGHIER]                                1.6583      0.053     31.291      0.000       1.554       1.762\n",
       "skater[T.Chantelle KERRY / Andrew DODDS]                  -0.4685      0.069     -6.798      0.000      -0.604      -0.333\n",
       "skater[T.Charlene GUIGNARD / Marco FABBRI]                 2.8403      0.052     54.765      0.000       2.739       2.942\n",
       "skater[T.Cheng PENG / Yang JIN]                            2.2465      0.052     42.899      0.000       2.144       2.349\n",
       "skater[T.Chih-I TSAO]                                      0.4521      0.057      7.909      0.000       0.340       0.564\n",
       "skater[T.Chloe ING]                                        0.0861      0.060      1.439      0.150      -0.031       0.203\n",
       "skater[T.Colette Coco KAMINSKI]                           -0.9378      0.084    -11.124      0.000      -1.103      -0.773\n",
       "skater[T.Conor STAKELUM]                                  -1.1231      0.084    -13.302      0.000      -1.289      -0.958\n",
       "skater[T.Cortney MANSOUROVA / Michal CESKA]                0.9451      0.060     15.804      0.000       0.828       1.062\n",
       "skater[T.Courtney HICKS]                                   1.7839      0.056     31.640      0.000       1.673       1.894\n",
       "skater[T.Dabin CHOI]                                       1.4395      0.052     27.612      0.000       1.337       1.542\n",
       "skater[T.Daniel Albert NAURITS]                            0.4007      0.060      6.692      0.000       0.283       0.518\n",
       "skater[T.Daniel SAMOHIN]                                   1.9555      0.053     36.922      0.000       1.852       2.059\n",
       "skater[T.Daria BEKLEMISHEVA / Mark MAGYAR]                 0.0191      0.084      0.227      0.820      -0.146       0.184\n",
       "skater[T.Darya POPOVA / Volodymyr BYELIKOV]               -0.1814      0.084     -2.153      0.031      -0.347      -0.016\n",
       "skater[T.Dasa GRM]                                         0.0869      0.060      1.454      0.146      -0.030       0.204\n",
       "skater[T.Davide LEWTON BRAIN]                             -0.2620      0.084     -3.103      0.002      -0.427      -0.096\n",
       "skater[T.Deanna STELLATO / Nathan BARTHOLOMAY]             1.1980      0.060     19.997      0.000       1.081       1.315\n",
       "skater[T.Denis TEN]                                        2.6559      0.053     50.393      0.000       2.553       2.759\n",
       "skater[T.Deniss VASILJEVS]                                 2.2489      0.052     43.507      0.000       2.148       2.350\n",
       "skater[T.Diana NIKITINA]                                   0.0661      0.069      0.961      0.337      -0.069       0.201\n",
       "skater[T.Dmitri ALIEV]                                     2.5830      0.054     47.440      0.000       2.476       2.690\n",
       "skater[T.Donovan CARRILLO]                                 0.0060      0.068      0.088      0.930      -0.127       0.139\n",
       "skater[T.Ekaterina ALEXANDROVSKAYA / Harley WINDSOR]       0.8560      0.055     15.464      0.000       0.748       0.965\n",
       "skater[T.Ekaterina BOBROVA / Dmitri SOLOVIEV]              3.6450      0.052     70.695      0.000       3.544       3.746\n",
       "skater[T.Elena ILINYKH / Ruslan ZHIGANSHIN]                3.1017      0.060     51.799      0.000       2.984       3.219\n",
       "skater[T.Elena RADIONOVA]                                  2.9322      0.053     54.841      0.000       2.827       3.037\n",
       "skater[T.Eliska BREZINOVA]                                 0.0685      0.069      0.991      0.322      -0.067       0.204\n",
       "skater[T.Elizabet TURSYNBAEVA]                             1.9659      0.052     38.034      0.000       1.865       2.067\n",
       "skater[T.Elizaveta TUKTAMYSHEVA]                           2.1956      0.055     40.256      0.000       2.089       2.303\n",
       "skater[T.Elladj BALDE]                                     2.0661      0.056     36.910      0.000       1.956       2.176\n",
       "skater[T.Elliana POGREBINSKY / Alex BENOIT]                1.8627      0.055     34.079      0.000       1.756       1.970\n",
       "skater[T.Elzbieta GABRYSZAK]                              -0.9247      0.084    -10.957      0.000      -1.090      -0.759\n",
       "skater[T.Elzbieta KROPA]                                  -0.7373      0.063    -11.694      0.000      -0.861      -0.614\n",
       "skater[T.Emi HIRAI / Marien DE LA ASUNCION]                0.3980      0.060      6.653      0.000       0.281       0.515\n",
       "skater[T.Emilia SIMONEN / Matthew PENASSE]                -0.4364      0.084     -5.181      0.000      -0.602      -0.271\n",
       "skater[T.Emmi PELTONEN]                                    1.1585      0.055     20.930      0.000       1.050       1.267\n",
       "skater[T.Engin Ali ARTAN]                                 -0.9296      0.084    -11.036      0.000      -1.095      -0.765\n",
       "skater[T.Evgenia MEDVEDEVA]                                3.8065      0.051     74.046      0.000       3.706       3.907\n",
       "skater[T.Evgenia TARASOVA / Vladimir MOROZOV]              3.3913      0.051     66.247      0.000       3.291       3.492\n",
       "skater[T.Felipe MONTOYA]                                   0.6466      0.063     10.274      0.000       0.523       0.770\n",
       "skater[T.Fruzsina MEDGYESI]                               -0.2779      0.084     -3.293      0.001      -0.443      -0.113\n",
       "skater[T.Gabriella PAPADAKIS / Guillaume CIZERON]          4.0985      0.051     79.848      0.000       3.998       4.199\n",
       "skater[T.Gabrielle DALEMAN]                                2.6283      0.052     50.404      0.000       2.526       2.730\n",
       "skater[T.Geon Hyeong AN]                                   0.0750      0.068      1.102      0.270      -0.058       0.208\n",
       "skater[T.Giada RUSSO]                                      0.6028      0.063      9.573      0.000       0.479       0.726\n",
       "skater[T.Goda BUTKUTE / Nikita ERMOLAEV]                   0.1584      0.060      2.651      0.008       0.041       0.276\n",
       "skater[T.Gordei GORSHKOV]                                  1.7850      0.069     25.873      0.000       1.650       1.920\n",
       "skater[T.Gracie GOLD]                                      2.6124      0.060     43.691      0.000       2.495       2.730\n",
       "skater[T.Graham NEWBERRY]                                  0.6599      0.063     10.485      0.000       0.537       0.783\n",
       "skater[T.Grant HOCHSTEIN]                                  1.9453      0.052     37.120      0.000       1.843       2.048\n",
       "skater[T.Guoste DAMULEVICIUTE / Deividas KIZALA]          -0.1171      0.084     -1.390      0.165      -0.282       0.048\n",
       "skater[T.Haley SALES / Nikolas WAMSTEEKER]                 1.1065      0.069     16.056      0.000       0.971       1.242\n",
       "skater[T.Han YAN]                                          2.4549      0.052     47.308      0.000       2.353       2.557\n",
       "skater[T.Hanna JAKUCS / Daniel ILLES]                     -0.2158      0.084     -2.563      0.010      -0.381      -0.051\n",
       "skater[T.Hanul KIM]                                        0.9434      0.060     15.793      0.000       0.826       1.060\n",
       "skater[T.Harrison Jon-Yen WONG]                           -0.6078      0.068     -8.909      0.000      -0.741      -0.474\n",
       "skater[T.Harry Hau Yin LEE]                               -0.7772      0.068    -11.392      0.000      -0.911      -0.643\n",
       "skater[T.Haven DENNEY / Brandon FRAZIER]                   1.9890      0.053     37.505      0.000       1.885       2.093\n",
       "skater[T.He ZHANG]                                         0.4704      0.059      7.956      0.000       0.354       0.586\n",
       "skater[T.Helery HALVIN]                                    0.5130      0.063      8.140      0.000       0.389       0.637\n",
       "skater[T.Hiroaki SATO]                                     1.4507      0.069     21.015      0.000       1.315       1.586\n",
       "skater[T.Hojung LEE / Richard Kang In KAM]                 0.1103      0.069      1.599      0.110      -0.025       0.245\n",
       "skater[T.Hong CHEN / Yan ZHAO]                             0.5520      0.056      9.777      0.000       0.441       0.663\n",
       "skater[T.Hristina VASSILEVA]                              -1.5434      0.084    -18.307      0.000      -1.709      -1.378\n",
       "skater[T.Igor REZNICHENKO]                                 0.1441      0.060      2.413      0.016       0.027       0.261\n",
       "skater[T.Ioulia CHTCHETININA / Mikhail AKULOV]            -0.4670      0.069     -6.762      0.000      -0.602      -0.332\n",
       "skater[T.Ioulia CHTCHETININA / Noah SCHERER]              -0.5175      0.069     -7.516      0.000      -0.652      -0.383\n",
       "skater[T.Irakli MAYSURADZE]                                0.5085      0.069      7.355      0.000       0.373       0.644\n",
       "skater[T.Isabella TOBIAS / Ilia TKACHENKO]                 2.6665      0.055     48.755      0.000       2.559       2.774\n",
       "skater[T.Isadora WILLIAMS]                                 0.5950      0.063      9.462      0.000       0.472       0.718\n",
       "skater[T.Ivan PAVLOV]                                      0.9239      0.063     14.680      0.000       0.801       1.047\n",
       "skater[T.Ivan RIGHINI]                                     1.8650      0.060     31.245      0.000       1.748       1.982\n",
       "skater[T.Ivett TOTH]                                       0.9855      0.055     18.056      0.000       0.878       1.092\n",
       "skater[T.Jasmine TESSARI / Francesco FIORETTI]             0.5216      0.063      8.273      0.000       0.398       0.645\n",
       "skater[T.Jason BROWN]                                      3.3414      0.052     64.866      0.000       3.240       3.442\n",
       "skater[T.Javier FERNANDEZ]                                 3.8345      0.051     74.663      0.000       3.734       3.935\n",
       "skater[T.Javier RAYA]                                      1.0451      0.063     16.605      0.000       0.922       1.168\n",
       "skater[T.Jessica PFUND / Joshua SANTILLAN]                 1.0890      0.069     15.716      0.000       0.953       1.225\n",
       "skater[T.Jinseo KIM]                                       0.9919      0.063     15.821      0.000       0.869       1.115\n",
       "skater[T.Jiri BELOHRADSKY]                                 0.3087      0.063      4.894      0.000       0.185       0.432\n",
       "skater[T.Joanna SO]                                       -0.4335      0.069     -6.273      0.000      -0.569      -0.298\n",
       "skater[T.Jorik HENDRICKX]                                  2.3527      0.052     45.176      0.000       2.251       2.455\n",
       "skater[T.Joshi HELGESSON]                                  1.2113      0.055     21.877      0.000       1.103       1.320\n",
       "skater[T.Julia LIPNITSKAIA]                                1.9770      0.069     28.620      0.000       1.842       2.112\n",
       "skater[T.Julia SAUTER]                                    -0.3924      0.069     -5.689      0.000      -0.528      -0.257\n",
       "skater[T.Julian Zhi Jie YEE]                               1.0805      0.055     19.699      0.000       0.973       1.188\n",
       "skater[T.Julianne SEGUIN / Charlie BILODEAU]               2.3503      0.052     45.015      0.000       2.248       2.453\n",
       "skater[T.Jun Hwan CHA]                                     1.7609      0.069     25.505      0.000       1.626       1.896\n",
       "skater[T.June Hyoung LEE]                                  1.0016      0.059     16.939      0.000       0.886       1.117\n",
       "skater[T.Junhwan CHA]                                      2.2787      0.069     33.138      0.000       2.144       2.414\n",
       "skater[T.Justyna PLUTOWSKA / Jeremie FLEMIN]               0.3496      0.084      4.149      0.000       0.184       0.515\n",
       "skater[T.Kaetlyn OSMOND]                                   3.2379      0.051     62.976      0.000       3.137       3.339\n",
       "skater[T.Kai Xiang CHEW]                                  -0.7642      0.062    -12.236      0.000      -0.887      -0.642\n",
       "skater[T.Kailani CRAINE]                                   0.8587      0.053     16.078      0.000       0.754       0.963\n",
       "skater[T.Kaitlin HAWAYEK / Jean-Luc BAKER]                 2.5172      0.053     47.074      0.000       2.412       2.622\n",
       "skater[T.Kaitlyn WEAVER / Andrew POJE]                     3.5915      0.052     68.744      0.000       3.489       3.694\n",
       "skater[T.Kana MURAMOTO / Chris REED]                       1.9064      0.052     36.343      0.000       1.804       2.009\n",
       "skater[T.Kanako MURAKAMI]                                  1.4472      0.060     24.186      0.000       1.330       1.564\n",
       "skater[T.Kaori SAKAMOTO]                                   2.4954      0.055     45.782      0.000       2.389       2.602\n",
       "skater[T.Karen CHEN]                                       2.2224      0.052     42.607      0.000       2.120       2.325\n",
       "skater[T.Katerina BUNINA / German FROLOV]                 -0.8164      0.069    -11.850      0.000      -0.951      -0.681\n",
       "skater[T.Kavita LORENZ / Joti POLIZOAKIS]                  1.5845      0.055     29.009      0.000       1.477       1.692\n",
       "skater[T.Kazuki TOMONO]                                    1.9896      0.069     28.821      0.000       1.854       2.125\n",
       "skater[T.Keegan MESSING]                                   2.4138      0.056     42.902      0.000       2.304       2.524\n",
       "skater[T.Keiji TANAKA]                                     2.2202      0.052     42.788      0.000       2.118       2.322\n",
       "skater[T.Kerstin FRANK]                                    0.1715      0.063      2.721      0.007       0.048       0.295\n",
       "skater[T.Kevin AYMOZ]                                      1.5318      0.060     25.688      0.000       1.415       1.649\n",
       "skater[T.Kevin REYNOLDS]                                   1.9503      0.052     37.234      0.000       1.848       2.053\n",
       "skater[T.Kim CHEREMSKY]                                   -0.9747      0.084    -11.550      0.000      -1.140      -0.809\n",
       "skater[T.Kimberley HEW-LOW / Timothy MCKERNAN]            -1.0540      0.069    -15.282      0.000      -1.189      -0.919\n",
       "skater[T.Kirsten MOORE-TOWERS / Michael MARINARO]          2.1658      0.055     39.738      0.000       2.059       2.273\n",
       "skater[T.Kristina ASTAKHOVA / Alexei ROGONOV]              2.2531      0.054     42.102      0.000       2.148       2.358\n",
       "skater[T.Kristina SHKULETA-GROMOVA]                       -0.0779      0.084     -0.923      0.356      -0.243       0.087\n",
       "skater[T.Ksenia STOLBOVA / Fedor KLIMOV]                   3.3953      0.053     64.425      0.000       3.292       3.499\n",
       "skater[T.Kyarha VAN TIEL]                                 -0.9358      0.084    -11.089      0.000      -1.101      -0.770\n",
       "skater[T.Kyueun KIM / Alex Kang Chan KAM]                 -0.2687      0.063     -4.276      0.000      -0.392      -0.146\n",
       "skater[T.Lana PETRANOVIC / Antonio SOUZA-KORDEIRU]        -0.2109      0.058     -3.651      0.000      -0.324      -0.098\n",
       "skater[T.Larkyn AUSTMAN]                                   0.6502      0.063     10.335      0.000       0.527       0.774\n",
       "skater[T.Larry LOUPOLOVER]                                -0.6286      0.063     -9.996      0.000      -0.752      -0.505\n",
       "skater[T.Laura BARQUERO / Aritz MAESTU]                    0.0652      0.069      0.944      0.345      -0.070       0.201\n",
       "skater[T.Laurence FOURNIER BEAUDRY / Nikolaj SORENSEN]     2.2806      0.053     43.177      0.000       2.177       2.384\n",
       "skater[T.Laurine LECAVELIER]                               1.6103      0.053     30.589      0.000       1.507       1.714\n",
       "skater[T.Lea Johanna DASTICH]                              0.1018      0.069      1.474      0.141      -0.034       0.237\n",
       "skater[T.Leslie Man Cheuk IP]                             -0.6050      0.059    -10.231      0.000      -0.721      -0.489\n",
       "skater[T.Liam FIRUS]                                       2.0501      0.060     34.332      0.000       1.933       2.167\n",
       "skater[T.Lilah FEAR / Lewis GIBSON]                        0.9394      0.063     14.899      0.000       0.816       1.063\n",
       "skater[T.Linshu SONG / Zhuoming SUN]                       0.5223      0.056      9.258      0.000       0.412       0.633\n",
       "skater[T.Liubov ILYUSHECHKINA / Dylan MOSCOVITCH]          2.4910      0.052     47.773      0.000       2.389       2.593\n",
       "skater[T.Loena HENDRICKX]                                  1.3056      0.055     23.922      0.000       1.199       1.413\n",
       "skater[T.Lola ESBRAT / Andrei NOVOSELOV]                   0.5748      0.055     10.396      0.000       0.466       0.683\n",
       "skater[T.Lorenza ALESSANDRINI / Pierre SOUQUET]            1.0088      0.058     17.445      0.000       0.895       1.122\n",
       "skater[T.Lorraine MCNAMARA / Quinn CARPENTER]              1.8539      0.060     31.016      0.000       1.737       1.971\n",
       "skater[T.Lucie MYSLIVECKOVA / Lukas CSOLLEY]               1.2257      0.056     21.704      0.000       1.115       1.336\n",
       "skater[T.Madison CHOCK / Evan BATES]                       3.5776      0.052     69.350      0.000       3.477       3.679\n",
       "skater[T.Madison HUBBELL / Zachary DONOHUE]                3.4348      0.052     66.608      0.000       3.334       3.536\n",
       "skater[T.Mae Berenice MEITE]                               0.9921      0.053     18.851      0.000       0.889       1.095\n",
       "skater[T.Mai MIHARA]                                       2.4048      0.052     46.131      0.000       2.303       2.507\n",
       "skater[T.Maia SHIBUTANI / Alex SHIBUTANI]                  3.7746      0.052     73.191      0.000       3.674       3.876\n",
       "skater[T.Maisy Hiu Ching MA]                              -0.1082      0.069     -1.569      0.117      -0.243       0.027\n",
       "skater[T.Malin MALMBERG / Thomas NORDAHL]                 -1.7893      0.084    -21.236      0.000      -1.954      -1.624\n",
       "skater[T.Mao ASADA]                                        2.6735      0.060     44.713      0.000       2.556       2.791\n",
       "skater[T.Mari VARTMANN / Ruben BLOMMAERT]                  1.7599      0.060     29.401      0.000       1.643       1.877\n",
       "skater[T.Maria SOTSKOVA]                                   2.6416      0.051     51.653      0.000       2.541       2.742\n",
       "skater[T.Mariah BELL]                                      1.9907      0.053     37.807      0.000       1.888       2.094\n",
       "skater[T.Marie-Jade LAURIAULT / Romain LE GAC]             1.6796      0.052     32.246      0.000       1.578       1.782\n",
       "skater[T.Marin HONDA]                                      2.1442      0.060     35.893      0.000       2.027       2.261\n",
       "skater[T.Mario-Rafael IONIAN]                             -0.8185      0.084     -9.717      0.000      -0.984      -0.653\n",
       "skater[T.Marissa CASTELLI / Mervin TRAN]                   1.9070      0.055     34.888      0.000       1.800       2.014\n",
       "skater[T.Mark GORODNITSKY]                                -0.2320      0.084     -2.754      0.006      -0.397      -0.067\n",
       "skater[T.Mark WEBSTER]                                    -0.0859      0.062     -1.375      0.169      -0.208       0.037\n",
       "skater[T.Matilda ALGOTSSON]                                0.4315      0.063      6.836      0.000       0.308       0.555\n",
       "skater[T.Matilda FRIEND / William BADAOUI]                -1.0432      0.060    -17.450      0.000      -1.160      -0.926\n",
       "skater[T.Matteo RIZZO]                                     1.5561      0.058     27.004      0.000       1.443       1.669\n",
       "skater[T.Maurizio ZANDRON]                                 0.8596      0.069     12.445      0.000       0.724       0.995\n",
       "skater[T.Max AARON]                                        2.2006      0.053     41.400      0.000       2.096       2.305\n",
       "skater[T.Maxim KOVTUN]                                     2.4062      0.054     44.659      0.000       2.301       2.512\n",
       "skater[T.Meagan DUHAMEL / Eric RADFORD]                    3.2421      0.051     63.047      0.000       3.141       3.343\n",
       "skater[T.Micah Kai LYNETTE]                               -0.5051      0.083     -6.061      0.000      -0.668      -0.342\n",
       "skater[T.Micah TANG]                                      -1.0031      0.062    -16.062      0.000      -1.125      -0.881\n",
       "skater[T.Michael Christian MARTINEZ]                       1.0259      0.057     17.849      0.000       0.913       1.139\n",
       "skater[T.Michael NEUMAN]                                  -0.3041      0.069     -4.410      0.000      -0.439      -0.169\n",
       "skater[T.Michaela DU TOIT]                                -0.6555      0.084     -7.792      0.000      -0.820      -0.491\n",
       "skater[T.Michaela-Lucie HANZLIKOVA]                       -0.0563      0.063     -0.893      0.372      -0.180       0.067\n",
       "skater[T.Michal BREZINA]                                   2.4123      0.052     46.666      0.000       2.311       2.514\n",
       "skater[T.Michelle LONG]                                    0.9217      0.069     13.338      0.000       0.786       1.057\n",
       "skater[T.Micol CRISTINI]                                   0.2657      0.069      3.847      0.000       0.130       0.401\n",
       "skater[T.Mikhail KOLYADA]                                  3.0031      0.051     58.475      0.000       2.902       3.104\n",
       "skater[T.Minerva Fabienne HASE / Nolan SEEGERT]            0.3847      0.063      6.101      0.000       0.261       0.508\n",
       "skater[T.Mingyang ZHANG / Bowen SONG]                      0.1271      0.069      1.843      0.065      -0.008       0.262\n",
       "skater[T.Minji JI / Themistocles LEFTHERIS]               -0.2674      0.069     -3.880      0.000      -0.402      -0.132\n",
       "skater[T.Mirai NAGASU]                                     2.0784      0.053     39.466      0.000       1.975       2.182\n",
       "skater[T.Miriam ZIEGLER / Severin KIEFER]                  1.2964      0.052     24.859      0.000       1.194       1.399\n",
       "skater[T.Misato KOMATSUBARA / Tim KOLETO]                  0.8069      0.060     13.520      0.000       0.690       0.924\n",
       "skater[T.Misha GE]                                         2.5727      0.051     49.989      0.000       2.472       2.674\n",
       "skater[T.Miu SUZAKI / Ryuichi KIHARA]                      0.2963      0.055      5.351      0.000       0.188       0.405\n",
       "skater[T.Morisi KVITELASHVILI]                             1.7045      0.053     32.415      0.000       1.601       1.808\n",
       "skater[T.Nahyun KIM]                                       1.1174      0.063     17.758      0.000       0.994       1.241\n",
       "skater[T.Nam NGUYEN]                                       1.8576      0.052     35.439      0.000       1.755       1.960\n",
       "skater[T.Natalia KALISZEK / Maksym SPODYRIEV]              1.9243      0.052     37.108      0.000       1.823       2.026\n",
       "skater[T.Natalia ZABIIAKO / Alexander ENBERT]              2.5528      0.051     49.635      0.000       2.452       2.654\n",
       "skater[T.Natalie KLOTZ]                                   -0.7668      0.084     -9.086      0.000      -0.932      -0.601\n",
       "skater[T.Natalie SANGKAGALO]                              -1.4474      0.069    -20.945      0.000      -1.583      -1.312\n",
       "skater[T.Natasha MCKAY]                                    0.2911      0.060      4.867      0.000       0.174       0.408\n",
       "skater[T.Nathalie WEINZIERL]                               0.7651      0.069     11.065      0.000       0.630       0.901\n",
       "skater[T.Nathan CHEN]                                      3.0243      0.051     58.922      0.000       2.924       3.125\n",
       "skater[T.Nicholas VRDOLJAK]                               -0.4156      0.063     -6.609      0.000      -0.539      -0.292\n",
       "skater[T.Nicky OBREYKOV]                                  -0.5692      0.069     -8.254      0.000      -0.704      -0.434\n",
       "skater[T.Nicolas NADEAU]                                   2.1053      0.069     30.494      0.000       1.970       2.241\n",
       "skater[T.Nicole DELLA MONICA / Matteo GUARISE]             2.2588      0.052     43.644      0.000       2.157       2.360\n",
       "skater[T.Nicole KUZMICHOVA / Alexandr SINICYN]             0.8735      0.060     14.596      0.000       0.756       0.991\n",
       "skater[T.Nicole RAJICOVA]                                  1.4271      0.052     27.581      0.000       1.326       1.529\n",
       "skater[T.Nicole SCHOTT]                                    1.2392      0.053     23.539      0.000       1.136       1.342\n",
       "skater[T.Olga JAKUSHINA / Andrey NEVSKIY]                  0.6022      0.069      8.747      0.000       0.467       0.737\n",
       "skater[T.Olivia SMART / Adria DIAZ]                        1.9394      0.060     32.470      0.000       1.822       2.056\n",
       "skater[T.Paige CONNERS / Evgeni KRASNOPOLSKI]              0.5638      0.063      8.956      0.000       0.440       0.687\n",
       "skater[T.Patrick CHAN]                                     3.7505      0.052     72.013      0.000       3.648       3.853\n",
