{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Which Teams are Failing to Meet Expectations?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 135,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.ticker as ticker\n",
    "import matplotlib.patheffects as path_effects\n",
    "import matplotlib.font_manager as fm\n",
    "import matplotlib.colors as mcolors\n",
    "from matplotlib import cm\n",
    "from highlight_text import fig_text, ax_text\n",
    "from matplotlib.colors import LinearSegmentedColormap, Normalize\n",
    "from matplotlib import cm\n",
    "import matplotlib.gridspec as gridspec\n",
    "import numpy as np\n",
    "\n",
    "from PIL import Image\n",
    "import urllib\n",
    "import json\n",
    "import os"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 136,
   "metadata": {},
   "outputs": [],
   "source": [
    "font_path = \"../assets/fonts\"\n",
    "for x in os.listdir(font_path):\n",
    "    for y in os.listdir(f\"{font_path}/{x}\"):\n",
    "        if y.split(\".\")[-1] == \"ttf\":\n",
    "            fm.fontManager.addfont(f\"{font_path}/{x}/{y}\")\n",
    "            try:\n",
    "                fm.FontProperties(weight=y.split(\"-\")[-1].split(\".\")[0].lower(), fname=y.split(\"-\")[0])\n",
    "            except Exception:\n",
    "                continue\n",
    "\n",
    "plt.style.use(\"../assets/stylesheets/soc_base.mplstyle\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## The data\n",
    "\n",
    "Here we read 538's predictions and compute the expected point tally of each side, using the pre-match probabilities assigned by 538."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 137,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "        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>season</th>\n",
       "      <th>date</th>\n",
       "      <th>league_id</th>\n",
       "      <th>league</th>\n",
       "      <th>team1</th>\n",
       "      <th>team2</th>\n",
       "      <th>spi1</th>\n",
       "      <th>spi2</th>\n",
       "      <th>prob1</th>\n",
       "      <th>prob2</th>\n",
       "      <th>...</th>\n",
       "      <th>importance1</th>\n",
       "      <th>importance2</th>\n",
       "      <th>score1</th>\n",
       "      <th>score2</th>\n",
       "      <th>xg1</th>\n",
       "      <th>xg2</th>\n",
       "      <th>nsxg1</th>\n",
       "      <th>nsxg2</th>\n",
       "      <th>adj_score1</th>\n",
       "      <th>adj_score2</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2022</td>\n",
       "      <td>2022-08-05</td>\n",
       "      <td>1845</td>\n",
       "      <td>German Bundesliga</td>\n",
       "      <td>Eintracht Frankfurt</td>\n",
       "      <td>Bayern Munich</td>\n",
       "      <td>68.47</td>\n",
       "      <td>91.75</td>\n",
       "      <td>0.1350</td>\n",
       "      <td>0.6796</td>\n",
       "      <td>...</td>\n",
       "      <td>32.6</td>\n",
       "      <td>71.9</td>\n",
       "      <td>1.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.83</td>\n",
       "      <td>4.50</td>\n",
       "      <td>0.65</td>\n",
       "      <td>2.72</td>\n",
       "      <td>1.05</td>\n",
       "      <td>5.96</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2022</td>\n",
       "      <td>2022-08-05</td>\n",
       "      <td>2411</td>\n",
       "      <td>Barclays Premier League</td>\n",
       "      <td>Crystal Palace</td>\n",
       "      <td>Arsenal</td>\n",
       "      <td>71.36</td>\n",
       "      <td>78.53</td>\n",
       "      <td>0.3159</td>\n",
       "      <td>0.4205</td>\n",
       "      <td>...</td>\n",
       "      <td>22.8</td>\n",
       "      <td>48.6</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.30</td>\n",
       "      <td>1.36</td>\n",
       "      <td>1.40</td>\n",
       "      <td>2.41</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.72</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2022</td>\n",
       "      <td>2022-08-05</td>\n",
       "      <td>1843</td>\n",
       "      <td>French Ligue 1</td>\n",
       "      <td>Lyon</td>\n",
       "      <td>AC Ajaccio</td>\n",
       "      <td>72.03</td>\n",
       "      <td>51.39</td>\n",
       "      <td>0.6941</td>\n",
       "      <td>0.1222</td>\n",
       "      <td>...</td>\n",
       "      <td>50.4</td>\n",
       "      <td>33.5</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.82</td>\n",
       "      <td>1.20</td>\n",
       "      <td>0.57</td>\n",
       "      <td>0.69</td>\n",
       "      <td>2.10</td>\n",
       "      <td>0.84</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2022</td>\n",
       "      <td>2022-08-06</td>\n",
       "      <td>2411</td>\n",
       "      <td>Barclays Premier League</td>\n",
       "      <td>Fulham</td>\n",
       "      <td>Liverpool</td>\n",
       "      <td>58.70</td>\n",
       "      <td>90.51</td>\n",
       "      <td>0.0926</td>\n",
       "      <td>0.7466</td>\n",
       "      <td>...</td>\n",
       "      <td>39.7</td>\n",
       "      <td>68.2</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.25</td>\n",
       "      <td>2.57</td>\n",
       "      <td>0.78</td>\n",
       "      <td>1.41</td>\n",
       "      <td>2.10</td>\n",
       "      <td>2.10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2022</td>\n",
       "      <td>2022-08-06</td>\n",
       "      <td>1845</td>\n",
       "      <td>German Bundesliga</td>\n",
       "      <td>Borussia Monchengladbach</td>\n",
       "      <td>TSG Hoffenheim</td>\n",
       "      <td>69.38</td>\n",
       "      <td>66.77</td>\n",
       "      <td>0.4872</td>\n",
       "      <td>0.2742</td>\n",
       "      <td>...</td>\n",
       "      <td>40.2</td>\n",
       "      <td>33.3</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.86</td>\n",
       "      <td>0.10</td>\n",
       "      <td>2.51</td>\n",
       "      <td>0.31</td>\n",
       "      <td>2.36</td>\n",
       "      <td>1.05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>381</th>\n",
       "      <td>2022</td>\n",
       "      <td>2022-10-02</td>\n",
       "      <td>1854</td>\n",
       "      <td>Italy Serie A</td>\n",
       "      <td>Atalanta</td>\n",
       "      <td>Fiorentina</td>\n",
       "      <td>71.99</td>\n",
       "      <td>67.09</td>\n",
       "      <td>0.5109</td>\n",
