F4-AnalysisPlots.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 153,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pickle\n",
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "merged_final = pickle.load(open(\"merged_final.pkl\", \"rb\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 154,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "\n",
    "# Assuming your DataFrame is named 'merged_final'\n",
    "\n",
    "# Step 1: Group by 'competition_id', 'season_id', 'team_id'\n",
    "grouped_data = merged_final.groupby(['competition_id', 'season_id', 'team_id'])\n",
    "\n",
    "# Step 2: Compute the sum of 'label' and 'probability' and count the rows for each group\n",
    "agg_data = grouped_data.agg({'label': ['sum', 'count'], 'probability': 'sum', 'match_id': 'count', \n",
    "                              'player_id': 'first', 'team': 'first', \n",
    "                              'competition_name': 'first', 'season_name': 'first'})\n",
    "\n",
    "# Step 3: Flatten the multi-level columns\n",
    "agg_data.columns = agg_data.columns.map('_'.join).str.strip('_')\n",
    "\n",
    "# Step 4: Compute the ratio of sum of probability to sum of label\n",
    "agg_data['ratio'] = agg_data['probability_sum'] / agg_data['label_sum']\n",
    "\n",
    "# Step 5: Sort the DataFrame by the 'ratio' column in descending order\n",
    "agg_data = agg_data.sort_values(by=['competition_id', 'season_id', 'ratio'], ascending=[True, True, False])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 163,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "32"
      ]
     },
     "execution_count": 163,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# df = agg_data.loc[(12, 27)]\n",
    "# [(12, 27),( 2, 27),( 11, 27),( 7, 27),( 9, 27),(1238,108),( 43, 3), ( 43, 106), (55, 43) ]\n",
    "\n",
    "cid = 43\n",
    "sid = 106\n",
    "\n",
    "df = agg_data.loc[(cid, sid)]\n",
    "len(df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 181,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Serbia Switzerland\n",
      "Argentina Australia\n",
      "Australia Denmark\n",
      "Brazil Serbia\n",
      "Tunisia Australia\n",
      "Ecuador Senegal\n",
      "Netherlands Argentina\n",
      "Uruguay South Korea\n",
      "Morocco Portugal\n",
      "Argentina France\n",
      "Saudi Arabia Mexico\n",
      "Poland Argentina\n",
      "France Denmark\n",
      "Argentina Mexico\n",
      "Brazil Switzerland\n",
      "Netherlands Qatar\n",
      "Portugal Switzerland\n",
      "England Senegal\n",
      "Croatia Morocco\n",
      "Argentina Croatia\n",
      "England France\n",
      "France Morocco\n",
      "Croatia Brazil\n",
      "Morocco Spain\n",
      "Japan Croatia\n",
      "Brazil South Korea\n",
      "France Poland\n",
      "Netherlands United States\n",
      "Portugal Uruguay\n",
      "Spain Germany\n",
      "Cameroon Serbia\n",
      "Japan Costa Rica\n",
      "Belgium Morocco\n",
      "Germany Japan\n",
      "United States Wales\n",
      "Qatar Ecuador\n",
      "Qatar Senegal\n",
      "Argentina Saudi Arabia\n",
      "South Korea Ghana\n",
      "Portugal Ghana\n",
      "Poland Saudi Arabia\n",
      "Croatia Belgium\n",
      "Ghana Uruguay\n",
      "Costa Rica Germany\n",
      "Spain Costa Rica\n",
      "Switzerland Cameroon\n",
      "Senegal Netherlands\n",
      "Croatia Canada\n",
      "Cameroon Brazil\n",
      "France Australia\n",
      "Iran United States\n",
      "Morocco Croatia\n",
      "Canada Morocco\n",
      "Tunisia France\n",
      "Netherlands Ecuador\n",
      "Wales Iran\n",
      "England United States\n",
      "England Iran\n",
      "Belgium Canada\n",
      "Mexico Poland\n",
      "South Korea Portugal\n",
      "Wales England\n",
      "Japan Spain\n",
      "Denmark Tunisia\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/adnanazmat/miniconda3/lib/python3.11/site-packages/statsbombpy/api_client.py:21: NoAuthWarning: credentials were not supplied. open data access only\n",
      "  warnings.warn(\n"
     ]
    }
   ],
   "source": [
    "cid = 43\n",
    "sid = 106\n",
    "\n",
    "from statsbombpy import sb\n",
    "\n",
    "matches = sb.matches(cid,sid)\n",
    "\n",
    "# matches.head()\n",
    "# print (home_team, away_team) combination\n",
    "for i in range(len(matches)):\n",
    "    home_team = matches.iloc[i]['home_team']\n",
    "    away_team = matches.iloc[i]['away_team']\n",
    "    print (home_team, away_team)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 165,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/var/folders/w2/cwqdzbx140l41n8zvm81gvbh0000gn/T/ipykernel_86108/324829612.py:2: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  df['team_first'] = df['team_first'].apply(lambda x: str(x))\n",
      "/var/folders/w2/cwqdzbx140l41n8zvm81gvbh0000gn/T/ipykernel_86108/324829612.py:5: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  df['team_first'] = df['team_first'].apply(lambda x: x[5:])\n",
      "/var/folders/w2/cwqdzbx140l41n8zvm81gvbh0000gn/T/ipykernel_86108/324829612.py:6: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  df['team_first'] = df['team_first'].apply(lambda x: x.split(\"Name:\")[0])\n",
      "/var/folders/w2/cwqdzbx140l41n8zvm81gvbh0000gn/T/ipykernel_86108/324829612.py:9: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  df['team_first'] = df['team_first'].apply(lambda x: x.replace(\"\\n\", \"\"))\n"
     ]
    }
   ],
   "source": [
    "# make df['team_first'].iloc[0] a string\n",
    "df['team_first'] = df['team_first'].apply(lambda x: str(x))\n",
    "\n",
    "# remove first 5 characters from df['team_first'] and remove everything from \"Name:\" \n",
    "df['team_first'] = df['team_first'].apply(lambda x: x[5:])\n",
    "df['team_first'] = df['team_first'].apply(lambda x: x.split(\"Name:\")[0])\n",
    "\n",
    "# remove \\n from df['team_first']\n",
    "df['team_first'] = df['team_first'].apply(lambda x: x.replace(\"\\n\", \"\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 166,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>label_sum</th>\n",
       "      <th>label_count</th>\n",
       "      <th>probability_sum</th>\n",
       "      <th>match_id_count</th>\n",
       "      <th>player_id_first</th>\n",
       "      <th>team_first</th>\n",
       "      <th>competition_name_first</th>\n",
       "      <th>season_name_first</th>\n",
       "      <th>ratio</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>team_id</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>788</th>\n",
       "      <td>7</td>\n",
       "      <td>28</td>\n",
       "      <td>10.425293</td>\n",
       "      <td>28</td>\n",
       "      <td>23774</td>\n",
       "      <td>Morocco</td>\n",
       "      <td>FIFA World Cup</td>\n",
       "      <td>2022</td>\n",
       "      <td>1.489328</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>779</th>\n",
       "      <td>9</td>\n",
       "      <td>24</td>\n",
       "      <td>11.112382</td>\n",
       "      <td>24</td>\n",
       "      <td>19597</td>\n",
       "      <td>Argentina</td>\n",
       "      <td>FIFA World Cup</td>\n",
       "      <td>2022</td>\n",
       "      <td>1.234709</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>797</th>\n",
       "      <td>4</td>\n",
       "      <td>14</td>\n",
       "      <td>4.931209</td>\n",
       "      <td>14</td>\n",
       "      <td>5235</td>\n",
       "      <td>Iran</td>\n",
       "      <td>FIFA World Cup</td>\n",
       "      <td>2022</td>\n",
       "      <td>1.232802</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1839</th>\n",
       "      <td>5</td>\n",
       "      <td>12</td>\n",
       "      <td>5.985026</td>\n",
       "      <td>12</td>\n",
       "      <td>21881</td>\n",
       "      <td>United States</td>\n",
       "      <td>FIFA World Cup</td>\n",
       "      <td>2022</td>\n",
       "      <td>1.197005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>772</th>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>2.315978</td>\n",
       "      <td>4</td>\n",
       "      <td>4353</td>\n",