       "skater[T.Paul FENTZ]                                       1.4346      0.053     26.875      0.000       1.330       1.539\n",
       "skater[T.Penny COOMES / Nicholas BUCKLAND]                 2.6914      0.056     47.694      0.000       2.581       2.802\n",
       "skater[T.Pernille SORENSEN]                               -0.6232      0.069     -9.024      0.000      -0.759      -0.488\n",
       "skater[T.Phillip HARRIS]                                   1.0212      0.069     14.772      0.000       0.886       1.157\n",
       "skater[T.Piper GILLES / Paul POIRIER]                      3.1503      0.052     60.268      0.000       3.048       3.253\n",
       "skater[T.Polina EDMUNDS]                                   1.4170      0.069     20.581      0.000       1.282       1.552\n",
       "skater[T.Polina TSURSKAYA]                                 2.3682      0.060     39.608      0.000       2.251       2.485\n",
       "skater[T.Presiyana DIMITROVA]                             -1.6858      0.084    -19.976      0.000      -1.851      -1.520\n",
       "skater[T.Rachel PARSONS / Michael PARSONS]                 1.8840      0.056     33.449      0.000       1.774       1.994\n",
       "skater[T.Rebecca GHILARDI / Filippo AMBROSINI]             0.0397      0.069      0.574      0.566      -0.096       0.175\n",
       "skater[T.Rika HONGO]                                       2.1009      0.053     39.861      0.000       1.998       2.204\n",
       "skater[T.Rikako FUKASE / Aru TATENO]                      -0.0518      0.069     -0.752      0.452      -0.187       0.083\n",
       "skater[T.Riku MIURA / Shoya ICHIHASHI]                    -0.5185      0.070     -7.443      0.000      -0.655      -0.382\n",
       "skater[T.Roberta RODEGHIERO]                               1.3433      0.056     23.819      0.000       1.233       1.454\n",
       "skater[T.Robynne TWEEDALE / Joseph BUCKLAND]               0.3199      0.084      3.799      0.000       0.155       0.485\n",
       "skater[T.Romain PONSART]                                   0.9709      0.060     16.274      0.000       0.854       1.088\n",
       "skater[T.Roman SADOVSKY]                                   1.4796      0.069     21.493      0.000       1.345       1.615\n",
       "skater[T.Ross MINER]                                       2.1588      0.056     38.317      0.000       2.048       2.269\n",
       "skater[T.Ryuju HINO]                                       1.5493      0.069     22.441      0.000       1.414       1.685\n",
       "skater[T.Sara HURTADO / Kirill KHALIAVIN]                  2.0538      0.056     36.369      0.000       1.943       2.165\n",
       "skater[T.Sarah ARNOLD / Thomas WILLIAMS]                   1.0954      0.069     15.895      0.000       0.960       1.230\n",
       "skater[T.Satoko MIYAHARA]                                  3.0968      0.052     59.829      0.000       2.995       3.198\n",
       "skater[T.Serafima SAKHANOVICH]                             1.6785      0.060     28.050      0.000       1.561       1.796\n",
       "skater[T.Sergei VORONOV]                                   2.6705      0.053     49.993      0.000       2.566       2.775\n",
       "skater[T.Shiyue WANG / Xinyu LIU]                          1.7286      0.052     33.230      0.000       1.627       1.831\n",
       "skater[T.Shoma UNO]                                        3.5478      0.051     69.613      0.000       3.448       3.648\n",
       "skater[T.Shuran YU]                                       -0.0671      0.063     -1.066      0.286      -0.190       0.056\n",
       "skater[T.Sihyeong LEE]                                     0.5863      0.059      9.916      0.000       0.470       0.702\n",
       "skater[T.Sila SAYGI]                                      -0.4390      0.084     -5.202      0.000      -0.604      -0.274\n",
       "skater[T.Silvia HUGEC]                                    -0.6343      0.069     -9.184      0.000      -0.770      -0.499\n",
       "skater[T.Slavik HAYRAPETYAN]                               0.2924      0.058      5.061      0.000       0.179       0.406\n",
       "skater[T.So Youn PARK]                                     1.7818      0.060     29.800      0.000       1.665       1.899\n",
       "skater[T.Sofia EVDOKIMOVA / Egor BAZIN]                    1.1454      0.069     16.592      0.000       1.010       1.281\n",
       "skater[T.Sofiya KARAGODINA / Semyon STEPANOV]             -0.8459      0.069    -12.250      0.000      -0.981      -0.711\n",
       "skater[T.Sondre ODDVOLL BOE]                               0.4199      0.060      7.013      0.000       0.303       0.537\n",
       "skater[T.Soyoun PARK]                                      1.0549      0.060     17.647      0.000       0.938       1.172\n",
       "skater[T.Starr ANDREWS]                                    1.0717      0.069     15.509      0.000       0.936       1.207\n",
       "skater[T.Stephane WALKER]                                  0.9571      0.058     16.569      0.000       0.844       1.070\n",
       "skater[T.Su Yeon KIM / Hyungtae KIM]                      -0.1869      0.069     -2.711      0.007      -0.322      -0.052\n",
       "skater[T.Suh Hyun SON]                                    -0.2471      0.069     -3.581      0.000      -0.382      -0.112\n",
       "skater[T.Sumire SUTO / Francis BOUDREAU-AUDET]             0.9153      0.054     16.993      0.000       0.810       1.021\n",
       "skater[T.Sydney KOLODZIEJ / Maxime DESCHAMPS]              0.8531      0.060     14.258      0.000       0.736       0.970\n",
       "skater[T.Tae Ok RYOM / Ju Sik KIM]                         1.6407      0.056     29.071      0.000       1.530       1.751\n",
       "skater[T.Takahito MURA]                                    2.2096      0.053     41.562      0.000       2.105       2.314\n",
       "skater[T.Tarah KAYNE / Daniel O SHEA]                      1.9510      0.057     34.518      0.000       1.840       2.062\n",
       "skater[T.Tatiana DANILOVA / Mikalai KAMIANCHUK]            0.2395      0.063      3.798      0.000       0.116       0.363\n",
       "skater[T.Tatiana KOZMAVA / Alexei SHUMSKI]                -0.0256      0.069     -0.371      0.710      -0.161       0.109\n",
       "skater[T.Taylor TRAN / Saulius AMBRULEVICIUS]              0.5026      0.063      7.972      0.000       0.379       0.626\n",
       "skater[T.Teodora MARKOVA / Simon DAZE]                    -1.0615      0.084    -12.599      0.000      -1.227      -0.896\n",
       "skater[T.Tessa VIRTUE / Scott MOIR]                        4.1214      0.052     79.910      0.000       4.020       4.223\n",
       "skater[T.Thita LAMSAM]                                    -1.3835      0.069    -20.020      0.000      -1.519      -1.248\n",
       "skater[T.Thomas KENNES]                                   -0.2220      0.069     -3.219      0.001      -0.357      -0.087\n",
       "skater[T.Tiffani ZAGORSKI / Jonathan GUERREIRO]            2.4087      0.054     45.021      0.000       2.304       2.514\n",
       "skater[T.Timothy DOLENSKY]                                 2.1293      0.069     30.854      0.000       1.994       2.265\n",
       "skater[T.Tina GARABEDIAN / Simon PROULX-SENECAL]           0.7761      0.058     13.417      0.000       0.663       0.889\n",
       "skater[T.Valentina MARCHEI / Ondrej HOTAREK]               2.3447      0.052     45.292      0.000       2.243       2.446\n",
       "skater[T.Valentina MATOS]                                 -0.9634      0.069    -13.968      0.000      -1.099      -0.828\n",
       "skater[T.Valeriia MIKHAILOVA]                              1.5448      0.069     22.479      0.000       1.410       1.679\n",
       "skater[T.Valtter VIRTANEN]                                 0.3895      0.058      6.743      0.000       0.276       0.503\n",
       "skater[T.Vanessa JAMES / Morgan CIPRES]                    2.9244      0.052     56.517      0.000       2.823       3.026\n",
       "skater[T.Vavara OGLOBLINA / Mikhail ZHIRNOV]               0.3342      0.084      3.969      0.000       0.169       0.499\n",
       "skater[T.Victoria MANNI / Carlo ROTHLISBERGER]             0.0209      0.069      0.303      0.762      -0.114       0.156\n",
       "skater[T.Victoria SINITSINA / Nikita KATSALAPOV]           3.0931      0.054     57.746      0.000       2.988       3.198\n",
       "skater[T.Viktoria KAVALIOVA / Yurii BIELIAIEV]             0.8316      0.054     15.387      0.000       0.726       0.938\n",
       "skater[T.Vincent ZHOU]                                     1.6953      0.056     30.194      0.000       1.585       1.805\n",
       "skater[T.Viveca LINDFORS]                                  0.3116      0.060      5.203      0.000       0.194       0.429\n",
       "skater[T.Wakaba HIGUCHI]                                   2.4198      0.052     46.440      0.000       2.318       2.522\n",
       "skater[T.Wenjing SUI / Cong HAN]                           3.7898      0.053     71.931      0.000       3.687       3.893\n",
       "skater[T.Xiangning LI]                                     0.9749      0.052     18.694      0.000       0.873       1.077\n",
       "skater[T.Xiaotong WANG / Kaige ZHAO]                      -0.4015      0.069     -5.812      0.000      -0.537      -0.266\n",
       "skater[T.Xiaoyu YU / Hao ZHANG]                            2.7759      0.051     53.947      0.000       2.675       2.877\n",
       "skater[T.Xuehan WANG / Lei WANG]                           2.2015      0.060     36.780      0.000       2.084       2.319\n",
       "skater[T.Yakau ZENKO]                                     -0.6564      0.084     -7.775      0.000      -0.822      -0.491\n",
       "skater[T.Yaroslav PANIOT]                                  0.3483      0.069      5.064      0.000       0.213       0.483\n",
       "skater[T.Yasmine Kimiko YAMADA]                           -0.2046      0.069     -2.972      0.003      -0.340      -0.070\n",
       "skater[T.Yuka NAGAI]                                       1.4501      0.060     24.259      0.000       1.333       1.567\n",
       "skater[T.Yuko KAVAGUTI / Alexander SMIRNOV]                2.5224      0.060     42.064      0.000       2.405       2.640\n",
       "skater[T.Yuna SHIRAIWA]                                    1.8846      0.060     31.563      0.000       1.768       2.002\n",
       "skater[T.Yura MATSUDA]                                     1.9562      0.060     32.684      0.000       1.839       2.073\n",
       "skater[T.Yura MIN / Alexander GAMELIN]                     1.3476      0.054     25.179      0.000       1.243       1.453\n",
       "skater[T.Yuzuru HANYU]                                     3.8447      0.052     73.851      0.000       3.743       3.947\n",
       "skater[T.Zijun LI]                                         1.6558      0.055     30.336      0.000       1.549       1.763\n",
       "skater[T.Ziquan ZHAO]                                      0.6200      0.055     11.363      0.000       0.513       0.727\n",
       "skater[T.Zoe JONES / Christopher BOYADJI]                  0.0898      0.058      1.557      0.119      -0.023       0.203\n",
       "judge[T.Adrienn SCHADENBAUER]                             -0.4681      0.040    -11.636      0.000      -0.547      -0.389\n",
       "judge[T.Agita ABELE]                                      -0.3846      0.024    -15.853      0.000      -0.432      -0.337\n",
       "judge[T.Agnieszka SWIDERSKA]                              -0.3644      0.041     -8.959      0.000      -0.444      -0.285\n",
       "judge[T.Aigul KUANISHEVA]                                 -0.2727      0.048     -5.698      0.000      -0.366      -0.179\n",
       "judge[T.Akiko KOBAYASHI]                                  -0.4763      0.039    -12.083      0.000      -0.554      -0.399\n",
       "judge[T.Akira YOSHIZAWA]                                  -0.2691      0.047     -5.671      0.000      -0.362      -0.176\n",
       "judge[T.Akos PETHES]                                      -0.6826      0.039    -17.620      0.000      -0.759      -0.607\n",
       "judge[T.Albert ZAYDMAN]                                   -0.3462      0.026    -13.065      0.000      -0.398      -0.294\n",
       "judge[T.Alexandre GOROJDANOV]                             -0.2705      0.030     -8.953      0.000      -0.330      -0.211\n",
       "judge[T.Alexei BELETSKI]                                  -0.3409      0.027    -12.501      0.000      -0.394      -0.287\n",
       "judge[T.Alice WALDER]                                     -0.4209      0.042    -10.008      0.000      -0.503      -0.338\n",
       "judge[T.Alison RYAN]                                      -0.8207      0.037    -22.255      0.000      -0.893      -0.748\n",
       "judge[T.Allan BOEHM]                                      -0.3114      0.038     -8.171      0.000      -0.386      -0.237\n",
       "judge[T.Anastassia MAKAROVA]                              -0.3868      0.031    -12.347      0.000      -0.448      -0.325\n",
       "judge[T.Anastassiya MAKAROVA]                             -0.4750      0.048     -9.928      0.000      -0.569      -0.381\n",
       "judge[T.Andre-Marc ALLAIN]                                -0.4549      0.034    -13.570      0.000      -0.521      -0.389\n",
       "judge[T.Andrea DERBY]                                     -0.4278      0.033    -12.978      0.000      -0.492      -0.363\n",
       "judge[T.Andrea GMELIN]                                    -0.3601      0.035    -10.178      0.000      -0.429      -0.291\n",
       "judge[T.Andreas WALDECK]                                  -0.5490      0.041    -13.402      0.000      -0.629      -0.469\n",
       "judge[T.Angelique CLYDE-SMITH]                            -0.4647      0.029    -16.018      0.000      -0.522      -0.408\n",
       "judge[T.Anja RIST]                                        -0.5326      0.052    -10.299      0.000      -0.634      -0.431\n",
       "judge[T.Ann FINDLAY]                                      -0.5965      0.035    -17.265      0.000      -0.664      -0.529\n",
       "judge[T.Anna KANTOR]                                      -0.4680      0.025    -18.685      0.000      -0.517      -0.419\n",
       "judge[T.Anne CAMMETT]                                     -0.6120      0.035    -17.681      0.000      -0.680      -0.544\n",
       "judge[T.Anthony LEROY]                                    -0.4516      0.027    -17.037      0.000      -0.504      -0.400\n",
       "judge[T.Ariadna MORONES NEGRETE]                          -0.6839      0.037    -18.574      0.000      -0.756      -0.612\n",
       "judge[T.Asa NORDBACK]                                     -0.3539      0.045     -7.848      0.000      -0.442      -0.266\n",
       "judge[T.Attila SOOS]                                      -0.4006      0.035    -11.594      0.000      -0.468      -0.333\n",
       "judge[T.Ayumi KOZUKA]                                     -0.5982      0.028    -21.266      0.000      -0.653      -0.543\n",
       "judge[T.Beatrice PFISTER]                                 -0.3056      0.045     -6.778      0.000      -0.394      -0.217\n",
       "judge[T.Beth CRANE]                                       -0.5441      0.039    -13.804      0.000      -0.621      -0.467\n",
       "judge[T.Bettina MEIER]                                    -0.4956      0.034    -14.425      0.000      -0.563      -0.428\n",
       "judge[T.Chihee RHEE]                                      -0.4673      0.026    -18.056      0.000      -0.518      -0.417\n",
       "judge[T.Christian BAUMANN]                                -0.6243      0.037    -16.965      0.000      -0.696      -0.552\n",
       "judge[T.Christiane MILES]                                 -0.4529      0.035    -13.006      0.000      -0.521      -0.385\n",
       "judge[T.Christiane MOERTH]                                -0.3691      0.033    -11.250      0.000      -0.433      -0.305\n",
       "judge[T.Christine HURTH]                                  -0.4548      0.029    -15.756      0.000      -0.511      -0.398\n",
       "judge[T.Claudia BRAMBATI]                                 -0.2407      0.033     -7.383      0.000      -0.305      -0.177\n",
       "judge[T.Claudia FASSORA]                                  -0.3898      0.047     -8.329      0.000      -0.482      -0.298\n",
       "judge[T.Csaba BALINT]                                     -0.2472      0.037     -6.691      0.000      -0.320      -0.175\n",
       "judge[T.Cynthia BENSON]                                   -0.6091      0.031    -19.681      0.000      -0.670      -0.548\n",
       "judge[T.Dagmar LURZ-PROTT]                                -0.4695      0.034    -13.657      0.000      -0.537      -0.402\n",
       "judge[T.Dan FANG]                                         -0.6241      0.029    -21.732      0.000      -0.680      -0.568\n",
       "judge[T.Daniel DELFA]                                     -0.5826      0.025    -22.920      0.000      -0.632      -0.533\n",
       "judge[T.Daniela TACCANI]                                  -0.2583      0.040     -6.465      0.000      -0.337      -0.180\n",
       "judge[T.Danuta DUBROWKO]                                  -0.3698      0.033    -11.141      0.000      -0.435      -0.305\n",
       "judge[T.Darja GABROVSEK-POLAJNAR]                         -0.4545      0.048     -9.549      0.000      -0.548      -0.361\n",
       "judge[T.David MOLINA]                                     -0.4138      0.036    -11.362      0.000      -0.485      -0.342\n",
       "judge[T.David MUNOZ]                                      -0.2543      0.031     -8.137      0.000      -0.316      -0.193\n",
       "judge[T.Deborah CURRIE]                                   -0.6176      0.038    -16.237      0.000      -0.692      -0.543\n",
       "judge[T.Deborah ISLAM]                                    -0.6350      0.048    -13.349      0.000      -0.728      -0.542\n",
       "judge[T.Deborah NOYES]                                    -0.1761      0.030     -5.826      0.000      -0.235      -0.117\n",
       "judge[T.Deveny DECK]                                      -0.3731      0.026    -14.205      0.000      -0.425      -0.322\n",
       "judge[T.Donatella LEONELLI]                               -0.4886      0.040    -12.146      0.000      -0.567      -0.410\n",
       "judge[T.Doug WILLIAMS]                                    -0.5283      0.052    -10.172      0.000      -0.630      -0.427\n",
       "judge[T.Ebru ANILDI]                                      -0.4153      0.029    -14.545      0.000      -0.471      -0.359\n",
       "judge[T.Ece ESEN]                                         -0.2938      0.051     -5.715      0.000      -0.395      -0.193\n",
       "judge[T.Eddy WU]                                          -0.5556      0.038    -14.480      0.000      -0.631      -0.480\n",
       "judge[T.Edith SCHILLER]                                   -0.2414      0.035     -6.932      0.000      -0.310      -0.173\n",
       "judge[T.Ekaterina SEROVA]                                 -0.3647      0.032    -11.324      0.000      -0.428      -0.302\n",
       "judge[T.Elena FOMINA]                                     -0.4109      0.025    -16.651      0.000      -0.459      -0.363\n",
       "judge[T.Elena LISOVA]                                     -0.1754      0.052     -3.404      0.001      -0.276      -0.074\n",
       "judge[T.Elisabeth BINDER]                                 -0.3483      0.042     -8.280      0.000      -0.431      -0.266\n",
       "judge[T.Elisabeth LOUESDON]                               -0.4549      0.028    -16.521      0.000      -0.509      -0.401\n",
       "judge[T.Elizabeth ALEXANDRE]                              -0.4822      0.048    -10.090      0.000      -0.576      -0.389\n",
       "judge[T.Elizabeth RYAN]                                   -0.1319      0.033     -4.011      0.000      -0.196      -0.067\n",
       "judge[T.Elke TREITZ]                                      -0.5457      0.028    -19.342      0.000      -0.601      -0.490\n",
       "judge[T.Emilie BILLOW]                                    -0.4663      0.037    -12.618      0.000      -0.539      -0.394\n",
       "judge[T.Ernestien BAKKER]                                 -0.5670      0.035    -16.027      0.000      -0.636      -0.498\n",
       "judge[T.Etsuko AZUMA]                                     -0.2476      0.039     -6.335      0.000      -0.324      -0.171\n",
       "judge[T.Evgeni ROKHIN]                                    -0.0602      0.054     -1.121      0.262      -0.165       0.045\n",
       "judge[T.Feng HUANG]                                       -0.4796      0.026    -18.593      0.000      -0.530      -0.429\n",
       "judge[T.Florence VUYLSTEKER]                              -0.4465      0.036    -12.565      0.000      -0.516      -0.377\n",
       "judge[T.Francis BETSCH]                                   -0.8786      0.064    -13.773      0.000      -1.004      -0.754\n",
       "judge[T.Franco BENINI]                                    -0.3855      0.039     -9.939      0.000      -0.461      -0.309\n",
       "judge[T.Francoise DE RAPPARD]                             -0.5665      0.026    -21.381      0.000      -0.618      -0.515\n",
       "judge[T.Garry HOPPE]                                      -0.2521      0.051     -4.915      0.000      -0.353      -0.152\n",
       "judge[T.Gloria MORANDI]                                   -0.4489      0.041    -11.011      0.000      -0.529      -0.369\n",
       "judge[T.Guangying QIN]                                    -0.4115      0.032    -12.793      0.000      -0.475      -0.348\n",
       "judge[T.Guona ZHAO]                                       -0.2061      0.048     -4.326      0.000      -0.299      -0.113\n",
       "judge[T.Hailan JIANG]                                     -0.4608      0.028    -16.205      0.000      -0.516      -0.405\n",
       "judge[T.Hanna THEN]                                       -0.1350      0.040     -3.363      0.001      -0.214      -0.056\n",
       "judge[T.Hege ROSTO JENSEN]                                -0.6386      0.034    -18.902      0.000      -0.705      -0.572\n",
       "judge[T.Helene CUCUPHAT]                                  -0.5440      0.063     -8.580      0.000      -0.668      -0.420\n",
       "judge[T.Igor DOLGUSHIN]                                   -0.1783      0.033     -5.336      0.000      -0.244      -0.113\n",
       "judge[T.Igor FEDCHENKO]                                   -0.2609      0.037     -7.094      0.000      -0.333      -0.189\n",
       "judge[T.Igor OBRAZTSOV]                                   -0.4709      0.029    -16.125      0.000      -0.528      -0.414\n",
       "judge[T.Igor PROKOP]                                      -0.6042      0.037    -16.170      0.000      -0.677      -0.531\n",
       "judge[T.Ingrid Charlotte WOLTER]                          -0.6252      0.051    -12.197      0.000      -0.726      -0.525\n",
       "judge[T.Irina KOMARNICKA]                                 -0.4000      0.038    -10.497      0.000      -0.475      -0.325\n",
       "judge[T.Irina MEDVEDEVA]                                  -0.1198      0.034     -3.552      0.000      -0.186      -0.054\n",
       "judge[T.Isabella MICHELI]                                 -0.7089      0.032    -22.438      0.000      -0.771      -0.647\n",
       "judge[T.Jana BAUDYSOVA]                                   -0.4249      0.030    -14.049      0.000      -0.484      -0.366\n",
       "judge[T.Janice HUNTER]                                    -0.5268      0.029    -18.140      0.000      -0.584      -0.470\n",
       "judge[T.Jean SENFT]                                       -0.4024      0.039    -10.392      0.000      -0.478      -0.326\n",
       "judge[T.Jeff LUKASIK]                                     -0.4257      0.028    -15.420      0.000      -0.480      -0.372\n",
       "judge[T.Jennifer MAST]                                    -0.3027      0.054     -5.635      0.000      -0.408      -0.197\n",
       "judge[T.Jeroen PRINS]                                     -0.6136      0.034    -17.865      0.000      -0.681      -0.546\n",
       "judge[T.Jezabel DABOUIS]                                  -0.4583      0.040    -11.369      0.000      -0.537      -0.379\n",
       "judge[T.Jia YAO]                                          -0.6011      0.037    -16.357      0.000      -0.673      -0.529\n",
       "judge[T.Jitka MOKRA]                                      -0.4173      0.037    -11.167      0.000      -0.490      -0.344\n",
       "judge[T.Joanna MILLER]                                    -0.6016      0.044    -13.710      0.000      -0.688      -0.516\n",
       "judge[T.Jodi ABBOTT]                                      -0.4101      0.031    -13.053      0.000      -0.472      -0.348\n",
       "judge[T.John MILLIER]                                     -0.4688      0.035    -13.459      0.000      -0.537      -0.401\n",
       "judge[T.Josip CEROVAC]                                    -0.5774      0.045    -12.804      0.000      -0.666      -0.489\n",
       "judge[T.Julia ANDREEVA]                                   -0.3296      0.027    -12.350      0.000      -0.382      -0.277\n",
       "judge[T.Jung-Sue LEE]                                     -0.5718      0.030    -19.337      0.000      -0.630      -0.514\n",
       "judge[T.Kadi ZVIRIK]                                      -0.3547      0.034    -10.483      0.000      -0.421      -0.288\n",
       "judge[T.Kaoru TAKINO]                                     -0.3887      0.033    -11.783      0.000      -0.453      -0.324\n",
       "judge[T.Karen BUTCHER]                                    -0.3750      0.031    -11.997      0.000      -0.436      -0.314\n",
       "judge[T.Karen HOWARD]                                     -0.3755      0.038     -9.995      0.000      -0.449      -0.302\n",
       "judge[T.Kari-Anne OLSEN]                                  -0.6077      0.029    -21.281      0.000      -0.664      -0.552\n",
