get_odds_liverattning.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Get ice hockey odds data \n",
    "\n",
    "This script collects historic sports betting data for swedish ice hockey matches. \n",
    "Source is the statistics web page of the state-owned gambling company in Sweden, \"Svenska Spel\". \n",
    "\n",
    "The script loops over a range of dates and extract data from the home page. \n"
   ]
  },
  {
   "attachments": {
    "image.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Webpage to scrape\n",
    "\n",
    "The datasource is www.liverattning.se, looking like below. \n",
    "https://liverattning.se/statistik/1x2/2019-09-04/powerplay looks like below.\n",
    "\n",
    "* Result -> Result\n",
    "* Tecken -> Sign\n",
    "* Spelad % -> Distribution of placed bets for the game\n",
    "* Rank -> The rank of all placed bets for all games in the round (Rank = 1 -> sign was most played in this round)\n",
    "* Odds -> The odds for outcome of the game\n",
    "\n",
    "![image.png](attachment:image.png)"
   ]
  },
  {
   "attachments": {
    "image.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " Data is structured in a table, and thus data can be extracted with the pandas function \n",
    " ```pd.read_html()```, which extracts data in ```<td></td>``` tags\n",
    " \n",
    " ![image.png](attachment:image.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Code to extract data\n",
    "\n",
    "The approach will be: \n",
    "1. Determine what table needs to be extracted from the webpage\n",
    "2. Loop over all dates and merge into one dataframe\n",
    "3. Clean data\n",
    "\n",
    "Packages what will be used are pretty Let's start coding by importing relevant packages. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "\n",
    "from datetime import datetime\n",
    "from datetime import timedelta\n",
    "\n",
    "import re\n",
    "\n",
    "from urllib.error import HTTPError"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Before setting up the loop, it must be defined what table that should be extracted. There might be multiple tables in the url, and the data to avoid importing too much data it is a good idea to identify and extract only the table containing the relevant data. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of tables: 4\n"
     ]
    }
   ],
   "source": [
    "url_test = \"https://liverattning.se/statistik/1x2/2019-09-04/powerplay\"\n",
    "\n",
    "urldata = pd.read_html(url_test)\n",
    "\n",
    "print(\"Number of tables: \" + str(len(urldata)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "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>#</th>\n",
       "      <th>Match</th>\n",
       "      <th>Resultat</th>\n",
       "      <th>Tecken</th>\n",
       "      <th>Spelad %</th>\n",
       "      <th>Rank</th>\n",
       "      <th>Odds</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>Oskarsh. - Karlskron</td>\n",
       "      <td>2 - 3</td>\n",
       "      <td>1  X  2</td>\n",
       "      <td>68  18  14</td>\n",
       "      <td>2  18  22</td>\n",
       "      <td>1,38  5,40  5,65</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>Kristian. - Rögle</td>\n",
       "      <td>2 - 2</td>\n",
       "      <td>1  X  2</td>\n",
       "      <td>13  16  71</td>\n",
       "      <td>23  21  1</td>\n",
       "      <td>6,25  5,65  1,33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>Västerås - BIK Karls</td>\n",
       "      <td>3 - 3</td>\n",
       "      <td>1  X  2</td>\n",
       "      <td>50  24  26</td>\n",
       "      <td>5  16  12</td>\n",
       "      <td>1,86  4,45  3,27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>Tranås - Vita Häst</td>\n",
       "      <td>4 - 5</td>\n",
       "      <td>1  X  2</td>\n",
       "      <td>28  25  47</td>\n",
       "      <td>10  15  6</td>\n",
       "      <td>3,95  4,65  1,59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>Tingsryd - Nybro</td>\n",
       "      <td>3 - 1</td>\n",
       "      <td>1  X  2</td>\n",
       "      <td>65  18  17</td>\n",