       "      <td>Spain</td>\n",
       "      <td>FIFA World Cup</td>\n",
       "      <td>2022</td>\n",
       "      <td>1.157989</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         label_sum  label_count  probability_sum  match_id_count   \n",
       "team_id                                                            \n",
       "788              7           28        10.425293              28  \\\n",
       "779              9           24        11.112382              24   \n",
       "797              4           14         4.931209              14   \n",
       "1839             5           12         5.985026              12   \n",
       "772              2            4         2.315978               4   \n",
       "\n",
       "         player_id_first        team_first competition_name_first   \n",
       "team_id                                                             \n",
       "788                23774           Morocco         FIFA World Cup  \\\n",
       "779                19597         Argentina         FIFA World Cup   \n",
       "797                 5235              Iran         FIFA World Cup   \n",
       "1839               21881     United States         FIFA World Cup   \n",
       "772                 4353             Spain         FIFA World Cup   \n",
       "\n",
       "        season_name_first     ratio  \n",
       "team_id                              \n",
       "788                  2022  1.489328  \n",
       "779                  2022  1.234709  \n",
       "797                  2022  1.232802  \n",
       "1839                 2022  1.197005  \n",
       "772                  2022  1.157989  "
      ]
     },
     "execution_count": 166,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 167,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# probability_sum vs. label_sum plot\n",
    "\n",
    "# Extracting relevant columns\n",
    "probability_sum = df['probability_sum']\n",
    "label_sum = df['label_sum']\n",
    "team_names = df.index.map(df['team_first']).tolist()  # Map team IDs to country names\n",
    "competition_name = df['competition_name_first'].iloc[0]  # Assuming the competition name is the same for all rows\n",
    "season_name = df['season_name_first'].iloc[0] # Assuming the season name is the same for all rows\n",
    "\n",
    "# Plotting with different colors for different teams\n",
    "fig, ax = plt.subplots(figsize=(10, 6))\n",
    "scatter = ax.scatter(label_sum, probability_sum, color='blue', alpha=0.5)\n",
    "\n",
    "# Adding a diagonal line\n",
    "ax.plot([label_sum.min(), label_sum.max()], [probability_sum.min(), probability_sum.max()], linestyle='--', color='black', label='Diagonal line')\n",
    "\n",
    "# Annotating each point with the team name\n",
    "for i, team_name in enumerate(team_names):\n",
    "    ax.annotate(team_name, (label_sum.iloc[i], probability_sum.iloc[i]), textcoords=\"offset points\", xytext=(0, 5), ha='center')\n",
    "\n",
    "# Adding competition name and season name as captions\n",
    "caption_text = f'Competition: {competition_name}\\nSeason: {season_name}'\n",
    "fig.text(0.5, -0.1, caption_text, ha='center', fontsize=12, bbox=dict(facecolor='white', edgecolor='black', boxstyle='round,pad=0.5'))\n",
    "\n",
    "ax.set_title('Probability Sum vs Label Sum')\n",
    "ax.set_xlabel('Label Sum')\n",
    "ax.set_ylabel('Probability Sum')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 204,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Ratio Vs. Label Count Plot\n",
    "\n",
    "# Extracting relevant columns\n",
    "label_count = df['label_count'] / df['match_count']\n",
    "ratio = df['ratio']\n",
    "team_names = df.index.map(df['team_first']).tolist()  # Map team IDs to country names\n",
    "competition_name = df['competition_name_first'].iloc[0]  # Assuming the competition name is the same for all rows\n",
    "season_name = df['season_name_first'].iloc[0]\n",
    "\n",
    "# Plotting with different colors for different teams\n",
    "fig, ax = plt.subplots(figsize=(10, 6))\n",
    "scatter = ax.scatter(label_count, ratio, color='green', alpha=0.5)\n",
    "\n",
    "# Adding a diagonal line\n",
    "ax.plot([label_count.min(), label_count.max()], [ratio.min(), ratio.max()], linestyle='--', color='blue', label='Diagonal line')\n",
    "\n",
    "# Annotating each point with the team name\n",
    "for i, team_name in enumerate(team_names):\n",
    "    ax.annotate(team_name, (label_count.iloc[i], ratio.iloc[i]), textcoords=\"offset points\", xytext=(0, 5), ha='center')\n",
    "\n",
    "# Adding competition name and season name as captions\n",
    "caption_text = f'Competition: {competition_name}\\nSeason: {season_name}'\n",
    "fig.text(0.5, -0.1, caption_text, ha='center', fontsize=12, bbox=dict(facecolor='white', edgecolor='black', boxstyle='round,pad=0.5'))\n",
    "\n",
    "ax.set_title('Ratio (expected yellow cards / actual yellow cards) vs Fouls per match')\n",
    "ax.set_xlabel('Fouls per match')\n",
    "ax.set_ylabel('Ratio (xB/B)')\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 169,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# probability_sum vs. label_sum plot\n",
    "\n",
    "# Extracting relevant columns\n",
    "probability_sum = df['probability_sum'] / df['match_id_count']\n",
    "label_sum = df['label_sum'] / df['match_id_count']\n",
    "\n",
    "team_names = df.index.map(df['team_first']).tolist()  # Map team IDs to country names\n",
    "competition_name = df['competition_name_first'].iloc[0]  # Assuming the competition name is the same for all rows\n",
    "season_name = df['season_name_first'].iloc[0] # Assuming the season name is the same for all rows\n",
    "\n",
    "# Plotting with different colors for different teams\n",
    "fig, ax = plt.subplots(figsize=(10, 6))\n",
    "scatter = ax.scatter(label_sum, probability_sum, color='blue', alpha=0.5)\n",
    "\n",
    "# Adding a diagonal line\n",
    "ax.plot([label_sum.min(), label_sum.max()], [probability_sum.min(), probability_sum.max()], linestyle='--', color='black', label='Diagonal line')\n",
    "\n",
    "# Annotating each point with the team name\n",
    "for i, team_name in enumerate(team_names):\n",
    "    ax.annotate(team_name, (label_sum.iloc[i], probability_sum.iloc[i]), textcoords=\"offset points\", xytext=(0, 5), ha='center')\n",
    "\n",
    "# Adding competition name and season name as captions\n",
    "caption_text = f'Competition: {competition_name}\\nSeason: {season_name}'\n",
    "fig.text(0.5, -0.1, caption_text, ha='center', fontsize=12, bbox=dict(facecolor='white', edgecolor='black', boxstyle='round,pad=0.5'))\n",
    "\n",
    "ax.set_title('Probability Sum per match vs Label Sum per match')\n",
    "ax.set_xlabel('Label Sum')\n",
    "ax.set_ylabel('Probability Sum')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 170,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "team_id\n",
       "788              Morocco\n",
       "779            Argentina\n",
       "797                 Iran\n",
       "1839       United States\n",
       "772                Spain\n",
       "768              England\n",
       "789               Poland\n",
       "941          Netherlands\n",
       "771               France\n",
       "773          Switzerland\n",
       "792            Australia\n",
       "907                Wales\n",
       "786               Serbia\n",
       "3566               Qatar\n",
       "791          South Korea\n",
       "794               Mexico\n",
       "781               Brazil\n",
       "785              Croatia\n",
       "783              Uruguay\n",
       "770              Germany\n",
       "776              Denmark\n",
       "778                Japan\n",
       "777              Tunisia\n",
       "3565             Ecuador\n",
       "2722            Cameroon\n",
       "795           Costa Rica\n",
       "4885               Ghana\n",
       "799         Saudi Arabia\n",
       "787              Senegal\n",
       "780             Portugal\n",
       "782              Belgium\n",
       "1833              Canada\n",