       "judge[T.Karin EHRHARDT]                                   -0.2302      0.034     -6.852      0.000      -0.296      -0.164\n",
       "judge[T.Katalin BALCZO]                                   -0.5658      0.034    -16.672      0.000      -0.632      -0.499\n",
       "judge[T.Katarina HENRIKSSON]                              -0.5045      0.032    -15.570      0.000      -0.568      -0.441\n",
       "judge[T.Kathleen HARMON]                                  -0.4705      0.033    -14.065      0.000      -0.536      -0.405\n",
       "judge[T.Kenji AMAKO]                                      -0.4822      0.030    -16.205      0.000      -0.541      -0.424\n",
       "judge[T.Kersten BELLMANN]                                 -0.6334      0.048    -13.262      0.000      -0.727      -0.540\n",
       "judge[T.Kerstin KIMMINUS]                                 -0.4909      0.029    -16.929      0.000      -0.548      -0.434\n",
       "judge[T.Ko-Man TING]                                      -0.4628      0.037    -12.594      0.000      -0.535      -0.391\n",
       "judge[T.Kristina HOUWING]                                 -0.5481      0.034    -15.953      0.000      -0.615      -0.481\n",
       "judge[T.Kristina LUNDGREN]                                -0.4992      0.051     -9.738      0.000      -0.600      -0.399\n",
       "judge[T.Kvetoslava MATEJOVA]                              -0.4849      0.034    -14.235      0.000      -0.552      -0.418\n",
       "judge[T.Kylie Anne YACOPETTI]                             -0.7392      0.038    -19.434      0.000      -0.814      -0.665\n",
       "judge[T.Laimute KRAUZIENE]                                -0.3206      0.029    -11.106      0.000      -0.377      -0.264\n",
       "judge[T.Leanna CARON]                                     -0.5447      0.027    -20.460      0.000      -0.597      -0.493\n",
       "judge[T.Lenka BOHUNICKA]                                  -0.0378      0.040     -0.955      0.340      -0.115       0.040\n",
       "judge[T.Leo  LENKOLA]                                     -0.3029      0.037     -8.200      0.000      -0.375      -0.231\n",
       "judge[T.Leslie KEEN]                                      -0.4973      0.030    -16.502      0.000      -0.556      -0.438\n",
       "judge[T.Lisa JELINEK]                                     -0.5929      0.031    -18.928      0.000      -0.654      -0.531\n",
       "judge[T.Lise ROSTO JENSEN]                                -0.3164      0.042     -7.517      0.000      -0.399      -0.234\n",
       "judge[T.Lolita LABUNSKAIYA]                               -0.3041      0.028    -10.685      0.000      -0.360      -0.248\n",
       "judge[T.Lone AMSTRUP LINNEMANN]                           -0.5495      0.042    -13.065      0.000      -0.632      -0.467\n",
       "judge[T.Lone VILLEFRANCE]                                 -0.5702      0.038    -14.860      0.000      -0.645      -0.495\n",
       "judge[T.Lorrie PARKER]                                    -0.2709      0.026    -10.568      0.000      -0.321      -0.221\n",
       "judge[T.Ludmila MIKHAILOVSKAYA]                           -0.2774      0.037     -7.486      0.000      -0.350      -0.205\n",
       "judge[T.Lynne DEY]                                        -0.5650      0.029    -19.227      0.000      -0.623      -0.507\n",
       "judge[T.Magdalena RUSIECKA]                               -0.3948      0.036    -11.062      0.000      -0.465      -0.325\n",
       "judge[T.Maira ABASOVA]                                    -0.4346      0.025    -17.253      0.000      -0.484      -0.385\n",
       "judge[T.Makoto KANO]                                      -0.8779      0.049    -17.842      0.000      -0.974      -0.781\n",
       "judge[T.Malgorzata SOBKOW]                                -0.4243      0.029    -14.648      0.000      -0.481      -0.367\n",
       "judge[T.Mami MAEDA]                                       -0.5201      0.041    -12.705      0.000      -0.600      -0.440\n",
       "judge[T.Marco BUTTARELLI]                                 -0.5067      0.036    -14.210      0.000      -0.577      -0.437\n",
       "judge[T.Margaret WORSFOLD]                                -0.6029      0.032    -18.598      0.000      -0.666      -0.539\n",
       "judge[T.Marjo KANKAANRANTA]                               -0.6462      0.040    -16.092      0.000      -0.725      -0.567\n",
       "judge[T.Mark STORTON]                                     -0.6730      0.029    -23.178      0.000      -0.730      -0.616\n",
       "judge[T.Marketa HORKLOVA]                                 -0.3889      0.051     -7.606      0.000      -0.489      -0.289\n",
       "judge[T.Marta OLOZAGARRE]                                 -0.4410      0.026    -17.279      0.000      -0.491      -0.391\n",
       "judge[T.Mary CHAPMAN]                                     -0.9378      0.040    -23.356      0.000      -1.017      -0.859\n",
       "judge[T.Masako KUBOTA]                                    -0.3514      0.027    -13.229      0.000      -0.403      -0.299\n",
       "judge[T.Massimo ORLANDINI]                                -0.5499      0.027    -20.129      0.000      -0.603      -0.496\n",
       "judge[T.Matjaz KRUSEC]                                    -0.3017      0.047     -6.373      0.000      -0.394      -0.209\n",
       "judge[T.Mayumi KATO]                                      -0.5283      0.031    -17.189      0.000      -0.588      -0.468\n",
       "judge[T.Melody Tan Tan YIP]                               -0.4224      0.040    -10.692      0.000      -0.500      -0.345\n",
       "judge[T.Merja KOSONEN]                                    -0.4200      0.048     -8.822      0.000      -0.513      -0.327\n",
       "judge[T.Michela CESARO]                                   -0.4923      0.036    -13.528      0.000      -0.564      -0.421\n",
       "judge[T.Miroslav MISUREC]                                 -0.3821      0.032    -11.965      0.000      -0.445      -0.320\n",
       "judge[T.Mona ADOLFSEN]                                    -0.5922      0.035    -17.008      0.000      -0.660      -0.524\n",
       "judge[T.Mona JONSSON]                                     -0.3799      0.034    -11.188      0.000      -0.446      -0.313\n",
       "judge[T.Na Young AHN]                                     -0.3655      0.029    -12.439      0.000      -0.423      -0.308\n",
       "judge[T.Nadezhda FIODOROVA]                               -0.4623      0.032    -14.497      0.000      -0.525      -0.400\n",
       "judge[T.Nadezhda PARETSKAIA]                              -0.4631      0.038    -12.176      0.000      -0.538      -0.389\n",
       "judge[T.Natalia KRUGLOVA]                                 -0.3990      0.047     -8.525      0.000      -0.491      -0.307\n",
       "judge[T.Natan KFIR]                                       -0.3911      0.048     -8.216      0.000      -0.484      -0.298\n",
       "judge[T.Neil GARRARD]                                     -0.7325      0.031    -23.463      0.000      -0.794      -0.671\n",
       "judge[T.Nicholas RUSSELL]                                 -0.4280      0.031    -13.974      0.000      -0.488      -0.368\n",
       "judge[T.Nicole LEBLANC-RICHARD]                           -0.4706      0.027    -17.370      0.000      -0.524      -0.417\n",
       "judge[T.Nobuhiko YOSHIOKA]                                -0.3839      0.028    -13.733      0.000      -0.439      -0.329\n",
       "judge[T.Olga KOZHEMIAKINA]                                -0.4722      0.025    -18.821      0.000      -0.521      -0.423\n",
       "judge[T.Olga KOZHEMYAKINA]                                -0.4532      0.036    -12.666      0.000      -0.523      -0.383\n",
       "judge[T.Osman SIRVAN]                                     -0.4408      0.035    -12.459      0.000      -0.510      -0.371\n",
       "judge[T.Paolo PIZZOCARI]                                  -0.4107      0.028    -14.673      0.000      -0.466      -0.356\n",
       "judge[T.Patricia MORITZ]                                  -0.1287      0.039     -3.315      0.001      -0.205      -0.053\n",
       "judge[T.Peggy GRAHAM]                                     -0.4573      0.030    -15.243      0.000      -0.516      -0.399\n",
       "judge[T.Pekka LESKINEN]                                   -0.6490      0.040    -16.074      0.000      -0.728      -0.570\n",
       "judge[T.Peter RANKIN]                                     -1.1853      0.038    -30.890      0.000      -1.261      -1.110\n",
       "judge[T.Philippe MERIGUET]                                -0.5265      0.029    -18.424      0.000      -0.582      -0.470\n",
       "judge[T.Prisca BINZ-MOSER]                                -0.2792      0.059     -4.705      0.000      -0.396      -0.163\n",
       "judge[T.Raia BISSEROVA-BAKALOVA]                          -0.3931      0.035    -11.202      0.000      -0.462      -0.324\n",
       "judge[T.Reaghan FAWCETT]                                  -0.4593      0.032    -14.490      0.000      -0.521      -0.397\n",
       "judge[T.Rebecca ANDREW]                                   -0.3605      0.052     -6.971      0.000      -0.462      -0.259\n",
       "judge[T.Richard DALLEY]                                   -0.4614      0.032    -14.480      0.000      -0.524      -0.399\n",
       "judge[T.Richard GRAINGE]                                  -0.8680      0.041    -21.293      0.000      -0.948      -0.788\n",
       "judge[T.Richard KOSINA]                                   -0.4239      0.027    -15.870      0.000      -0.476      -0.372\n",
       "judge[T.Robert ROSENBLUTH]                                -0.7574      0.038    -19.759      0.000      -0.833      -0.682\n",
       "judge[T.Roberts KRUTKRAMELIS]                             -0.3589      0.051     -7.011      0.000      -0.459      -0.259\n",
       "judge[T.Roger GLENN]                                      -0.6298      0.030    -21.053      0.000      -0.688      -0.571\n",
       "judge[T.Roland MAEDER]                                    -0.0268      0.037     -0.723      0.470      -0.099       0.046\n",
       "judge[T.Rossella CECCATTINI]                              -0.5353      0.051    -10.400      0.000      -0.636      -0.434\n",
       "judge[T.Saioa SANCHO]                                     -0.5681      0.040    -14.121      0.000      -0.647      -0.489\n",
       "judge[T.Sakae YAMAMOTO]                                   -0.4543      0.028    -16.256      0.000      -0.509      -0.400\n",
       "judge[T.Sally REHORICK]                                   -0.3270      0.035     -9.326      0.000      -0.396      -0.258\n",
       "judge[T.Salome CHIGOGIDZE]                                -0.2679      0.029     -9.110      0.000      -0.325      -0.210\n",
       "judge[T.Samuel AUXIER]                                    -0.6002      0.035    -17.340      0.000      -0.668      -0.532\n",
       "judge[T.Sandra WILLIAMSON-LEADLEY]                        -0.4062      0.029    -13.924      0.000      -0.463      -0.349\n",
       "judge[T.Saodat NUMANOVA]                                  -0.3143      0.024    -13.061      0.000      -0.361      -0.267\n",
       "judge[T.Sasha MARTINEZ]                                   -0.4715      0.028    -16.934      0.000      -0.526      -0.417\n",
       "judge[T.Senem AHISKAL]                                    -0.6111      0.034    -18.088      0.000      -0.677      -0.545\n",
       "judge[T.Sharon ROGERS]                                    -0.4264      0.027    -15.995      0.000      -0.479      -0.374\n",
       "judge[T.Shizuko UGAKI]                                    -0.5872      0.028    -20.715      0.000      -0.643      -0.532\n",
       "judge[T.Simona SPALLUTO]                                  -0.6313      0.051    -12.278      0.000      -0.732      -0.531\n",
       "judge[T.Sissy KRICK]                                      -0.5015      0.045    -11.189      0.000      -0.589      -0.414\n",
       "judge[T.So-Young AN]                                      -0.5620      0.027    -20.882      0.000      -0.615      -0.509\n",
       "judge[T.Stanislava SMIDOVA]                               -0.3823      0.040     -9.644      0.000      -0.460      -0.305\n",
       "judge[T.Steve WINKLER]                                    -0.5077      0.035    -14.566      0.000      -0.576      -0.439\n",
       "judge[T.Sung-Hee KOH]                                     -0.3355      0.029    -11.706      0.000      -0.392      -0.279\n",
       "judge[T.Susan PETRICEVIC]                                 -0.6379      0.037    -17.325      0.000      -0.710      -0.566\n",
       "judge[T.Sviatoslav BABENKO]                               -0.3897      0.029    -13.371      0.000      -0.447      -0.333\n",
       "judge[T.Sylvain GUIBORD]                                  -0.5739      0.037    -15.315      0.000      -0.647      -0.500\n",
       "judge[T.Szilard TOTH]                                     -0.2014      0.051     -3.934      0.000      -0.302      -0.101\n",
       "judge[T.Tae Ri LEE]                                       -0.3267      0.037     -8.861      0.000      -0.399      -0.254\n",
       "judge[T.Taffy HOLLIDAY]                                   -1.0455      0.056    -18.629      0.000      -1.155      -0.935\n",
       "judge[T.Tamie K. CAMPBELL]                                -0.5983      0.033    -18.241      0.000      -0.663      -0.534\n",
       "judge[T.Tanay OZKAN]                                      -0.3856      0.026    -15.009      0.000      -0.436      -0.335\n",
       "judge[T.Tarja RISTANEN]                                   -0.2793      0.035     -7.895      0.000      -0.349      -0.210\n",
       "judge[T.Tatiana SHARKINA]                                 -0.2509      0.037     -6.809      0.000      -0.323      -0.179\n",
       "judge[T.Teri SEDEJ]                                       -0.5273      0.048    -11.073      0.000      -0.621      -0.434\n",
       "judge[T.Tetsuo ABE]                                       -0.7007      0.049    -14.221      0.000      -0.797      -0.604\n",
       "judge[T.Thomas BIEGLER]                                   -0.3580      0.030    -11.896      0.000      -0.417      -0.299\n",
       "judge[T.Tianyi ZHANG]                                     -0.5157      0.028    -18.403      0.000      -0.571      -0.461\n",
       "judge[T.Tomie FUKUDOME]                                   -0.4658      0.048     -9.701      0.000      -0.560      -0.372\n",
       "judge[T.Tomiko YAMADA]                                    -0.4342      0.042    -10.439      0.000      -0.516      -0.353\n",
       "judge[T.Ulla FAIG]                                        -0.5704      0.028    -20.549      0.000      -0.625      -0.516\n",
       "judge[T.Vera TAUCHMANOVA]                                 -0.5823      0.029    -20.035      0.000      -0.639      -0.525\n",
       "judge[T.Veronique VERRUE]                                 -0.2985      0.033     -9.158      0.000      -0.362      -0.235\n",
       "judge[T.Vessela POPOVA]                                   -0.3231      0.048     -6.785      0.000      -0.416      -0.230\n",
       "judge[T.Virpi KUNNAS-HELMINEN]                            -0.5382      0.037    -14.569      0.000      -0.611      -0.466\n",
       "judge[T.Vladimir CUCHRAN]                                 -0.5096      0.040    -12.882      0.000      -0.587      -0.432\n",
       "judge[T.Vladislav PETUKHOV]                               -0.2410      0.051     -4.699      0.000      -0.342      -0.140\n",
       "judge[T.Walter TOIGO]                                     -0.4929      0.028    -17.624      0.000      -0.548      -0.438\n",
       "judge[T.Walter ZUCCARO]                                   -0.4965      0.036    -13.980      0.000      -0.566      -0.427\n",
       "judge[T.Wei SHI]                                          -0.3394      0.036     -9.527      0.000      -0.409      -0.270\n",
       "judge[T.Weiguang CHEN]                                    -0.4143      0.025    -16.881      0.000      -0.462      -0.366\n",
       "judge[T.Wendy ENZMANN]                                    -0.4080      0.030    -13.623      0.000      -0.467      -0.349\n",
       "judge[T.Xixia LIU]                                        -0.1632      0.049     -3.313      0.001      -0.260      -0.067\n",
       "judge[T.Yoko KUNO]                                        -0.3658      0.040     -9.182      0.000      -0.444      -0.288\n",
       "judge[T.Yu WANG]                                          -0.4529      0.057     -7.992      0.000      -0.564      -0.342\n",
       "judge[T.Yuko OGAWA]                                       -0.4881      0.038    -12.891      0.000      -0.562      -0.414\n",
       "judge[T.Yuri GUSKOV]                                      -0.2634      0.025    -10.501      0.000      -0.313      -0.214\n",
       "judge[T.Yuriy GUSKOV]                                     -0.2893      0.036     -8.089      0.000      -0.359      -0.219\n",
       "judge[T.Zanna KULIK]                                      -0.4221      0.029    -14.395      0.000      -0.480      -0.365\n",
       "judge[T.Zsuzsanna VIKARNE-HOMOLYA]                        -0.2805      0.040     -6.949      0.000      -0.360      -0.201\n",
       "judge[T.Zuzana PLESNIKOVA]                                -0.4032      0.042     -9.651      0.000      -0.485      -0.321\n",
       "same_country                                               0.2787      0.005     50.757      0.000       0.268       0.290\n",
       "is_gpf                                                     0.1228      0.009     13.816      0.000       0.105       0.140\n",
       "is_ecfc                                                    0.1062      0.006     19.130      0.000       0.095       0.117\n",
       "is_wc                                                      0.0909      0.007     12.417      0.000       0.077       0.105\n",
       "is_owg                                                     0.1720      0.007     23.987      0.000       0.158       0.186\n",
       "season                                                     0.1959      0.004     44.469      0.000       0.187       0.205\n",
       "==============================================================================\n",
       "Omnibus:                     2496.477   Durbin-Watson:                   1.384\n",
       "Prob(Omnibus):                  0.000   Jarque-Bera (JB):             4423.945\n",
       "Skew:                          -0.216   Prob(JB):                         0.00\n",
       "Kurtosis:                       3.949   Cond. No.                     1.23e+07\n",
       "==============================================================================\n",
       "\n",
       "Warnings:\n",
       "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n",
       "[2] The condition number is large, 1.23e+07. This might indicate that there are\n",
       "strong multicollinearity or other numerical problems.\n",
       "\"\"\""
      ]
     },
     "execution_count": 68,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "competition_type.summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x122082050>"
      ]
     },
     "execution_count": 71,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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icoOI3Cgi75+t465fP7W2Rk9HDw8wDKOd2by5NZVHruIQkftF5L6UdL+I3NfI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\nGMAAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x122018bd0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(competition_type.fittedvalues, competition_type.resid, 'bo')\n",
    "plt.xlabel('Fitted Value')\n",
    "plt.ylabel('Residual')\n",
    "plt.title('Fitted Values vs. Residuals, Components and Score Inflation')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x1236ede90>"
      ]
     },
     "execution_count": 74,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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IRnMq19OVL5lBX8pIMZnBLGbtjOMpCKS5SdJkdGf8vplNAf5TsIpEEsgVAkYV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\ngg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11f264f90>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sm.qqplot(competition_type.resid, line='s')\n",
    "plt.title('QQPlot of Residuals, Components and Score Inflation')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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IWq1Wj3d+ktVDIQQXLlzIhg0bsl69euzVqxfj4uJqpeKwp6pxfEvfuXMnQ0JC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\naDQajaZcaMWh0Wg0mnLx/64thoGXazwsAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x13ebeff50>"
      ]
     },
     "execution_count": 77,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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IWq1Wj3d+ktVDIQQXLlzIhg0bsl69euzVqxfj4uJqpeKwp6pxfEvfuXMnQ0JC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\naDQajaZcaMWh0Wg0mnLx/64thoGXazwsAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x13ebeff50>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sm.graphics.plot_partregress('judge_score', 'is_gpf',\n",
    "                             ['skater', 'judge', 'same_country', 'is_ecfc', 'is_owg', 'is_wc'],\n",
    "                             data=comp_all)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x122133ad0>"
      ]
     },
     "execution_count": 72,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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5+VTZMkm75f6Sg2uW6V7X/rmOhh/5mJlZzxrdp9KTk4BZkg4HHgQ+CBARd0qaBdwFdAHH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\n5h04GiGqjIUAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1220f4150>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "competition_type.resid.hist()\n",
    "plt.xlabel('Residual')\n",
    "plt.ylabel('Frequency')\n",
    "plt.title('Residual Histogram, Components and Score Inflation')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# [variance_inflation_factor(competition_type.model.exog, i) for i in xrange(competition_type.model.exog.shape[1])]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x11c02dc10>]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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lormI3AvgJgBXiMgZAH8O4GMAPicit8PscHtLIsfmylMiomIp3FQMEVHZMbET\nERUMEzsRUcEwsRMRFQwTOxFRwTCxExEVDBM7EVHBMLETERXM/wPiUDAcy5SmRQAAAABJRU5ErkJg\ngg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11aa42550>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(comp., competition_type.resid, 'bo')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "X = pd.concat([pd.get_dummies(comp.skater), comp.same_country])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1150ca810>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0x115d4f510>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "comp.log_judge_score.hist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table class=\"simpletable\">\n",
       "<caption>OLS Regression Results</caption>\n",
       "<tr>\n",
       "  <th>Dep. Variable:</th>       <td>judge_score</td>   <th>  R-squared:         </th> <td>   0.857</td> \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Model:</th>                   <td>OLS</td>       <th>  Adj. R-squared:    </th> <td>   0.857</td> \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Method:</th>             <td>Least Squares</td>  <th>  F-statistic:       </th> <td>   1703.</td> \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Date:</th>             <td>Thu, 22 Mar 2018</td> <th>  Prob (F-statistic):</th>  <td>  0.00</td>  \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Time:</th>                 <td>23:56:27</td>     <th>  Log-Likelihood:    </th> <td> -67755.</td> \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>No. Observations:</th>      <td> 97651</td>      <th>  AIC:               </th> <td>1.362e+05</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Df Residuals:</th>          <td> 97307</td>      <th>  BIC:               </th> <td>1.395e+05</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Df Model:</th>              <td>   343</td>      <th>                     </th>     <td> </td>    \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Covariance Type:</th>      <td>nonrobust</td>    <th>                     </th>     <td> </td>    \n",
       "</tr>\n",
       "</table>\n",
       "<table class=\"simpletable\">\n",
       "<tr>\n",