       "      <td>0.2267</td>\n",
       "      <td>...</td>\n",
       "      <td>69.9</td>\n",
       "      <td>31.9</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.53</td>\n",
       "      <td>0.74</td>\n",
       "      <td>0.95</td>\n",
       "      <td>1.61</td>\n",
       "      <td>1.05</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>382</th>\n",
       "      <td>2022</td>\n",
       "      <td>2022-10-02</td>\n",
       "      <td>1869</td>\n",
       "      <td>Spanish Primera Division</td>\n",
       "      <td>Girona FC</td>\n",
       "      <td>Real Sociedad</td>\n",
       "      <td>61.44</td>\n",
       "      <td>73.49</td>\n",
       "      <td>0.3007</td>\n",
       "      <td>0.4148</td>\n",
       "      <td>...</td>\n",
       "      <td>28.4</td>\n",
       "      <td>43.8</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.02</td>\n",
       "      <td>2.10</td>\n",
       "      <td>2.02</td>\n",
       "      <td>1.40</td>\n",
       "      <td>3.15</td>\n",
       "      <td>4.88</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>383</th>\n",
       "      <td>2022</td>\n",
       "      <td>2022-10-02</td>\n",
       "      <td>1843</td>\n",
       "      <td>French Ligue 1</td>\n",
       "      <td>Lens</td>\n",
       "      <td>Lyon</td>\n",
       "      <td>68.35</td>\n",
       "      <td>74.10</td>\n",
       "      <td>0.3827</td>\n",
       "      <td>0.3658</td>\n",
       "      <td>...</td>\n",
       "      <td>61.1</td>\n",
       "      <td>61.4</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.96</td>\n",
       "      <td>0.12</td>\n",
       "      <td>1.90</td>\n",
       "      <td>0.07</td>\n",
       "      <td>1.05</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>384</th>\n",
       "      <td>2022</td>\n",
       "      <td>2022-10-02</td>\n",
       "      <td>1854</td>\n",
       "      <td>Italy Serie A</td>\n",
       "      <td>Juventus</td>\n",
       "      <td>Bologna</td>\n",
       "      <td>66.72</td>\n",
       "      <td>54.15</td>\n",
       "      <td>0.5484</td>\n",
       "      <td>0.2023</td>\n",
       "      <td>...</td>\n",
       "      <td>27.2</td>\n",
       "      <td>29.3</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.28</td>\n",
       "      <td>0.45</td>\n",
       "      <td>1.55</td>\n",
       "      <td>0.25</td>\n",
       "      <td>3.15</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>385</th>\n",
       "      <td>2022</td>\n",
       "      <td>2022-10-02</td>\n",
       "      <td>1869</td>\n",
       "      <td>Spanish Primera Division</td>\n",
       "      <td>Real Madrid</td>\n",
       "      <td>Osasuna</td>\n",
       "      <td>87.07</td>\n",
       "      <td>68.09</td>\n",
       "      <td>0.7441</td>\n",
       "      <td>0.0868</td>\n",
       "      <td>...</td>\n",
       "      <td>79.3</td>\n",
       "      <td>33.6</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.69</td>\n",
       "      <td>0.53</td>\n",
       "      <td>2.64</td>\n",
       "      <td>0.95</td>\n",
       "      <td>1.05</td>\n",
       "      <td>1.05</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>386 rows × 23 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     season        date  league_id                    league  \\\n",
       "0      2022  2022-08-05       1845         German Bundesliga   \n",
       "1      2022  2022-08-05       2411   Barclays Premier League   \n",
       "2      2022  2022-08-05       1843            French Ligue 1   \n",
       "3      2022  2022-08-06       2411   Barclays Premier League   \n",
       "4      2022  2022-08-06       1845         German Bundesliga   \n",
       "..      ...         ...        ...                       ...   \n",
       "381    2022  2022-10-02       1854             Italy Serie A   \n",
       "382    2022  2022-10-02       1869  Spanish Primera Division   \n",
       "383    2022  2022-10-02       1843            French Ligue 1   \n",
       "384    2022  2022-10-02       1854             Italy Serie A   \n",
       "385    2022  2022-10-02       1869  Spanish Primera Division   \n",
       "\n",
       "                        team1           team2   spi1   spi2   prob1   prob2  \\\n",
       "0         Eintracht Frankfurt   Bayern Munich  68.47  91.75  0.1350  0.6796   \n",
       "1              Crystal Palace         Arsenal  71.36  78.53  0.3159  0.4205   \n",
       "2                        Lyon      AC Ajaccio  72.03  51.39  0.6941  0.1222   \n",
       "3                      Fulham       Liverpool  58.70  90.51  0.0926  0.7466   \n",
       "4    Borussia Monchengladbach  TSG Hoffenheim  69.38  66.77  0.4872  0.2742   \n",
       "..                        ...             ...    ...    ...     ...     ...   \n",
       "381                  Atalanta      Fiorentina  71.99  67.09  0.5109  0.2267   \n",
       "382                 Girona FC   Real Sociedad  61.44  73.49  0.3007  0.4148   \n",
       "383                      Lens            Lyon  68.35  74.10  0.3827  0.3658   \n",
       "384                  Juventus         Bologna  66.72  54.15  0.5484  0.2023   \n",
       "385               Real Madrid         Osasuna  87.07  68.09  0.7441  0.0868   \n",
       "\n",
       "     ...  importance1  importance2  score1  score2   xg1   xg2  nsxg1  nsxg2  \\\n",
       "0    ...         32.6         71.9     1.0     6.0  0.83  4.50   0.65   2.72   \n",
       "1    ...         22.8         48.6     0.0     2.0  1.30  1.36   1.40   2.41   \n",
       "2    ...         50.4         33.5     2.0     1.0  1.82  1.20   0.57   0.69   \n",
       "3    ...         39.7         68.2     2.0     2.0  1.25  2.57   0.78   1.41   \n",
       "4    ...         40.2         33.3     3.0     1.0  1.86  0.10   2.51   0.31   \n",
       "..   ...          ...          ...     ...     ...   ...   ...    ...    ...   \n",
       "381  ...         69.9         31.9     1.0     0.0  1.53  0.74   0.95   1.61   \n",
       "382  ...         28.4         43.8     3.0     5.0  1.02  2.10   2.02   1.40   \n",
       "383  ...         61.1         61.4     1.0     0.0  2.96  0.12   1.90   0.07   \n",
       "384  ...         27.2         29.3     3.0     0.0  2.28  0.45   1.55   0.25   \n",
       "385  ...         79.3         33.6     1.0     1.0  2.69  0.53   2.64   0.95   \n",