       "Name: team_first, dtype: object"
      ]
     },
     "execution_count": 170,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['team_first']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 173,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>label_sum</th>\n",
       "      <th>label_count</th>\n",
       "      <th>probability_sum</th>\n",
       "      <th>match_id_count</th>\n",
       "      <th>player_id_first</th>\n",
       "      <th>team_first</th>\n",
       "      <th>competition_name_first</th>\n",
       "      <th>season_name_first</th>\n",
       "      <th>ratio</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>team_id</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>788</th>\n",
       "      <td>7</td>\n",
       "      <td>28</td>\n",
       "      <td>10.425293</td>\n",
       "      <td>28</td>\n",
       "      <td>23774</td>\n",
       "      <td>Morocco</td>\n",
       "      <td>FIFA World Cup</td>\n",
       "      <td>2022</td>\n",
       "      <td>1.489328</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>779</th>\n",
       "      <td>9</td>\n",
       "      <td>24</td>\n",
       "      <td>11.112382</td>\n",
       "      <td>24</td>\n",
       "      <td>19597</td>\n",
       "      <td>Argentina</td>\n",
       "      <td>FIFA World Cup</td>\n",
       "      <td>2022</td>\n",
       "      <td>1.234709</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>797</th>\n",
       "      <td>4</td>\n",
       "      <td>14</td>\n",
       "      <td>4.931209</td>\n",
       "      <td>14</td>\n",
       "      <td>5235</td>\n",
       "      <td>Iran</td>\n",
       "      <td>FIFA World Cup</td>\n",
       "      <td>2022</td>\n",
       "      <td>1.232802</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1839</th>\n",
       "      <td>5</td>\n",
       "      <td>12</td>\n",
       "      <td>5.985026</td>\n",
       "      <td>12</td>\n",
       "      <td>21881</td>\n",
       "      <td>United States</td>\n",
       "      <td>FIFA World Cup</td>\n",
       "      <td>2022</td>\n",
       "      <td>1.197005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>772</th>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>2.315978</td>\n",
       "      <td>4</td>\n",
       "      <td>4353</td>\n",
       "      <td>Spain</td>\n",
       "      <td>FIFA World Cup</td>\n",
       "      <td>2022</td>\n",
       "      <td>1.157989</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>768</th>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>1.140764</td>\n",
       "      <td>6</td>\n",
       "      <td>3336</td>\n",
       "      <td>England</td>\n",
       "      <td>FIFA World Cup</td>\n",
       "      <td>2022</td>\n",
       "      <td>1.140764</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>789</th>\n",
       "      <td>7</td>\n",
       "      <td>17</td>\n",
       "      <td>7.955665</td>\n",
       "      <td>17</td>\n",
       "      <td>11737</td>\n",
       "      <td>Poland</td>\n",
       "      <td>FIFA World Cup</td>\n",
       "      <td>2022</td>\n",
       "      <td>1.136524</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>941</th>\n",
       "      <td>4</td>\n",
       "      <td>17</td>\n",
       "      <td>4.436334</td>\n",
       "      <td>17</td>\n",
       "      <td>2988</td>\n",
       "      <td>Netherlands</td>\n",
       "      <td>FIFA World Cup</td>\n",
       "      <td>2022</td>\n",
       "      <td>1.109084</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>771</th>\n",
       "      <td>6</td>\n",
       "      <td>16</td>\n",
       "      <td>6.585887</td>\n",
       "      <td>16</td>\n",
       "      <td>5477</td>\n",
       "      <td>France</td>\n",
       "      <td>FIFA World Cup</td>\n",
       "      <td>2022</td>\n",
       "      <td>1.097648</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>773</th>\n",
       "      <td>8</td>\n",
       "      <td>15</td>\n",
       "      <td>8.640551</td>\n",
       "      <td>15</td>\n",
       "      <td>7796</td>\n",
       "      <td>Switzerland</td>\n",
       "      <td>FIFA World Cup</td>\n",
       "      <td>2022</td>\n",
       "      <td>1.080069</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>792</th>\n",
       "      <td>7</td>\n",
       "      <td>15</td>\n",
       "      <td>7.403213</td>\n",
       "      <td>15</td>\n",
       "      <td>3281</td>\n",
       "      <td>Australia</td>\n",
       "      <td>FIFA World Cup</td>\n",
       "      <td>2022</td>\n",
       "      <td>1.057602</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>907</th>\n",
       "      <td>5</td>\n",
       "      <td>8</td>\n",
       "      <td>5.167878</td>\n",
       "      <td>8</td>\n",
       "      <td>6399</td>\n",
       "      <td>Wales</td>\n",
       "      <td>FIFA World Cup</td>\n",
       "      <td>2022</td>\n",
       "      <td>1.033576</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>786</th>\n",
       "      <td>7</td>\n",
       "      <td>11</td>\n",
       "      <td>7.001335</td>\n",
       "      <td>11</td>\n",
       "      <td>6687</td>\n",
       "      <td>Serbia</td>\n",
       "      <td>FIFA World Cup</td>\n",
       "      <td>2022</td>\n",
       "      <td>1.000191</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3566</th>\n",
       "      <td>7</td>\n",
       "      <td>12</td>\n",
       "      <td>6.954691</td>\n",
       "      <td>12</td>\n",
       "      <td>124496</td>\n",
       "      <td>Qatar</td>\n",
       "      <td>FIFA World Cup</td>\n",
       "      <td>2022</td>\n",
       "      <td>0.993527</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>791</th>\n",
       "      <td>5</td>\n",
       "      <td>9</td>\n",
       "      <td>4.942216</td>\n",
       "      <td>9</td>\n",
       "      <td>40542</td>\n",
       "      <td>South Korea</td>\n",
       "      <td>FIFA World Cup</td>\n",
       "      <td>2022</td>\n",
       "      <td>0.988443</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>794</th>\n",
       "      <td>6</td>\n",
       "      <td>9</td>\n",
       "      <td>5.879191</td>\n",
       "      <td>9</td>\n",
       "      <td>5567</td>\n",
       "      <td>Mexico</td>\n",
       "      <td>FIFA World Cup</td>\n",
       "      <td>2022</td>\n",
       "      <td>0.979865</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>781</th>\n",
       "      <td>5</td>\n",
       "      <td>8</td>\n",
       "      <td>4.867068</td>\n",
       "      <td>8</td>\n",
       "      <td>3280</td>\n",
       "      <td>Brazil</td>\n",
       "      <td>FIFA World Cup</td>\n",
       "      <td>2022</td>\n",
       "      <td>0.973414</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>785</th>\n",
       "      <td>5</td>\n",
       "      <td>17</td>\n",
       "      <td>4.788166</td>\n",
       "      <td>17</td>\n",
       "      <td>16527</td>\n",
       "      <td>Croatia</td>\n",
       "      <td>FIFA World Cup</td>\n",
       "      <td>2022</td>\n",
       "      <td>0.957633</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>783</th>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>2.843757</td>\n",
       "      <td>5</td>\n",
       "      <td>5248</td>\n",
       "      <td>Uruguay</td>\n",
       "      <td>FIFA World Cup</td>\n",
       "      <td>2022</td>\n",
       "      <td>0.947919</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>770</th>\n",
       "      <td>3</td>\n",
       "      <td>8</td>\n",
       "      <td>2.780058</td>\n",
       "      <td>8</td>\n",
       "      <td>5579</td>\n",
       "      <td>Germany</td>\n",
       "      <td>FIFA World Cup</td>\n",
       "      <td>2022</td>\n",
       "      <td>0.926686</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>776</th>\n",
       "      <td>5</td>\n",
       "      <td>11</td>\n",
       "      <td>4.564686</td>\n",
       "      <td>11</td>\n",
       "      <td>16294</td>\n",
       "      <td>Denmark</td>\n",
       "      <td>FIFA World Cup</td>\n",
       "      <td>2022</td>\n",
       "      <td>0.912937</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>778</th>\n",