       "                             <td></td>                               <th>coef</th>     <th>std err</th>      <th>t</th>      <th>P>|t|</th>  <th>[0.025</th>    <th>0.975]</th>  \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Intercept</th>                                              <td>    5.6955</td> <td>    0.051</td> <td>  111.367</td> <td> 0.000</td> <td>    5.595</td> <td>    5.796</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Adam RIPPON]</th>                                  <td>    2.8906</td> <td>    0.055</td> <td>   52.875</td> <td> 0.000</td> <td>    2.783</td> <td>    2.998</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Adel TANKOVA / Ronald ZILBERBERG]</th>             <td>   -0.3553</td> <td>    0.066</td> <td>   -5.382</td> <td> 0.000</td> <td>   -0.485</td> <td>   -0.226</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Adele MORRISON / Demid ROKACHEV]</th>              <td>   -1.3500</td> <td>    0.072</td> <td>  -18.667</td> <td> 0.000</td> <td>   -1.492</td> <td>   -1.208</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Aimee BUCHANAN]</th>                               <td>   -1.1510</td> <td>    0.072</td> <td>  -15.915</td> <td> 0.000</td> <td>   -1.293</td> <td>   -1.009</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Aiza MAMBEKOVA]</th>                               <td>   -0.2454</td> <td>    0.066</td> <td>   -3.717</td> <td> 0.000</td> <td>   -0.375</td> <td>   -0.116</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Alaine CHARTRAND]</th>                             <td>    1.3569</td> <td>    0.055</td> <td>   24.567</td> <td> 0.000</td> <td>    1.249</td> <td>    1.465</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Alena LEONOVA]</th>                                <td>    1.6093</td> <td>    0.059</td> <td>   27.253</td> <td> 0.000</td> <td>    1.494</td> <td>    1.725</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Alexa SCIMECA KNIERIM / Chris KNIERIM]</th>        <td>    2.1070</td> <td>    0.056</td> <td>   37.613</td> <td> 0.000</td> <td>    1.997</td> <td>    2.217</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Alexander BOROVOJ]</th>                            <td>   -0.6399</td> <td>    0.089</td> <td>   -7.224</td> <td> 0.000</td> <td>   -0.814</td> <td>   -0.466</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Alexander MAJOROV]</th>                            <td>    1.3357</td> <td>    0.056</td> <td>   23.844</td> <td> 0.000</td> <td>    1.226</td> <td>    1.446</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Alexander MASZLJANKO]</th>                         <td>   -0.4232</td> <td>    0.089</td> <td>   -4.778</td> <td> 0.000</td> <td>   -0.597</td> <td>   -0.250</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Alexander PETROV]</th>                             <td>    1.4972</td> <td>    0.059</td> <td>   25.356</td> <td> 0.000</td> <td>    1.381</td> <td>    1.613</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Alexander SAMARIN]</th>                            <td>    2.0333</td> <td>    0.057</td> <td>   35.563</td> <td> 0.000</td> <td>    1.921</td> <td>    2.145</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Alexandra NAZAROVA / Maxim NIKITIN]</th>           <td>    1.8504</td> <td>    0.056</td> <td>   33.285</td> <td> 0.000</td> <td>    1.741</td> <td>    1.959</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Alexandra PAUL / Mitchell ISLAM]</th>              <td>    1.6417</td> <td>    0.072</td> <td>   22.700</td> <td> 0.000</td> <td>    1.500</td> <td>    1.783</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Alexandra STEPANOVA / Ivan BUKIN]</th>             <td>    2.9963</td> <td>    0.055</td> <td>   54.808</td> <td> 0.000</td> <td>    2.889</td> <td>    3.103</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Alexei BYCHENKO]</th>                              <td>    2.1994</td> <td>    0.054</td> <td>   40.549</td> <td> 0.000</td> <td>    2.093</td> <td>    2.306</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Alexia PAGANINI]</th>                              <td>    0.4860</td> <td>    0.063</td> <td>    7.760</td> <td> 0.000</td> <td>    0.363</td> <td>    0.609</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Alicia PINEAULT]</th>                              <td>    0.6278</td> <td>    0.072</td> <td>    8.681</td> <td> 0.000</td> <td>    0.486</td> <td>    0.770</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Alina ZAGITOVA]</th>                               <td>    3.0507</td> <td>    0.056</td> <td>   54.459</td> <td> 0.000</td> <td>    2.941</td> <td>    3.161</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Alisa AGAFONOVA / Alper UCAR]</th>                 <td>    1.5169</td> <td>    0.054</td> <td>   27.966</td> <td> 0.000</td> <td>    1.411</td> <td>    1.623</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Alisa EFIMOVA / Alexander KOROVIN]</th>            <td>    1.0139</td> <td>    0.072</td> <td>   14.020</td> <td> 0.000</td> <td>    0.872</td> <td>    1.156</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Aljona SAVCHENKO / Bruno MASSOT]</th>              <td>    3.4690</td> <td>    0.054</td> <td>   63.956</td> <td> 0.000</td> <td>    3.363</td> <td>    3.575</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Alla LOBODA / Pavel DROZD]</th>                    <td>    1.8403</td> <td>    0.063</td> <td>   29.383</td> <td> 0.000</td> <td>    1.718</td> <td>    1.963</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Amber GLENN]</th>                                  <td>    1.1167</td> <td>    0.072</td> <td>   15.441</td> <td> 0.000</td> <td>    0.975</td> <td>    1.258</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Amy LIN]</th>                                      <td>    0.1172</td> <td>    0.061</td> <td>    1.936</td> <td> 0.053</td> <td>   -0.001</td> <td>    0.236</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Anastasia CANNUSCIO / Colin MCMANUS]</th>          <td>    1.1917</td> <td>    0.063</td> <td>   19.027</td> <td> 0.000</td> <td>    1.069</td> <td>    1.314</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Anastasia GALUSTYAN]</th>                          <td>    0.8640</td> <td>    0.056</td> <td>   15.422</td> <td> 0.000</td> <td>    0.754</td> <td>    0.974</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Anastasia GALYETA / Avidan BROWN]</th>             <td>   -0.0788</td> <td>    0.089</td> <td>   -0.890</td> <td> 0.374</td> <td>   -0.252</td> <td>    0.095</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Andrei LAZUKIN]</th>                               <td>    1.4556</td> <td>    0.072</td> <td>   20.127</td> <td> 0.000</td> <td>    1.314</td> <td>    1.597</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Andrew DODDS]</th>                                 <td>    0.5472</td> <td>    0.063</td> <td>    8.737</td> <td> 0.000</td> <td>    0.424</td> <td>    0.670</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Angela WANG]</th>                                  <td>    1.2472</td> <td>    0.072</td> <td>   17.246</td> <td> 0.000</td> <td>    1.105</td> <td>    1.389</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Angelina KUCHVALSKA]</th>                          <td>    0.6893</td> <td>    0.057</td> <td>   12.057</td> <td> 0.000</td> <td>    0.577</td> <td>    0.801</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Angelique ABACHKINA / Louis THAURON]</th>          <td>    1.5327</td> <td>    0.059</td> <td>   25.957</td> <td> 0.000</td> <td>    1.417</td> <td>    1.648</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Anita OSTLUND]</th>                                <td>    0.3045</td> <td>    0.066</td> <td>    4.613</td> <td> 0.000</td> <td>    0.175</td> <td>    0.434</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Anna CAPPELLINI / Luca LANOTTE]</th>               <td>    3.3699</td> <td>    0.054</td> <td>   62.517</td> <td> 0.000</td> <td>    3.264</td> <td>    3.476</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Anna DUSKOVA / Martin BIDAR]</th>                  <td>    1.3552</td> <td>    0.059</td> <td>   22.949</td> <td> 0.000</td> <td>    1.239</td> <td>    1.471</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Anna KHNYCHENKOVA]</th>                            <td>   -0.2189</td> <td>    0.059</td> <td>   -3.707</td> <td> 0.000</td> <td>   -0.335</td> <td>   -0.103</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Anna POGORILAYA]</th>                              <td>    2.7177</td> <td>    0.055</td> <td>   49.203</td> <td> 0.000</td> <td>    2.609</td> <td>    2.826</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Anna YANOVSKAYA / Adam LUKACS]</th>                <td>    1.4333</td> <td>    0.072</td> <td>   19.819</td> <td> 0.000</td> <td>    1.292</td> <td>    1.575</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Anne Line GJERSEM]</th>                            <td>   -0.2324</td> <td>    0.061</td> <td>   -3.841</td> <td> 0.000</td> <td>   -0.351</td> <td>   -0.114</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Annika HOCKE / Ruben BLOMMAERT]</th>               <td>    1.1370</td> <td>    0.063</td> <td>   18.154</td> <td> 0.000</td> <td>    1.014</td> <td>    1.260</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Anton KARPUK]</th>                                 <td>   -0.7306</td> <td>    0.089</td> <td>   -8.248</td> <td> 0.000</td> <td>   -0.904</td> <td>   -0.557</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Antonina DUBININA]</th>                            <td>   -1.2260</td> <td>    0.072</td> <td>  -16.952</td> <td> 0.000</td> <td>   -1.368</td> <td>   -1.084</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Arina CHERNIAVSKAIA / Evgeni KRASNOPOLSKI]</th>    <td>   -0.5908</td> <td>    0.072</td> <td>   -8.169</td> <td> 0.000</td> <td>   -0.733</td> <td>   -0.449</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Artur DMITRIEV]</th>                               <td>    1.3556</td> <td>    0.063</td> <td>   21.644</td> <td> 0.000</td> <td>    1.233</td> <td>    1.478</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Ashley CAIN / Timothy LEDUC]</th>                  <td>    1.3204</td> <td>    0.059</td> <td>   22.361</td> <td> 0.000</td> <td>    1.205</td> <td>    1.436</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Ashley WAGNER]</th>                                <td>    2.7643</td> <td>    0.057</td> <td>   48.895</td> <td> 0.000</td> <td>    2.653</td> <td>    2.875</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Aurelija IPOLITO / Malcolm JONES]</th>             <td>   -1.5955</td> <td>    0.089</td> <td>  -18.013</td> <td> 0.000</td> <td>   -1.769</td> <td>   -1.422</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Betina POPOVA / Sergey MOZGOV]</th>                <td>    1.9639</td> <td>    0.072</td> <td>   27.156</td> <td> 0.000</td> <td>    1.822</td> <td>    2.106</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Birce ATABEY]</th>                                 <td>   -1.4139</td> <td>    0.089</td> <td>  -15.963</td> <td> 0.000</td> <td>   -1.587</td> <td>   -1.240</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Boyang JIN]</th>                                   <td>    2.3962</td> <td>    0.054</td> <td>   44.178</td> <td> 0.000</td> <td>    2.290</td> <td>    2.502</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Bradie TENNELL]</th>                               <td>    1.9194</td> <td>    0.063</td> <td>   30.647</td> <td> 0.000</td> <td>    1.797</td> <td>    2.042</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Brendan KERRY]</th>                                <td>    1.4524</td> <td>    0.055</td> <td>   26.567</td> <td> 0.000</td> <td>    1.345</td> <td>    1.560</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Brittany JONES / Joshua REAGAN]</th>               <td>    0.6833</td> <td>    0.072</td> <td>    9.449</td> <td> 0.000</td> <td>    0.542</td> <td>    0.825</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Brooklee HAN]</th>                                 <td>    0.5278</td> <td>    0.063</td> <td>    8.427</td> <td> 0.000</td> <td>    0.405</td> <td>    0.651</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Burak DEMIRBOGA]</th>                              <td>   -0.2528</td> <td>    0.072</td> <td>   -3.495</td> <td> 0.000</td> <td>   -0.395</td> <td>   -0.111</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Camille RUEST / Andrew WOLFE]</th>                 <td>    1.0220</td> <td>    0.063</td> <td>   16.303</td> <td> 0.000</td> <td>    0.899</td> <td>    1.145</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Carolane SOUCISSE / Shane FIRUS]</th>              <td>    1.8278</td> <td>    0.063</td> <td>   29.183</td> <td> 0.000</td> <td>    1.705</td> <td>    1.951</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Carolina KOSTNER]</th>                             <td>    3.5160</td> <td>    0.055</td> <td>   64.313</td> <td> 0.000</td> <td>    3.409</td> <td>    3.623</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Cecilia TORN / Jussiville PARTANEN]</th>           <td>    1.0565</td> <td>    0.058</td> <td>   18.220</td> <td> 0.000</td> <td>    0.943</td> <td>    1.170</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Chafik BESSEGHIER]</th>                            <td>    1.4362</td> <td>    0.056</td> <td>   25.829</td> <td> 0.000</td> <td>    1.327</td> <td>    1.545</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Chantelle KERRY / Andrew DODDS]</th>               <td>   -0.5806</td> <td>    0.072</td> <td>   -8.028</td> <td> 0.000</td> <td>   -0.722</td> <td>   -0.439</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Charlene GUIGNARD / Marco FABBRI]</th>             <td>    2.6752</td> <td>    0.054</td> <td>   49.322</td> <td> 0.000</td> <td>    2.569</td> <td>    2.782</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Cheng PENG / Yang JIN]</th>                        <td>    1.9887</td> <td>    0.055</td> <td>   36.203</td> <td> 0.000</td> <td>    1.881</td> <td>    2.096</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Chih-I TSAO]</th>                                  <td>    0.2990</td> <td>    0.061</td> <td>    4.941</td> <td> 0.000</td> <td>    0.180</td> <td>    0.418</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Chloe ING]</th>                                    <td>   -0.2107</td> <td>    0.063</td> <td>   -3.365</td> <td> 0.001</td> <td>   -0.333</td> <td>   -0.088</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Colette Coco KAMINSKI]</th>                        <td>   -1.1510</td> <td>    0.089</td> <td>  -12.995</td> <td> 0.000</td> <td>   -1.325</td> <td>   -0.977</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Conor STAKELUM]</th>                               <td>   -1.1955</td> <td>    0.089</td> <td>  -13.497</td> <td> 0.000</td> <td>   -1.369</td> <td>   -1.022</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Cortney MANSOUROVA / Michal CESKA]</th>            <td>    0.8241</td> <td>    0.063</td> <td>   13.157</td> <td> 0.000</td> <td>    0.701</td> <td>    0.947</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Courtney HICKS]</th>                               <td>    1.5241</td> <td>    0.059</td> <td>   25.810</td> <td> 0.000</td> <td>    1.408</td> <td>    1.640</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Dabin CHOI]</th>                                   <td>    1.1959</td> <td>    0.055</td> <td>   21.875</td> <td> 0.000</td> <td>    1.089</td> <td>    1.303</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Daniel Albert NAURITS]</th>                        <td>    0.2495</td> <td>    0.063</td> <td>    3.983</td> <td> 0.000</td> <td>    0.127</td> <td>    0.372</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Daniel SAMOHIN]</th>                               <td>    1.7770</td> <td>    0.056</td> <td>   31.965</td> <td> 0.000</td> <td>    1.668</td> <td>    1.886</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Daria BEKLEMISHEVA / Mark MAGYAR]</th>             <td>   -0.2455</td> <td>    0.089</td> <td>   -2.771</td> <td> 0.006</td> <td>   -0.419</td> <td>   -0.072</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Darya POPOVA / Volodymyr BYELIKOV]</th>            <td>   -0.1694</td> <td>    0.089</td> <td>   -1.913</td> <td> 0.056</td> <td>   -0.343</td> <td>    0.004</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Dasa GRM]</th>                                     <td>   -0.0871</td> <td>    0.063</td> <td>   -1.391</td> <td> 0.164</td> <td>   -0.210</td> <td>    0.036</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Davide LEWTON BRAIN]</th>                          <td>   -0.3343</td> <td>    0.089</td> <td>   -3.775</td> <td> 0.000</td> <td>   -0.508</td> <td>   -0.161</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Deanna STELLATO / Nathan BARTHOLOMAY]</th>         <td>    1.0917</td> <td>    0.063</td> <td>   17.430</td> <td> 0.000</td> <td>    0.969</td> <td>    1.214</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Denis TEN]</th>                                    <td>    2.5209</td> <td>    0.056</td> <td>   45.347</td> <td> 0.000</td> <td>    2.412</td> <td>    2.630</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Deniss VASILJEVS]</th>                             <td>    2.0691</td> <td>    0.054</td> <td>   38.146</td> <td> 0.000</td> <td>    1.963</td> <td>    2.175</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Diana NIKITINA]</th>                               <td>    0.0342</td> <td>    0.072</td> <td>    0.473</td> <td> 0.636</td> <td>   -0.108</td> <td>    0.176</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Dmitri ALIEV]</th>                                 <td>    2.5199</td> <td>    0.057</td> <td>   44.074</td> <td> 0.000</td> <td>    2.408</td> <td>    2.632</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Donovan CARRILLO]</th>                             <td>    0.0045</td> <td>    0.072</td> <td>    0.063</td> <td> 0.950</td> <td>   -0.137</td> <td>    0.146</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Ekaterina ALEXANDROVSKAYA / Harley WINDSOR]</th>   <td>    0.6636</td> <td>    0.058</td> <td>   11.444</td> <td> 0.000</td> <td>    0.550</td> <td>    0.777</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Ekaterina BOBROVA / Dmitri SOLOVIEV]</th>          <td>    3.4629</td> <td>    0.054</td> <td>   64.241</td> <td> 0.000</td> <td>    3.357</td> <td>    3.569</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Elena ILINYKH / Ruslan ZHIGANSHIN]</th>            <td>    2.8042</td> <td>    0.063</td> <td>   44.773</td> <td> 0.000</td> <td>    2.681</td> <td>    2.927</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Elena RADIONOVA]</th>                              <td>    2.7261</td> <td>    0.056</td> <td>   48.665</td> <td> 0.000</td> <td>    2.616</td> <td>    2.836</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Eliska BREZINOVA]</th>                             <td>   -0.0066</td> <td>    0.072</td> <td>   -0.091</td> <td> 0.928</td> <td>   -0.148</td> <td>    0.135</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Elizabet TURSYNBAEVA]</th>                         <td>    1.7574</td> <td>    0.054</td> <td>   32.400</td> <td> 0.000</td> <td>    1.651</td> <td>    1.864</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Elizaveta TUKTAMYSHEVA]</th>                       <td>    1.9653</td> <td>    0.057</td> <td>   34.374</td> <td> 0.000</td> <td>    1.853</td> <td>    2.077</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Elladj BALDE]</th>                                 <td>    1.8370</td> <td>    0.059</td> <td>   31.111</td> <td> 0.000</td> <td>    1.721</td> <td>    1.953</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Elliana POGREBINSKY / Alex BENOIT]</th>            <td>    1.6097</td> <td>    0.057</td> <td>   28.155</td> <td> 0.000</td> <td>    1.498</td> <td>    1.722</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Elzbieta GABRYSZAK]</th>                           <td>   -1.0121</td> <td>    0.089</td> <td>  -11.427</td> <td> 0.000</td> <td>   -1.186</td> <td>   -0.839</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Elzbieta KROPA]</th>                               <td>   -0.8584</td> <td>    0.066</td> <td>  -13.002</td> <td> 0.000</td> <td>   -0.988</td> <td>   -0.729</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Emi HIRAI / Marien DE LA ASUNCION]</th>            <td>    0.0792</td> <td>    0.063</td> <td>    1.264</td> <td> 0.206</td> <td>   -0.044</td> <td>    0.202</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Emilia SIMONEN / Matthew PENASSE]</th>             <td>   -0.7010</td> <td>    0.089</td> <td>   -7.914</td> <td> 0.000</td> <td>   -0.875</td> <td>   -0.527</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Emmi PELTONEN]</th>                                <td>    1.0284</td> <td>    0.058</td> <td>   17.735</td> <td> 0.000</td> <td>    0.915</td> <td>    1.142</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Engin Ali ARTAN]</th>                              <td>   -1.1861</td> <td>    0.089</td> <td>  -13.391</td> <td> 0.000</td> <td>   -1.360</td> <td>   -1.013</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Evgenia MEDVEDEVA]</th>                            <td>    3.6107</td> <td>    0.054</td> <td>   66.983</td> <td> 0.000</td> <td>    3.505</td> <td>    3.716</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Evgenia TARASOVA / Vladimir MOROZOV]</th>          <td>    3.1989</td> <td>    0.054</td> <td>   59.629</td> <td> 0.000</td> <td>    3.094</td> <td>    3.304</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Felipe MONTOYA]</th>                               <td>    0.6188</td> <td>    0.066</td> <td>    9.372</td> <td> 0.000</td> <td>    0.489</td> <td>    0.748</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Fruzsina MEDGYESI]</th>                            <td>   -0.3639</td> <td>    0.089</td> <td>   -4.108</td> <td> 0.000</td> <td>   -0.537</td> <td>   -0.190</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Gabriella PAPADAKIS / Guillaume CIZERON]</th>      <td>    3.9318</td> <td>    0.054</td> <td>   73.309</td> <td> 0.000</td> <td>    3.827</td> <td>    4.037</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Gabrielle DALEMAN]</th>                            <td>    2.3872</td> <td>    0.055</td> <td>   43.666</td> <td> 0.000</td> <td>    2.280</td> <td>    2.494</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Geon Hyeong AN]</th>                               <td>    0.0750</td> <td>    0.072</td> <td>    1.037</td> <td> 0.300</td> <td>   -0.067</td> <td>    0.217</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Giada RUSSO]</th>                                  <td>    0.5601</td> <td>    0.066</td> <td>    8.484</td> <td> 0.000</td> <td>    0.431</td> <td>    0.689</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Goda BUTKUTE / Nikita ERMOLAEV]</th>               <td>   -0.1232</td> <td>    0.063</td> <td>   -1.967</td> <td> 0.049</td> <td>   -0.246</td> <td>   -0.000</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Gordei GORSHKOV]</th>                              <td>    1.4667</td> <td>    0.072</td> <td>   20.280</td> <td> 0.000</td> <td>    1.325</td> <td>    1.608</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Gracie GOLD]</th>                                  <td>    2.2542</td> <td>    0.063</td> <td>   35.992</td> <td> 0.000</td> <td>    2.131</td> <td>    2.377</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Graham NEWBERRY]</th>                              <td>    0.4077</td> <td>    0.066</td> <td>    6.175</td> <td> 0.000</td> <td>    0.278</td> <td>    0.537</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Grant HOCHSTEIN]</th>                              <td>    1.7380</td> <td>    0.055</td> <td>   31.465</td> <td> 0.000</td> <td>    1.630</td> <td>    1.846</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Guoste DAMULEVICIUTE / Deividas KIZALA]</th>       <td>   -0.1066</td> <td>    0.089</td> <td>   -1.203</td> <td> 0.229</td> <td>   -0.280</td> <td>    0.067</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Haley SALES / Nikolas WAMSTEEKER]</th>             <td>    0.9944</td> <td>    0.072</td> <td>   13.751</td> <td> 0.000</td> <td>    0.853</td> <td>    1.136</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Han YAN]</th>                                      <td>    2.2734</td> <td>    0.055</td> <td>   41.585</td> <td> 0.000</td> <td>    2.166</td> <td>    2.381</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Hanna JAKUCS / Daniel ILLES]</th>                  <td>   -0.3955</td> <td>    0.089</td> <td>   -4.465</td> <td> 0.000</td> <td>   -0.569</td> <td>   -0.222</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Hanul KIM]</th>                                    <td>    0.8667</td> <td>    0.063</td> <td>   13.838</td> <td> 0.000</td> <td>    0.744</td> <td>    0.989</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Harrison Jon-Yen WONG]</th>                        <td>   -0.7316</td> <td>    0.072</td> <td>  -10.115</td> <td> 0.000</td> <td>   -0.873</td> <td>   -0.590</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Harry Hau Yin LEE]</th>                            <td>   -0.9010</td> <td>    0.072</td> <td>  -12.458</td> <td> 0.000</td> <td>   -1.043</td> <td>   -0.759</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Haven DENNEY / Brandon FRAZIER]</th>               <td>    1.6946</td> <td>    0.056</td> <td>   30.459</td> <td> 0.000</td> <td>    1.586</td> <td>    1.804</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.He ZHANG]</th>                                     <td>    0.3750</td> <td>    0.063</td> <td>    5.987</td> <td> 0.000</td> <td>    0.252</td> <td>    0.498</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Helery HALVIN]</th>                                <td>    0.2460</td> <td>    0.066</td> <td>    3.726</td> <td> 0.000</td> <td>    0.117</td> <td>    0.375</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Hiroaki SATO]</th>                                 <td>    1.2528</td> <td>    0.072</td> <td>   17.323</td> <td> 0.000</td> <td>    1.111</td> <td>    1.395</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Hojung LEE / Richard Kang In KAM]</th>             <td>   -0.1677</td> <td>    0.072</td> <td>   -2.319</td> <td> 0.020</td> <td>   -0.309</td> <td>   -0.026</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Hong CHEN / Yan ZHAO]</th>                         <td>    0.3028</td> <td>    0.059</td> <td>    5.128</td> <td> 0.000</td> <td>    0.187</td> <td>    0.419</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Hristina VASSILEVA]</th>                           <td>   -1.7566</td> <td>    0.089</td> <td>  -19.831</td> <td> 0.000</td> <td>   -1.930</td> <td>   -1.583</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Igor REZNICHENKO]</th>                             <td>   -0.0172</td> <td>    0.063</td> <td>   -0.274</td> <td> 0.784</td> <td>   -0.140</td> <td>    0.106</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Ioulia CHTCHETININA / Mikhail AKULOV]</th>         <td>   -0.4963</td> <td>    0.072</td> <td>   -6.863</td> <td> 0.000</td> <td>   -0.638</td> <td>   -0.355</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Ioulia CHTCHETININA / Noah SCHERER]</th>           <td>   -0.7611</td> <td>    0.072</td> <td>  -10.524</td> <td> 0.000</td> <td>   -0.903</td> <td>   -0.619</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Irakli MAYSURADZE]</th>                            <td>    0.4500</td> <td>    0.072</td> <td>    6.222</td> <td> 0.000</td> <td>    0.308</td> <td>    0.592</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Isabella TOBIAS / Ilia TKACHENKO]</th>             <td>    2.4136</td> <td>    0.057</td> <td>   42.216</td> <td> 0.000</td> <td>    2.302</td> <td>    2.526</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Isadora WILLIAMS]</th>                             <td>    0.4971</td> <td>    0.066</td> <td>    7.530</td> <td> 0.000</td> <td>    0.368</td> <td>    0.627</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Ivan PAVLOV]</th>                                  <td>    0.6712</td> <td>    0.066</td> <td>   10.166</td> <td> 0.000</td> <td>    0.542</td> <td>    0.801</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Ivan RIGHINI]</th>                                 <td>    1.5620</td> <td>    0.063</td> <td>   24.939</td> <td> 0.000</td> <td>    1.439</td> <td>    1.685</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Ivett TOTH]</th>                                   <td>    0.8407</td> <td>    0.057</td> <td>   14.704</td> <td> 0.000</td> <td>    0.729</td> <td>    0.953</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Jasmine TESSARI / Francesco FIORETTI]</th>         <td>    0.4706</td> <td>    0.066</td> <td>    7.128</td> <td> 0.000</td> <td>    0.341</td> <td>    0.600</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Jason BROWN]</th>                                  <td>    3.1238</td> <td>    0.054</td> <td>   57.593</td> <td> 0.000</td> <td>    3.018</td> <td>    3.230</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Javier FERNANDEZ]</th>                             <td>    3.6440</td> <td>    0.054</td> <td>   67.602</td> <td> 0.000</td> <td>    3.538</td> <td>    3.750</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Javier RAYA]</th>                                  <td>    0.7928</td> <td>    0.066</td> <td>   12.009</td> <td> 0.000</td> <td>    0.663</td> <td>    0.922</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Jessica PFUND / Joshua SANTILLAN]</th>             <td>    0.7528</td> <td>    0.072</td> <td>   10.409</td> <td> 0.000</td> <td>    0.611</td> <td>    0.895</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Jinseo KIM]</th>                                   <td>    0.7386</td> <td>    0.066</td> <td>   11.187</td> <td> 0.000</td> <td>    0.609</td> <td>    0.868</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Jiri BELOHRADSKY]</th>                             <td>    0.1225</td> <td>    0.066</td> <td>    1.855</td> <td> 0.064</td> <td>   -0.007</td> <td>    0.252</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Joanna SO]</th>                                    <td>   -0.6093</td> <td>    0.072</td> <td>   -8.425</td> <td> 0.000</td> <td>   -0.751</td> <td>   -0.468</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Jorik HENDRICKX]</th>                              <td>    2.1404</td> <td>    0.055</td> <td>   39.152</td> <td> 0.000</td> <td>    2.033</td> <td>    2.248</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Joshi HELGESSON]</th>                              <td>    0.9139</td> <td>    0.058</td> <td>   15.760</td> <td> 0.000</td> <td>    0.800</td> <td>    1.028</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Julia LIPNITSKAIA]</th>                            <td>    1.7111</td> <td>    0.072</td> <td>   23.660</td> <td> 0.000</td> <td>    1.569</td> <td>    1.853</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Julia SAUTER]</th>                                 <td>   -0.5427</td> <td>    0.072</td> <td>   -7.504</td> <td> 0.000</td> <td>   -0.684</td> <td>   -0.401</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Julian Zhi Jie YEE]</th>                           <td>    0.9418</td> <td>    0.058</td> <td>   16.242</td> <td> 0.000</td> <td>    0.828</td> <td>    1.055</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Julianne SEGUIN / Charlie BILODEAU]</th>           <td>    2.1378</td> <td>    0.055</td> <td>   39.086</td> <td> 0.000</td> <td>    2.031</td> <td>    2.245</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Jun Hwan CHA]</th>                                 <td>    1.4917</td> <td>    0.072</td> <td>   20.626</td> <td> 0.000</td> <td>    1.350</td> <td>    1.633</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.June Hyoung LEE]</th>                              <td>    0.8792</td> <td>    0.063</td> <td>   14.037</td> <td> 0.000</td> <td>    0.756</td> <td>    1.002</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Junhwan CHA]</th>                                  <td>    2.3379</td> <td>    0.072</td> <td>   32.326</td> <td> 0.000</td> <td>    2.196</td> <td>    2.480</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Justyna PLUTOWSKA / Jeremie FLEMIN]</th>           <td>    0.3601</td> <td>    0.089</td> <td>    4.065</td> <td> 0.000</td> <td>    0.186</td> <td>    0.534</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Kaetlyn OSMOND]</th>                               <td>    3.0119</td> <td>    0.054</td> <td>   55.876</td> <td> 0.000</td> <td>    2.906</td> <td>    3.118</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Kai Xiang CHEW]</th>                               <td>   -0.9288</td> <td>    0.066</td> <td>  -14.068</td> <td> 0.000</td> <td>   -1.058</td> <td>   -0.799</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Kailani CRAINE]</th>                               <td>    0.6385</td> <td>    0.056</td> <td>   11.398</td> <td> 0.000</td> <td>    0.529</td> <td>    0.748</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Kaitlin HAWAYEK / Jean-Luc BAKER]</th>             <td>    2.2878</td> <td>    0.056</td> <td>   40.840</td> <td> 0.000</td> <td>    2.178</td> <td>    2.398</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Kaitlyn WEAVER / Andrew POJE]</th>                 <td>    3.3970</td> <td>    0.055</td> <td>   62.132</td> <td> 0.000</td> <td>    3.290</td> <td>    3.504</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Kana MURAMOTO / Chris REED]</th>                   <td>    1.7286</td> <td>    0.055</td> <td>   31.468</td> <td> 0.000</td> <td>    1.621</td> <td>    1.836</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Kanako MURAKAMI]</th>                              <td>    1.1167</td> <td>    0.063</td> <td>   17.829</td> <td> 0.000</td> <td>    0.994</td> <td>    1.239</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Kaori SAKAMOTO]</th>                               <td>    2.4055</td> <td>    0.057</td> <td>   42.074</td> <td> 0.000</td> <td>    2.293</td> <td>    2.518</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Karen CHEN]</th>                                   <td>    1.9820</td> <td>    0.055</td> <td>   36.255</td> <td> 0.000</td> <td>    1.875</td> <td>    2.089</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Katerina BUNINA / German FROLOV]</th>              <td>   -0.9010</td> <td>    0.072</td> <td>  -12.458</td> <td> 0.000</td> <td>   -1.043</td> <td>   -0.759</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Kavita LORENZ / Joti POLIZOAKIS]</th>              <td>    1.4442</td> <td>    0.057</td> <td>   25.259</td> <td> 0.000</td> <td>    1.332</td> <td>    1.556</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Kazuki TOMONO]</th>                                <td>    1.7917</td> <td>    0.072</td> <td>   24.774</td> <td> 0.000</td> <td>    1.650</td> <td>    1.933</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Keegan MESSING]</th>                               <td>    2.2781</td> <td>    0.059</td> <td>   38.580</td> <td> 0.000</td> <td>    2.162</td> <td>    2.394</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Keiji TANAKA]</th>                                 <td>    2.0320</td> <td>    0.055</td> <td>   37.169</td> <td> 0.000</td> <td>    1.925</td> <td>    2.139</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Kerstin FRANK]</th>                                <td>   -0.0960</td> <td>    0.066</td> <td>   -1.455</td> <td> 0.146</td> <td>   -0.225</td> <td>    0.033</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Kevin AYMOZ]</th>                                  <td>    1.3662</td> <td>    0.063</td> <td>   21.813</td> <td> 0.000</td> <td>    1.243</td> <td>    1.489</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Kevin REYNOLDS]</th>                               <td>    1.7464</td> <td>    0.055</td> <td>   31.618</td> <td> 0.000</td> <td>    1.638</td> <td>    1.855</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Kim CHEREMSKY]</th>                                <td>   -1.0621</td> <td>    0.089</td> <td>  -11.991</td> <td> 0.000</td> <td>   -1.236</td> <td>   -0.889</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Kimberley HEW-LOW / Timothy MCKERNAN]</th>         <td>   -1.3306</td> <td>    0.072</td> <td>  -18.398</td> <td> 0.000</td> <td>   -1.472</td> <td>   -1.189</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Kirsten MOORE-TOWERS / Michael MARINARO]</th>      <td>    2.0252</td> <td>    0.057</td> <td>   35.422</td> <td> 0.000</td> <td>    1.913</td> <td>    2.137</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Kristina ASTAKHOVA / Alexei ROGONOV]</th>          <td>    2.0557</td> <td>    0.056</td> <td>   36.663</td> <td> 0.000</td> <td>    1.946</td> <td>    2.166</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Kristina SHKULETA-GROMOVA]</th>                    <td>   -0.1639</td> <td>    0.089</td> <td>   -1.850</td> <td> 0.064</td> <td>   -0.337</td> <td>    0.010</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Ksenia STOLBOVA / Fedor KLIMOV]</th>               <td>    3.2560</td> <td>    0.055</td> <td>   58.949</td> <td> 0.000</td> <td>    3.148</td> <td>    3.364</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Kyarha VAN TIEL]</th>                              <td>   -1.0232</td> <td>    0.089</td> <td>  -11.552</td> <td> 0.000</td> <td>   -1.197</td> <td>   -0.850</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Kyueun KIM / Alex Kang Chan KAM]</th>              <td>   -0.4763</td> <td>    0.066</td> <td>   -7.214</td> <td> 0.000</td> <td>   -0.606</td> <td>   -0.347</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Lana PETRANOVIC / Antonio SOUZA-KORDEIRU]</th>     <td>   -0.3617</td> <td>    0.061</td> <td>   -5.978</td> <td> 0.000</td> <td>   -0.480</td> <td>   -0.243</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Larkyn AUSTMAN]</th>                               <td>    0.4978</td> <td>    0.066</td> <td>    7.540</td> <td> 0.000</td> <td>    0.368</td> <td>    0.627</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Larry LOUPOLOVER]</th>                             <td>   -0.8288</td> <td>    0.066</td> <td>  -12.553</td> <td> 0.000</td> <td>   -0.958</td> <td>   -0.699</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Laura BARQUERO / Aritz MAESTU]</th>                <td>    0.0351</td> <td>    0.072</td> <td>    0.485</td> <td> 0.627</td> <td>   -0.107</td> <td>    0.177</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Laurence FOURNIER BEAUDRY / Nikolaj SORENSEN]</th> <td>    2.0717</td> <td>    0.055</td> <td>   37.504</td> <td> 0.000</td> <td>    1.963</td> <td>    2.180</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Laurine LECAVELIER]</th>                           <td>    1.3930</td> <td>    0.055</td> <td>   25.219</td> <td> 0.000</td> <td>    1.285</td> <td>    1.501</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Lea Johanna DASTICH]</th>                          <td>    0.0268</td> <td>    0.072</td> <td>    0.370</td> <td> 0.711</td> <td>   -0.115</td> <td>    0.169</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Leslie Man Cheuk IP]</th>                          <td>   -0.7288</td> <td>    0.063</td> <td>  -11.636</td> <td> 0.000</td> <td>   -0.852</td> <td>   -0.606</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Liam FIRUS]</th>                                   <td>    1.7833</td> <td>    0.063</td> <td>   28.474</td> <td> 0.000</td> <td>    1.661</td> <td>    1.906</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Lilah FEAR / Lewis GIBSON]</th>                    <td>    0.7423</td> <td>    0.066</td> <td>   11.243</td> <td> 0.000</td> <td>    0.613</td> <td>    0.872</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Linshu SONG / Zhuoming SUN]</th>                   <td>    0.3102</td> <td>    0.059</td> <td>    5.253</td> <td> 0.000</td> <td>    0.194</td> <td>    0.426</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Liubov ILYUSHECHKINA / Dylan MOSCOVITCH]</th>      <td>    2.2295</td> <td>    0.055</td> <td>   40.782</td> <td> 0.000</td> <td>    2.122</td> <td>    2.337</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Loena HENDRICKX]</th>                              <td>    1.1608</td> <td>    0.057</td> <td>   20.303</td> <td> 0.000</td> <td>    1.049</td> <td>    1.273</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Lola ESBRAT / Andrei NOVOSELOV]</th>               <td>    0.4171</td> <td>    0.058</td> <td>    7.193</td> <td> 0.000</td> <td>    0.303</td> <td>    0.531</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Lorenza ALESSANDRINI / Pierre SOUQUET]</th>        <td>    0.7961</td> <td>    0.061</td> <td>   13.157</td> <td> 0.000</td> <td>    0.678</td> <td>    0.915</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Lorraine MCNAMARA / Quinn CARPENTER]</th>          <td>    1.6861</td> <td>    0.063</td> <td>   26.922</td> <td> 0.000</td> <td>    1.563</td> <td>    1.809</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Lucie MYSLIVECKOVA / Lukas CSOLLEY]</th>           <td>    1.1762</td> <td>    0.059</td> <td>   19.918</td> <td> 0.000</td> <td>    1.060</td> <td>    1.292</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Madison CHOCK / Evan BATES]</th>                   <td>    3.3735</td> <td>    0.054</td> <td>   62.583</td> <td> 0.000</td> <td>    3.268</td> <td>    3.479</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Madison HUBBELL / Zachary DONOHUE]</th>            <td>    3.2448</td> <td>    0.054</td> <td>   60.195</td> <td> 0.000</td> <td>    3.139</td> <td>    3.350</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Mae Berenice MEITE]</th>                           <td>    0.8568</td> <td>    0.055</td> <td>   15.511</td> <td> 0.000</td> <td>    0.748</td> <td>    0.965</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Mai MIHARA]</th>                                   <td>    2.1433</td> <td>    0.055</td> <td>   39.205</td> <td> 0.000</td> <td>    2.036</td> <td>    2.250</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Maia SHIBUTANI / Alex SHIBUTANI]</th>              <td>    3.5901</td> <td>    0.054</td> <td>   66.602</td> <td> 0.000</td> <td>    3.484</td> <td>    3.696</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Maisy Hiu Ching MA]</th>                           <td>   -0.5260</td> <td>    0.072</td> <td>   -7.273</td> <td> 0.000</td> <td>   -0.668</td> <td>   -0.384</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Malin MALMBERG / Thomas NORDAHL]</th>              <td>   -1.7788</td> <td>    0.089</td> <td>  -20.082</td> <td> 0.000</td> <td>   -1.952</td> <td>   -1.605</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Mao ASADA]</th>                                    <td>    2.3153</td> <td>    0.063</td> <td>   36.967</td> <td> 0.000</td> <td>    2.193</td> <td>    2.438</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Mari VARTMANN / Ruben BLOMMAERT]</th>              <td>    1.3958</td> <td>    0.063</td> <td>   22.287</td> <td> 0.000</td> <td>    1.273</td> <td>    1.519</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Maria SOTSKOVA]</th>                               <td>    2.4468</td> <td>    0.054</td> <td>   45.621</td> <td> 0.000</td> <td>    2.342</td> <td>    2.552</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Mariah BELL]</th>                                  <td>    1.7438</td> <td>    0.055</td> <td>   31.571</td> <td> 0.000</td> <td>    1.636</td> <td>    1.852</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Marie-Jade LAURIAULT / Romain LE GAC]</th>         <td>    1.5195</td> <td>    0.054</td> <td>   27.912</td> <td> 0.000</td> <td>    1.413</td> <td>    1.626</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Marin HONDA]</th>                                  <td>    1.9542</td> <td>    0.063</td> <td>   31.202</td> <td> 0.000</td> <td>    1.831</td> <td>    2.077</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Mario-Rafael IONIAN]</th>                          <td>   -1.0750</td> <td>    0.089</td> <td>  -12.137</td> <td> 0.000</td> <td>   -1.249</td> <td>   -0.901</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Marissa CASTELLI / Mervin TRAN]</th>               <td>    1.6224</td> <td>    0.057</td> <td>   28.329</td> <td> 0.000</td> <td>    1.510</td> <td>    1.735</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Mark GORODNITSKY]</th>                             <td>   -0.4899</td> <td>    0.089</td> <td>   -5.531</td> <td> 0.000</td> <td>   -0.664</td> <td>   -0.316</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Mark WEBSTER]</th>                                 <td>   -0.2491</td> <td>    0.066</td> <td>   -3.773</td> <td> 0.000</td> <td>   -0.378</td> <td>   -0.120</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Matilda ALGOTSSON]</th>                            <td>    0.2453</td> <td>    0.066</td> <td>    3.715</td> <td> 0.000</td> <td>    0.116</td> <td>    0.375</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Matilda FRIEND / William BADAOUI]</th>             <td>   -1.2375</td> <td>    0.063</td> <td>  -19.759</td> <td> 0.000</td> <td>   -1.360</td> <td>   -1.115</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Matteo RIZZO]</th>                                 <td>    1.5020</td> <td>    0.061</td> <td>   24.822</td> <td> 0.000</td> <td>    1.383</td> <td>    1.621</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Maurizio ZANDRON]</th>                             <td>    0.6157</td> <td>    0.072</td> <td>    8.513</td> <td> 0.000</td> <td>    0.474</td> <td>    0.757</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Max AARON]</th>                                    <td>    2.0089</td> <td>    0.056</td> <td>   35.861</td> <td> 0.000</td> <td>    1.899</td> <td>    2.119</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Maxim KOVTUN]</th>                                 <td>    2.1198</td> <td>    0.057</td> <td>   37.496</td> <td> 0.000</td> <td>    2.009</td> <td>    2.231</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Meagan DUHAMEL / Eric RADFORD]</th>                <td>    3.0199</td> <td>    0.054</td> <td>   56.025</td> <td> 0.000</td> <td>    2.914</td> <td>    3.126</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Micah Kai LYNETTE]</th>                            <td>   -0.5066</td> <td>    0.089</td> <td>   -5.719</td> <td> 0.000</td> <td>   -0.680</td> <td>   -0.333</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Micah TANG]</th>                                   <td>   -1.1677</td> <td>    0.066</td> <td>  -17.686</td> <td> 0.000</td> <td>   -1.297</td> <td>   -1.038</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Michael Christian MARTINEZ]</th>                   <td>    0.8323</td> <td>    0.061</td> <td>   13.755</td> <td> 0.000</td> <td>    0.714</td> <td>    0.951</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Michael NEUMAN]</th>                               <td>   -0.4686</td> <td>    0.072</td> <td>   -6.479</td> <td> 0.000</td> <td>   -0.610</td> <td>   -0.327</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Michaela DU TOIT]</th>                             <td>   -1.0732</td> <td>    0.089</td> <td>  -12.117</td> <td> 0.000</td> <td>   -1.247</td> <td>   -0.900</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Michaela-Lucie HANZLIKOVA]</th>                    <td>   -0.3238</td> <td>    0.066</td> <td>   -4.905</td> <td> 0.000</td> <td>   -0.453</td> <td>   -0.194</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Michal BREZINA]</th>                               <td>    2.1982</td> <td>    0.054</td> <td>   40.528</td> <td> 0.000</td> <td>    2.092</td> <td>    2.305</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Michelle LONG]</th>                                <td>    0.7472</td> <td>    0.072</td> <td>   10.332</td> <td> 0.000</td> <td>    0.605</td> <td>    0.889</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Micol CRISTINI]</th>                               <td>    0.1907</td> <td>    0.072</td> <td>    2.636</td> <td> 0.008</td> <td>    0.049</td> <td>    0.332</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Mikhail KOLYADA]</th>                              <td>    2.8387</td> <td>    0.054</td> <td>   52.661</td> <td> 0.000</td> <td>    2.733</td> <td>    2.944</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Minerva Fabienne HASE / Nolan SEEGERT]</th>        <td>    0.1534</td> <td>    0.066</td> <td>    2.323</td> <td> 0.020</td> <td>    0.024</td> <td>    0.283</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Mingyang ZHANG / Bowen SONG]</th>                  <td>   -0.0361</td> <td>    0.072</td> <td>   -0.499</td> <td> 0.618</td> <td>   -0.178</td> <td>    0.106</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Minji JI / Themistocles LEFTHERIS]</th>            <td>   -0.5861</td> <td>    0.072</td> <td>   -8.104</td> <td> 0.000</td> <td>   -0.728</td> <td>   -0.444</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Mirai NAGASU]</th>                                 <td>    1.8611</td> <td>    0.055</td> <td>   33.694</td> <td> 0.000</td> <td>    1.753</td> <td>    1.969</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Miriam ZIEGLER / Severin KIEFER]</th>              <td>    1.0924</td> <td>    0.055</td> <td>   19.983</td> <td> 0.000</td> <td>    0.985</td> <td>    1.200</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Misato KOMATSUBARA / Tim KOLETO]</th>              <td>    0.6653</td> <td>    0.063</td> <td>   10.622</td> <td> 0.000</td> <td>    0.543</td> <td>    0.788</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Misha GE]</th>                                     <td>    2.4066</td> <td>    0.054</td> <td>   44.369</td> <td> 0.000</td> <td>    2.300</td> <td>    2.513</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Miu SUZAKI / Ryuichi KIHARA]</th>                  <td>    0.1372</td> <td>    0.058</td> <td>    2.365</td> <td> 0.018</td> <td>    0.024</td> <td>    0.251</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Morisi KVITELASHVILI]</th>                         <td>    1.5975</td> <td>    0.055</td> <td>   28.921</td> <td> 0.000</td> <td>    1.489</td> <td>    1.706</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Nahyun KIM]</th>                                   <td>    0.7348</td> <td>    0.066</td> <td>   11.131</td> <td> 0.000</td> <td>    0.605</td> <td>    0.864</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Nam NGUYEN]</th>                                   <td>    1.6542</td> <td>    0.055</td> <td>   29.948</td> <td> 0.000</td> <td>    1.546</td> <td>    1.762</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Natalia KALISZEK / Maksym SPODYRIEV]</th>          <td>    1.7607</td> <td>    0.054</td> <td>   32.462</td> <td> 0.000</td> <td>    1.654</td> <td>    1.867</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Natalia ZABIIAKO / Alexander ENBERT]</th>          <td>    2.3578</td> <td>    0.054</td> <td>   43.741</td> <td> 0.000</td> <td>    2.252</td> <td>    2.463</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Natalie KLOTZ]</th>                                <td>   -0.8528</td> <td>    0.089</td> <td>   -9.628</td> <td> 0.000</td> <td>   -1.026</td> <td>   -0.679</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Natalie SANGKAGALO]</th>                           <td>   -1.6232</td> <td>    0.072</td> <td>  -22.445</td> <td> 0.000</td> <td>   -1.765</td> <td>   -1.481</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Natasha MCKAY]</th>                                <td>    0.0689</td> <td>    0.063</td> <td>    1.101</td> <td> 0.271</td> <td>   -0.054</td> <td>    0.192</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Nathalie WEINZIERL]</th>                           <td>    0.5295</td> <td>    0.072</td> <td>    7.322</td> <td> 0.000</td> <td>    0.388</td> <td>    0.671</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Nathan CHEN]</th>                                  <td>    2.8373</td> <td>    0.054</td> <td>   52.637</td> <td> 0.000</td> <td>    2.732</td> <td>    2.943</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Nicholas VRDOLJAK]</th>                            <td>   -0.6158</td> <td>    0.066</td> <td>   -9.328</td> <td> 0.000</td> <td>   -0.745</td> <td>   -0.486</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Nicky OBREYKOV]</th>                               <td>   -0.7343</td> <td>    0.072</td> <td>  -10.154</td> <td> 0.000</td> <td>   -0.876</td> <td>   -0.593</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Nicolas NADEAU]</th>                               <td>    1.8361</td> <td>    0.072</td> <td>   25.389</td> <td> 0.000</td> <td>    1.694</td> <td>    1.978</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Nicole DELLA MONICA / Matteo GUARISE]</th>         <td>    2.0621</td> <td>    0.054</td> <td>   38.019</td> <td> 0.000</td> <td>    1.956</td> <td>    2.168</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Nicole KUZMICHOVA / Alexandr SINICYN]</th>         <td>    0.6972</td> <td>    0.063</td> <td>   11.132</td> <td> 0.000</td> <td>    0.574</td> <td>    0.820</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Nicole RAJICOVA]</th>                              <td>    1.2427</td> <td>    0.054</td> <td>   22.911</td> <td> 0.000</td> <td>    1.136</td> <td>    1.349</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Nicole SCHOTT]</th>                                <td>    1.1086</td> <td>    0.055</td> <td>   20.069</td> <td> 0.000</td> <td>    1.000</td> <td>    1.217</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Olga JAKUSHINA / Andrey NEVSKIY]</th>              <td>    0.3879</td> <td>    0.072</td> <td>    5.363</td> <td> 0.000</td> <td>    0.246</td> <td>    0.530</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Olivia SMART / Adria DIAZ]</th>                    <td>    1.7403</td> <td>    0.063</td> <td>   27.786</td> <td> 0.000</td> <td>    1.618</td> <td>    1.863</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Paige CONNERS / Evgeni KRASNOPOLSKI]</th>          <td>    0.5497</td> <td>    0.066</td> <td>    8.326</td> <td> 0.000</td> <td>    0.420</td> <td>    0.679</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Patrick CHAN]</th>                                 <td>    3.5058</td> <td>    0.055</td> <td>   64.128</td> <td> 0.000</td> <td>    3.399</td> <td>    3.613</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Paul FENTZ]</th>                                   <td>    1.2811</td> <td>    0.056</td> <td>   22.868</td> <td> 0.000</td> <td>    1.171</td> <td>    1.391</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Penny COOMES / Nicholas BUCKLAND]</th>             <td>    2.6419</td> <td>    0.059</td> <td>   44.740</td> <td> 0.000</td> <td>    2.526</td> <td>    2.758</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Pernille SORENSEN]</th>                            <td>   -0.6982</td> <td>    0.072</td> <td>   -9.655</td> <td> 0.000</td> <td>   -0.840</td> <td>   -0.556</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Phillip HARRIS]</th>                               <td>    0.9620</td> <td>    0.072</td> <td>   13.302</td> <td> 0.000</td> <td>    0.820</td> <td>    1.104</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Piper GILLES / Paul POIRIER]</th>                  <td>    2.9468</td> <td>    0.055</td> <td>   53.904</td> <td> 0.000</td> <td>    2.840</td> <td>    3.054</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Polina EDMUNDS]</th>                               <td>    1.2750</td> <td>    0.072</td> <td>   17.630</td> <td> 0.000</td> <td>    1.133</td> <td>    1.417</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Polina TSURSKAYA]</th>                             <td>    2.2222</td> <td>    0.063</td> <td>   35.481</td> <td> 0.000</td> <td>    2.099</td> <td>    2.345</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Presiyana DIMITROVA]</th>                          <td>   -1.7732</td> <td>    0.089</td> <td>  -20.020</td> <td> 0.000</td> <td>   -1.947</td> <td>   -1.600</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Rachel PARSONS / Michael PARSONS]</th>             <td>    1.7519</td> <td>    0.059</td> <td>   29.668</td> <td> 0.000</td> <td>    1.636</td> <td>    1.868</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Rebecca GHILARDI / Filippo AMBROSINI]</th>         <td>   -0.1750</td> <td>    0.072</td> <td>   -2.420</td> <td> 0.016</td> <td>   -0.317</td> <td>   -0.033</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Rika HONGO]</th>                                   <td>    1.8125</td> <td>    0.055</td> <td>   32.814</td> <td> 0.000</td> <td>    1.704</td> <td>    1.921</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Rikako FUKASE / Aru TATENO]</th>                   <td>   -0.1639</td> <td>    0.072</td> <td>   -2.266</td> <td> 0.023</td> <td>   -0.306</td> <td>   -0.022</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Riku MIURA / Shoya ICHIHASHI]</th>                 <td>   -0.6278</td> <td>    0.072</td> <td>   -8.681</td> <td> 0.000</td> <td>   -0.770</td> <td>   -0.486</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Roberta RODEGHIERO]</th>                           <td>    1.0447</td> <td>    0.059</td> <td>   17.693</td> <td> 0.000</td> <td>    0.929</td> <td>    1.160</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Robynne TWEEDALE / Joseph BUCKLAND]</th>           <td>    0.1417</td> <td>    0.089</td> <td>    1.599</td> <td> 0.110</td> <td>   -0.032</td> <td>    0.315</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Romain PONSART]</th>                               <td>    0.8977</td> <td>    0.063</td> <td>   14.333</td> <td> 0.000</td> <td>    0.775</td> <td>    1.020</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Roman SADOVSKY]</th>                               <td>    1.3306</td> <td>    0.072</td> <td>   18.398</td> <td> 0.000</td> <td>    1.189</td> <td>    1.472</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Ross MINER]</th>                                   <td>    1.8602</td> <td>    0.059</td> <td>   31.503</td> <td> 0.000</td> <td>    1.744</td> <td>    1.976</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Ryuju HINO]</th>                                   <td>    1.1806</td> <td>    0.072</td> <td>   16.324</td> <td> 0.000</td> <td>    1.039</td> <td>    1.322</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Sara HURTADO / Kirill KHALIAVIN]</th>              <td>    2.0046</td> <td>    0.059</td> <td>   33.948</td> <td> 0.000</td> <td>    1.889</td> <td>    2.120</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Sarah ARNOLD / Thomas WILLIAMS]</th>               <td>    0.9833</td> <td>    0.072</td> <td>   13.597</td> <td> 0.000</td> <td>    0.842</td> <td>    1.125</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Satoko MIYAHARA]</th>                              <td>    2.9123</td> <td>    0.054</td> <td>   53.693</td> <td> 0.000</td> <td>    2.806</td> <td>    3.019</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Serafima SAKHANOVICH]</th>                         <td>    1.4083</td> <td>    0.063</td> <td>   22.486</td> <td> 0.000</td> <td>    1.286</td> <td>    1.531</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Sergei VORONOV]</th>                               <td>    2.4478</td> <td>    0.056</td> <td>   43.696</td> <td> 0.000</td> <td>    2.338</td> <td>    2.558</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Shiyue WANG / Xinyu LIU]</th>                      <td>    1.5131</td> <td>    0.054</td> <td>   27.794</td> <td> 0.000</td> <td>    1.406</td> <td>    1.620</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Shoma UNO]</th>                                    <td>    3.3702</td> <td>    0.054</td> <td>   62.837</td> <td> 0.000</td> <td>    3.265</td> <td>    3.475</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Shuran YU]</th>                                    <td>   -0.4566</td> <td>    0.066</td> <td>   -6.916</td> <td> 0.000</td> <td>   -0.586</td> <td>   -0.327</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Sihyeong LEE]</th>                                 <td>    0.4639</td> <td>    0.063</td> <td>    7.407</td> <td> 0.000</td> <td>    0.341</td> <td>    0.587</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Sila SAYGI]</th>                                   <td>   -0.5250</td> <td>    0.089</td> <td>   -5.927</td> <td> 0.000</td> <td>   -0.699</td> <td>   -0.351</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Silvia HUGEC]</th>                                 <td>   -0.7093</td> <td>    0.072</td> <td>   -9.808</td> <td> 0.000</td> <td>   -0.851</td> <td>   -0.568</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Slavik HAYRAPETYAN]</th>                           <td>    0.1168</td> <td>    0.061</td> <td>    1.930</td> <td> 0.054</td> <td>   -0.002</td> <td>    0.235</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.So Youn PARK]</th>                                 <td>    1.4236</td> <td>    0.063</td> <td>   22.730</td> <td> 0.000</td> <td>    1.301</td> <td>    1.546</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Sofia EVDOKIMOVA / Egor BAZIN]</th>                <td>    0.8472</td> <td>    0.072</td> <td>   11.715</td> <td> 0.000</td> <td>    0.705</td> <td>    0.989</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Sofiya KARAGODINA / Semyon STEPANOV]</th>          <td>   -0.8760</td> <td>    0.072</td> <td>  -12.113</td> <td> 0.000</td> <td>   -1.018</td> <td>   -0.734</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Sondre ODDVOLL BOE]</th>                           <td>    0.2694</td> <td>    0.063</td> <td>    4.302</td> <td> 0.000</td> <td>    0.147</td> <td>    0.392</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Soyoun PARK]</th>                                  <td>    0.8944</td> <td>    0.063</td> <td>   14.281</td> <td> 0.000</td> <td>    0.772</td> <td>    1.017</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Starr ANDREWS]</th>                                <td>    0.8972</td> <td>    0.072</td> <td>   12.406</td> <td> 0.000</td> <td>    0.755</td> <td>    1.039</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Stephane WALKER]</th>                              <td>    0.7824</td> <td>    0.061</td> <td>   12.930</td> <td> 0.000</td> <td>    0.664</td> <td>    0.901</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Su Yeon KIM / Hyungtae KIM]</th>                   <td>   -0.5056</td> <td>    0.072</td> <td>   -6.991</td> <td> 0.000</td> <td>   -0.647</td> <td>   -0.364</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Suh Hyun SON]</th>                                 <td>   -0.6649</td> <td>    0.072</td> <td>   -9.194</td> <td> 0.000</td> <td>   -0.807</td> <td>   -0.523</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Sumire SUTO / Francis BOUDREAU-AUDET]</th>         <td>    0.6688</td> <td>    0.057</td> <td>   11.830</td> <td> 0.000</td> <td>    0.558</td> <td>    0.780</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Sydney KOLODZIEJ / Maxime DESCHAMPS]</th>          <td>    0.6917</td> <td>    0.063</td> <td>   11.044</td> <td> 0.000</td> <td>    0.569</td> <td>    0.814</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Tae Ok RYOM / Ju Sik KIM]</th>                     <td>    1.5268</td> <td>    0.059</td> <td>   25.855</td> <td> 0.000</td> <td>    1.411</td> <td>    1.643</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Takahito MURA]</th>                                <td>    1.9767</td> <td>    0.056</td> <td>   35.286</td> <td> 0.000</td> <td>    1.867</td> <td>    2.086</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Tarah KAYNE / Daniel O SHEA]</th>                  <td>    1.6405</td> <td>    0.059</td> <td>   27.717</td> <td> 0.000</td> <td>    1.524</td> <td>    1.756</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Tatiana DANILOVA / Mikalai KAMIANCHUK]</th>        <td>    0.0077</td> <td>    0.066</td> <td>    0.116</td> <td> 0.908</td> <td>   -0.122</td> <td>    0.137</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Tatiana KOZMAVA / Alexei SHUMSKI]</th>             <td>   -0.2399</td> <td>    0.072</td> <td>   -3.317</td> <td> 0.001</td> <td>   -0.382</td> <td>   -0.098</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Taylor TRAN / Saulius AMBRULEVICIUS]</th>          <td>    0.3045</td> <td>    0.066</td> <td>    4.613</td> <td> 0.000</td> <td>    0.175</td> <td>    0.434</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Teodora MARKOVA / Simon DAZE]</th>                 <td>   -1.0510</td> <td>    0.089</td> <td>  -11.866</td> <td> 0.000</td> <td>   -1.225</td> <td>   -0.877</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Tessa VIRTUE / Scott MOIR]</th>                    <td>    3.9157</td> <td>    0.054</td> <td>   72.643</td> <td> 0.000</td> <td>    3.810</td> <td>    4.021</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Thita LAMSAM]</th>                                 <td>   -1.5593</td> <td>    0.072</td> <td>  -21.561</td> <td> 0.000</td> <td>   -1.701</td> <td>   -1.418</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Thomas KENNES]</th>                                <td>   -0.3871</td> <td>    0.072</td> <td>   -5.353</td> <td> 0.000</td> <td>   -0.529</td> <td>   -0.245</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Tiffani ZAGORSKI / Jonathan GUERREIRO]</th>        <td>    2.2806</td> <td>    0.056</td> <td>   40.711</td> <td> 0.000</td> <td>    2.171</td> <td>    2.390</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Timothy DOLENSKY]</th>                             <td>    1.7750</td> <td>    0.072</td> <td>   24.544</td> <td> 0.000</td> <td>    1.633</td> <td>    1.917</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Tina GARABEDIAN / Simon PROULX-SENECAL]</th>       <td>    0.6623</td> <td>    0.061</td> <td>   10.946</td> <td> 0.000</td> <td>    0.544</td> <td>    0.781</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Valentina MARCHEI / Ondrej HOTAREK]</th>           <td>    2.1559</td> <td>    0.054</td> <td>   39.732</td> <td> 0.000</td> <td>    2.050</td> <td>    2.262</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Valentina MATOS]</th>                              <td>   -1.1130</td> <td>    0.072</td> <td>  -15.390</td> <td> 0.000</td> <td>   -1.255</td> <td>   -0.971</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Valeriia MIKHAILOVA]</th>                          <td>    1.4861</td> <td>    0.072</td> <td>   20.549</td> <td> 0.000</td> <td>    1.344</td> <td>    1.628</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Valtter VIRTANEN]</th>                             <td>    0.2142</td> <td>    0.061</td> <td>    3.540</td> <td> 0.000</td> <td>    0.096</td> <td>    0.333</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Vanessa JAMES / Morgan CIPRES]</th>                <td>    2.7134</td> <td>    0.054</td> <td>   50.006</td> <td> 0.000</td> <td>    2.607</td> <td>    2.820</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Vavara OGLOBLINA / Mikhail ZHIRNOV]</th>           <td>    0.1545</td> <td>    0.089</td> <td>    1.745</td> <td> 0.081</td> <td>   -0.019</td> <td>    0.328</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Victoria MANNI / Carlo ROTHLISBERGER]</th>         <td>   -0.0630</td> <td>    0.072</td> <td>   -0.871</td> <td> 0.384</td> <td>   -0.205</td> <td>    0.079</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Victoria SINITSINA / Nikita KATSALAPOV]</th>       <td>    2.8737</td> <td>    0.056</td> <td>   51.299</td> <td> 0.000</td> <td>    2.764</td> <td>    2.983</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Viktoria KAVALIOVA / Yurii BIELIAIEV]</th>         <td>    0.6451</td> <td>    0.057</td> <td>   11.411</td> <td> 0.000</td> <td>    0.534</td> <td>    0.756</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Vincent ZHOU]</th>                                 <td>    1.6225</td> <td>    0.059</td> <td>   27.478</td> <td> 0.000</td> <td>    1.507</td> <td>    1.738</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Viveca LINDFORS]</th>                              <td>    0.1574</td> <td>    0.063</td> <td>    2.513</td> <td> 0.012</td> <td>    0.035</td> <td>    0.280</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Wakaba HIGUCHI]</th>                               <td>    2.1911</td> <td>    0.055</td> <td>   40.080</td> <td> 0.000</td> <td>    2.084</td> <td>    2.298</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Wenjing SUI / Cong HAN]</th>                       <td>    3.6366</td> <td>    0.055</td> <td>   65.838</td> <td> 0.000</td> <td>    3.528</td> <td>    3.745</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Xiangning LI]</th>                                 <td>    0.7721</td> <td>    0.055</td> <td>   14.123</td> <td> 0.000</td> <td>    0.665</td> <td>    0.879</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Xiaotong WANG / Kaige ZHAO]</th>                   <td>   -0.6250</td> <td>    0.072</td> <td>   -8.642</td> <td> 0.000</td> <td>   -0.767</td> <td>   -0.483</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Xiaoyu YU / Hao ZHANG]</th>                        <td>    2.5657</td> <td>    0.054</td> <td>   47.599</td> <td> 0.000</td> <td>    2.460</td> <td>    2.671</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Xuehan WANG / Lei WANG]</th>                       <td>    1.8375</td> <td>    0.063</td> <td>   29.339</td> <td> 0.000</td> <td>    1.715</td> <td>    1.960</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Yakau ZENKO]</th>                                  <td>   -0.7288</td> <td>    0.089</td> <td>   -8.228</td> <td> 0.000</td> <td>   -0.902</td> <td>   -0.555</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Yaroslav PANIOT]</th>                              <td>    0.3295</td> <td>    0.072</td> <td>    4.557</td> <td> 0.000</td> <td>    0.188</td> <td>    0.471</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Yasmine Kimiko YAMADA]</th>                        <td>   -0.4769</td> <td>    0.072</td> <td>   -6.594</td> <td> 0.000</td> <td>   -0.619</td> <td>   -0.335</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Yuka NAGAI]</th>                                   <td>    1.1069</td> <td>    0.063</td> <td>   17.674</td> <td> 0.000</td> <td>    0.984</td> <td>    1.230</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Yuko KAVAGUTI / Alexander SMIRNOV]</th>            <td>    2.1431</td> <td>    0.063</td> <td>   34.217</td> <td> 0.000</td> <td>    2.020</td> <td>    2.266</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Yuna SHIRAIWA]</th>                                <td>    1.7403</td> <td>    0.063</td> <td>   27.786</td> <td> 0.000</td> <td>    1.618</td> <td>    1.863</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Yura MATSUDA]</th>                                 <td>    1.6542</td> <td>    0.063</td> <td>   26.412</td> <td> 0.000</td> <td>    1.531</td> <td>    1.777</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Yura MIN / Alexander GAMELIN]</th>                 <td>    1.1551</td> <td>    0.056</td> <td>   20.621</td> <td> 0.000</td> <td>    1.045</td> <td>    1.265</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Yuzuru HANYU]</th>                                 <td>    3.6296</td> <td>    0.055</td> <td>   66.393</td> <td> 0.000</td> <td>    3.522</td> <td>    3.737</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Zijun LI]</th>                                     <td>    1.3442</td> <td>    0.057</td> <td>   23.511</td> <td> 0.000</td> <td>    1.232</td> <td>    1.456</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Ziquan ZHAO]</th>                                  <td>    0.3688</td> <td>    0.057</td> <td>    6.450</td> <td> 0.000</td> <td>    0.257</td> <td>    0.481</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>skater[T.Zoe JONES / Christopher BOYADJI]</th>              <td>   -0.1210</td> <td>    0.061</td> <td>   -2.000</td> <td> 0.046</td> <td>   -0.240</td> <td>   -0.002</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>same_country</th>                                           <td>    0.2659</td> <td>    0.006</td> <td>   46.715</td> <td> 0.000</td> <td>    0.255</td> <td>    0.277</td>\n",
       "</tr>\n",
       "</table>\n",
       "<table class=\"simpletable\">\n",
       "<tr>\n",
       "  <th>Omnibus:</th>       <td>3466.636</td> <th>  Durbin-Watson:     </th> <td>   1.357</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Prob(Omnibus):</th>  <td> 0.000</td>  <th>  Jarque-Bera (JB):  </th> <td>5615.307</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Skew:</th>           <td>-0.325</td>  <th>  Prob(JB):          </th> <td>    0.00</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Kurtosis:</th>       <td> 3.978</td>  <th>  Cond. No.          </th> <td>    614.</td>\n",
       "</tr>\n",
       "</table>"
      ],
      "text/plain": [
       "<class 'statsmodels.iolib.summary.Summary'>\n",
       "\"\"\"\n",
       "                            OLS Regression Results                            \n",
       "==============================================================================\n",
       "Dep. Variable:            judge_score   R-squared:                       0.857\n",
       "Model:                            OLS   Adj. R-squared:                  0.857\n",
       "Method:                 Least Squares   F-statistic:                     1703.\n",
       "Date:                Thu, 22 Mar 2018   Prob (F-statistic):               0.00\n",
       "Time:                        23:56:27   Log-Likelihood:                -67755.\n",
       "No. Observations:               97651   AIC:                         1.362e+05\n",
       "Df Residuals:                   97307   BIC:                         1.395e+05\n",
       "Df Model:                         343                                         \n",
       "Covariance Type:            nonrobust                                         \n",
       "==========================================================================================================================\n",
       "                                                             coef    std err          t      P>|t|      [0.025      0.975]\n",
       "--------------------------------------------------------------------------------------------------------------------------\n",
       "Intercept                                                  5.6955      0.051    111.367      0.000       5.595       5.796\n",
       "skater[T.Adam RIPPON]                                      2.8906      0.055     52.875      0.000       2.783       2.998\n",
       "skater[T.Adel TANKOVA / Ronald ZILBERBERG]                -0.3553      0.066     -5.382      0.000      -0.485      -0.226\n",
       "skater[T.Adele MORRISON / Demid ROKACHEV]                 -1.3500      0.072    -18.667      0.000      -1.492      -1.208\n",
       "skater[T.Aimee BUCHANAN]                                  -1.1510      0.072    -15.915      0.000      -1.293      -1.009\n",
       "skater[T.Aiza MAMBEKOVA]                                  -0.2454      0.066     -3.717      0.000      -0.375      -0.116\n",
       "skater[T.Alaine CHARTRAND]                                 1.3569      0.055     24.567      0.000       1.249       1.465\n",
       "skater[T.Alena LEONOVA]                                    1.6093      0.059     27.253      0.000       1.494       1.725\n",
       "skater[T.Alexa SCIMECA KNIERIM / Chris KNIERIM]            2.1070      0.056     37.613      0.000       1.997       2.217\n",
       "skater[T.Alexander BOROVOJ]                               -0.6399      0.089     -7.224      0.000      -0.814      -0.466\n",
       "skater[T.Alexander MAJOROV]                                1.3357      0.056     23.844      0.000       1.226       1.446\n",
       "skater[T.Alexander MASZLJANKO]                            -0.4232      0.089     -4.778      0.000      -0.597      -0.250\n",
       "skater[T.Alexander PETROV]                                 1.4972      0.059     25.356      0.000       1.381       1.613\n",
       "skater[T.Alexander SAMARIN]                                2.0333      0.057     35.563      0.000       1.921       2.145\n",
       "skater[T.Alexandra NAZAROVA / Maxim NIKITIN]               1.8504      0.056     33.285      0.000       1.741       1.959\n",
       "skater[T.Alexandra PAUL / Mitchell ISLAM]                  1.6417      0.072     22.700      0.000       1.500       1.783\n",
       "skater[T.Alexandra STEPANOVA / Ivan BUKIN]                 2.9963      0.055     54.808      0.000       2.889       3.103\n",
       "skater[T.Alexei BYCHENKO]                                  2.1994      0.054     40.549      0.000       2.093       2.306\n",
       "skater[T.Alexia PAGANINI]                                  0.4860      0.063      7.760      0.000       0.363       0.609\n",
       "skater[T.Alicia PINEAULT]                                  0.6278      0.072      8.681      0.000       0.486       0.770\n",
       "skater[T.Alina ZAGITOVA]                                   3.0507      0.056     54.459      0.000       2.941       3.161\n",
       "skater[T.Alisa AGAFONOVA / Alper UCAR]                     1.5169      0.054     27.966      0.000       1.411       1.623\n",
       "skater[T.Alisa EFIMOVA / Alexander KOROVIN]                1.0139      0.072     14.020      0.000       0.872       1.156\n",
       "skater[T.Aljona SAVCHENKO / Bruno MASSOT]                  3.4690      0.054     63.956      0.000       3.363       3.575\n",
       "skater[T.Alla LOBODA / Pavel DROZD]                        1.8403      0.063     29.383      0.000       1.718       1.963\n",
       "skater[T.Amber GLENN]                                      1.1167      0.072     15.441      0.000       0.975       1.258\n",
       "skater[T.Amy LIN]                                          0.1172      0.061      1.936      0.053      -0.001       0.236\n",
       "skater[T.Anastasia CANNUSCIO / Colin MCMANUS]              1.1917      0.063     19.027      0.000       1.069       1.314\n",
       "skater[T.Anastasia GALUSTYAN]                              0.8640      0.056     15.422      0.000       0.754       0.974\n",
       "skater[T.Anastasia GALYETA / Avidan BROWN]                -0.0788      0.089     -0.890      0.374      -0.252       0.095\n",
       "skater[T.Andrei LAZUKIN]                                   1.4556      0.072     20.127      0.000       1.314       1.597\n",
       "skater[T.Andrew DODDS]                                     0.5472      0.063      8.737      0.000       0.424       0.670\n",
       "skater[T.Angela WANG]                                      1.2472      0.072     17.246      0.000       1.105       1.389\n",
       "skater[T.Angelina KUCHVALSKA]                              0.6893      0.057     12.057      0.000       0.577       0.801\n",
       "skater[T.Angelique ABACHKINA / Louis THAURON]              1.5327      0.059     25.957      0.000       1.417       1.648\n",
       "skater[T.Anita OSTLUND]                                    0.3045      0.066      4.613      0.000       0.175       0.434\n",
       "skater[T.Anna CAPPELLINI / Luca LANOTTE]                   3.3699      0.054     62.517      0.000       3.264       3.476\n",
       "skater[T.Anna DUSKOVA / Martin BIDAR]                      1.3552      0.059     22.949      0.000       1.239       1.471\n",
       "skater[T.Anna KHNYCHENKOVA]                               -0.2189      0.059     -3.707      0.000      -0.335      -0.103\n",
       "skater[T.Anna POGORILAYA]                                  2.7177      0.055     49.203      0.000       2.609       2.826\n",
       "skater[T.Anna YANOVSKAYA / Adam LUKACS]                    1.4333      0.072     19.819      0.000       1.292       1.575\n",
       "skater[T.Anne Line GJERSEM]                               -0.2324      0.061     -3.841      0.000      -0.351      -0.114\n",
       "skater[T.Annika HOCKE / Ruben BLOMMAERT]                   1.1370      0.063     18.154      0.000       1.014       1.260\n",
       "skater[T.Anton KARPUK]                                    -0.7306      0.089     -8.248      0.000      -0.904      -0.557\n",