       "\n",
       "     adj_score1  adj_score2  \n",
       "0          1.05        5.96  \n",
       "1          0.00        1.72  \n",
       "2          2.10        0.84  \n",
       "3          2.10        2.10  \n",
       "4          2.36        1.05  \n",
       "..          ...         ...  \n",
       "381        1.05        0.00  \n",
       "382        3.15        4.88  \n",
       "383        1.05        0.00  \n",
       "384        3.15        0.00  \n",
       "385        1.05        1.05  \n",
       "\n",
       "[386 rows x 23 columns]"
      ]
     },
     "execution_count": 137,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv('data/10032022.csv', index_col=0).reset_index(drop=True)\n",
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Custom function to compute points across teams."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 138,
   "metadata": {},
   "outputs": [],
   "source": [
    "def compute_points(x,y):\n",
    "    '''\n",
    "    This function computed the points achieved by each side.\n",
    "    '''\n",
    "    if x > y:\n",
    "        return 3\n",
    "    if x == y:\n",
    "        return 1\n",
    "    else:\n",
    "        return 0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 139,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>season</th>\n",
       "      <th>date</th>\n",
       "      <th>league_id</th>\n",
       "      <th>league</th>\n",
       "      <th>team1</th>\n",
       "      <th>team2</th>\n",
       "      <th>spi1</th>\n",
       "      <th>spi2</th>\n",
       "      <th>prob1</th>\n",
       "      <th>prob2</th>\n",
       "      <th>...</th>\n",
       "      <th>xg1</th>\n",
       "      <th>xg2</th>\n",
       "      <th>nsxg1</th>\n",
       "      <th>nsxg2</th>\n",
       "      <th>adj_score1</th>\n",
       "      <th>adj_score2</th>\n",
       "      <th>xpoints1</th>\n",
       "      <th>xpoints2</th>\n",
       "      <th>points1</th>\n",
       "      <th>points2</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2022</td>\n",
       "      <td>2022-08-05</td>\n",
       "      <td>1845</td>\n",
       "      <td>German Bundesliga</td>\n",
       "      <td>Eintracht Frankfurt</td>\n",
       "      <td>Bayern Munich</td>\n",
       "      <td>68.47</td>\n",
       "      <td>91.75</td>\n",
       "      <td>0.1350</td>\n",
       "      <td>0.6796</td>\n",
       "      <td>...</td>\n",
       "      <td>0.83</td>\n",
       "      <td>4.50</td>\n",
       "      <td>0.65</td>\n",
       "      <td>2.72</td>\n",
       "      <td>1.05</td>\n",
       "      <td>5.96</td>\n",
       "      <td>0.5904</td>\n",
       "      <td>2.2242</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2022</td>\n",
       "      <td>2022-08-05</td>\n",
       "      <td>2411</td>\n",
       "      <td>Barclays Premier League</td>\n",
       "      <td>Crystal Palace</td>\n",
       "      <td>Arsenal</td>\n",
       "      <td>71.36</td>\n",
       "      <td>78.53</td>\n",
       "      <td>0.3159</td>\n",
       "      <td>0.4205</td>\n",
       "      <td>...</td>\n",
       "      <td>1.30</td>\n",
       "      <td>1.36</td>\n",
       "      <td>1.40</td>\n",
       "      <td>2.41</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.72</td>\n",
       "      <td>1.2113</td>\n",
       "      <td>1.5251</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2022</td>\n",
       "      <td>2022-08-05</td>\n",
       "      <td>1843</td>\n",
       "      <td>French Ligue 1</td>\n",
       "      <td>Lyon</td>\n",
       "      <td>AC Ajaccio</td>\n",
       "      <td>72.03</td>\n",
       "      <td>51.39</td>\n",
       "      <td>0.6941</td>\n",
       "      <td>0.1222</td>\n",
       "      <td>...</td>\n",
       "      <td>1.82</td>\n",
       "      <td>1.20</td>\n",
       "      <td>0.57</td>\n",
       "      <td>0.69</td>\n",
       "      <td>2.10</td>\n",
       "      <td>0.84</td>\n",
       "      <td>2.2660</td>\n",
       "      <td>0.5503</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2022</td>\n",
       "      <td>2022-08-06</td>\n",
       "      <td>2411</td>\n",
       "      <td>Barclays Premier League</td>\n",
       "      <td>Fulham</td>\n",
       "      <td>Liverpool</td>\n",
       "      <td>58.70</td>\n",
       "      <td>90.51</td>\n",
       "      <td>0.0926</td>\n",
       "      <td>0.7466</td>\n",
       "      <td>...</td>\n",
       "      <td>1.25</td>\n",
       "      <td>2.57</td>\n",
       "      <td>0.78</td>\n",
       "      <td>1.41</td>\n",
       "      <td>2.10</td>\n",
       "      <td>2.10</td>\n",
       "      <td>0.4385</td>\n",
       "      <td>2.4005</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2022</td>\n",
       "      <td>2022-08-06</td>\n",
       "      <td>1845</td>\n",
       "      <td>German Bundesliga</td>\n",
       "      <td>Borussia Monchengladbach</td>\n",
       "      <td>TSG Hoffenheim</td>\n",
       "      <td>69.38</td>\n",
       "      <td>66.77</td>\n",
       "      <td>0.4872</td>\n",
       "      <td>0.2742</td>\n",
       "      <td>...</td>\n",
       "      <td>1.86</td>\n",
       "      <td>0.10</td>\n",
       "      <td>2.51</td>\n",
       "      <td>0.31</td>\n",
       "      <td>2.36</td>\n",
       "      <td>1.05</td>\n",
       "      <td>1.7002</td>\n",
       "      <td>1.0612</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>381</th>\n",
       "      <td>2022</td>\n",
       "      <td>2022-10-02</td>\n",
       "      <td>1854</td>\n",
       "      <td>Italy Serie A</td>\n",
       "      <td>Atalanta</td>\n",
       "      <td>Fiorentina</td>\n",
       "      <td>71.99</td>\n",
       "      <td>67.09</td>\n",
       "      <td>0.5109</td>\n",
       "      <td>0.2267</td>\n",
       "      <td>...</td>\n",
       "      <td>1.53</td>\n",
       "      <td>0.74</td>\n",
       "      <td>0.95</td>\n",
       "      <td>1.61</td>\n",
       "      <td>1.05</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.7951</td>\n",
       "      <td>0.9425</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>382</th>\n",
       "      <td>2022</td>\n",
       "      <td>2022-10-02</td>\n",
       "      <td>1869</td>\n",
       "      <td>Spanish Primera Division</td>\n",
       "      <td>Girona FC</td>\n",
       "      <td>Real Sociedad</td>\n",
