bayes_qb_tds.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Bayesian analysis of QB TDs / game\n",
    "\n",
    "This approach is a rough first pass at running bayesian analysis on a particular NFL metric.\n",
    "\n",
    "## approach\n",
    "\n",
    "The data used to inform the model is a set of statistics of all QBs who played full (16-game) seasons from 2009-2015. The resulting dataset is 1456 games, amounting to 91 player-seasons.\n",
    "\n",
    "All player-seasons are bucketed into 5 'buckets' depending on a simple heuristic of average touchdowns over the course of the season (from 0.5 to 2.5 in increments of 0.5). These are defined in order as:\n",
    "\n",
    "```\n",
    "buckets = {\n",
    "    1: 'bad',\n",
    "    2: 'meh',\n",
    "    3: 'ok',\n",
    "    4: 'good',\n",
    "    5: 'great',\n",
    "}\n",
    "```\n",
    "\n",
    "The normalized histogram of this bucketing scheme is the **prior** of the model - in other words, how likely it is that a given player is bad, meh, ok, good, or great.\n",
    "\n",
    "The **likelihood** of the model is defined by the probability of scoring `x` touchdowns in a game for each bucket. If a QB is bad, his probability of scoring 0-1 touchdowns is much higher than a great QB's. For example, Geno Smith had an abysmal 2013, averaging 0.75 touchdowns per game, whereas Drew Brees in 2011 had an incredible season (2.88 touchdowns per game). Geno's TD probability distribution is going to be heavily skewed to the left, whereas Drew's will look closer to a bell curve. These players's seasons are analyzed at the end of the notebook.\n",
    "\n",
    "Even though this model is crude, it will ideally adapt to a player's performance over the course of a season in at least a qualitative way (i.e. we won't be confused when we look at graphs in extreme cases). Starting from no evidence at the beginning of a season, we should continually get a better understanding of a player's performance week by week."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# stuff we need\n",
    "import math\n",
    "import matplotlib.pyplot as plt\n",
    "import petl\n",
    "import psycopg2\n",
    "\n",
    "\n",
    "# big inline graphs by default\n",
    "%matplotlib inline\n",
    "plt.rcParams['figure.figsize'] = (20.0, 10.0)\n",
    "\n",
    "# suppress bullshit scipy warnings\n",
    "import warnings\n",
    "warnings.filterwarnings(action=\"ignore\", module=\"scipy\", message=\"^internal gelsd\")\n",
    "\n",
    "# global connection for db\n",
    "conn = psycopg2.connect('dbname=nfldb')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# pull data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table class='petl'>\n",
       "<thead>\n",
       "<tr>\n",
       "<th>year</th>\n",
       "<th>full_name</th>\n",
       "<th>avg_yds</th>\n",
       "<th>avg_tds</th>\n",
       "<th>avg_int</th>\n",
       "<th>avg_cmp</th>\n",
       "<th>avg_att</th>\n",
       "<th>std_yds</th>\n",
       "<th>std_tds</th>\n",
       "<th>std_int</th>\n",
       "<th>std_cmp</th>\n",
       "<th>std_att</th>\n",
       "<th>num_games</th>\n",
       "</tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "<tr>\n",
       "<td style='text-align: right'>2009</td>\n",
       "<td>Aaron Rodgers</td>\n",
       "<td>277.13</td>\n",
       "<td>1.88</td>\n",
       "<td>0.44</td>\n",
       "<td>21.88</td>\n",
       "<td>33.81</td>\n",
       "<td>68.14</td>\n",
       "<td>0.96</td>\n",
       "<td>0.89</td>\n",
       "<td>6.20</td>\n",
       "<td>8.61</td>\n",
       "<td style='text-align: right'>16</td>\n",
       "</tr>\n",
       "<tr>\n",
       "<td style='text-align: right'>2009</td>\n",
       "<td>Alex Smith</td>\n",
       "<td>213.64</td>\n",
       "<td>1.64</td>\n",