       "      <td>6</td>\n",
       "      <td>12</td>\n",
       "      <td>5.436819</td>\n",
       "      <td>12</td>\n",
       "      <td>37209</td>\n",
       "      <td>Japan</td>\n",
       "      <td>FIFA World Cup</td>\n",
       "      <td>2022</td>\n",
       "      <td>0.906137</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>777</th>\n",
       "      <td>4</td>\n",
       "      <td>7</td>\n",
       "      <td>3.619248</td>\n",
       "      <td>7</td>\n",
       "      <td>44955</td>\n",
       "      <td>Tunisia</td>\n",
       "      <td>FIFA World Cup</td>\n",
       "      <td>2022</td>\n",
       "      <td>0.904812</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3565</th>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>2.685313</td>\n",
       "      <td>4</td>\n",
       "      <td>38004</td>\n",
       "      <td>Ecuador</td>\n",
       "      <td>FIFA World Cup</td>\n",
       "      <td>2022</td>\n",
       "      <td>0.895104</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2722</th>\n",
       "      <td>6</td>\n",
       "      <td>10</td>\n",
       "      <td>5.292002</td>\n",
       "      <td>10</td>\n",
       "      <td>7472</td>\n",
       "      <td>Cameroon</td>\n",
       "      <td>FIFA World Cup</td>\n",
       "      <td>2022</td>\n",
       "      <td>0.882000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>795</th>\n",
       "      <td>6</td>\n",
       "      <td>13</td>\n",
       "      <td>5.267801</td>\n",
       "      <td>13</td>\n",
       "      <td>132497</td>\n",
       "      <td>Costa Rica</td>\n",
       "      <td>FIFA World Cup</td>\n",
       "      <td>2022</td>\n",
       "      <td>0.877967</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4885</th>\n",
       "      <td>7</td>\n",
       "      <td>13</td>\n",
       "      <td>6.074039</td>\n",
       "      <td>13</td>\n",
       "      <td>3709</td>\n",
       "      <td>Ghana</td>\n",
       "      <td>FIFA World Cup</td>\n",
       "      <td>2022</td>\n",
       "      <td>0.867720</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>799</th>\n",
       "      <td>9</td>\n",
       "      <td>12</td>\n",
       "      <td>7.524679</td>\n",
       "      <td>12</td>\n",
       "      <td>51469</td>\n",
       "      <td>Saudi Arabia</td>\n",
       "      <td>FIFA World Cup</td>\n",
       "      <td>2022</td>\n",
       "      <td>0.836075</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>787</th>\n",
       "      <td>7</td>\n",
       "      <td>9</td>\n",
       "      <td>5.780315</td>\n",
       "      <td>9</td>\n",
       "      <td>3436</td>\n",
       "      <td>Senegal</td>\n",
       "      <td>FIFA World Cup</td>\n",
       "      <td>2022</td>\n",
       "      <td>0.825759</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>780</th>\n",
       "      <td>5</td>\n",
       "      <td>9</td>\n",
       "      <td>3.853684</td>\n",
       "      <td>9</td>\n",
       "      <td>34639</td>\n",
       "      <td>Portugal</td>\n",
       "      <td>FIFA World Cup</td>\n",
       "      <td>2022</td>\n",
       "      <td>0.770737</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>782</th>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>2.933973</td>\n",
       "      <td>5</td>\n",
       "      <td>48347</td>\n",
       "      <td>Belgium</td>\n",
       "      <td>FIFA World Cup</td>\n",
       "      <td>2022</td>\n",
       "      <td>0.733493</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1833</th>\n",
       "      <td>7</td>\n",
       "      <td>10</td>\n",
       "      <td>4.487347</td>\n",
       "      <td>10</td>\n",
       "      <td>24024</td>\n",
       "      <td>Canada</td>\n",
       "      <td>FIFA World Cup</td>\n",
       "      <td>2022</td>\n",
       "      <td>0.641050</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         label_sum  label_count  probability_sum  match_id_count   \n",
       "team_id                                                            \n",
       "788              7           28        10.425293              28  \\\n",
       "779              9           24        11.112382              24   \n",
       "797              4           14         4.931209              14   \n",
       "1839             5           12         5.985026              12   \n",
       "772              2            4         2.315978               4   \n",
       "768              1            6         1.140764               6   \n",
       "789              7           17         7.955665              17   \n",
       "941              4           17         4.436334              17   \n",
       "771              6           16         6.585887              16   \n",
       "773              8           15         8.640551              15   \n",
       "792              7           15         7.403213              15   \n",
       "907              5            8         5.167878               8   \n",
       "786              7           11         7.001335              11   \n",
       "3566             7           12         6.954691              12   \n",
       "791              5            9         4.942216               9   \n",
       "794              6            9         5.879191               9   \n",
       "781              5            8         4.867068               8   \n",
       "785              5           17         4.788166              17   \n",
       "783              3            5         2.843757               5   \n",
       "770              3            8         2.780058               8   \n",
       "776              5           11         4.564686              11   \n",
       "778              6           12         5.436819              12   \n",
       "777              4            7         3.619248               7   \n",
       "3565             3            4         2.685313               4   \n",
       "2722             6           10         5.292002              10   \n",
       "795              6           13         5.267801              13   \n",
       "4885             7           13         6.074039              13   \n",
       "799              9           12         7.524679              12   \n",
       "787              7            9         5.780315               9   \n",
       "780              5            9         3.853684               9   \n",
       "782              4            5         2.933973               5   \n",
       "1833             7           10         4.487347              10   \n",
       "\n",
       "         player_id_first        team_first competition_name_first   \n",
       "team_id                                                             \n",
       "788                23774           Morocco         FIFA World Cup  \\\n",
       "779                19597         Argentina         FIFA World Cup   \n",
       "797                 5235              Iran         FIFA World Cup   \n",
       "1839               21881     United States         FIFA World Cup   \n",
       "772                 4353             Spain         FIFA World Cup   \n",
       "768                 3336           England         FIFA World Cup   \n",
       "789                11737            Poland         FIFA World Cup   \n",
       "941                 2988       Netherlands         FIFA World Cup   \n",
       "771                 5477            France         FIFA World Cup   \n",
       "773                 7796       Switzerland         FIFA World Cup   \n",
       "792                 3281         Australia         FIFA World Cup   \n",
       "907                 6399             Wales         FIFA World Cup   \n",
       "786                 6687            Serbia         FIFA World Cup   \n",
       "3566              124496             Qatar         FIFA World Cup   \n",
       "791                40542       South Korea         FIFA World Cup   \n",
       "794                 5567            Mexico         FIFA World Cup   \n",
       "781                 3280            Brazil         FIFA World Cup   \n",