       "skater[T.Antonina DUBININA]                               -1.2260      0.072    -16.952      0.000      -1.368      -1.084\n",
       "skater[T.Arina CHERNIAVSKAIA / Evgeni KRASNOPOLSKI]       -0.5908      0.072     -8.169      0.000      -0.733      -0.449\n",
       "skater[T.Artur DMITRIEV]                                   1.3556      0.063     21.644      0.000       1.233       1.478\n",
       "skater[T.Ashley CAIN / Timothy LEDUC]                      1.3204      0.059     22.361      0.000       1.205       1.436\n",
       "skater[T.Ashley WAGNER]                                    2.7643      0.057     48.895      0.000       2.653       2.875\n",
       "skater[T.Aurelija IPOLITO / Malcolm JONES]                -1.5955      0.089    -18.013      0.000      -1.769      -1.422\n",
       "skater[T.Betina POPOVA / Sergey MOZGOV]                    1.9639      0.072     27.156      0.000       1.822       2.106\n",
       "skater[T.Birce ATABEY]                                    -1.4139      0.089    -15.963      0.000      -1.587      -1.240\n",
       "skater[T.Boyang JIN]                                       2.3962      0.054     44.178      0.000       2.290       2.502\n",
       "skater[T.Bradie TENNELL]                                   1.9194      0.063     30.647      0.000       1.797       2.042\n",
       "skater[T.Brendan KERRY]                                    1.4524      0.055     26.567      0.000       1.345       1.560\n",
       "skater[T.Brittany JONES / Joshua REAGAN]                   0.6833      0.072      9.449      0.000       0.542       0.825\n",
       "skater[T.Brooklee HAN]                                     0.5278      0.063      8.427      0.000       0.405       0.651\n",
       "skater[T.Burak DEMIRBOGA]                                 -0.2528      0.072     -3.495      0.000      -0.395      -0.111\n",
       "skater[T.Camille RUEST / Andrew WOLFE]                     1.0220      0.063     16.303      0.000       0.899       1.145\n",
       "skater[T.Carolane SOUCISSE / Shane FIRUS]                  1.8278      0.063     29.183      0.000       1.705       1.951\n",
       "skater[T.Carolina KOSTNER]                                 3.5160      0.055     64.313      0.000       3.409       3.623\n",
       "skater[T.Cecilia TORN / Jussiville PARTANEN]               1.0565      0.058     18.220      0.000       0.943       1.170\n",
       "skater[T.Chafik BESSEGHIER]                                1.4362      0.056     25.829      0.000       1.327       1.545\n",
       "skater[T.Chantelle KERRY / Andrew DODDS]                  -0.5806      0.072     -8.028      0.000      -0.722      -0.439\n",
       "skater[T.Charlene GUIGNARD / Marco FABBRI]                 2.6752      0.054     49.322      0.000       2.569       2.782\n",
       "skater[T.Cheng PENG / Yang JIN]                            1.9887      0.055     36.203      0.000       1.881       2.096\n",
       "skater[T.Chih-I TSAO]                                      0.2990      0.061      4.941      0.000       0.180       0.418\n",
       "skater[T.Chloe ING]                                       -0.2107      0.063     -3.365      0.001      -0.333      -0.088\n",
       "skater[T.Colette Coco KAMINSKI]                           -1.1510      0.089    -12.995      0.000      -1.325      -0.977\n",
       "skater[T.Conor STAKELUM]                                  -1.1955      0.089    -13.497      0.000      -1.369      -1.022\n",
       "skater[T.Cortney MANSOUROVA / Michal CESKA]                0.8241      0.063     13.157      0.000       0.701       0.947\n",
       "skater[T.Courtney HICKS]                                   1.5241      0.059     25.810      0.000       1.408       1.640\n",
       "skater[T.Dabin CHOI]                                       1.1959      0.055     21.875      0.000       1.089       1.303\n",
       "skater[T.Daniel Albert NAURITS]                            0.2495      0.063      3.983      0.000       0.127       0.372\n",
       "skater[T.Daniel SAMOHIN]                                   1.7770      0.056     31.965      0.000       1.668       1.886\n",
       "skater[T.Daria BEKLEMISHEVA / Mark MAGYAR]                -0.2455      0.089     -2.771      0.006      -0.419      -0.072\n",
       "skater[T.Darya POPOVA / Volodymyr BYELIKOV]               -0.1694      0.089     -1.913      0.056      -0.343       0.004\n",
       "skater[T.Dasa GRM]                                        -0.0871      0.063     -1.391      0.164      -0.210       0.036\n",
       "skater[T.Davide LEWTON BRAIN]                             -0.3343      0.089     -3.775      0.000      -0.508      -0.161\n",
       "skater[T.Deanna STELLATO / Nathan BARTHOLOMAY]             1.0917      0.063     17.430      0.000       0.969       1.214\n",
       "skater[T.Denis TEN]                                        2.5209      0.056     45.347      0.000       2.412       2.630\n",
       "skater[T.Deniss VASILJEVS]                                 2.0691      0.054     38.146      0.000       1.963       2.175\n",
       "skater[T.Diana NIKITINA]                                   0.0342      0.072      0.473      0.636      -0.108       0.176\n",
       "skater[T.Dmitri ALIEV]                                     2.5199      0.057     44.074      0.000       2.408       2.632\n",
       "skater[T.Donovan CARRILLO]                                 0.0045      0.072      0.063      0.950      -0.137       0.146\n",
       "skater[T.Ekaterina ALEXANDROVSKAYA / Harley WINDSOR]       0.6636      0.058     11.444      0.000       0.550       0.777\n",
       "skater[T.Ekaterina BOBROVA / Dmitri SOLOVIEV]              3.4629      0.054     64.241      0.000       3.357       3.569\n",
       "skater[T.Elena ILINYKH / Ruslan ZHIGANSHIN]                2.8042      0.063     44.773      0.000       2.681       2.927\n",
       "skater[T.Elena RADIONOVA]                                  2.7261      0.056     48.665      0.000       2.616       2.836\n",
       "skater[T.Eliska BREZINOVA]                                -0.0066      0.072     -0.091      0.928      -0.148       0.135\n",
       "skater[T.Elizabet TURSYNBAEVA]                             1.7574      0.054     32.400      0.000       1.651       1.864\n",
       "skater[T.Elizaveta TUKTAMYSHEVA]                           1.9653      0.057     34.374      0.000       1.853       2.077\n",
       "skater[T.Elladj BALDE]                                     1.8370      0.059     31.111      0.000       1.721       1.953\n",
       "skater[T.Elliana POGREBINSKY / Alex BENOIT]                1.6097      0.057     28.155      0.000       1.498       1.722\n",
       "skater[T.Elzbieta GABRYSZAK]                              -1.0121      0.089    -11.427      0.000      -1.186      -0.839\n",
       "skater[T.Elzbieta KROPA]                                  -0.8584      0.066    -13.002      0.000      -0.988      -0.729\n",
       "skater[T.Emi HIRAI / Marien DE LA ASUNCION]                0.0792      0.063      1.264      0.206      -0.044       0.202\n",
       "skater[T.Emilia SIMONEN / Matthew PENASSE]                -0.7010      0.089     -7.914      0.000      -0.875      -0.527\n",
       "skater[T.Emmi PELTONEN]                                    1.0284      0.058     17.735      0.000       0.915       1.142\n",
       "skater[T.Engin Ali ARTAN]                                 -1.1861      0.089    -13.391      0.000      -1.360      -1.013\n",
       "skater[T.Evgenia MEDVEDEVA]                                3.6107      0.054     66.983      0.000       3.505       3.716\n",
       "skater[T.Evgenia TARASOVA / Vladimir MOROZOV]              3.1989      0.054     59.629      0.000       3.094       3.304\n",
       "skater[T.Felipe MONTOYA]                                   0.6188      0.066      9.372      0.000       0.489       0.748\n",
       "skater[T.Fruzsina MEDGYESI]                               -0.3639      0.089     -4.108      0.000      -0.537      -0.190\n",
       "skater[T.Gabriella PAPADAKIS / Guillaume CIZERON]          3.9318      0.054     73.309      0.000       3.827       4.037\n",
       "skater[T.Gabrielle DALEMAN]                                2.3872      0.055     43.666      0.000       2.280       2.494\n",
       "skater[T.Geon Hyeong AN]                                   0.0750      0.072      1.037      0.300      -0.067       0.217\n",
       "skater[T.Giada RUSSO]                                      0.5601      0.066      8.484      0.000       0.431       0.689\n",
       "skater[T.Goda BUTKUTE / Nikita ERMOLAEV]                  -0.1232      0.063     -1.967      0.049      -0.246      -0.000\n",
       "skater[T.Gordei GORSHKOV]                                  1.4667      0.072     20.280      0.000       1.325       1.608\n",
       "skater[T.Gracie GOLD]                                      2.2542      0.063     35.992      0.000       2.131       2.377\n",
       "skater[T.Graham NEWBERRY]                                  0.4077      0.066      6.175      0.000       0.278       0.537\n",
       "skater[T.Grant HOCHSTEIN]                                  1.7380      0.055     31.465      0.000       1.630       1.846\n",
       "skater[T.Guoste DAMULEVICIUTE / Deividas KIZALA]          -0.1066      0.089     -1.203      0.229      -0.280       0.067\n",
       "skater[T.Haley SALES / Nikolas WAMSTEEKER]                 0.9944      0.072     13.751      0.000       0.853       1.136\n",
       "skater[T.Han YAN]                                          2.2734      0.055     41.585      0.000       2.166       2.381\n",
       "skater[T.Hanna JAKUCS / Daniel ILLES]                     -0.3955      0.089     -4.465      0.000      -0.569      -0.222\n",
       "skater[T.Hanul KIM]                                        0.8667      0.063     13.838      0.000       0.744       0.989\n",
       "skater[T.Harrison Jon-Yen WONG]                           -0.7316      0.072    -10.115      0.000      -0.873      -0.590\n",
       "skater[T.Harry Hau Yin LEE]                               -0.9010      0.072    -12.458      0.000      -1.043      -0.759\n",
       "skater[T.Haven DENNEY / Brandon FRAZIER]                   1.6946      0.056     30.459      0.000       1.586       1.804\n",
       "skater[T.He ZHANG]                                         0.3750      0.063      5.987      0.000       0.252       0.498\n",
       "skater[T.Helery HALVIN]                                    0.2460      0.066      3.726      0.000       0.117       0.375\n",
       "skater[T.Hiroaki SATO]                                     1.2528      0.072     17.323      0.000       1.111       1.395\n",
       "skater[T.Hojung LEE / Richard Kang In KAM]                -0.1677      0.072     -2.319      0.020      -0.309      -0.026\n",
       "skater[T.Hong CHEN / Yan ZHAO]                             0.3028      0.059      5.128      0.000       0.187       0.419\n",
       "skater[T.Hristina VASSILEVA]                              -1.7566      0.089    -19.831      0.000      -1.930      -1.583\n",
       "skater[T.Igor REZNICHENKO]                                -0.0172      0.063     -0.274      0.784      -0.140       0.106\n",
       "skater[T.Ioulia CHTCHETININA / Mikhail AKULOV]            -0.4963      0.072     -6.863      0.000      -0.638      -0.355\n",
       "skater[T.Ioulia CHTCHETININA / Noah SCHERER]              -0.7611      0.072    -10.524      0.000      -0.903      -0.619\n",
       "skater[T.Irakli MAYSURADZE]                                0.4500      0.072      6.222      0.000       0.308       0.592\n",
       "skater[T.Isabella TOBIAS / Ilia TKACHENKO]                 2.4136      0.057     42.216      0.000       2.302       2.526\n",
       "skater[T.Isadora WILLIAMS]                                 0.4971      0.066      7.530      0.000       0.368       0.627\n",
       "skater[T.Ivan PAVLOV]                                      0.6712      0.066     10.166      0.000       0.542       0.801\n",
       "skater[T.Ivan RIGHINI]                                     1.5620      0.063     24.939      0.000       1.439       1.685\n",
       "skater[T.Ivett TOTH]                                       0.8407      0.057     14.704      0.000       0.729       0.953\n",
       "skater[T.Jasmine TESSARI / Francesco FIORETTI]             0.4706      0.066      7.128      0.000       0.341       0.600\n",
       "skater[T.Jason BROWN]                                      3.1238      0.054     57.593      0.000       3.018       3.230\n",
       "skater[T.Javier FERNANDEZ]                                 3.6440      0.054     67.602      0.000       3.538       3.750\n",
       "skater[T.Javier RAYA]                                      0.7928      0.066     12.009      0.000       0.663       0.922\n",
       "skater[T.Jessica PFUND / Joshua SANTILLAN]                 0.7528      0.072     10.409      0.000       0.611       0.895\n",
       "skater[T.Jinseo KIM]                                       0.7386      0.066     11.187      0.000       0.609       0.868\n",
       "skater[T.Jiri BELOHRADSKY]                                 0.1225      0.066      1.855      0.064      -0.007       0.252\n",
       "skater[T.Joanna SO]                                       -0.6093      0.072     -8.425      0.000      -0.751      -0.468\n",
       "skater[T.Jorik HENDRICKX]                                  2.1404      0.055     39.152      0.000       2.033       2.248\n",
       "skater[T.Joshi HELGESSON]                                  0.9139      0.058     15.760      0.000       0.800       1.028\n",
       "skater[T.Julia LIPNITSKAIA]                                1.7111      0.072     23.660      0.000       1.569       1.853\n",
       "skater[T.Julia SAUTER]                                    -0.5427      0.072     -7.504      0.000      -0.684      -0.401\n",
       "skater[T.Julian Zhi Jie YEE]                               0.9418      0.058     16.242      0.000       0.828       1.055\n",
       "skater[T.Julianne SEGUIN / Charlie BILODEAU]               2.1378      0.055     39.086      0.000       2.031       2.245\n",
       "skater[T.Jun Hwan CHA]                                     1.4917      0.072     20.626      0.000       1.350       1.633\n",
       "skater[T.June Hyoung LEE]                                  0.8792      0.063     14.037      0.000       0.756       1.002\n",
       "skater[T.Junhwan CHA]                                      2.3379      0.072     32.326      0.000       2.196       2.480\n",
       "skater[T.Justyna PLUTOWSKA / Jeremie FLEMIN]               0.3601      0.089      4.065      0.000       0.186       0.534\n",
       "skater[T.Kaetlyn OSMOND]                                   3.0119      0.054     55.876      0.000       2.906       3.118\n",
       "skater[T.Kai Xiang CHEW]                                  -0.9288      0.066    -14.068      0.000      -1.058      -0.799\n",
       "skater[T.Kailani CRAINE]                                   0.6385      0.056     11.398      0.000       0.529       0.748\n",
       "skater[T.Kaitlin HAWAYEK / Jean-Luc BAKER]                 2.2878      0.056     40.840      0.000       2.178       2.398\n",
       "skater[T.Kaitlyn WEAVER / Andrew POJE]                     3.3970      0.055     62.132      0.000       3.290       3.504\n",
       "skater[T.Kana MURAMOTO / Chris REED]                       1.7286      0.055     31.468      0.000       1.621       1.836\n",
       "skater[T.Kanako MURAKAMI]                                  1.1167      0.063     17.829      0.000       0.994       1.239\n",
       "skater[T.Kaori SAKAMOTO]                                   2.4055      0.057     42.074      0.000       2.293       2.518\n",
       "skater[T.Karen CHEN]                                       1.9820      0.055     36.255      0.000       1.875       2.089\n",
       "skater[T.Katerina BUNINA / German FROLOV]                 -0.9010      0.072    -12.458      0.000      -1.043      -0.759\n",
       "skater[T.Kavita LORENZ / Joti POLIZOAKIS]                  1.4442      0.057     25.259      0.000       1.332       1.556\n",
       "skater[T.Kazuki TOMONO]                                    1.7917      0.072     24.774      0.000       1.650       1.933\n",
       "skater[T.Keegan MESSING]                                   2.2781      0.059     38.580      0.000       2.162       2.394\n",
       "skater[T.Keiji TANAKA]                                     2.0320      0.055     37.169      0.000       1.925       2.139\n",
       "skater[T.Kerstin FRANK]                                   -0.0960      0.066     -1.455      0.146      -0.225       0.033\n",
       "skater[T.Kevin AYMOZ]                                      1.3662      0.063     21.813      0.000       1.243       1.489\n",
       "skater[T.Kevin REYNOLDS]                                   1.7464      0.055     31.618      0.000       1.638       1.855\n",
       "skater[T.Kim CHEREMSKY]                                   -1.0621      0.089    -11.991      0.000      -1.236      -0.889\n",
       "skater[T.Kimberley HEW-LOW / Timothy MCKERNAN]            -1.3306      0.072    -18.398      0.000      -1.472      -1.189\n",
       "skater[T.Kirsten MOORE-TOWERS / Michael MARINARO]          2.0252      0.057     35.422      0.000       1.913       2.137\n",
       "skater[T.Kristina ASTAKHOVA / Alexei ROGONOV]              2.0557      0.056     36.663      0.000       1.946       2.166\n",
       "skater[T.Kristina SHKULETA-GROMOVA]                       -0.1639      0.089     -1.850      0.064      -0.337       0.010\n",
       "skater[T.Ksenia STOLBOVA / Fedor KLIMOV]                   3.2560      0.055     58.949      0.000       3.148       3.364\n",
       "skater[T.Kyarha VAN TIEL]                                 -1.0232      0.089    -11.552      0.000      -1.197      -0.850\n",
       "skater[T.Kyueun KIM / Alex Kang Chan KAM]                 -0.4763      0.066     -7.214      0.000      -0.606      -0.347\n",
       "skater[T.Lana PETRANOVIC / Antonio SOUZA-KORDEIRU]        -0.3617      0.061     -5.978      0.000      -0.480      -0.243\n",
       "skater[T.Larkyn AUSTMAN]                                   0.4978      0.066      7.540      0.000       0.368       0.627\n",
       "skater[T.Larry LOUPOLOVER]                                -0.8288      0.066    -12.553      0.000      -0.958      -0.699\n",
       "skater[T.Laura BARQUERO / Aritz MAESTU]                    0.0351      0.072      0.485      0.627      -0.107       0.177\n",
       "skater[T.Laurence FOURNIER BEAUDRY / Nikolaj SORENSEN]     2.0717      0.055     37.504      0.000       1.963       2.180\n",
       "skater[T.Laurine LECAVELIER]                               1.3930      0.055     25.219      0.000       1.285       1.501\n",
       "skater[T.Lea Johanna DASTICH]                              0.0268      0.072      0.370      0.711      -0.115       0.169\n",
       "skater[T.Leslie Man Cheuk IP]                             -0.7288      0.063    -11.636      0.000      -0.852      -0.606\n",
       "skater[T.Liam FIRUS]                                       1.7833      0.063     28.474      0.000       1.661       1.906\n",
       "skater[T.Lilah FEAR / Lewis GIBSON]                        0.7423      0.066     11.243      0.000       0.613       0.872\n",
       "skater[T.Linshu SONG / Zhuoming SUN]                       0.3102      0.059      5.253      0.000       0.194       0.426\n",
       "skater[T.Liubov ILYUSHECHKINA / Dylan MOSCOVITCH]          2.2295      0.055     40.782      0.000       2.122       2.337\n",
       "skater[T.Loena HENDRICKX]                                  1.1608      0.057     20.303      0.000       1.049       1.273\n",
       "skater[T.Lola ESBRAT / Andrei NOVOSELOV]                   0.4171      0.058      7.193      0.000       0.303       0.531\n",
       "skater[T.Lorenza ALESSANDRINI / Pierre SOUQUET]            0.7961      0.061     13.157      0.000       0.678       0.915\n",
       "skater[T.Lorraine MCNAMARA / Quinn CARPENTER]              1.6861      0.063     26.922      0.000       1.563       1.809\n",
       "skater[T.Lucie MYSLIVECKOVA / Lukas CSOLLEY]               1.1762      0.059     19.918      0.000       1.060       1.292\n",
       "skater[T.Madison CHOCK / Evan BATES]                       3.3735      0.054     62.583      0.000       3.268       3.479\n",
       "skater[T.Madison HUBBELL / Zachary DONOHUE]                3.2448      0.054     60.195      0.000       3.139       3.350\n",
       "skater[T.Mae Berenice MEITE]                               0.8568      0.055     15.511      0.000       0.748       0.965\n",
       "skater[T.Mai MIHARA]                                       2.1433      0.055     39.205      0.000       2.036       2.250\n",
       "skater[T.Maia SHIBUTANI / Alex SHIBUTANI]                  3.5901      0.054     66.602      0.000       3.484       3.696\n",
       "skater[T.Maisy Hiu Ching MA]                              -0.5260      0.072     -7.273      0.000      -0.668      -0.384\n",
       "skater[T.Malin MALMBERG / Thomas NORDAHL]                 -1.7788      0.089    -20.082      0.000      -1.952      -1.605\n",
       "skater[T.Mao ASADA]                                        2.3153      0.063     36.967      0.000       2.193       2.438\n",
       "skater[T.Mari VARTMANN / Ruben BLOMMAERT]                  1.3958      0.063     22.287      0.000       1.273       1.519\n",
       "skater[T.Maria SOTSKOVA]                                   2.4468      0.054     45.621      0.000       2.342       2.552\n",
       "skater[T.Mariah BELL]                                      1.7438      0.055     31.571      0.000       1.636       1.852\n",
       "skater[T.Marie-Jade LAURIAULT / Romain LE GAC]             1.5195      0.054     27.912      0.000       1.413       1.626\n",
       "skater[T.Marin HONDA]                                      1.9542      0.063     31.202      0.000       1.831       2.077\n",
       "skater[T.Mario-Rafael IONIAN]                             -1.0750      0.089    -12.137      0.000      -1.249      -0.901\n",
       "skater[T.Marissa CASTELLI / Mervin TRAN]                   1.6224      0.057     28.329      0.000       1.510       1.735\n",
       "skater[T.Mark GORODNITSKY]                                -0.4899      0.089     -5.531      0.000      -0.664      -0.316\n",
       "skater[T.Mark WEBSTER]                                    -0.2491      0.066     -3.773      0.000      -0.378      -0.120\n",
       "skater[T.Matilda ALGOTSSON]                                0.2453      0.066      3.715      0.000       0.116       0.375\n",
       "skater[T.Matilda FRIEND / William BADAOUI]                -1.2375      0.063    -19.759      0.000      -1.360      -1.115\n",
       "skater[T.Matteo RIZZO]                                     1.5020      0.061     24.822      0.000       1.383       1.621\n",
       "skater[T.Maurizio ZANDRON]                                 0.6157      0.072      8.513      0.000       0.474       0.757\n",
       "skater[T.Max AARON]                                        2.0089      0.056     35.861      0.000       1.899       2.119\n",
       "skater[T.Maxim KOVTUN]                                     2.1198      0.057     37.496      0.000       2.009       2.231\n",
       "skater[T.Meagan DUHAMEL / Eric RADFORD]                    3.0199      0.054     56.025      0.000       2.914       3.126\n",
       "skater[T.Micah Kai LYNETTE]                               -0.5066      0.089     -5.719      0.000      -0.680      -0.333\n",
       "skater[T.Micah TANG]                                      -1.1677      0.066    -17.686      0.000      -1.297      -1.038\n",
       "skater[T.Michael Christian MARTINEZ]                       0.8323      0.061     13.755      0.000       0.714       0.951\n",
       "skater[T.Michael NEUMAN]                                  -0.4686      0.072     -6.479      0.000      -0.610      -0.327\n",
       "skater[T.Michaela DU TOIT]                                -1.0732      0.089    -12.117      0.000      -1.247      -0.900\n",
       "skater[T.Michaela-Lucie HANZLIKOVA]                       -0.3238      0.066     -4.905      0.000      -0.453      -0.194\n",
       "skater[T.Michal BREZINA]                                   2.1982      0.054     40.528      0.000       2.092       2.305\n",
       "skater[T.Michelle LONG]                                    0.7472      0.072     10.332      0.000       0.605       0.889\n",
       "skater[T.Micol CRISTINI]                                   0.1907      0.072      2.636      0.008       0.049       0.332\n",
       "skater[T.Mikhail KOLYADA]                                  2.8387      0.054     52.661      0.000       2.733       2.944\n",
       "skater[T.Minerva Fabienne HASE / Nolan SEEGERT]            0.1534      0.066      2.323      0.020       0.024       0.283\n",
       "skater[T.Mingyang ZHANG / Bowen SONG]                     -0.0361      0.072     -0.499      0.618      -0.178       0.106\n",
       "skater[T.Minji JI / Themistocles LEFTHERIS]               -0.5861      0.072     -8.104      0.000      -0.728      -0.444\n",
       "skater[T.Mirai NAGASU]                                     1.8611      0.055     33.694      0.000       1.753       1.969\n",
       "skater[T.Miriam ZIEGLER / Severin KIEFER]                  1.0924      0.055     19.983      0.000       0.985       1.200\n",
       "skater[T.Misato KOMATSUBARA / Tim KOLETO]                  0.6653      0.063     10.622      0.000       0.543       0.788\n",
       "skater[T.Misha GE]                                         2.4066      0.054     44.369      0.000       2.300       2.513\n",
       "skater[T.Miu SUZAKI / Ryuichi KIHARA]                      0.1372      0.058      2.365      0.018       0.024       0.251\n",
       "skater[T.Morisi KVITELASHVILI]                             1.5975      0.055     28.921      0.000       1.489       1.706\n",
       "skater[T.Nahyun KIM]                                       0.7348      0.066     11.131      0.000       0.605       0.864\n",
       "skater[T.Nam NGUYEN]                                       1.6542      0.055     29.948      0.000       1.546       1.762\n",