       "      <td>61.44</td>\n",
       "      <td>73.49</td>\n",
       "      <td>0.3007</td>\n",
       "      <td>0.4148</td>\n",
       "      <td>...</td>\n",
       "      <td>1.02</td>\n",
       "      <td>2.10</td>\n",
       "      <td>2.02</td>\n",
       "      <td>1.40</td>\n",
       "      <td>3.15</td>\n",
       "      <td>4.88</td>\n",
       "      <td>1.1866</td>\n",
       "      <td>1.5289</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>383</th>\n",
       "      <td>2022</td>\n",
       "      <td>2022-10-02</td>\n",
       "      <td>1843</td>\n",
       "      <td>French Ligue 1</td>\n",
       "      <td>Lens</td>\n",
       "      <td>Lyon</td>\n",
       "      <td>68.35</td>\n",
       "      <td>74.10</td>\n",
       "      <td>0.3827</td>\n",
       "      <td>0.3658</td>\n",
       "      <td>...</td>\n",
       "      <td>2.96</td>\n",
       "      <td>0.12</td>\n",
       "      <td>1.90</td>\n",
       "      <td>0.07</td>\n",
       "      <td>1.05</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.3996</td>\n",
       "      <td>1.3489</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>384</th>\n",
       "      <td>2022</td>\n",
       "      <td>2022-10-02</td>\n",
       "      <td>1854</td>\n",
       "      <td>Italy Serie A</td>\n",
       "      <td>Juventus</td>\n",
       "      <td>Bologna</td>\n",
       "      <td>66.72</td>\n",
       "      <td>54.15</td>\n",
       "      <td>0.5484</td>\n",
       "      <td>0.2023</td>\n",
       "      <td>...</td>\n",
       "      <td>2.28</td>\n",
       "      <td>0.45</td>\n",
       "      <td>1.55</td>\n",
       "      <td>0.25</td>\n",
       "      <td>3.15</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.8945</td>\n",
       "      <td>0.8562</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>385</th>\n",
       "      <td>2022</td>\n",
       "      <td>2022-10-02</td>\n",
       "      <td>1869</td>\n",
       "      <td>Spanish Primera Division</td>\n",
       "      <td>Real Madrid</td>\n",
       "      <td>Osasuna</td>\n",
       "      <td>87.07</td>\n",
       "      <td>68.09</td>\n",
       "      <td>0.7441</td>\n",
       "      <td>0.0868</td>\n",
       "      <td>...</td>\n",
       "      <td>2.69</td>\n",
       "      <td>0.53</td>\n",
       "      <td>2.64</td>\n",
       "      <td>0.95</td>\n",
       "      <td>1.05</td>\n",
       "      <td>1.05</td>\n",
       "      <td>2.4014</td>\n",
       "      <td>0.4295</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>386 rows × 27 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     season        date  league_id                    league  \\\n",
       "0      2022  2022-08-05       1845         German Bundesliga   \n",
       "1      2022  2022-08-05       2411   Barclays Premier League   \n",
       "2      2022  2022-08-05       1843            French Ligue 1   \n",
       "3      2022  2022-08-06       2411   Barclays Premier League   \n",
       "4      2022  2022-08-06       1845         German Bundesliga   \n",
       "..      ...         ...        ...                       ...   \n",
       "381    2022  2022-10-02       1854             Italy Serie A   \n",
       "382    2022  2022-10-02       1869  Spanish Primera Division   \n",
       "383    2022  2022-10-02       1843            French Ligue 1   \n",
       "384    2022  2022-10-02       1854             Italy Serie A   \n",
       "385    2022  2022-10-02       1869  Spanish Primera Division   \n",
       "\n",
       "                        team1           team2   spi1   spi2   prob1   prob2  \\\n",
       "0         Eintracht Frankfurt   Bayern Munich  68.47  91.75  0.1350  0.6796   \n",
       "1              Crystal Palace         Arsenal  71.36  78.53  0.3159  0.4205   \n",
       "2                        Lyon      AC Ajaccio  72.03  51.39  0.6941  0.1222   \n",
       "3                      Fulham       Liverpool  58.70  90.51  0.0926  0.7466   \n",
       "4    Borussia Monchengladbach  TSG Hoffenheim  69.38  66.77  0.4872  0.2742   \n",
       "..                        ...             ...    ...    ...     ...     ...   \n",
       "381                  Atalanta      Fiorentina  71.99  67.09  0.5109  0.2267   \n",
       "382                 Girona FC   Real Sociedad  61.44  73.49  0.3007  0.4148   \n",
       "383                      Lens            Lyon  68.35  74.10  0.3827  0.3658   \n",
       "384                  Juventus         Bologna  66.72  54.15  0.5484  0.2023   \n",
       "385               Real Madrid         Osasuna  87.07  68.09  0.7441  0.0868   \n",
       "\n",
       "     ...   xg1   xg2  nsxg1  nsxg2  adj_score1  adj_score2  xpoints1  \\\n",
       "0    ...  0.83  4.50   0.65   2.72        1.05        5.96    0.5904   \n",
       "1    ...  1.30  1.36   1.40   2.41        0.00        1.72    1.2113   \n",
       "2    ...  1.82  1.20   0.57   0.69        2.10        0.84    2.2660   \n",
       "3    ...  1.25  2.57   0.78   1.41        2.10        2.10    0.4385   \n",
       "4    ...  1.86  0.10   2.51   0.31        2.36        1.05    1.7002   \n",
       "..   ...   ...   ...    ...    ...         ...         ...       ...   \n",
       "381  ...  1.53  0.74   0.95   1.61        1.05        0.00    1.7951   \n",
       "382  ...  1.02  2.10   2.02   1.40        3.15        4.88    1.1866   \n",
       "383  ...  2.96  0.12   1.90   0.07        1.05        0.00    1.3996   \n",
       "384  ...  2.28  0.45   1.55   0.25        3.15        0.00    1.8945   \n",
       "385  ...  2.69  0.53   2.64   0.95        1.05        1.05    2.4014   \n",
       "\n",
       "     xpoints2  points1  points2  \n",
       "0      2.2242        0        3  \n",
       "1      1.5251        0        3  \n",
       "2      0.5503        3        0  \n",
       "3      2.4005        1        1  \n",
       "4      1.0612        3        0  \n",
       "..        ...      ...      ...  \n",
       "381    0.9425        3        0  \n",
       "382    1.5289        0        3  \n",
       "383    1.3489        3        0  \n",
       "384    0.8562        3        0  \n",
       "385    0.4295        1        1  \n",
       "\n",
       "[386 rows x 27 columns]"
      ]
     },
     "execution_count": 139,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['xpoints1'] = df['prob1']*3 + df['probtie']\n",