       "785                16527           Croatia         FIFA World Cup   \n",
       "783                 5248           Uruguay         FIFA World Cup   \n",
       "770                 5579           Germany         FIFA World Cup   \n",
       "776                16294           Denmark         FIFA World Cup   \n",
       "778                37209             Japan         FIFA World Cup   \n",
       "777                44955           Tunisia         FIFA World Cup   \n",
       "3565               38004           Ecuador         FIFA World Cup   \n",
       "2722                7472          Cameroon         FIFA World Cup   \n",
       "795               132497        Costa Rica         FIFA World Cup   \n",
       "4885                3709             Ghana         FIFA World Cup   \n",
       "799                51469      Saudi Arabia         FIFA World Cup   \n",
       "787                 3436           Senegal         FIFA World Cup   \n",
       "780                34639          Portugal         FIFA World Cup   \n",
       "782                48347           Belgium         FIFA World Cup   \n",
       "1833               24024            Canada         FIFA World Cup   \n",
       "\n",
       "        season_name_first     ratio  \n",
       "team_id                              \n",
       "788                  2022  1.489328  \n",
       "779                  2022  1.234709  \n",
       "797                  2022  1.232802  \n",
       "1839                 2022  1.197005  \n",
       "772                  2022  1.157989  \n",
       "768                  2022  1.140764  \n",
       "789                  2022  1.136524  \n",
       "941                  2022  1.109084  \n",
       "771                  2022  1.097648  \n",
       "773                  2022  1.080069  \n",
       "792                  2022  1.057602  \n",
       "907                  2022  1.033576  \n",
       "786                  2022  1.000191  \n",
       "3566                 2022  0.993527  \n",
       "791                  2022  0.988443  \n",
       "794                  2022  0.979865  \n",
       "781                  2022  0.973414  \n",
       "785                  2022  0.957633  \n",
       "783                  2022  0.947919  \n",
       "770                  2022  0.926686  \n",
       "776                  2022  0.912937  \n",
       "778                  2022  0.906137  \n",
       "777                  2022  0.904812  \n",
       "3565                 2022  0.895104  \n",
       "2722                 2022  0.882000  \n",
       "795                  2022  0.877967  \n",
       "4885                 2022  0.867720  \n",
       "799                  2022  0.836075  \n",
       "787                  2022  0.825759  \n",
       "780                  2022  0.770737  \n",
       "782                  2022  0.733493  \n",
       "1833                 2022  0.641050  "
      ]
     },
     "execution_count": 173,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head(32)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 172,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "32"
      ]
     },
     "execution_count": 172,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 183,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Counter({'Argentina': 7, 'Morocco': 7, 'France': 7, 'Croatia': 7, 'Brazil': 5, 'Netherlands': 5, 'Portugal': 5, 'England': 5, 'Switzerland': 4, 'Australia': 4, 'Senegal': 4, 'SouthKorea': 4, 'Poland': 4, 'Spain': 4, 'Japan': 4, 'UnitedStates': 4, 'Serbia': 3, 'Denmark': 3, 'Tunisia': 3, 'Ecuador': 3, 'Uruguay': 3, 'SaudiArabia': 3, 'Mexico': 3, 'Qatar': 3, 'Germany': 3, 'Cameroon': 3, 'CostaRica': 3, 'Belgium': 3, 'Wales': 3, 'Ghana': 3, 'Canada': 3, 'Iran': 3})\n"
     ]
    }
   ],
   "source": [
    "all = \"\"\"\n",
    "Serbia Switzerland\n",
    "Argentina Australia\n",
    "Australia Denmark\n",
    "Brazil Serbia\n",
    "Tunisia Australia\n",
    "Ecuador Senegal\n",
    "Netherlands Argentina\n",
    "Uruguay SouthKorea\n",
    "Morocco Portugal\n",
    "Argentina France\n",
    "SaudiArabia Mexico\n",
    "Poland Argentina\n",
    "France Denmark\n",
    "Argentina Mexico\n",
    "Brazil Switzerland\n",
    "Netherlands Qatar\n",
    "Portugal Switzerland\n",
    "England Senegal\n",
    "Croatia Morocco\n",
    "Argentina Croatia\n",
    "England France\n",
    "France Morocco\n",
    "Croatia Brazil\n",
    "Morocco Spain\n",
    "Japan Croatia\n",
    "Brazil SouthKorea\n",
    "France Poland\n",
    "Netherlands UnitedStates\n",
    "Portugal Uruguay\n",
    "Spain Germany\n",
    "Cameroon Serbia\n",
    "Japan CostaRica\n",
    "Belgium Morocco\n",
    "Germany Japan\n",
    "UnitedStates Wales\n",
    "Qatar Ecuador\n",
    "Qatar Senegal\n",
    "Argentina SaudiArabia\n",
    "SouthKorea Ghana\n",
    "Portugal Ghana\n",
    "Poland SaudiArabia\n",
    "Croatia Belgium\n",
    "Ghana Uruguay\n",
    "CostaRica Germany\n",
    "Spain CostaRica\n",
    "Switzerland Cameroon\n",
    "Senegal Netherlands\n",
    "Croatia Canada\n",
    "Cameroon Brazil\n",
    "France Australia\n",
    "Iran UnitedStates\n",
    "Morocco Croatia\n",
    "Canada Morocco\n",
    "Tunisia France\n",
    "Netherlands Ecuador\n",
    "Wales Iran\n",
    "England UnitedStates\n",
    "England Iran\n",
    "Belgium Canada\n",
    "Mexico Poland\n",
    "SouthKorea Portugal\n",
    "Wales England\n",
    "Japan Spain\n",
    "Denmark Tunisia\n",
    "\"\"\"\n",
    "\n",
    "# print count of each team\n",
    "import re\n",
    "from collections import Counter\n",
    "teams = re.findall(r'\\w+', all)\n",
    "print(Counter(teams))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 184,
   "metadata": {},
   "outputs": [],
   "source": [
    "# {'Argentina': 7, 'Morocco': 7, 'France': 7, 'Croatia': 7, 'Brazil': 5, 'Netherlands': 5, 'Portugal': 5, 'England': 5, 'Switzerland': 4, 'Australia': 4, 'Senegal': 4, 'SouthKorea': 4, 'Poland': 4, 'Spain': 4, 'Japan': 4, 'UnitedStates': 4, 'Serbia': 3, 'Denmark': 3, 'Tunisia': 3, 'Ecuador': 3, 'Uruguay': 3, 'SaudiArabia': 3, 'Mexico': 3, 'Qatar': 3, 'Germany': 3, 'Cameroon': 3, 'CostaRica': 3, 'Belgium': 3, 'Wales': 3, 'Ghana': 3, 'Canada': 3, 'Iran': 3}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 187,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/var/folders/w2/cwqdzbx140l41n8zvm81gvbh0000gn/T/ipykernel_86108/3579095910.py:2: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  df['team'] = df['team_first'].apply(lambda x: x.replace(\" \", \"\"))\n",
      "/var/folders/w2/cwqdzbx140l41n8zvm81gvbh0000gn/T/ipykernel_86108/3579095910.py:5: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  df['match_count'] = df['team'].map(Counter(teams))\n"
     ]
    }
   ],
   "source": [
    "# add column team to df which is team_first but with spaces removed\n",
    "df['team'] = df['team_first'].apply(lambda x: x.replace(\" \", \"\"))\n",
    "\n",
    "# now add match_count column to df. Use {'Argentina': 7, 'Morocco': 7, 'France': 7, 'Croatia': 7, 'Brazil': 5, 'Netherlands': 5, 'Portugal': 5, 'England': 5, 'Switzerland': 4, 'Australia': 4, 'Senegal': 4, 'SouthKorea': 4, 'Poland': 4, 'Spain': 4, 'Japan': 4, 'UnitedStates': 4, 'Serbia': 3, 'Denmark': 3, 'Tunisia': 3, 'Ecuador': 3, 'Uruguay': 3, 'SaudiArabia': 3, 'Mexico': 3, 'Qatar': 3, 'Germany': 3, 'Cameroon': 3, 'CostaRica': 3, 'Belgium': 3, 'Wales': 3, 'Ghana': 3, 'Canada': 3, 'Iran': 3} to get match_count for each team\n",
    "df['match_count'] = df['team'].map(Counter(teams))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 188,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>label_sum</th>\n",
       "      <th>label_count</th>\n",
       "      <th>probability_sum</th>\n",
       "      <th>match_id_count</th>\n",
       "      <th>player_id_first</th>\n",
       "      <th>team_first</th>\n",
       "      <th>competition_name_first</th>\n",
       "      <th>season_name_first</th>\n",
       "      <th>ratio</th>\n",
       "      <th>team</th>\n",
       "      <th>match_count</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>team_id</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>788</th>\n",