       "      <td>4  18  20</td>\n",
       "      <td>1,44  5,15  5,05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>6</td>\n",
       "      <td>Din Riga - T Novgoro</td>\n",
       "      <td>3 - 0</td>\n",
       "      <td>1  X  2</td>\n",
       "      <td>46  26  28</td>\n",
       "      <td>7  12  10</td>\n",
       "      <td>2,28  4,15  2,65</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>7</td>\n",
       "      <td>Dyn Moskv - Din Minsk</td>\n",
       "      <td>3 - 2</td>\n",
       "      <td>1  X  2</td>\n",
       "      <td>67  20  13</td>\n",
       "      <td>3  17  23</td>\n",
       "      <td>1,40  5,15  6,60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>8</td>\n",
       "      <td>HC Sotji - Nizjnekam</td>\n",
       "      <td>3 - 2</td>\n",
       "      <td>1  X  2</td>\n",
       "      <td>43  26  31</td>\n",
       "      <td>8  12  9</td>\n",
       "      <td>1,90  4,10  3,50</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   #                  Match Resultat   Tecken    Spelad %       Rank  \\\n",
       "0  1   Oskarsh. - Karlskron    2 - 3  1  X  2  68  18  14  2  18  22   \n",
       "1  2      Kristian. - Rögle    2 - 2  1  X  2  13  16  71  23  21  1   \n",
       "2  3   Västerås - BIK Karls    3 - 3  1  X  2  50  24  26  5  16  12   \n",
       "3  4     Tranås - Vita Häst    4 - 5  1  X  2  28  25  47  10  15  6   \n",
       "4  5       Tingsryd - Nybro    3 - 1  1  X  2  65  18  17  4  18  20   \n",
       "5  6   Din Riga - T Novgoro    3 - 0  1  X  2  46  26  28  7  12  10   \n",
       "6  7  Dyn Moskv - Din Minsk    3 - 2  1  X  2  67  20  13  3  17  23   \n",
       "7  8   HC Sotji - Nizjnekam    3 - 2  1  X  2  43  26  31   8  12  9   \n",
       "\n",
       "               Odds  \n",
       "0  1,38  5,40  5,65  \n",
       "1  6,25  5,65  1,33  \n",
       "2  1,86  4,45  3,27  \n",
       "3  3,95  4,65  1,59  \n",
       "4  1,44  5,15  5,05  \n",
       "5  2,28  4,15  2,65  \n",
       "6  1,40  5,15  6,60  \n",
       "7  1,90  4,10  3,50  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Get data for all tables, print the first table\n",
    "tbl_1=pd.read_html(url_test)[0]\n",
    "tbl_2=pd.read_html(url_test)[1]\n",
    "tbl_3=pd.read_html(url_test)[2]\n",
    "tbl_4=pd.read_html(url_test)[3]\n",
    "\n",
    "tbl_1.head(n=10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The relevant data is in table with index 0, so this one will be extracted."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Looping over dates and collecting data\n",
    "\n",
    "Time to set up the loop over dates and collect all data. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Set start and stop data\n",
    "start_date = \"2019-09-01\"\n",
    "stop_date = \"2020-04-10\"\n",
    "\n",
    "# Convert to datetime values\n",
    "start = datetime.strptime(start_date, \"%Y-%m-%d\")\n",
    "stop = datetime.strptime(stop_date, \"%Y-%m-%d\")\n",
    "\n",
    "# Initiate empty list\n",
    "htmldata = []\n",
    "error_dates = []\n",
    "\n",
    "# Loop over range of date, extracting table with index 0\n",
    "while start < stop:   \n",
    "    url = \"https://liverattning.se/statistik/1x2/\" + str(start.date()) + \"/powerplay\"\n",
    "    try:\n",
    "        htmldata.append(pd.read_html(url)[0].assign(date=start.date()))        \n",
    "    except HTTPError:\n",
    "        error_dates.append(url)\n",
    "        \n",
    "    start = start + timedelta(days=1)  # increment by one day\n",
    "   \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of rows: 1528\n"
     ]
    },
    {
     "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>#</th>\n",
       "      <th>Match</th>\n",
       "      <th>Resultat</th>\n",
       "      <th>Tecken</th>\n",
       "      <th>Spelad %</th>\n",
       "      <th>Rank</th>\n",
       "      <th>Odds</th>\n",
       "      <th>date</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>Skelleft. - Grenoble</td>\n",
       "      <td>1 - 2</td>\n",
       "      <td>1  X  2</td>\n",
       "      <td>81  13  6</td>\n",