       "<td>1.09</td>\n",
       "<td>20.45</td>\n",
       "<td>33.82</td>\n",
       "<td>55.69</td>\n",
       "<td>0.92</td>\n",
       "<td>1.14</td>\n",
       "<td>4.95</td>\n",
       "<td>7.85</td>\n",
       "<td style='text-align: right'>11</td>\n",
       "</tr>\n",
       "<tr>\n",
       "<td style='text-align: right'>2009</td>\n",
       "<td>Ben Roethlisberger</td>\n",
       "<td>288.53</td>\n",
       "<td>1.73</td>\n",
       "<td>0.80</td>\n",
       "<td>22.47</td>\n",
       "<td>33.73</td>\n",
       "<td>96.10</td>\n",
       "<td>1.10</td>\n",
       "<td>0.68</td>\n",
       "<td>5.53</td>\n",
       "<td>6.52</td>\n",
       "<td style='text-align: right'>15</td>\n",
       "</tr>\n",
       "<tr>\n",
       "<td style='text-align: right'>2009</td>\n",
       "<td>Brian Hoyer</td>\n",
       "<td>47.33</td>\n",
       "<td>0.00</td>\n",
       "<td>0.00</td>\n",
       "<td>6.33</td>\n",
       "<td>9.00</td>\n",
       "<td>26.31</td>\n",
       "<td>0.00</td>\n",
       "<td>0.00</td>\n",
       "<td>3.79</td>\n",
       "<td>4.36</td>\n",
       "<td style='text-align: right'>3</td>\n",
       "</tr>\n",
       "<tr>\n",
       "<td style='text-align: right'>2009</td>\n",
       "<td>Carson Palmer</td>\n",
       "<td>193.38</td>\n",
       "<td>1.31</td>\n",
       "<td>0.81</td>\n",
       "<td>17.63</td>\n",
       "<td>29.13</td>\n",
       "<td>77.50</td>\n",
       "<td>1.30</td>\n",
       "<td>0.75</td>\n",
       "<td>5.77</td>\n",
       "<td>8.06</td>\n",
       "<td style='text-align: right'>16</td>\n",
       "</tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/plain": [
       "+------+----------------------+-------------------+-----------------+-----------------+------------------+------------------+------------------+-----------------+-----------------+-----------------+-----------------+-----------+\n",
       "| year | full_name            | avg_yds           | avg_tds         | avg_int         | avg_cmp          | avg_att          | std_yds          | std_tds         | std_int         | std_cmp         | std_att         | num_games |\n",
       "+======+======================+===================+=================+=================+==================+==================+==================+=================+=================+=================+=================+===========+\n",
       "| 2009 | 'Aaron Rodgers'      | Decimal('277.13') | Decimal('1.88') | Decimal('0.44') | Decimal('21.88') | Decimal('33.81') | Decimal('68.14') | Decimal('0.96') | Decimal('0.89') | Decimal('6.20') | Decimal('8.61') |        16 |\n",
       "+------+----------------------+-------------------+-----------------+-----------------+------------------+------------------+------------------+-----------------+-----------------+-----------------+-----------------+-----------+\n",
       "| 2009 | 'Alex Smith'         | Decimal('213.64') | Decimal('1.64') | Decimal('1.09') | Decimal('20.45') | Decimal('33.82') | Decimal('55.69') | Decimal('0.92') | Decimal('1.14') | Decimal('4.95') | Decimal('7.85') |        11 |\n",
       "+------+----------------------+-------------------+-----------------+-----------------+------------------+------------------+------------------+-----------------+-----------------+-----------------+-----------------+-----------+\n",
       "| 2009 | 'Ben Roethlisberger' | Decimal('288.53') | Decimal('1.73') | Decimal('0.80') | Decimal('22.47') | Decimal('33.73') | Decimal('96.10') | Decimal('1.10') | Decimal('0.68') | Decimal('5.53') | Decimal('6.52') |        15 |\n",
       "+------+----------------------+-------------------+-----------------+-----------------+------------------+------------------+------------------+-----------------+-----------------+-----------------+-----------------+-----------+\n",