       "      <td>7</td>\n",
       "      <td>28</td>\n",
       "      <td>10.425293</td>\n",
       "      <td>28</td>\n",
       "      <td>23774</td>\n",
       "      <td>Morocco</td>\n",
       "      <td>FIFA World Cup</td>\n",
       "      <td>2022</td>\n",
       "      <td>1.489328</td>\n",
       "      <td>Morocco</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>779</th>\n",
       "      <td>9</td>\n",
       "      <td>24</td>\n",
       "      <td>11.112382</td>\n",
       "      <td>24</td>\n",
       "      <td>19597</td>\n",
       "      <td>Argentina</td>\n",
       "      <td>FIFA World Cup</td>\n",
       "      <td>2022</td>\n",
       "      <td>1.234709</td>\n",
       "      <td>Argentina</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>797</th>\n",
       "      <td>4</td>\n",
       "      <td>14</td>\n",
       "      <td>4.931209</td>\n",
       "      <td>14</td>\n",
       "      <td>5235</td>\n",
       "      <td>Iran</td>\n",
       "      <td>FIFA World Cup</td>\n",
       "      <td>2022</td>\n",
       "      <td>1.232802</td>\n",
       "      <td>Iran</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1839</th>\n",
       "      <td>5</td>\n",
       "      <td>12</td>\n",
       "      <td>5.985026</td>\n",
       "      <td>12</td>\n",
       "      <td>21881</td>\n",
       "      <td>United States</td>\n",
       "      <td>FIFA World Cup</td>\n",
       "      <td>2022</td>\n",
       "      <td>1.197005</td>\n",
       "      <td>UnitedStates</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>772</th>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>2.315978</td>\n",
       "      <td>4</td>\n",
       "      <td>4353</td>\n",
       "      <td>Spain</td>\n",
       "      <td>FIFA World Cup</td>\n",
       "      <td>2022</td>\n",
       "      <td>1.157989</td>\n",
       "      <td>Spain</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>768</th>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>1.140764</td>\n",
       "      <td>6</td>\n",
       "      <td>3336</td>\n",
       "      <td>England</td>\n",
       "      <td>FIFA World Cup</td>\n",
       "      <td>2022</td>\n",
       "      <td>1.140764</td>\n",
       "      <td>England</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>789</th>\n",
       "      <td>7</td>\n",
       "      <td>17</td>\n",
       "      <td>7.955665</td>\n",
       "      <td>17</td>\n",
       "      <td>11737</td>\n",
       "      <td>Poland</td>\n",
       "      <td>FIFA World Cup</td>\n",
       "      <td>2022</td>\n",
       "      <td>1.136524</td>\n",
       "      <td>Poland</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>941</th>\n",
       "      <td>4</td>\n",
       "      <td>17</td>\n",
       "      <td>4.436334</td>\n",
       "      <td>17</td>\n",
       "      <td>2988</td>\n",
       "      <td>Netherlands</td>\n",
       "      <td>FIFA World Cup</td>\n",
       "      <td>2022</td>\n",
       "      <td>1.109084</td>\n",
       "      <td>Netherlands</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>771</th>\n",
       "      <td>6</td>\n",
       "      <td>16</td>\n",
       "      <td>6.585887</td>\n",
       "      <td>16</td>\n",
       "      <td>5477</td>\n",
       "      <td>France</td>\n",
       "      <td>FIFA World Cup</td>\n",
       "      <td>2022</td>\n",
       "      <td>1.097648</td>\n",
       "      <td>France</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>773</th>\n",
       "      <td>8</td>\n",
       "      <td>15</td>\n",
       "      <td>8.640551</td>\n",
       "      <td>15</td>\n",
       "      <td>7796</td>\n",
       "      <td>Switzerland</td>\n",
       "      <td>FIFA World Cup</td>\n",
       "      <td>2022</td>\n",
       "      <td>1.080069</td>\n",
       "      <td>Switzerland</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>792</th>\n",
       "      <td>7</td>\n",
       "      <td>15</td>\n",
       "      <td>7.403213</td>\n",
       "      <td>15</td>\n",
       "      <td>3281</td>\n",
       "      <td>Australia</td>\n",
       "      <td>FIFA World Cup</td>\n",
       "      <td>2022</td>\n",
       "      <td>1.057602</td>\n",
       "      <td>Australia</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>907</th>\n",
       "      <td>5</td>\n",
       "      <td>8</td>\n",
       "      <td>5.167878</td>\n",
       "      <td>8</td>\n",
       "      <td>6399</td>\n",
       "      <td>Wales</td>\n",
       "      <td>FIFA World Cup</td>\n",
       "      <td>2022</td>\n",
       "      <td>1.033576</td>\n",
       "      <td>Wales</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>786</th>\n",
       "      <td>7</td>\n",
       "      <td>11</td>\n",
       "      <td>7.001335</td>\n",
       "      <td>11</td>\n",
       "      <td>6687</td>\n",
       "      <td>Serbia</td>\n",
       "      <td>FIFA World Cup</td>\n",
       "      <td>2022</td>\n",
       "      <td>1.000191</td>\n",
       "      <td>Serbia</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3566</th>\n",
       "      <td>7</td>\n",
       "      <td>12</td>\n",
       "      <td>6.954691</td>\n",
       "      <td>12</td>\n",
       "      <td>124496</td>\n",
       "      <td>Qatar</td>\n",
       "      <td>FIFA World Cup</td>\n",
       "      <td>2022</td>\n",
       "      <td>0.993527</td>\n",
       "      <td>Qatar</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>791</th>\n",
       "      <td>5</td>\n",
       "      <td>9</td>\n",
       "      <td>4.942216</td>\n",
       "      <td>9</td>\n",
       "      <td>40542</td>\n",
       "      <td>South Korea</td>\n",
       "      <td>FIFA World Cup</td>\n",
       "      <td>2022</td>\n",
       "      <td>0.988443</td>\n",
       "      <td>SouthKorea</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>794</th>\n",
       "      <td>6</td>\n",
       "      <td>9</td>\n",
       "      <td>5.879191</td>\n",
       "      <td>9</td>\n",
       "      <td>5567</td>\n",
       "      <td>Mexico</td>\n",
       "      <td>FIFA World Cup</td>\n",
       "      <td>2022</td>\n",
       "      <td>0.979865</td>\n",
       "      <td>Mexico</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>781</th>\n",
       "      <td>5</td>\n",
       "      <td>8</td>\n",
       "      <td>4.867068</td>\n",
       "      <td>8</td>\n",
       "      <td>3280</td>\n",
       "      <td>Brazil</td>\n",
       "      <td>FIFA World Cup</td>\n",
       "      <td>2022</td>\n",
       "      <td>0.973414</td>\n",
       "      <td>Brazil</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>785</th>\n",
       "      <td>5</td>\n",
       "      <td>17</td>\n",
       "      <td>4.788166</td>\n",
       "      <td>17</td>\n",
       "      <td>16527</td>\n",
       "      <td>Croatia</td>\n",
       "      <td>FIFA World Cup</td>\n",
       "      <td>2022</td>\n",
       "      <td>0.957633</td>\n",
       "      <td>Croatia</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>783</th>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>2.843757</td>\n",
       "      <td>5</td>\n",
       "      <td>5248</td>\n",
       "      <td>Uruguay</td>\n",
       "      <td>FIFA World Cup</td>\n",
       "      <td>2022</td>\n",
       "      <td>0.947919</td>\n",
       "      <td>Uruguay</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>770</th>\n",
       "      <td>3</td>\n",
       "      <td>8</td>\n",
       "      <td>2.780058</td>\n",
       "      <td>8</td>\n",
       "      <td>5579</td>\n",
       "      <td>Germany</td>\n",
       "      <td>FIFA World Cup</td>\n",
       "      <td>2022</td>\n",
       "      <td>0.926686</td>\n",
       "      <td>Germany</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>776</th>\n",
       "      <td>5</td>\n",
       "      <td>11</td>\n",
       "      <td>4.564686</td>\n",
       "      <td>11</td>\n",
       "      <td>16294</td>\n",
       "      <td>Denmark</td>\n",
       "      <td>FIFA World Cup</td>\n",
       "      <td>2022</td>\n",
       "      <td>0.912937</td>\n",