       "      <td>1  21  24</td>\n",
       "      <td>1,13  8,50  12,70</td>\n",
       "      <td>2019-09-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>Frölunda - HC Mountf</td>\n",
       "      <td>2 - 3</td>\n",
       "      <td>1  X  2</td>\n",
       "      <td>76  16  8</td>\n",
       "      <td>2  19  23</td>\n",
       "      <td>1,34  5,70  6,25</td>\n",
       "      <td>2019-09-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>Vienna - Djurgård.</td>\n",
       "      <td>1 - 2</td>\n",
       "      <td>1  X  2</td>\n",
       "      <td>24  24  52</td>\n",
       "      <td>15  15  5</td>\n",
       "      <td>4,40  5,45  1,49</td>\n",
       "      <td>2019-09-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>GKS Tychy - Mannheim</td>\n",
       "      <td>2 - 2</td>\n",
       "      <td>1  X  2</td>\n",
       "      <td>11  14  75</td>\n",
       "      <td>22  20  3</td>\n",
       "      <td>10,50  7,60  1,17</td>\n",
       "      <td>2019-09-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>Card Devi - EC Graz</td>\n",
       "      <td>3 - 3</td>\n",
       "      <td>1  X  2</td>\n",
       "      <td>31  27  42</td>\n",
       "      <td>9  12  8</td>\n",
       "      <td>2,85  4,45  1,99</td>\n",
       "      <td>2019-09-01</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   #                 Match Resultat   Tecken    Spelad %       Rank  \\\n",
       "0  1  Skelleft. - Grenoble    1 - 2  1  X  2   81  13  6  1  21  24   \n",
       "1  2  Frölunda - HC Mountf    2 - 3  1  X  2   76  16  8  2  19  23   \n",
       "2  3    Vienna - Djurgård.    1 - 2  1  X  2  24  24  52  15  15  5   \n",
       "3  4  GKS Tychy - Mannheim    2 - 2  1  X  2  11  14  75  22  20  3   \n",
       "4  5   Card Devi - EC Graz    3 - 3  1  X  2  31  27  42   9  12  8   \n",
       "\n",
       "                Odds        date  \n",
       "0  1,13  8,50  12,70  2019-09-01  \n",
       "1   1,34  5,70  6,25  2019-09-01  \n",
       "2   4,40  5,45  1,49  2019-09-01  \n",
       "3  10,50  7,60  1,17  2019-09-01  \n",
       "4   2,85  4,45  1,99  2019-09-01  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Turn list into dataframe\n",
    "df=pd.concat(htmldata)\n",
    "print(\"Number of rows: \" + str(df.shape[0]))\n",
    "df.head()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Data cleaning\n",
    "\n",
    "Output above looks nice, but there is some cleaning to do before it can be used for further analysis. \n",
    "\n",
    "#### Separate columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "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>Match</th>\n",
       "      <th>Resultat</th>\n",
       "      <th>Spelad</th>\n",
       "      <th>Odds</th>\n",
       "      <th>date</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Skelleft. - Grenoble</td>\n",
       "      <td>1 - 2</td>\n",
       "      <td>81 13 6</td>\n",
       "      <td>1,13 8,50 12,70</td>\n",
       "      <td>2019-09-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Frölunda - HC Mountf</td>\n",
       "      <td>2 - 3</td>\n",
       "      <td>76 16 8</td>\n",
       "      <td>1,34 5,70 6,25</td>\n",
       "      <td>2019-09-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Vienna - Djurgård.</td>\n",
       "      <td>1 - 2</td>\n",
       "      <td>24 24 52</td>\n",
       "      <td>4,40 5,45 1,49</td>\n",
       "      <td>2019-09-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>GKS Tychy - Mannheim</td>\n",
       "      <td>2 - 2</td>\n",
       "      <td>11 14 75</td>\n",
       "      <td>10,50 7,60 1,17</td>\n",
       "      <td>2019-09-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Card Devi - EC Graz</td>\n",
       "      <td>3 - 3</td>\n",
       "      <td>31 27 42</td>\n",
       "      <td>2,85 4,45 1,99</td>\n",
       "      <td>2019-09-01</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  Match Resultat    Spelad             Odds        date\n",
       "0  Skelleft. - Grenoble    1 - 2   81 13 6  1,13 8,50 12,70  2019-09-01\n",