       "| 2009 | 'Brian Hoyer'        | Decimal('47.33')  | Decimal('0.00') | Decimal('0.00') | Decimal('6.33')  | Decimal('9.00')  | Decimal('26.31') | Decimal('0.00') | Decimal('0.00') | Decimal('3.79') | Decimal('4.36') |         3 |\n",
       "+------+----------------------+-------------------+-----------------+-----------------+------------------+------------------+------------------+-----------------+-----------------+-----------------+-----------------+-----------+\n",
       "| 2009 | 'Carson Palmer'      | Decimal('193.38') | Decimal('1.31') | Decimal('0.81') | Decimal('17.63') | Decimal('29.13') | Decimal('77.50') | Decimal('1.30') | Decimal('0.75') | Decimal('5.77') | Decimal('8.06') |        16 |\n",
       "+------+----------------------+-------------------+-----------------+-----------------+------------------+------------------+------------------+-----------------+-----------------+-----------------+-----------------+-----------+"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# get season-level aggregate data\n",
    "qb_agg = petl.fromdb(conn, 'select * from lombardi.qb_aggs')\n",
    "qb_agg.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table class='petl'>\n",
       "<thead>\n",
       "<tr>\n",
       "<th>year</th>\n",
       "<th>full_name</th>\n",
       "<th>avg_tds</th>\n",
       "<th>bucket_num</th>\n",
       "<th>bucket</th>\n",
       "</tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "<tr>\n",
       "<td style='text-align: right'>2009</td>\n",
       "<td>Aaron Rodgers</td>\n",
       "<td>1.88</td>\n",
       "<td style='text-align: right'>3</td>\n",
       "<td>ok</td>\n",
       "</tr>\n",
       "<tr>\n",
       "<td style='text-align: right'>2009</td>\n",
       "<td>Carson Palmer</td>\n",
       "<td>1.31</td>\n",
       "<td style='text-align: right'>2</td>\n",
       "<td>meh</td>\n",
       "</tr>\n",
       "<tr>\n",
       "<td style='text-align: right'>2009</td>\n",
       "<td>Eli Manning</td>\n",
       "<td>1.69</td>\n",
       "<td style='text-align: right'>3</td>\n",
       "<td>ok</td>\n",
       "</tr>\n",
       "<tr>\n",
       "<td style='text-align: right'>2009</td>\n",
       "<td>Joe Flacco</td>\n",
       "<td>1.31</td>\n",
       "<td style='text-align: right'>2</td>\n",
       "<td>meh</td>\n",
       "</tr>\n",
       "<tr>\n",
       "<td style='text-align: right'>2009</td>\n",
       "<td>Matt Schaub</td>\n",
       "<td>1.81</td>\n",
       "<td style='text-align: right'>3</td>\n",
       "<td>ok</td>\n",
       "</tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/plain": [
       "+------+-----------------+-----------------+------------+--------+\n",
       "| year | full_name       | avg_tds         | bucket_num | bucket |\n",
       "+======+=================+=================+============+========+\n",
       "| 2009 | 'Aaron Rodgers' | Decimal('1.88') |          3 | 'ok'   |\n",
       "+------+-----------------+-----------------+------------+--------+\n",
       "| 2009 | 'Carson Palmer' | Decimal('1.31') |          2 | 'meh'  |\n",
       "+------+-----------------+-----------------+------------+--------+\n",
       "| 2009 | 'Eli Manning'   | Decimal('1.69') |          3 | 'ok'   |\n",
       "+------+-----------------+-----------------+------------+--------+\n",
       "| 2009 | 'Joe Flacco'    | Decimal('1.31') |          2 | 'meh'  |\n",
       "+------+-----------------+-----------------+------------+--------+\n",
       "| 2009 | 'Matt Schaub'   | Decimal('1.81') |          3 | 'ok'   |\n",
       "+------+-----------------+-----------------+------------+--------+"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "buckets = {\n",
    "    1: 'bad',\n",
    "    2: 'meh',\n",
    "    3: 'ok',\n",