       "      <td>Denmark</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>778</th>\n",
       "      <td>6</td>\n",
       "      <td>12</td>\n",
       "      <td>5.436819</td>\n",
       "      <td>12</td>\n",
       "      <td>37209</td>\n",
       "      <td>Japan</td>\n",
       "      <td>FIFA World Cup</td>\n",
       "      <td>2022</td>\n",
       "      <td>0.906137</td>\n",
       "      <td>Japan</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>777</th>\n",
       "      <td>4</td>\n",
       "      <td>7</td>\n",
       "      <td>3.619248</td>\n",
       "      <td>7</td>\n",
       "      <td>44955</td>\n",
       "      <td>Tunisia</td>\n",
       "      <td>FIFA World Cup</td>\n",
       "      <td>2022</td>\n",
       "      <td>0.904812</td>\n",
       "      <td>Tunisia</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3565</th>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>2.685313</td>\n",
       "      <td>4</td>\n",
       "      <td>38004</td>\n",
       "      <td>Ecuador</td>\n",
       "      <td>FIFA World Cup</td>\n",
       "      <td>2022</td>\n",
       "      <td>0.895104</td>\n",
       "      <td>Ecuador</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2722</th>\n",
       "      <td>6</td>\n",
       "      <td>10</td>\n",
       "      <td>5.292002</td>\n",
       "      <td>10</td>\n",
       "      <td>7472</td>\n",
       "      <td>Cameroon</td>\n",
       "      <td>FIFA World Cup</td>\n",
       "      <td>2022</td>\n",
       "      <td>0.882000</td>\n",
       "      <td>Cameroon</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>795</th>\n",
       "      <td>6</td>\n",
       "      <td>13</td>\n",
       "      <td>5.267801</td>\n",
       "      <td>13</td>\n",
       "      <td>132497</td>\n",
       "      <td>Costa Rica</td>\n",
       "      <td>FIFA World Cup</td>\n",
       "      <td>2022</td>\n",
       "      <td>0.877967</td>\n",
       "      <td>CostaRica</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4885</th>\n",
       "      <td>7</td>\n",
       "      <td>13</td>\n",
       "      <td>6.074039</td>\n",
       "      <td>13</td>\n",
       "      <td>3709</td>\n",
       "      <td>Ghana</td>\n",
       "      <td>FIFA World Cup</td>\n",
       "      <td>2022</td>\n",
       "      <td>0.867720</td>\n",
       "      <td>Ghana</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>799</th>\n",
       "      <td>9</td>\n",
       "      <td>12</td>\n",
       "      <td>7.524679</td>\n",
       "      <td>12</td>\n",
       "      <td>51469</td>\n",
       "      <td>Saudi Arabia</td>\n",
       "      <td>FIFA World Cup</td>\n",
       "      <td>2022</td>\n",
       "      <td>0.836075</td>\n",
       "      <td>SaudiArabia</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>787</th>\n",
       "      <td>7</td>\n",
       "      <td>9</td>\n",
       "      <td>5.780315</td>\n",
       "      <td>9</td>\n",
       "      <td>3436</td>\n",
       "      <td>Senegal</td>\n",
       "      <td>FIFA World Cup</td>\n",
       "      <td>2022</td>\n",
       "      <td>0.825759</td>\n",
       "      <td>Senegal</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>780</th>\n",
       "      <td>5</td>\n",
       "      <td>9</td>\n",
       "      <td>3.853684</td>\n",
       "      <td>9</td>\n",
       "      <td>34639</td>\n",
       "      <td>Portugal</td>\n",
       "      <td>FIFA World Cup</td>\n",
       "      <td>2022</td>\n",
       "      <td>0.770737</td>\n",
       "      <td>Portugal</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>782</th>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>2.933973</td>\n",
       "      <td>5</td>\n",
       "      <td>48347</td>\n",
       "      <td>Belgium</td>\n",
       "      <td>FIFA World Cup</td>\n",
       "      <td>2022</td>\n",
       "      <td>0.733493</td>\n",
       "      <td>Belgium</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1833</th>\n",
       "      <td>7</td>\n",
       "      <td>10</td>\n",
       "      <td>4.487347</td>\n",
       "      <td>10</td>\n",
       "      <td>24024</td>\n",
       "      <td>Canada</td>\n",
       "      <td>FIFA World Cup</td>\n",
       "      <td>2022</td>\n",
       "      <td>0.641050</td>\n",
       "      <td>Canada</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         label_sum  label_count  probability_sum  match_id_count   \n",
       "team_id                                                            \n",
       "788              7           28        10.425293              28  \\\n",
       "779              9           24        11.112382              24   \n",
       "797              4           14         4.931209              14   \n",
       "1839             5           12         5.985026              12   \n",
       "772              2            4         2.315978               4   \n",
       "768              1            6         1.140764               6   \n",
       "789              7           17         7.955665              17   \n",
       "941              4           17         4.436334              17   \n",
       "771              6           16         6.585887              16   \n",
       "773              8           15         8.640551              15   \n",
       "792              7           15         7.403213              15   \n",
       "907              5            8         5.167878               8   \n",
       "786              7           11         7.001335              11   \n",
       "3566             7           12         6.954691              12   \n",
       "791              5            9         4.942216               9   \n",
       "794              6            9         5.879191               9   \n",
       "781              5            8         4.867068               8   \n",
       "785              5           17         4.788166              17   \n",
       "783              3            5         2.843757               5   \n",
       "770              3            8         2.780058               8   \n",
       "776              5           11         4.564686              11   \n",
       "778              6           12         5.436819              12   \n",
       "777              4            7         3.619248               7   \n",
       "3565             3            4         2.685313               4   \n",
       "2722             6           10         5.292002              10   \n",
       "795              6           13         5.267801              13   \n",
       "4885             7           13         6.074039              13   \n",
       "799              9           12         7.524679              12   \n",
       "787              7            9         5.780315               9   \n",
       "780              5            9         3.853684               9   \n",
       "782              4            5         2.933973               5   \n",
       "1833             7           10         4.487347              10   \n",
       "\n",
       "         player_id_first        team_first competition_name_first   \n",
       "team_id                                                             \n",
       "788                23774           Morocco         FIFA World Cup  \\\n",
       "779                19597         Argentina         FIFA World Cup   \n",
       "797                 5235              Iran         FIFA World Cup   \n",
       "1839               21881     United States         FIFA World Cup   \n",
       "772                 4353             Spain         FIFA World Cup   \n",
       "768                 3336           England         FIFA World Cup   \n",
       "789                11737            Poland         FIFA World Cup   \n",
       "941                 2988       Netherlands         FIFA World Cup   \n",
       "771                 5477            France         FIFA World Cup   \n",
       "773                 7796       Switzerland         FIFA World Cup   \n",
       "792                 3281         Australia         FIFA World Cup   \n",