       "1  Frölunda - HC Mountf    2 - 3   76 16 8   1,34 5,70 6,25  2019-09-01\n",
       "2    Vienna - Djurgård.    1 - 2  24 24 52   4,40 5,45 1,49  2019-09-01\n",
       "3  GKS Tychy - Mannheim    2 - 2  11 14 75  10,50 7,60 1,17  2019-09-01\n",
       "4   Card Devi - EC Graz    3 - 3  31 27 42   2,85 4,45 1,99  2019-09-01"
      ]
     },
     "execution_count": 86,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Drop not needed columns\n",
    "df_games = df.drop(['#', 'Tecken', 'Rank'], axis=1)\n",
    "df_games.columns = df_games.columns.str.replace(' %', '')\n",
    "\n",
    "# Remove eventual consecutive spaces\n",
    "df_games.Spelad = df_games.Spelad.str.replace(' +', ' ') \n",
    "df_games.Odds = df_games.Odds.str.replace(' +', ' ') \n",
    "\n",
    "df_games.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The columns ```Match```, ```Resultat```, ```Spelad``` and ```Odds``` has to be separated. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "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>Match</th>\n",
       "      <th>Resultat</th>\n",
       "      <th>date</th>\n",
       "      <th>home</th>\n",
       "      <th>away</th>\n",
       "      <th>score_home</th>\n",
       "      <th>score_away</th>\n",
       "      <th>played_1</th>\n",
       "      <th>played_X</th>\n",
       "      <th>played_2</th>\n",
       "      <th>odds_1</th>\n",
       "      <th>odds_X</th>\n",
       "      <th>odds_2</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Skelleft. - Grenoble</td>\n",
       "      <td>1 - 2</td>\n",
       "      <td>2019-09-01</td>\n",
       "      <td>Skelleft.</td>\n",
       "      <td>Grenoble</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>81</td>\n",
       "      <td>13</td>\n",
       "      <td>6</td>\n",
       "      <td>1,13</td>\n",
       "      <td>8,50</td>\n",
       "      <td>12,70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Frölunda - HC Mountf</td>\n",
       "      <td>2 - 3</td>\n",
       "      <td>2019-09-01</td>\n",
       "      <td>Frölunda</td>\n",
       "      <td>HC Mountf</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>76</td>\n",
       "      <td>16</td>\n",
       "      <td>8</td>\n",
       "      <td>1,34</td>\n",
       "      <td>5,70</td>\n",
       "      <td>6,25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Vienna - Djurgård.</td>\n",
       "      <td>1 - 2</td>\n",
       "      <td>2019-09-01</td>\n",
       "      <td>Vienna</td>\n",
       "      <td>Djurgård.</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>24</td>\n",
       "      <td>24</td>\n",
       "      <td>52</td>\n",
       "      <td>4,40</td>\n",
       "      <td>5,45</td>\n",
       "      <td>1,49</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>GKS Tychy - Mannheim</td>\n",
       "      <td>2 - 2</td>\n",
       "      <td>2019-09-01</td>\n",
       "      <td>GKS Tychy</td>\n",
       "      <td>Mannheim</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>11</td>\n",
       "      <td>14</td>\n",
       "      <td>75</td>\n",
       "      <td>10,50</td>\n",
       "      <td>7,60</td>\n",
       "      <td>1,17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Card Devi - EC Graz</td>\n",
       "      <td>3 - 3</td>\n",
       "      <td>2019-09-01</td>\n",
       "      <td>Card Devi</td>\n",
       "      <td>EC Graz</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>31</td>\n",
       "      <td>27</td>\n",
       "      <td>42</td>\n",
       "      <td>2,85</td>\n",
       "      <td>4,45</td>\n",
       "      <td>1,99</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  Match Resultat        date        home        away  \\\n",
       "0  Skelleft. - Grenoble    1 - 2  2019-09-01  Skelleft.     Grenoble   \n",
       "1  Frölunda - HC Mountf    2 - 3  2019-09-01   Frölunda    HC Mountf   \n",
       "2    Vienna - Djurgård.    1 - 2  2019-09-01     Vienna    Djurgård.   \n",
       "3  GKS Tychy - Mannheim    2 - 2  2019-09-01  GKS Tychy     Mannheim   \n",
       "4   Card Devi - EC Graz    3 - 3  2019-09-01  Card Devi      EC Graz   \n",