    "    4: 'good',\n",
    "    5: 'great',\n",
    "}\n",
    "\n",
    "# filter by 16-game seasons and bucket\n",
    "seasons = (\n",
    "    qb_agg\n",
    "    .selecteq('num_games', 16)\n",
    "    .cut(('year', 'full_name', 'avg_tds'))\n",
    "    .addfield('bucket_num', lambda r: int(float(r['avg_tds']) // 0.5))\n",
    "    .addfield('bucket', lambda r: buckets[r['bucket_num']])\n",
    ")\n",
    "seasons.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# pull game-level data for complete seasons"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table class='petl'>\n",
       "<thead>\n",
       "<tr>\n",
       "<th>year</th>\n",
       "<th>week</th>\n",
       "<th>full_name</th>\n",
       "<th>yards</th>\n",
       "<th>touchdowns</th>\n",
       "<th>interceptions</th>\n",
       "<th>attempts</th>\n",
       "<th>completions</th>\n",
       "</tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "<tr>\n",
       "<td style='text-align: right'>2009</td>\n",
       "<td style='text-align: right'>1</td>\n",
       "<td>Aaron Rodgers</td>\n",
       "<td style='text-align: right'>184</td>\n",
       "<td style='text-align: right'>1</td>\n",
       "<td style='text-align: right'>0</td>\n",
       "<td style='text-align: right'>28</td>\n",
       "<td style='text-align: right'>17</td>\n",
       "</tr>\n",
       "<tr>\n",
       "<td style='text-align: right'>2009</td>\n",
       "<td style='text-align: right'>1</td>\n",
       "<td>Ben Roethlisberger</td>\n",
       "<td style='text-align: right'>363</td>\n",
       "<td style='text-align: right'>1</td>\n",
       "<td style='text-align: right'>2</td>\n",
       "<td style='text-align: right'>43</td>\n",
       "<td style='text-align: right'>33</td>\n",
       "</tr>\n",
       "<tr>\n",
       "<td style='text-align: right'>2009</td>\n",
       "<td style='text-align: right'>1</td>\n",
       "<td>Carson Palmer</td>\n",
       "<td style='text-align: right'>247</td>\n",
       "<td style='text-align: right'>0</td>\n",
       "<td style='text-align: right'>2</td>\n",
       "<td style='text-align: right'>33</td>\n",
       "<td style='text-align: right'>21</td>\n",
       "</tr>\n",
       "<tr>\n",
       "<td style='text-align: right'>2009</td>\n",
       "<td style='text-align: right'>1</td>\n",
       "<td>Drew Brees</td>\n",
       "<td style='text-align: right'>358</td>\n",
       "<td style='text-align: right'>6</td>\n",
       "<td style='text-align: right'>1</td>\n",
       "<td style='text-align: right'>34</td>\n",
       "<td style='text-align: right'>26</td>\n",
       "</tr>\n",
       "<tr>\n",
       "<td style='text-align: right'>2009</td>\n",
       "<td style='text-align: right'>1</td>\n",
       "<td>Eli Manning</td>\n",
       "<td style='text-align: right'>256</td>\n",
       "<td style='text-align: right'>1</td>\n",
       "<td style='text-align: right'>1</td>\n",
       "<td style='text-align: right'>29</td>\n",
       "<td style='text-align: right'>20</td>\n",
       "</tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/plain": [
       "+------+------+----------------------+-------+------------+---------------+----------+-------------+\n",
       "| year | week | full_name            | yards | touchdowns | interceptions | attempts | completions |\n",
       "+======+======+======================+=======+============+===============+==========+=============+\n",
       "| 2009 |    1 | 'Aaron Rodgers'      |   184 |          1 |             0 |       28 |          17 |\n",
       "+------+------+----------------------+-------+------------+---------------+----------+-------------+\n",
       "| 2009 |    1 | 'Ben Roethlisberger' |   363 |          1 |             2 |       43 |          33 |\n",