       "907                 6399             Wales         FIFA World Cup   \n",
       "786                 6687            Serbia         FIFA World Cup   \n",
       "3566              124496             Qatar         FIFA World Cup   \n",
       "791                40542       South Korea         FIFA World Cup   \n",
       "794                 5567            Mexico         FIFA World Cup   \n",
       "781                 3280            Brazil         FIFA World Cup   \n",
       "785                16527           Croatia         FIFA World Cup   \n",
       "783                 5248           Uruguay         FIFA World Cup   \n",
       "770                 5579           Germany         FIFA World Cup   \n",
       "776                16294           Denmark         FIFA World Cup   \n",
       "778                37209             Japan         FIFA World Cup   \n",
       "777                44955           Tunisia         FIFA World Cup   \n",
       "3565               38004           Ecuador         FIFA World Cup   \n",
       "2722                7472          Cameroon         FIFA World Cup   \n",
       "795               132497        Costa Rica         FIFA World Cup   \n",
       "4885                3709             Ghana         FIFA World Cup   \n",
       "799                51469      Saudi Arabia         FIFA World Cup   \n",
       "787                 3436           Senegal         FIFA World Cup   \n",
       "780                34639          Portugal         FIFA World Cup   \n",
       "782                48347           Belgium         FIFA World Cup   \n",
       "1833               24024            Canada         FIFA World Cup   \n",
       "\n",
       "        season_name_first     ratio          team  match_count  \n",
       "team_id                                                         \n",
       "788                  2022  1.489328       Morocco            7  \n",
       "779                  2022  1.234709     Argentina            7  \n",
       "797                  2022  1.232802          Iran            3  \n",
       "1839                 2022  1.197005  UnitedStates            4  \n",
       "772                  2022  1.157989         Spain            4  \n",
       "768                  2022  1.140764       England            5  \n",
       "789                  2022  1.136524        Poland            4  \n",
       "941                  2022  1.109084   Netherlands            5  \n",
       "771                  2022  1.097648        France            7  \n",
       "773                  2022  1.080069   Switzerland            4  \n",
       "792                  2022  1.057602     Australia            4  \n",
       "907                  2022  1.033576         Wales            3  \n",
       "786                  2022  1.000191        Serbia            3  \n",
       "3566                 2022  0.993527         Qatar            3  \n",
       "791                  2022  0.988443    SouthKorea            4  \n",
       "794                  2022  0.979865        Mexico            3  \n",
       "781                  2022  0.973414        Brazil            5  \n",
       "785                  2022  0.957633       Croatia            7  \n",
       "783                  2022  0.947919       Uruguay            3  \n",
       "770                  2022  0.926686       Germany            3  \n",
       "776                  2022  0.912937       Denmark            3  \n",
       "778                  2022  0.906137         Japan            4  \n",
       "777                  2022  0.904812       Tunisia            3  \n",
       "3565                 2022  0.895104       Ecuador            3  \n",
       "2722                 2022  0.882000      Cameroon            3  \n",
       "795                  2022  0.877967     CostaRica            3  \n",
       "4885                 2022  0.867720         Ghana            3  \n",
       "799                  2022  0.836075   SaudiArabia            3  \n",
       "787                  2022  0.825759       Senegal            4  \n",
       "780                  2022  0.770737      Portugal            5  \n",
       "782                  2022  0.733493       Belgium            3  \n",
       "1833                 2022  0.641050        Canada            3  "
      ]
     },
     "execution_count": 188,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head(32)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 196,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# probability_sum vs. label_sum plot\n",
    "\n",
    "# Extracting relevant columns\n",
    "probability_sum = df['probability_sum'] / df['match_count']\n",
    "label_sum = df['label_sum'] / df['match_count']\n",
    "\n",
    "team_names = df.index.map(df['team_first']).tolist()  # Map team IDs to country names\n",
    "competition_name = df['competition_name_first'].iloc[0]  # Assuming the competition name is the same for all rows\n",
    "season_name = df['season_name_first'].iloc[0] # Assuming the season name is the same for all rows\n",
    "\n",
    "# Plotting with different colors for different teams\n",
    "fig, ax = plt.subplots(figsize=(10, 6))\n",
    "scatter = ax.scatter(label_sum, probability_sum, color='blue', alpha=0.5)\n",
    "\n",
    "# Adding a diagonal line\n",
    "ax.plot([label_sum.min(), label_sum.max()], [probability_sum.min(), probability_sum.max()], linestyle='--', color='black', label='Diagonal line')\n",
    "\n",
    "# Annotating each point with the team name\n",
    "for i, team_name in enumerate(team_names):\n",
    "    ax.annotate(team_name, (label_sum.iloc[i], probability_sum.iloc[i]), textcoords=\"offset points\", xytext=(0, 5), ha='center')\n",
    "\n",
    "# Adding competition name and season name as captions\n",
    "caption_text = f'Competition: {competition_name}\\nSeason: {season_name}'\n",
    "fig.text(0.5, -0.1, caption_text, ha='center', fontsize=12, bbox=dict(facecolor='white', edgecolor='black', boxstyle='round,pad=0.5'))\n",
    "\n",
    "ax.set_title('Probability Sum per match vs Label Sum per match')\n",
    "ax.set_xlabel('Label Sum')\n",
    "ax.set_ylabel('Probability Sum')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 198,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Importing the library\n",
    "from adjustText import adjust_text\n",
    "\n",
    "# probability_sum vs. label_sum plot\n",
    "\n",
    "# Extracting relevant columns\n",
    "probability_sum = df['probability_sum'] / df['match_count']\n",
    "label_sum = df['label_sum'] / df['match_count']\n",
    "\n",
    "team_names = df.index.map(df['team_first']).tolist()  # Map team IDs to country names\n",
    "competition_name = df['competition_name_first'].iloc[0]  # Assuming the competition name is the same for all rows\n",
    "season_name = df['season_name_first'].iloc[0] # Assuming the season name is the same for all rows\n",
    "\n",
    "# Plotting with different colors for different teams\n",
    "fig, ax = plt.subplots(figsize=(10, 6))\n",
    "scatter = ax.scatter(label_sum, probability_sum, color='blue', alpha=0.5)\n",
    "\n",
    "# Adding a diagonal line\n",
    "ax.plot([label_sum.min(), label_sum.max()], [probability_sum.min(), probability_sum.max()], linestyle='--', color='black', label='Diagonal line')\n",
    "\n",
    "# Annotating each point with the team name\n",
    "texts = []\n",
    "for i, team_name in enumerate(team_names):\n",
    "    texts.append(ax.text(label_sum.iloc[i], probability_sum.iloc[i], team_name))\n",
    "\n",
    "# Using adjust_text to prevent overlapping\n",
    "adjust_text(texts)\n",
    "\n",
    "# Adding competition name and season name as captions\n",
    "caption_text = f'Competition: {competition_name}\\nSeason: {season_name}'\n",
    "fig.text(0.5, -0.1, caption_text, ha='center', fontsize=12, bbox=dict(facecolor='white', edgecolor='black', boxstyle='round,pad=0.5'))\n",
    "\n",
    "ax.set_title('Probability Sum per match vs Yellow Cards per match')\n",
    "ax.set_xlabel('Yellow Cards per match')\n",
    "ax.set_ylabel('Probability Sum per match')\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}