       "\n",
       "  score_home score_away played_1 played_X played_2 odds_1 odds_X odds_2  \n",
       "0         1           2       81       13        6   1,13   8,50  12,70  \n",
       "1         2           3       76       16        8   1,34   5,70   6,25  \n",
       "2         1           2       24       24       52   4,40   5,45   1,49  \n",
       "3         2           2       11       14       75  10,50   7,60   1,17  \n",
       "4         3           3       31       27       42   2,85   4,45   1,99  "
      ]
     },
     "execution_count": 87,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Split columns\n",
    "df_games[['home', 'away']] = df_games.Match.str.split('-', expand = True, n=1)\n",
    "df_games[['score_home', 'score_away']] = df_games.Resultat.str.split('-', expand = True, n=1)\n",
    "df_games[['played_1', 'played_X', 'played_2']] = df_games.Spelad.str.split(' ', expand = True, n=2)\n",
    "df_games[['odds_1', 'odds_X', 'odds_2']] = df_games.Odds.str.split(' ', expand = True, n=2)\n",
    "\n",
    "# Strip the string columns\n",
    "df_obj = df_games.select_dtypes(['string'])\n",
    "df_games[df_obj.columns] = df_obj.apply(lambda x: x.str.strip())\n",
    "\n",
    "df_games= df_games.drop(['Spelad', 'Odds'], axis=1)\n",
    "df_games.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Clean up team names by fuzzy matching\n",
    "\n",
    "Next step is to check the team names. It seems some of them are abbreviated, so to be on the safe side, this should be checked. For example , the team Djurgården has been written in several ways. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "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>Match</th>\n",
       "      <th>Resultat</th>\n",
       "      <th>date</th>\n",
       "      <th>home</th>\n",
       "      <th>away</th>\n",
       "      <th>score_home</th>\n",
       "      <th>score_away</th>\n",
       "      <th>played_1</th>\n",
       "      <th>played_X</th>\n",
       "      <th>played_2</th>\n",
       "      <th>odds_1</th>\n",
       "      <th>odds_X</th>\n",
       "      <th>odds_2</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Djurgård. - Vienna</td>\n",
       "      <td>3 - 6</td>\n",
       "      <td>2019-09-06</td>\n",
       "      <td>Djurgård.</td>\n",
       "      <td>Vienna</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>79</td>\n",
       "      <td>13</td>\n",
       "      <td>8</td>\n",
       "      <td>1,28</td>\n",
       "      <td>6,40</td>\n",
       "      <td>7,00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Djurgård. - Linköping</td>\n",
       "      <td>4 - 2</td>\n",
       "      <td>2019-09-14</td>\n",
       "      <td>Djurgård.</td>\n",
       "      <td>Linköping</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>68</td>\n",
       "      <td>17</td>\n",
       "      <td>15</td>\n",
       "      <td>1,81</td>\n",
       "      <td>4,45</td>\n",
       "      <td>3,85</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Djurgården - Linköping</td>\n",
       "      <td>0 - 0</td>\n",
       "      <td>2019-09-14</td>\n",
       "      <td>Djurgården</td>\n",
       "      <td>Linköping</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>32</td>\n",
       "      <td>44</td>\n",
       "      <td>24</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Djurgård. - Örebro</td>\n",
       "      <td>4 - 2</td>\n",
       "      <td>2019-09-19</td>\n",
       "      <td>Djurgård.</td>\n",
       "      <td>Örebro</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>61</td>\n",
       "      <td>20</td>\n",
       "      <td>19</td>\n",
       "      <td>1,76</td>\n",
       "      <td>4,50</td>\n",
       "      <td>4,05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Djurgård. - HV71</td>\n",
       "      <td>1 - 1</td>\n",
       "      <td>2019-09-26</td>\n",
       "      <td>Djurgård.</td>\n",
       "      <td>HV71</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>61</td>\n",
       "      <td>21</td>\n",