    "df['xpoints2'] = df['prob2']*3 + df['probtie']\n",
    "df['points1'] = [compute_points(x,y) for x,y in zip(df['score1'], df['score2'])]\n",
    "df['points2'] = [compute_points(y,x) for x,y in zip(df['score1'], df['score2'])]\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 140,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\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>team</th>\n",
       "      <th>xpoints</th>\n",
       "      <th>points</th>\n",
       "      <th>difference</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>Strasbourg</td>\n",
       "      <td>14.1309</td>\n",
       "      <td>5</td>\n",
       "      <td>-9.1309</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Bayer Leverkusen</td>\n",
       "      <td>12.4891</td>\n",
       "      <td>5</td>\n",
       "      <td>-7.4891</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>Leicester City</td>\n",
       "      <td>7.9556</td>\n",
       "      <td>1</td>\n",
       "      <td>-6.9556</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>VfL Bochum</td>\n",
       "      <td>7.8406</td>\n",
       "      <td>1</td>\n",
       "      <td>-6.8406</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>Sampdoria</td>\n",
       "      <td>8.7377</td>\n",
       "      <td>2</td>\n",
       "      <td>-6.7377</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Arsenal</td>\n",
       "      <td>14.4208</td>\n",
       "      <td>21</td>\n",
       "      <td>6.5792</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>Lens</td>\n",
       "      <td>14.3854</td>\n",
       "      <td>21</td>\n",
       "      <td>6.6146</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>Marseille</td>\n",
       "      <td>15.9386</td>\n",
       "      <td>23</td>\n",
       "      <td>7.0614</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>Udinese</td>\n",
       "      <td>8.1827</td>\n",
       "      <td>16</td>\n",
       "      <td>7.8173</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>Lorient</td>\n",
       "      <td>10.2347</td>\n",
       "      <td>22</td>\n",
       "      <td>11.7653</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>98 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                team  xpoints  points  difference\n",
       "82        Strasbourg  14.1309       5     -9.1309\n",
       "15  Bayer Leverkusen  12.4891       5     -7.4891\n",
       "46    Leicester City   7.9556       1     -6.9556\n",
       "92        VfL Bochum   7.8406       1     -6.8406\n",
       "75         Sampdoria   8.7377       2     -6.7377\n",
       "..               ...      ...     ...         ...\n",
       "8            Arsenal  14.4208      21      6.5792\n",
       "47              Lens  14.3854      21      6.6146\n",
       "56         Marseille  15.9386      23      7.0614\n",
       "88           Udinese   8.1827      16      7.8173\n",
       "50           Lorient  10.2347      22     11.7653\n",
       "\n",
       "[98 rows x 4 columns]"
      ]
     },
     "execution_count": 140,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_team1 = df[['team1', 'xpoints1', 'points1']]\n",
    "df_team2 = df[['team2', 'xpoints2', 'points2']]\n",
    "df_team1.columns = ['team', 'xpoints', 'points']\n",
    "df_team2.columns = ['team', 'xpoints', 'points']\n",
    "df_g = (\n",
    "    pd.concat([df_team1, df_team2])\n",
    "    .groupby(['team']).sum()\n",
    "    .reset_index()\n",
    "    .assign(difference = lambda x: x.points - x.xpoints)\n",
    ")\n",
    "df_g.sort_values(by='difference')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we get the twelve teams that have most underperformed their expected points."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 141,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "    }\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>team</th>\n",
       "      <th>xpoints</th>\n",
       "      <th>points</th>\n",
       "      <th>difference</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Strasbourg</td>\n",
       "      <td>14.1309</td>\n",
       "      <td>5</td>\n",
       "      <td>-9.1309</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Bayer Leverkusen</td>\n",
       "      <td>12.4891</td>\n",
       "      <td>5</td>\n",
       "      <td>-7.4891</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Leicester City</td>\n",
       "      <td>7.9556</td>\n",
       "      <td>1</td>\n",
       "      <td>-6.9556</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>VfL Bochum</td>\n",
       "      <td>7.8406</td>\n",
       "      <td>1</td>\n",
       "      <td>-6.8406</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Sampdoria</td>\n",
       "      <td>8.7377</td>\n",
       "      <td>2</td>\n",
       "      <td>-6.7377</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>AC Ajaccio</td>\n",
       "      <td>10.1399</td>\n",
       "      <td>4</td>\n",
       "      <td>-6.1399</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Liverpool</td>\n",
       "      <td>16.0278</td>\n",
       "      <td>10</td>\n",
       "      <td>-6.0278</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Bayern Munich</td>\n",
       "      <td>19.5566</td>\n",
       "      <td>15</td>\n",
       "      <td>-4.5566</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Internazionale</td>\n",
       "      <td>16.2668</td>\n",
       "      <td>12</td>\n",
       "      <td>-4.2668</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Elche</td>\n",
       "      <td>5.2654</td>\n",
       "      <td>1</td>\n",
       "      <td>-4.2654</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>VfB Stuttgart</td>\n",
       "      <td>9.2488</td>\n",
       "      <td>5</td>\n",
       "      <td>-4.2488</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Wolverhampton</td>\n",
       "      <td>9.8390</td>\n",
       "      <td>6</td>\n",
       "      <td>-3.8390</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                team  xpoints  points  difference\n",
       "0         Strasbourg  14.1309       5     -9.1309\n",
       "1   Bayer Leverkusen  12.4891       5     -7.4891\n",
       "2     Leicester City   7.9556       1     -6.9556\n",
       "3         VfL Bochum   7.8406       1     -6.8406\n",