       "+------+------+----------------------+-------+------------+---------------+----------+-------------+\n",
       "| 2009 |    1 | 'Carson Palmer'      |   247 |          0 |             2 |       33 |          21 |\n",
       "+------+------+----------------------+-------+------------+---------------+----------+-------------+\n",
       "| 2009 |    1 | 'Drew Brees'         |   358 |          6 |             1 |       34 |          26 |\n",
       "+------+------+----------------------+-------+------------+---------------+----------+-------------+\n",
       "| 2009 |    1 | 'Eli Manning'        |   256 |          1 |             1 |       29 |          20 |\n",
       "+------+------+----------------------+-------+------------+---------------+----------+-------------+"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# pull game-level data\n",
    "qb_games = petl.fromdb(conn, 'select * from lombardi.qb_stats')\n",
    "qb_games.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table class='petl'>\n",
       "<thead>\n",
       "<tr>\n",
       "<th>year</th>\n",
       "<th>full_name</th>\n",
       "<th>week</th>\n",
       "<th>tds</th>\n",
       "<th>season_avg_tds</th>\n",
       "<th>season_bucket</th>\n",
       "</tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "<tr>\n",
       "<td style='text-align: right'>2015</td>\n",
       "<td>Tom Brady</td>\n",
       "<td style='text-align: right'>13</td>\n",
       "<td style='text-align: right'>3</td>\n",
       "<td>2.25</td>\n",
       "<td>good</td>\n",
       "</tr>\n",
       "<tr>\n",
       "<td style='text-align: right'>2015</td>\n",
       "<td>Tom Brady</td>\n",
       "<td style='text-align: right'>14</td>\n",
       "<td style='text-align: right'>2</td>\n",
       "<td>2.25</td>\n",
       "<td>good</td>\n",
       "</tr>\n",
       "<tr>\n",
       "<td style='text-align: right'>2015</td>\n",
       "<td>Tom Brady</td>\n",
       "<td style='text-align: right'>15</td>\n",
       "<td style='text-align: right'>2</td>\n",
       "<td>2.25</td>\n",
       "<td>good</td>\n",
       "</tr>\n",
       "<tr>\n",
       "<td style='text-align: right'>2015</td>\n",
       "<td>Tom Brady</td>\n",
       "<td style='text-align: right'>16</td>\n",
       "<td style='text-align: right'>1</td>\n",
       "<td>2.25</td>\n",
       "<td>good</td>\n",
       "</tr>\n",
       "<tr>\n",
       "<td style='text-align: right'>2015</td>\n",
       "<td>Tom Brady</td>\n",
       "<td style='text-align: right'>17</td>\n",
       "<td style='text-align: right'>0</td>\n",
       "<td>2.25</td>\n",
       "<td>good</td>\n",
       "</tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/plain": [
       "+------+-------------+------+-----+-----------------+---------------+\n",
       "| year | full_name   | week | tds | season_avg_tds  | season_bucket |\n",
       "+======+=============+======+=====+=================+===============+\n",
       "| 2015 | 'Tom Brady' |   13 |   3 | Decimal('2.25') | 'good'        |\n",
       "+------+-------------+------+-----+-----------------+---------------+\n",
       "| 2015 | 'Tom Brady' |   14 |   2 | Decimal('2.25') | 'good'        |\n",
       "+------+-------------+------+-----+-----------------+---------------+\n",
       "| 2015 | 'Tom Brady' |   15 |   2 | Decimal('2.25') | 'good'        |\n",
       "+------+-------------+------+-----+-----------------+---------------+\n",
       "| 2015 | 'Tom Brady' |   16 |   1 | Decimal('2.25') | 'good'        |\n",
       "+------+-------------+------+-----+-----------------+---------------+\n",
       "| 2015 | 'Tom Brady' |   17 |   0 | Decimal('2.25') | 'good'        |\n",
       "+------+-------------+------+-----+-----------------+---------------+"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# join to complete seasons table to limit to just those seasons\n",