       "      <td>18</td>\n",
       "      <td>1,78</td>\n",
       "      <td>4,40</td>\n",
       "      <td>4,00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                    Match Resultat        date         home        away  \\\n",
       "6      Djurgård. - Vienna    3 - 6  2019-09-06   Djurgård.       Vienna   \n",
       "6   Djurgård. - Linköping    4 - 2  2019-09-14   Djurgård.    Linköping   \n",
       "7  Djurgården - Linköping    0 - 0  2019-09-14  Djurgården    Linköping   \n",
       "0      Djurgård. - Örebro    4 - 2  2019-09-19   Djurgård.       Örebro   \n",
       "0        Djurgård. - HV71    1 - 1  2019-09-26   Djurgård.         HV71   \n",
       "\n",
       "  score_home score_away played_1 played_X played_2 odds_1 odds_X odds_2  \n",
       "6         3           6       79       13        8   1,28   6,40   7,00  \n",
       "6         4           2       68       17       15   1,81   4,45   3,85  \n",
       "7         0           0       32       44       24    NaN    NaN    NaN  \n",
       "0         4           2       61       20       19   1,76   4,50   4,05  \n",
       "0         1           1       61       21       18   1,78   4,40   4,00  "
      ]
     },
     "execution_count": 88,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_games[df_games['home'].str.contains('Djurg')].head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The inconsistant naming has to be adjusted, which will be handled  by using the ```fuzzywuzzy``` package. This packages uses the Levenshtein Distance to calculate the differences between sequences in strings. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "fuzz.ratio 84\n",
      "fuzz.partial_ratio 89\n"
     ]
    }
   ],
   "source": [
    "from fuzzywuzzy import fuzz\n",
    "from fuzzywuzzy import process\n",
    "\n",
    "# Partial ratio uses the shortest string for matching -> thus higher fuzz_ratio\n",
    "print(\"fuzz.ratio \" + str(fuzz.ratio(\"Djurgården\", \"Djurgård.\")))\n",
    "print(\"fuzz.partial_ratio \" + str(fuzz.partial_ratio(\"Djurgården\", \"Djurgård.\")))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "I have prepared a dataset with cleaned teamnames, which is imported and used as the \"master\"-name."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0       Frölunda HC\n",
       "1    Skellefteå AIK\n",
       "2       Leksands IF\n",
       "3    Djurgårdens IF\n",
       "4      Färjestad BK\n",
       "Name: teams, dtype: object"
      ]
     },
     "execution_count": 90,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import os\n",
    "notebook_path = os.path.abspath(\"get_odds_liverattning.ipynb\")\n",
    "df_teamnames = pd.read_csv(os.path.join(os.path.dirname(notebook_path),\"data/teamnames.csv\"), encoding= 'unicode_escape')\n",
    "\n",
    "# Turn dataframe into series\n",
    "teams = df_teamnames.iloc[:,0]\n",
    "\n",
    "teams.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's set up a function that matches input to string to all teamnames, and outputs the max value.\n",
    "The function also includes a threshold value for the matching, to ensure it doesnt return any unlogical matches. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_max_fuzz(string, teamnames, fuzz_threshold):\n",
    "    \n",
    "    fuzz_value = 0\n",
    "    # Loop over all names in the master-teamnames\n",
    "    for index, teamname in enumerate(teamnames):\n",
    "        if fuzz.partial_ratio(string, teamnames[index])>fuzz_value:\n",
    "            fuzz_value=fuzz.partial_ratio(string.lower(), teamnames[index].lower())\n",
    "            fuzz_team = teamnames[index]\n",
    "        \n",
    "    if fuzz_value > fuzz_threshold:\n",
    "        return fuzz_team\n",
    "    else:\n",
    "        return string"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "test1234\n",
      "IK Oskarshamn\n",
      "Djurgårdens IF\n",
      "Västerås IK\n"
     ]
    }
   ],
   "source": [
    "# Some examples\n",
    "print(get_max_fuzz(\"test1234\", teams,60))\n",
    "print(get_max_fuzz(\"Oskarsh\", teams,60))\n",