       "4          Sampdoria   8.7377       2     -6.7377\n",
       "5         AC Ajaccio  10.1399       4     -6.1399\n",
       "6          Liverpool  16.0278      10     -6.0278\n",
       "7      Bayern Munich  19.5566      15     -4.5566\n",
       "8     Internazionale  16.2668      12     -4.2668\n",
       "9              Elche   5.2654       1     -4.2654\n",
       "10     VfB Stuttgart   9.2488       5     -4.2488\n",
       "11     Wolverhampton   9.8390       6     -3.8390"
      ]
     },
     "execution_count": 141,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_top_10 = df_g.sort_values(by='difference').head(12).reset_index(drop=True)\n",
    "df_top_10"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For the logos, we need to do some manual labour and get the team's Fotmob ID."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 142,
   "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>team</th>\n",
       "      <th>fotmob_id</th>\n",
       "      <th>country</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Strasbourg</td>\n",
       "      <td>9848</td>\n",
       "      <td>fra</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Bayer Leverkusen</td>\n",
       "      <td>8178</td>\n",
       "      <td>deu</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Leicester City</td>\n",
       "      <td>8197</td>\n",
       "      <td>eng</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>VfL Bochum</td>\n",
       "      <td>9911</td>\n",
       "      <td>deu</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Sampdoria</td>\n",
       "      <td>9882</td>\n",
       "      <td>ita</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>AC Ajaccio</td>\n",
       "      <td>8576</td>\n",
       "      <td>fra</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Liverpool</td>\n",
       "      <td>8650</td>\n",
       "      <td>eng</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Bayern Munich</td>\n",
       "      <td>9823</td>\n",
       "      <td>deu</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Internazionale</td>\n",
       "      <td>8636</td>\n",
       "      <td>ita</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Elche</td>\n",
       "      <td>10268</td>\n",
       "      <td>esp</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>VfB Stuttgart</td>\n",
       "      <td>10269</td>\n",
       "      <td>deu</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Wolverhampton</td>\n",
       "      <td>8602</td>\n",
       "      <td>eng</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                team  fotmob_id country\n",
       "0         Strasbourg       9848     fra\n",
       "1   Bayer Leverkusen       8178     deu\n",
       "2     Leicester City       8197     eng\n",
       "3         VfL Bochum       9911     deu\n",
       "4          Sampdoria       9882     ita\n",
       "5         AC Ajaccio       8576     fra\n",
       "6          Liverpool       8650     eng\n",
       "7      Bayern Munich       9823     deu\n",
       "8     Internazionale       8636     ita\n",
       "9              Elche      10268     esp\n",
       "10     VfB Stuttgart      10269     deu\n",
       "11     Wolverhampton       8602     eng"
      ]
     },
     "execution_count": 142,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "team_map = {\n",
    "    'team': [\n",
    "        'Strasbourg',\n",
    "        'Bayer Leverkusen',\n",
    "        'Leicester City',\n",
    "        'VfL Bochum',\n",
    "        'Sampdoria',\n",
    "        'AC Ajaccio',\n",
    "        'Liverpool',\n",
    "        'Bayern Munich',\n",
    "        'Internazionale',\n",
    "        'Elche',\n",
    "        'VfB Stuttgart',\n",
    "        'Wolverhampton'\n",
    "    ],\n",
    "    'fotmob_id':[\n",
    "        9848,\n",
    "        8178,\n",
    "        8197,\n",
    "        9911,\n",
    "        9882,\n",
    "        8576,\n",
    "        8650,\n",
    "        9823,\n",
    "        8636,\n",
    "        10268,\n",
    "        10269,\n",
    "        8602\n",
    "    ],\n",
    "    'country':[\n",
    "        'fra',\n",
    "        'deu',\n",
    "        'eng',\n",
    "        'deu',\n",
    "        'ita',\n",
    "        'fra',\n",
    "        'eng',\n",
    "        'deu',\n",
    "        'ita',\n",
    "        'esp',\n",
    "        'deu',\n",
    "        'eng'\n",
    "    ]\n",
    "}\n",
    "\n",
    "team_map = pd.DataFrame(team_map)\n",
    "team_map"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 143,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "    }\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>team</th>\n",
       "      <th>xpoints</th>\n",
       "      <th>points</th>\n",
       "      <th>difference</th>\n",
       "      <th>fotmob_id</th>\n",
       "      <th>country</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Strasbourg</td>\n",
       "      <td>14.1309</td>\n",
       "      <td>5</td>\n",
       "      <td>-9.1309</td>\n",
       "      <td>9848</td>\n",
       "      <td>fra</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Bayer Leverkusen</td>\n",
       "      <td>12.4891</td>\n",
       "      <td>5</td>\n",
       "      <td>-7.4891</td>\n",
       "      <td>8178</td>\n",
       "      <td>deu</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Leicester City</td>\n",
       "      <td>7.9556</td>\n",
       "      <td>1</td>\n",
       "      <td>-6.9556</td>\n",
       "      <td>8197</td>\n",
       "      <td>eng</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>VfL Bochum</td>\n",
       "      <td>7.8406</td>\n",
       "      <td>1</td>\n",
       "      <td>-6.8406</td>\n",
       "      <td>9911</td>\n",
       "      <td>deu</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Sampdoria</td>\n",
       "      <td>8.7377</td>\n",
       "      <td>2</td>\n",
       "      <td>-6.7377</td>\n",
       "      <td>9882</td>\n",
       "      <td>ita</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>AC Ajaccio</td>\n",
       "      <td>10.1399</td>\n",
       "      <td>4</td>\n",
       "      <td>-6.1399</td>\n",
       "      <td>8576</td>\n",
       "      <td>fra</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Liverpool</td>\n",
       "      <td>16.0278</td>\n",
       "      <td>10</td>\n",