       "skater[T.Natalia KALISZEK / Maksym SPODYRIEV]              1.7607      0.054     32.462      0.000       1.654       1.867\n",
       "skater[T.Natalia ZABIIAKO / Alexander ENBERT]              2.3578      0.054     43.741      0.000       2.252       2.463\n",
       "skater[T.Natalie KLOTZ]                                   -0.8528      0.089     -9.628      0.000      -1.026      -0.679\n",
       "skater[T.Natalie SANGKAGALO]                              -1.6232      0.072    -22.445      0.000      -1.765      -1.481\n",
       "skater[T.Natasha MCKAY]                                    0.0689      0.063      1.101      0.271      -0.054       0.192\n",
       "skater[T.Nathalie WEINZIERL]                               0.5295      0.072      7.322      0.000       0.388       0.671\n",
       "skater[T.Nathan CHEN]                                      2.8373      0.054     52.637      0.000       2.732       2.943\n",
       "skater[T.Nicholas VRDOLJAK]                               -0.6158      0.066     -9.328      0.000      -0.745      -0.486\n",
       "skater[T.Nicky OBREYKOV]                                  -0.7343      0.072    -10.154      0.000      -0.876      -0.593\n",
       "skater[T.Nicolas NADEAU]                                   1.8361      0.072     25.389      0.000       1.694       1.978\n",
       "skater[T.Nicole DELLA MONICA / Matteo GUARISE]             2.0621      0.054     38.019      0.000       1.956       2.168\n",
       "skater[T.Nicole KUZMICHOVA / Alexandr SINICYN]             0.6972      0.063     11.132      0.000       0.574       0.820\n",
       "skater[T.Nicole RAJICOVA]                                  1.2427      0.054     22.911      0.000       1.136       1.349\n",
       "skater[T.Nicole SCHOTT]                                    1.1086      0.055     20.069      0.000       1.000       1.217\n",
       "skater[T.Olga JAKUSHINA / Andrey NEVSKIY]                  0.3879      0.072      5.363      0.000       0.246       0.530\n",
       "skater[T.Olivia SMART / Adria DIAZ]                        1.7403      0.063     27.786      0.000       1.618       1.863\n",
       "skater[T.Paige CONNERS / Evgeni KRASNOPOLSKI]              0.5497      0.066      8.326      0.000       0.420       0.679\n",
       "skater[T.Patrick CHAN]                                     3.5058      0.055     64.128      0.000       3.399       3.613\n",
       "skater[T.Paul FENTZ]                                       1.2811      0.056     22.868      0.000       1.171       1.391\n",
       "skater[T.Penny COOMES / Nicholas BUCKLAND]                 2.6419      0.059     44.740      0.000       2.526       2.758\n",
       "skater[T.Pernille SORENSEN]                               -0.6982      0.072     -9.655      0.000      -0.840      -0.556\n",
       "skater[T.Phillip HARRIS]                                   0.9620      0.072     13.302      0.000       0.820       1.104\n",
       "skater[T.Piper GILLES / Paul POIRIER]                      2.9468      0.055     53.904      0.000       2.840       3.054\n",
       "skater[T.Polina EDMUNDS]                                   1.2750      0.072     17.630      0.000       1.133       1.417\n",
       "skater[T.Polina TSURSKAYA]                                 2.2222      0.063     35.481      0.000       2.099       2.345\n",
       "skater[T.Presiyana DIMITROVA]                             -1.7732      0.089    -20.020      0.000      -1.947      -1.600\n",
       "skater[T.Rachel PARSONS / Michael PARSONS]                 1.7519      0.059     29.668      0.000       1.636       1.868\n",
       "skater[T.Rebecca GHILARDI / Filippo AMBROSINI]            -0.1750      0.072     -2.420      0.016      -0.317      -0.033\n",
       "skater[T.Rika HONGO]                                       1.8125      0.055     32.814      0.000       1.704       1.921\n",
       "skater[T.Rikako FUKASE / Aru TATENO]                      -0.1639      0.072     -2.266      0.023      -0.306      -0.022\n",
       "skater[T.Riku MIURA / Shoya ICHIHASHI]                    -0.6278      0.072     -8.681      0.000      -0.770      -0.486\n",
       "skater[T.Roberta RODEGHIERO]                               1.0447      0.059     17.693      0.000       0.929       1.160\n",
       "skater[T.Robynne TWEEDALE / Joseph BUCKLAND]               0.1417      0.089      1.599      0.110      -0.032       0.315\n",
       "skater[T.Romain PONSART]                                   0.8977      0.063     14.333      0.000       0.775       1.020\n",
       "skater[T.Roman SADOVSKY]                                   1.3306      0.072     18.398      0.000       1.189       1.472\n",
       "skater[T.Ross MINER]                                       1.8602      0.059     31.503      0.000       1.744       1.976\n",
       "skater[T.Ryuju HINO]                                       1.1806      0.072     16.324      0.000       1.039       1.322\n",
       "skater[T.Sara HURTADO / Kirill KHALIAVIN]                  2.0046      0.059     33.948      0.000       1.889       2.120\n",
       "skater[T.Sarah ARNOLD / Thomas WILLIAMS]                   0.9833      0.072     13.597      0.000       0.842       1.125\n",
       "skater[T.Satoko MIYAHARA]                                  2.9123      0.054     53.693      0.000       2.806       3.019\n",
       "skater[T.Serafima SAKHANOVICH]                             1.4083      0.063     22.486      0.000       1.286       1.531\n",
       "skater[T.Sergei VORONOV]                                   2.4478      0.056     43.696      0.000       2.338       2.558\n",
       "skater[T.Shiyue WANG / Xinyu LIU]                          1.5131      0.054     27.794      0.000       1.406       1.620\n",
       "skater[T.Shoma UNO]                                        3.3702      0.054     62.837      0.000       3.265       3.475\n",
       "skater[T.Shuran YU]                                       -0.4566      0.066     -6.916      0.000      -0.586      -0.327\n",
       "skater[T.Sihyeong LEE]                                     0.4639      0.063      7.407      0.000       0.341       0.587\n",
       "skater[T.Sila SAYGI]                                      -0.5250      0.089     -5.927      0.000      -0.699      -0.351\n",
       "skater[T.Silvia HUGEC]                                    -0.7093      0.072     -9.808      0.000      -0.851      -0.568\n",
       "skater[T.Slavik HAYRAPETYAN]                               0.1168      0.061      1.930      0.054      -0.002       0.235\n",
       "skater[T.So Youn PARK]                                     1.4236      0.063     22.730      0.000       1.301       1.546\n",
       "skater[T.Sofia EVDOKIMOVA / Egor BAZIN]                    0.8472      0.072     11.715      0.000       0.705       0.989\n",
       "skater[T.Sofiya KARAGODINA / Semyon STEPANOV]             -0.8760      0.072    -12.113      0.000      -1.018      -0.734\n",
       "skater[T.Sondre ODDVOLL BOE]                               0.2694      0.063      4.302      0.000       0.147       0.392\n",
       "skater[T.Soyoun PARK]                                      0.8944      0.063     14.281      0.000       0.772       1.017\n",
       "skater[T.Starr ANDREWS]                                    0.8972      0.072     12.406      0.000       0.755       1.039\n",
       "skater[T.Stephane WALKER]                                  0.7824      0.061     12.930      0.000       0.664       0.901\n",
       "skater[T.Su Yeon KIM / Hyungtae KIM]                      -0.5056      0.072     -6.991      0.000      -0.647      -0.364\n",
       "skater[T.Suh Hyun SON]                                    -0.6649      0.072     -9.194      0.000      -0.807      -0.523\n",
       "skater[T.Sumire SUTO / Francis BOUDREAU-AUDET]             0.6688      0.057     11.830      0.000       0.558       0.780\n",
       "skater[T.Sydney KOLODZIEJ / Maxime DESCHAMPS]              0.6917      0.063     11.044      0.000       0.569       0.814\n",
       "skater[T.Tae Ok RYOM / Ju Sik KIM]                         1.5268      0.059     25.855      0.000       1.411       1.643\n",
       "skater[T.Takahito MURA]                                    1.9767      0.056     35.286      0.000       1.867       2.086\n",
       "skater[T.Tarah KAYNE / Daniel O SHEA]                      1.6405      0.059     27.717      0.000       1.524       1.756\n",
       "skater[T.Tatiana DANILOVA / Mikalai KAMIANCHUK]            0.0077      0.066      0.116      0.908      -0.122       0.137\n",
       "skater[T.Tatiana KOZMAVA / Alexei SHUMSKI]                -0.2399      0.072     -3.317      0.001      -0.382      -0.098\n",
       "skater[T.Taylor TRAN / Saulius AMBRULEVICIUS]              0.3045      0.066      4.613      0.000       0.175       0.434\n",
       "skater[T.Teodora MARKOVA / Simon DAZE]                    -1.0510      0.089    -11.866      0.000      -1.225      -0.877\n",
       "skater[T.Tessa VIRTUE / Scott MOIR]                        3.9157      0.054     72.643      0.000       3.810       4.021\n",
       "skater[T.Thita LAMSAM]                                    -1.5593      0.072    -21.561      0.000      -1.701      -1.418\n",
       "skater[T.Thomas KENNES]                                   -0.3871      0.072     -5.353      0.000      -0.529      -0.245\n",
       "skater[T.Tiffani ZAGORSKI / Jonathan GUERREIRO]            2.2806      0.056     40.711      0.000       2.171       2.390\n",
       "skater[T.Timothy DOLENSKY]                                 1.7750      0.072     24.544      0.000       1.633       1.917\n",
       "skater[T.Tina GARABEDIAN / Simon PROULX-SENECAL]           0.6623      0.061     10.946      0.000       0.544       0.781\n",
       "skater[T.Valentina MARCHEI / Ondrej HOTAREK]               2.1559      0.054     39.732      0.000       2.050       2.262\n",
       "skater[T.Valentina MATOS]                                 -1.1130      0.072    -15.390      0.000      -1.255      -0.971\n",
       "skater[T.Valeriia MIKHAILOVA]                              1.4861      0.072     20.549      0.000       1.344       1.628\n",
       "skater[T.Valtter VIRTANEN]                                 0.2142      0.061      3.540      0.000       0.096       0.333\n",
       "skater[T.Vanessa JAMES / Morgan CIPRES]                    2.7134      0.054     50.006      0.000       2.607       2.820\n",
       "skater[T.Vavara OGLOBLINA / Mikhail ZHIRNOV]               0.1545      0.089      1.745      0.081      -0.019       0.328\n",
       "skater[T.Victoria MANNI / Carlo ROTHLISBERGER]            -0.0630      0.072     -0.871      0.384      -0.205       0.079\n",
       "skater[T.Victoria SINITSINA / Nikita KATSALAPOV]           2.8737      0.056     51.299      0.000       2.764       2.983\n",
       "skater[T.Viktoria KAVALIOVA / Yurii BIELIAIEV]             0.6451      0.057     11.411      0.000       0.534       0.756\n",
       "skater[T.Vincent ZHOU]                                     1.6225      0.059     27.478      0.000       1.507       1.738\n",
       "skater[T.Viveca LINDFORS]                                  0.1574      0.063      2.513      0.012       0.035       0.280\n",
       "skater[T.Wakaba HIGUCHI]                                   2.1911      0.055     40.080      0.000       2.084       2.298\n",
       "skater[T.Wenjing SUI / Cong HAN]                           3.6366      0.055     65.838      0.000       3.528       3.745\n",
       "skater[T.Xiangning LI]                                     0.7721      0.055     14.123      0.000       0.665       0.879\n",
       "skater[T.Xiaotong WANG / Kaige ZHAO]                      -0.6250      0.072     -8.642      0.000      -0.767      -0.483\n",
       "skater[T.Xiaoyu YU / Hao ZHANG]                            2.5657      0.054     47.599      0.000       2.460       2.671\n",
       "skater[T.Xuehan WANG / Lei WANG]                           1.8375      0.063     29.339      0.000       1.715       1.960\n",
       "skater[T.Yakau ZENKO]                                     -0.7288      0.089     -8.228      0.000      -0.902      -0.555\n",
       "skater[T.Yaroslav PANIOT]                                  0.3295      0.072      4.557      0.000       0.188       0.471\n",
       "skater[T.Yasmine Kimiko YAMADA]                           -0.4769      0.072     -6.594      0.000      -0.619      -0.335\n",
       "skater[T.Yuka NAGAI]                                       1.1069      0.063     17.674      0.000       0.984       1.230\n",
       "skater[T.Yuko KAVAGUTI / Alexander SMIRNOV]                2.1431      0.063     34.217      0.000       2.020       2.266\n",
       "skater[T.Yuna SHIRAIWA]                                    1.7403      0.063     27.786      0.000       1.618       1.863\n",
       "skater[T.Yura MATSUDA]                                     1.6542      0.063     26.412      0.000       1.531       1.777\n",
       "skater[T.Yura MIN / Alexander GAMELIN]                     1.1551      0.056     20.621      0.000       1.045       1.265\n",
       "skater[T.Yuzuru HANYU]                                     3.6296      0.055     66.393      0.000       3.522       3.737\n",
       "skater[T.Zijun LI]                                         1.3442      0.057     23.511      0.000       1.232       1.456\n",
       "skater[T.Ziquan ZHAO]                                      0.3688      0.057      6.450      0.000       0.257       0.481\n",
       "skater[T.Zoe JONES / Christopher BOYADJI]                 -0.1210      0.061     -2.000      0.046      -0.240      -0.002\n",
       "same_country                                               0.2659      0.006     46.715      0.000       0.255       0.277\n",
       "==============================================================================\n",
       "Omnibus:                     3466.636   Durbin-Watson:                   1.357\n",
       "Prob(Omnibus):                  0.000   Jarque-Bera (JB):             5615.307\n",
       "Skew:                          -0.325   Prob(JB):                         0.00\n",
       "Kurtosis:                       3.978   Cond. No.                         614.\n",
       "==============================================================================\n",
       "\n",
       "Warnings:\n",
       "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n",
       "\"\"\""
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "comp_skater_same_country = ols('judge_score ~ skater + same_country', data=comp).fit()\n",
    "comp_skater_same_country.summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x117eb1290>]"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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63dWrxhpPC410EfJ6tUnr/hHSR+7d6564d17YLevr5kUac3PJ30dzxJw9a1riPAOYIe8b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\n6Rn/H8X7EGLuPycOAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x118031750>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(comp_skater_same_country.fittedvalues, comp_skater_same_country.resid, 'bo')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x117ebf510>"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0x117edfcd0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "comp_skater_same_country.resid.hist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from statsmodels.stats.outliers_influence import variance_inflation_factor"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1085.17700741\n",
      "7.94839305074\n",
      "2.49664560544\n",
      "1.9981567009\n",
      "1.99830945824\n",
      "2.4965438142\n",
      "6.96129071899\n",
      "3.98894020543\n",
      "5.9723809523\n",
      "1.49938517673\n",
      "5.97247226849\n",
      "1.49938517673\n",
      "3.98894020543\n",
      "4.98165269724\n",
      "6.46705794335\n",
      "1.9981567009\n",
      "7.94840932701\n",
      "8.933717118\n",
      "2.99464179618\n",
      "1.9981567009\n",
      "5.97235812325\n",
      "8.93366020392\n",
      "1.9981567009\n",
      "8.93366020392\n",
      "2.99447010271\n",
      "1.9981567009\n",
      "3.49207285781\n",
      "2.99447010271\n",
      "5.97311148185\n",
      "1.49938517673\n",
      "1.9981567009\n",
      "2.99447010271\n",
      "1.9981567009\n",
      "4.98160509269\n",
      "3.98895291172\n",
      "2.4967728445\n",
      "9.91715683929\n",
      "3.98925786271\n",
      "3.98925786271\n",
      "6.96139208748\n",
      "1.9981567009\n",
      "3.49195082105\n",
      "2.99454641092\n",
      "1.49930876284\n",
      "1.99830945824\n",
      "1.99819489024\n",
      "2.99447010271\n",
      "3.98894020543\n",
      "5.47722301016\n",
      "1.49938517673\n",
      "1.9981567009\n",
      "1.49930876284\n",
      "8.93364123255\n",
      "2.99447010271\n",
      "7.94843645412\n",
      "1.9981567009\n",
      "2.99447010271\n",
      "1.9981567009\n",
      "2.98341009004\n",
      "2.99447010271\n",
      "7.948653471\n",
      "4.48552756392\n",
      "6.45623437306\n",
      "1.9981567009\n",
      "8.93375980357\n",
      "7.45506958454\n",
      "3.49231693134\n",
      "2.99477533554\n",
      "1.49938517673\n",
      "1.49938517673\n",
      "2.99448917976\n",
      "3.98894020543\n",
      "7.94852326087\n",
      "2.99454641092\n",
      "6.46711326088\n",
      "1.49938517673\n",
      "1.49930876284\n",
      "2.99477533554\n",
      "1.49938517673\n",
      "2.99447010271\n",
      "6.46711326088\n",
      "8.93381197482\n",
      "1.99819489024\n",
      "4.98160509269\n",
      "1.99830945824\n",
      "4.48552756392\n",
      "9.91706838847\n",
      "2.99447010271\n",
      "5.97235051356\n",
      "1.99830945824\n",
      "8.93387363175\n",
      "4.98156700904\n",
      "3.98894020543\n",
      "4.98156700904\n",
      "1.49938517673\n",
      "2.4967728445\n",
      "2.99447010271\n",
      "1.49938517673\n",
      "4.4856581968\n",
      "1.49930876284\n",
      "9.91715683929\n",
      "10.8441384166\n",
      "2.49664560544\n",
      "1.49930876284\n",
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      "1.9981567009\n",
      "2.4967728445\n",
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      "1.9981567009\n",
      "2.99447010271\n",
      "2.49664560544\n",
      "6.96129071899\n",
      "1.49938517673\n",
      "1.9981567009\n",
      "7.94838762532\n",
      "1.49938517673\n",
      "2.99447010271\n",
      "1.99830945824\n",
      "1.99830945824\n",
      "6.41210714778\n",
      "2.99447010271\n",
      "2.49656926201\n",
      "1.9981567009\n",
      "1.99830945824\n",
      "3.98894020543\n",
      "1.49938517673\n",
      "2.99454641092\n",
      "1.99819489024\n",
      "1.9981567009\n",
      "1.9981567009\n",
      "4.98160509269\n",
      "2.4967728445\n",
      "2.4967728445\n",
      "2.99454641092\n",
      "4.98180503182\n",
      "2.49664560544\n"
     ]
    },
    {
     "ename": "KeyboardInterrupt",
     "evalue": "",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-26-6d3e1e73cd4f>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mi\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mxrange\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcomp_skater_same_country\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmodel\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mexog\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mshape\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m     \u001b[0;32mprint\u001b[0m \u001b[0mvariance_inflation_factor\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcomp_skater_same_country\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmodel\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mexog\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mi\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      3\u001b[0m \u001b[0;31m# [variance_inflation_factor(comp_skater_same_country.model.exog, i) for i in xrange(comp_skater_same_country.model.exog.shape[1])]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/anaconda/lib/python2.7/site-packages/statsmodels/stats/outliers_influence.pyc\u001b[0m in \u001b[0;36mvariance_inflation_factor\u001b[0;34m(exog, exog_idx)\u001b[0m\n\u001b[1;32m    164\u001b[0m     \u001b[0mmask\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0marange\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mk_vars\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m!=\u001b[0m \u001b[0mexog_idx\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    165\u001b[0m     \u001b[0mx_noti\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mexog\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmask\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 166\u001b[0;31m     \u001b[0mr_squared_i\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mOLS\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mx_i\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mx_noti\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfit\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrsquared\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    167\u001b[0m     \u001b[0mvif\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;36m1.\u001b[0m \u001b[0;34m/\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0;36m1.\u001b[0m \u001b[0;34m-\u001b[0m \u001b[0mr_squared_i\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    168\u001b[0m     \u001b[0;32mreturn\u001b[0m \u001b[0mvif\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/anaconda/lib/python2.7/site-packages/statsmodels/regression/linear_model.pyc\u001b[0m in \u001b[0;36mfit\u001b[0;34m(self, method, cov_type, cov_kwds, use_t, **kwargs)\u001b[0m\n\u001b[1;32m    188\u001b[0m                 (not hasattr(self, 'rank'))):\n\u001b[1;32m    189\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 190\u001b[0;31m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpinv_wexog\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msingular_values\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mpinv_extended\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mwexog\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    191\u001b[0m                 self.normalized_cov_params = np.dot(self.pinv_wexog,\n\u001b[1;32m    192\u001b[0m                                         np.transpose(self.pinv_wexog))\n",
      "\u001b[0;32m/anaconda/lib/python2.7/site-packages/statsmodels/tools/tools.pyc\u001b[0m in \u001b[0;36mpinv_extended\u001b[0;34m(X, rcond)\u001b[0m\n\u001b[1;32m    340\u001b[0m     \u001b[0mX\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0masarray\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mX\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    341\u001b[0m     \u001b[0mX\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mX\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mconjugate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 342\u001b[0;31m     \u001b[0mu\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0ms\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mvt\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlinalg\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msvd\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mX\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m0\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    343\u001b[0m     \u001b[0ms_orig\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcopy\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0ms\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    344\u001b[0m     \u001b[0mm\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mu\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mshape\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/anaconda/lib/python2.7/site-packages/numpy/linalg/linalg.pyc\u001b[0m in \u001b[0;36msvd\u001b[0;34m(a, full_matrices, compute_uv)\u001b[0m\n\u001b[1;32m   1402\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1403\u001b[0m         \u001b[0msignature\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m'D->DdD'\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0misComplexType\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mt\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32melse\u001b[0m \u001b[0;34m'd->ddd'\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1404\u001b[0;31m         \u001b[0mu\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0ms\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mvt\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mgufunc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0ma\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msignature\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0msignature\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mextobj\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mextobj\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1405\u001b[0m         \u001b[0mu\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mu\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mastype\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mresult_t\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcopy\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mFalse\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1406\u001b[0m         \u001b[0ms\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0ms\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mastype\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0m_realType\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mresult_t\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcopy\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mFalse\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mKeyboardInterrupt\u001b[0m: "
     ]
    }
   ],
   "source": [
    "for i in xrange(comp_skater_same_country.model.exog.shape[1]):\n",
    "    print variance_inflation_factor(comp_skater_same_country.model.exog, i)\n",
    "# [variance_inflation_factor(comp_skater_same_country.model.exog, i) for i in xrange(comp_skater_same_country.model.exog.shape[1])]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "ols('judge_score ~ skater + same_country', data=goes).fit().summary()"
   ]
  }
 ],
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