    "print(get_max_fuzz(\"Djurg.\", teams,60))\n",
    "print(get_max_fuzz(\"Väst.\", teams,60))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Applying this function to our dataset will give us the matching values. \n",
    "I use 70 as threshold, as this will return values which are pretty similar. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "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>home</th>\n",
       "      <th>home_fuzzmatch</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Skelleft.</td>\n",
       "      <td>Skellefteå AIK</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Frölunda</td>\n",
       "      <td>Frölunda HC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Vienna</td>\n",
       "      <td>Vienna</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>GKS Tychy</td>\n",
       "      <td>GKS Tychy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Card Devi</td>\n",
       "      <td>Card Devi</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Pelicans</td>\n",
       "      <td>Pelicans</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Kärpät</td>\n",
       "      <td>Kärpät</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Örebro</td>\n",
       "      <td>Örebro HK</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Oskarsh.</td>\n",
       "      <td>IK Oskarshamn</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Kristian.</td>\n",
       "      <td>Kristianstads IK</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         home    home_fuzzmatch\n",
       "0  Skelleft.     Skellefteå AIK\n",
       "1   Frölunda        Frölunda HC\n",
       "2     Vienna            Vienna \n",
       "3  GKS Tychy         GKS Tychy \n",
       "4  Card Devi         Card Devi \n",
       "5   Pelicans          Pelicans \n",
       "6     Kärpät            Kärpät \n",
       "7     Örebro          Örebro HK\n",
       "0   Oskarsh.      IK Oskarshamn\n",
       "1  Kristian.   Kristianstads IK"
      ]
     },
     "execution_count": 93,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_games['home_fuzzmatch'] = df_games.apply(lambda x: get_max_fuzz(x.home, teams, 70), axis=1)\n",
    "df_games['away_fuzzmatch'] = df_games.apply(lambda x: get_max_fuzz(x.away, teams, 70), axis=1)\n",
    "\n",
    "\n",
    "df_games[['home', 'home_fuzzmatch']].head(n=10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Last cleanup and \n",
    "\n",
    "In the last step will be to drop some columns and add new ones that will be good to have when analyzing the data. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "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>Match</th>\n",
       "      <th>Resultat</th>\n",
       "      <th>date</th>\n",
       "      <th>score_home</th>\n",
       "      <th>score_away</th>\n",
       "      <th>played_1</th>\n",
       "      <th>played_X</th>\n",
       "      <th>played_2</th>\n",
       "      <th>odds_1</th>\n",
       "      <th>odds_X</th>\n",
       "      <th>odds_2</th>\n",
       "      <th>home</th>\n",
       "      <th>away</th>\n",
       "      <th>outcome</th>\n",
       "      <th>odds_outcome</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Skelleft. - Grenoble</td>\n",
       "      <td>1 - 2</td>\n",
       "      <td>2019-09-01</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>81</td>\n",
       "      <td>13</td>\n",
       "      <td>6</td>\n",
       "      <td>1,13</td>\n",
       "      <td>8,50</td>\n",
       "      <td>12,70</td>\n",
       "      <td>Skellefteå AIK</td>\n",
       "      <td>Grenoble</td>\n",
       "      <td>2</td>\n",
       "      <td>12,70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Frölunda - HC Mountf</td>\n",
       "      <td>2 - 3</td>\n",
       "      <td>2019-09-01</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>76</td>\n",
       "      <td>16</td>\n",
       "      <td>8</td>\n",
       "      <td>1,34</td>\n",
       "      <td>5,70</td>\n",
       "      <td>6,25</td>\n",
       "      <td>Frölunda HC</td>\n",
       "      <td>HC Mountf</td>\n",