       "      <td>-6.0278</td>\n",
       "      <td>8650</td>\n",
       "      <td>eng</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Bayern Munich</td>\n",
       "      <td>19.5566</td>\n",
       "      <td>15</td>\n",
       "      <td>-4.5566</td>\n",
       "      <td>9823</td>\n",
       "      <td>deu</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Internazionale</td>\n",
       "      <td>16.2668</td>\n",
       "      <td>12</td>\n",
       "      <td>-4.2668</td>\n",
       "      <td>8636</td>\n",
       "      <td>ita</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Elche</td>\n",
       "      <td>5.2654</td>\n",
       "      <td>1</td>\n",
       "      <td>-4.2654</td>\n",
       "      <td>10268</td>\n",
       "      <td>esp</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>VfB Stuttgart</td>\n",
       "      <td>9.2488</td>\n",
       "      <td>5</td>\n",
       "      <td>-4.2488</td>\n",
       "      <td>10269</td>\n",
       "      <td>deu</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Wolverhampton</td>\n",
       "      <td>9.8390</td>\n",
       "      <td>6</td>\n",
       "      <td>-3.8390</td>\n",
       "      <td>8602</td>\n",
       "      <td>eng</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                team  xpoints  points  difference  fotmob_id country\n",
       "0         Strasbourg  14.1309       5     -9.1309       9848     fra\n",
       "1   Bayer Leverkusen  12.4891       5     -7.4891       8178     deu\n",
       "2     Leicester City   7.9556       1     -6.9556       8197     eng\n",
       "3         VfL Bochum   7.8406       1     -6.8406       9911     deu\n",
       "4          Sampdoria   8.7377       2     -6.7377       9882     ita\n",
       "5         AC Ajaccio  10.1399       4     -6.1399       8576     fra\n",
       "6          Liverpool  16.0278      10     -6.0278       8650     eng\n",
       "7      Bayern Munich  19.5566      15     -4.5566       9823     deu\n",
       "8     Internazionale  16.2668      12     -4.2668       8636     ita\n",
       "9              Elche   5.2654       1     -4.2654      10268     esp\n",
       "10     VfB Stuttgart   9.2488       5     -4.2488      10269     deu\n",
       "11     Wolverhampton   9.8390       6     -3.8390       8602     eng"
      ]
     },
     "execution_count": 143,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_top_10 = pd.merge(df_top_10, team_map)\n",
    "df_top_10"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Finally, we create a function that takes the timeline of this xPoints and actual points so we can plot a time series."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 144,
   "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>team</th>\n",
       "      <th>points</th>\n",
       "      <th>xpoints</th>\n",
       "      <th>date</th>\n",
       "      <th>cum_points</th>\n",
       "      <th>cum_xpoints</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Strasbourg</td>\n",
       "      <td>0</td>\n",
       "      <td>1.3865</td>\n",
       "      <td>2022-08-06</td>\n",
       "      <td>0</td>\n",
       "      <td>1.3865</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Strasbourg</td>\n",
       "      <td>1</td>\n",
       "      <td>1.2103</td>\n",
       "      <td>2022-08-14</td>\n",
       "      <td>1</td>\n",
       "      <td>2.5968</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Strasbourg</td>\n",
       "      <td>1</td>\n",
       "      <td>1.9213</td>\n",
       "      <td>2022-08-21</td>\n",
       "      <td>2</td>\n",
       "      <td>4.5181</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Strasbourg</td>\n",
       "      <td>0</td>\n",
       "      <td>1.5197</td>\n",
       "      <td>2022-08-27</td>\n",
       "      <td>2</td>\n",
       "      <td>6.0378</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Strasbourg</td>\n",
       "      <td>1</td>\n",
       "      <td>1.7976</td>\n",
       "      <td>2022-08-31</td>\n",
       "      <td>3</td>\n",
       "      <td>7.8354</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Strasbourg</td>\n",
       "      <td>1</td>\n",
       "      <td>1.4775</td>\n",
       "      <td>2022-09-04</td>\n",
       "      <td>4</td>\n",
       "      <td>9.3129</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Strasbourg</td>\n",
       "      <td>1</td>\n",
       "      <td>2.0482</td>\n",
       "      <td>2022-09-11</td>\n",
       "      <td>5</td>\n",
       "      <td>11.3611</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Strasbourg</td>\n",
       "      <td>0</td>\n",
       "      <td>1.4468</td>\n",
       "      <td>2022-09-17</td>\n",
       "      <td>5</td>\n",
       "      <td>12.8079</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Strasbourg</td>\n",
       "      <td>0</td>\n",
       "      <td>1.3230</td>\n",
       "      <td>2022-10-01</td>\n",
       "      <td>5</td>\n",
       "      <td>14.1309</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         team  points  xpoints       date  cum_points  cum_xpoints\n",
       "0  Strasbourg       0   1.3865 2022-08-06           0       1.3865\n",
       "1  Strasbourg       1   1.2103 2022-08-14           1       2.5968\n",
       "2  Strasbourg       1   1.9213 2022-08-21           2       4.5181\n",
       "3  Strasbourg       0   1.5197 2022-08-27           2       6.0378\n",
       "4  Strasbourg       1   1.7976 2022-08-31           3       7.8354\n",
       "5  Strasbourg       1   1.4775 2022-09-04           4       9.3129\n",
       "6  Strasbourg       1   2.0482 2022-09-11           5      11.3611\n",
       "7  Strasbourg       0   1.4468 2022-09-17           5      12.8079\n",
       "8  Strasbourg       0   1.3230 2022-10-01           5      14.1309"
      ]
     },
     "execution_count": 144,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def get_cumpoints_df(team, data = df):\n",
    "\n",
    "    df = data.copy()\n",
    "    df['date'] = pd.to_datetime(df['date'], format='%Y-%m-%d')\n",
    "    is_in_home = df[(df['team1'] == team)][['team1', 'points1', 'xpoints1', 'date']].reset_index(drop=True)\n",
    "    is_in_away = df[(df['team2'] == team)][['team2', 'points2', 'xpoints2', 'date']].reset_index(drop=True)\n",
    "    is_in_home.columns = ['team', 'points', 'xpoints', 'date']\n",