       "      <td>2</td>\n",
       "      <td>6,25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Vienna - Djurgård.</td>\n",
       "      <td>1 - 2</td>\n",
       "      <td>2019-09-01</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>24</td>\n",
       "      <td>24</td>\n",
       "      <td>52</td>\n",
       "      <td>4,40</td>\n",
       "      <td>5,45</td>\n",
       "      <td>1,49</td>\n",
       "      <td>Vienna</td>\n",
       "      <td>Djurgårdens IF</td>\n",
       "      <td>2</td>\n",
       "      <td>1,49</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>GKS Tychy - Mannheim</td>\n",
       "      <td>2 - 2</td>\n",
       "      <td>2019-09-01</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>11</td>\n",
       "      <td>14</td>\n",
       "      <td>75</td>\n",
       "      <td>10,50</td>\n",
       "      <td>7,60</td>\n",
       "      <td>1,17</td>\n",
       "      <td>GKS Tychy</td>\n",
       "      <td>Mannheim</td>\n",
       "      <td>X</td>\n",
       "      <td>7,60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Card Devi - EC Graz</td>\n",
       "      <td>3 - 3</td>\n",
       "      <td>2019-09-01</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>31</td>\n",
       "      <td>27</td>\n",
       "      <td>42</td>\n",
       "      <td>2,85</td>\n",
       "      <td>4,45</td>\n",
       "      <td>1,99</td>\n",
       "      <td>Card Devi</td>\n",
       "      <td>EC Graz</td>\n",
       "      <td>X</td>\n",
       "      <td>4,45</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  Match Resultat        date score_home score_away played_1  \\\n",
       "0  Skelleft. - Grenoble    1 - 2  2019-09-01         1           2       81   \n",
       "1  Frölunda - HC Mountf    2 - 3  2019-09-01         2           3       76   \n",
       "2    Vienna - Djurgård.    1 - 2  2019-09-01         1           2       24   \n",
       "3  GKS Tychy - Mannheim    2 - 2  2019-09-01         2           2       11   \n",
       "4   Card Devi - EC Graz    3 - 3  2019-09-01         3           3       31   \n",
       "\n",
       "  played_X played_2 odds_1 odds_X odds_2            home            away  \\\n",
       "0       13        6   1,13   8,50  12,70  Skellefteå AIK        Grenoble   \n",
       "1       16        8   1,34   5,70   6,25     Frölunda HC       HC Mountf   \n",
       "2       24       52   4,40   5,45   1,49         Vienna   Djurgårdens IF   \n",
       "3       14       75  10,50   7,60   1,17      GKS Tychy         Mannheim   \n",
       "4       27       42   2,85   4,45   1,99      Card Devi          EC Graz   \n",
       "\n",
       "  outcome odds_outcome  \n",
       "0       2        12,70  \n",
       "1       2         6,25  \n",
       "2       2         1,49  \n",
       "3       X         7,60  \n",
       "4       X         4,45  "
      ]
     },
     "execution_count": 94,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_games= df_games.drop(['home', 'away'], axis=1)\n",
    "df_games = df_games.rename(columns={\"home_fuzzmatch\": \"home\", \"away_fuzzmatch\": \"away\"})\n",
    "\n",
    "# Remove rows without score\n",
    "df_games = df_games[df_games['score_home']!='']\n",
    "\n",
    "# Define outcome result\n",
    "df_games['outcome'] = \"1\"\n",
    "df_games.loc[df_games['score_home'].astype(float)==df_games['score_away'].astype(float),'outcome'] = \"X\"\n",
    "df_games.loc[df_games['score_home'].astype(float)<df_games['score_away'].astype(float),'outcome'] = \"2\"\n",
    "\n",
    "#Define outcome odds\n",
    "df_games['odds_outcome'] = df_games.apply(lambda row: row['odds_1'] if row['outcome'] == '1' else\n",
    "                                            (row['odds_X'] if row['outcome'] == 'X' else\n",
    "                                             (row['odds_2'] if row['outcome'] == '2' else row)), axis=1)\n",
    "\n",
    "df_games.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_games.to_csv(\"data/sweden_odds.csv\", index=False)"
   ]
  }
 ],
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