    "    is_in_away.columns = ['team', 'points', 'xpoints', 'date']\n",
    "    df = pd.concat([is_in_home, is_in_away]).sort_values(by='date', ascending=True).reset_index(drop=True)\n",
    "    df['cum_points'] = df['points'].cumsum()\n",
    "    df['cum_xpoints'] = df['xpoints'].cumsum()\n",
    "    return df\n",
    "\n",
    "# Check to see if it works\n",
    "get_cumpoints_df('Strasbourg')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## The Visual"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 145,
   "metadata": {},
   "outputs": [],
   "source": [
    "def plot_point_difference(ax, team, label_y = False, data=df):\n",
    "    ax.grid(ls='--', color='lightgrey')\n",
    "    for spine in ax.spines.values():\n",
    "        spine.set_edgecolor('lightgrey')\n",
    "        spine.set_linestyle('dashed')\n",
    "    ax.tick_params(color='lightgrey', labelsize=8, labelcolor='grey')\n",
    "    test_df = get_cumpoints_df(team, data)\n",
    "\n",
    "    ax.plot(test_df.index + 1, test_df['cum_points'], marker='o', mfc='white', ms=5, color='#287271')\n",
    "    ax.plot(test_df.index + 1, test_df['cum_xpoints'], marker='o', mfc='white', ms=5, color='#D81159')\n",
    "    ax.yaxis.set_major_locator(ticker.MultipleLocator(3))\n",
    "    ax.yaxis.set_major_formatter(ticker.StrMethodFormatter('{x:.0f}'))\n",
    "    ax.set_ylim(-1,22)\n",
    "    ax.set_xlim(0.25)\n",
    "    ax.set_xticklabels([])\n",
    "    mid_point = test_df['cum_points'].iloc[-1] + (test_df['cum_xpoints'].iloc[-1] - test_df['cum_points'].iloc[-1])/2\n",
    "    difference = test_df['cum_points'].iloc[-1] - test_df['cum_xpoints'].iloc[-1]\n",
    "    text_ = ax.annotate(\n",
    "        xy=(ax.get_xlim()[1], mid_point),\n",
    "        text=f'{difference:.1f}',\n",
    "        xytext=(-5,0),\n",
    "        ha='center',\n",
    "        va='center',\n",
    "        color='#D81159',\n",
    "        weight='bold',\n",
    "        size=7,\n",
    "        textcoords='offset points'\n",
    "    )\n",
    "    text_.set_path_effects(\n",
    "        [path_effects.Stroke(linewidth=1.5, foreground='white'), path_effects.Normal()]\n",
    "    )\n",
    "    # ----------------------------------------------------------------\n",
    "    if label_y:\n",
    "        ax.set_ylabel('Points', color='grey', size=8)\n",
    "    else:\n",
    "        ax.set_yticklabels([])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 146,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1800x1400 with 24 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(9, 7), dpi = 200)\n",
    "nrows = 6\n",
    "ncols = 4\n",
    "gspec = gridspec.GridSpec(\n",
    "    ncols=ncols, nrows=nrows, figure=fig, \n",
    "    height_ratios = [(1/nrows)*2.6 if x % 2 != 0 else (1/nrows)/2.6 for x in range(nrows)], hspace=0.2\n",
    ")\n",
    "\n",
    "plot_counter = 0\n",
    "logo_counter = 0\n",
    "for row in range(nrows):\n",
    "    for col in range(ncols):\n",
    "        if row % 2 != 0:\n",
    "            ax = plt.subplot(\n",
    "                gspec[row, col],\n",
    "                facecolor = \"#EFE9E6\"\n",
    "            )\n",
    "            team = df_top_10['team'].iloc[plot_counter]\n",
    "            if col == 0:\n",
    "                label_y = True\n",
    "            else:\n",
    "                label_y = False\n",
    "            \n",
    "            plot_point_difference(ax, team, label_y)           \n",
    "            plot_counter += 1\n",
    "        else:\n",
    "            teamId = df_top_10['fotmob_id'].iloc[logo_counter]\n",
    "            teamName = df_top_10['team'].iloc[logo_counter]\n",
    "            xpoints = df_top_10['xpoints'].iloc[logo_counter]\n",
    "            apoints = df_top_10['points'].iloc[logo_counter]\n",
    "            fotmob_url = 'https://images.fotmob.com/image_resources/logo/teamlogo/'\n",
    "            logo_ax = plt.subplot(\n",
    "                gspec[row,col],\n",
    "                anchor = 'NW', facecolor = '#EFE9E6'\n",
    "            )\n",
    "            club_icon = Image.open(urllib.request.urlopen(f'{fotmob_url}{teamId:.0f}.png')).convert('LA')\n",
    "            logo_ax.imshow(club_icon)\n",
    "            logo_ax.axis('off')\n",
    "            # -- Add the team name\n",
    "            ax_text(\n",
    "                x = 1.2, \n",
    "                y = 0.7,\n",
    "                s = f'<{teamName}>\\n<Exp. points: {xpoints:.1f}> <|> <Act. points: {apoints:.0f}>',\n",
    "                ax = logo_ax, \n",
    "                highlight_textprops=[{'weight':'bold', 'font':'DM Sans'},{'size':'7', 'color': '#D81159'}, {'size':'7', 'color': 'grey'}, {'size':'7', 'color': '#287271'}],\n",
    "                font = 'Karla', \n",
    "                ha = 'left', \n",
    "                size = 9, \n",
    "                annotationbbox_kw = {'xycoords':'axes fraction'}\n",
    "            )\n",
    "            logo_counter += 1\n",
    "\n",
    "fig_text(\n",
    "    x=0.12, y=.95, \n",
    "    s='Which Teams are Failing to Meet Expectations?',\n",
    "    va='bottom', ha='left',\n",
    "    fontsize=15, color='black', font='DM Sans', weight='bold'\n",
    ")\n",
    "fig_text(\n",
    "\tx=0.12, y=.92, \n",
    "    s='<Expected points> (in probabilistic terms) vs. <actual points> | Probabilities taken from FiveThirtyEight | viz by @sonofacorner',\n",
    "    highlight_textprops=[{'weight':'bold', 'color': '#D81159'}, {'weight':'bold', 'color': '#287271'}],\n",
    "\tva='bottom', ha='left',\n",
    "\tfontsize=8, color='#4E616C', font='Karla'\n",
    ")\n",
    "\n",
    "plt.savefig(\n",
    "\t\"figures/10032022_underperformers.png\",\n",
    "\tdpi = 600,\n",
    "\tfacecolor = \"#EFE9E6\",\n",
    "\tbbox_inches=\"tight\",\n",
    "    edgecolor=\"none\",\n",
    "\ttransparent = False\n",
    ")\n",
    "\n",
    "plt.savefig(\n",
    "\t\"figures/10032022_underperformers_tr.png\",\n",
    "\tdpi = 600,\n",
    "\tfacecolor = \"none\",\n",
    "\tbbox_inches=\"tight\",\n",
    "    edgecolor=\"none\",\n",
    "\ttransparent = True\n",
    ")"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3.7.9 ('.env': venv)",
   "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": "3.7.9"
  },
  "orig_nbformat": 4,
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