    "games = (\n",
    "    seasons\n",
    "    .join(qb_games, key=(('year', 'full_name')), lprefix='b_', rprefix='g_')\n",
    "    .cut(('b_year', 'b_full_name', 'g_week', 'g_touchdowns', 'b_avg_tds', 'b_bucket'))\n",
    "    .rename({\n",
    "        'b_year': 'year',\n",
    "        'b_full_name': 'full_name',\n",
    "        'g_week': 'week',\n",
    "        'g_touchdowns': 'tds',\n",
    "        'b_avg_tds': 'season_avg_tds',\n",
    "        'b_bucket': 'season_bucket',\n",
    "    })\n",
    ")\n",
    "games.tail()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# determine bucket / touchdown probabilities (likelihood)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# make a table of all combos of buckets and touchdowns\n",
    "# to use as reference\n",
    "bucket_td_combos = petl.fromdicts([\n",
    "    {'season_bucket': b, 'tds': t}\n",
    "    for b in set(games['season_bucket'])\n",
    "    for t in set(games['tds'])\n",
    "])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "+---------------+-----+-------+\n",
       "| season_bucket | tds | count |\n",
       "+===============+=====+=======+\n",
       "| 'bad'         |   0 |    21 |\n",
       "+---------------+-----+-------+\n",
       "| 'bad'         |   1 |    19 |\n",
       "+---------------+-----+-------+\n",
       "| 'bad'         |   2 |     6 |\n",
       "+---------------+-----+-------+\n",
       "| 'bad'         |   3 |     1 |\n",
       "+---------------+-----+-------+\n",
       "| 'bad'         |   4 |     1 |\n",
       "+---------------+-----+-------+\n",
       "..."
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bucket_tds = (\n",
    "    bucket_td_combos\n",
    "    .leftjoin(\n",
    "        games.aggregate(key=('season_bucket', 'tds'), aggregation=len), \n",
    "        key=('season_bucket', 'tds'), \n",
    "        missing=0,\n",
    "    )\n",
    "    .rename({'value': 'count'})\n",
    ")\n",
    "bucket_tds.look()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "+---------------+--------------+\n",
       "| season_bucket | bucket_total |\n",
       "+===============+==============+\n",
       "| 'bad'         |           48 |\n",
       "+---------------+--------------+\n",
       "| 'good'        |          320 |\n",
       "+---------------+--------------+\n",
       "| 'great'       |           64 |\n",
       "+---------------+--------------+\n",
       "| 'meh'         |          384 |\n",
       "+---------------+--------------+\n",
       "| 'ok'          |          624 |\n",
       "+---------------+--------------+"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "totals = bucket_tds.aggregate('season_bucket', sum, 'count').rename({'value': 'bucket_total'})\n",
    "totals.lookall()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "+---------+-----+-------+--------------+-------+\n",
       "| bucket  | tds | count | bucket_total | prob  |\n",
       "+=========+=====+=======+==============+=======+\n",
       "| 'bad'   |   0 |    21 |           48 | 0.438 |\n",
       "+---------+-----+-------+--------------+-------+\n",
       "| 'bad'   |   1 |    19 |           48 | 0.396 |\n",
       "+---------+-----+-------+--------------+-------+\n",
       "| 'bad'   |   2 |     6 |           48 | 0.125 |\n",
       "+---------+-----+-------+--------------+-------+\n",
       "| 'bad'   |   3 |     1 |           48 | 0.021 |\n",
       "+---------+-----+-------+--------------+-------+\n",
       "| 'bad'   |   4 |     1 |           48 | 0.021 |\n",
       "+---------+-----+-------+--------------+-------+\n",
       "| 'bad'   |   5 |     0 |           48 |   0.0 |\n",
       "+---------+-----+-------+--------------+-------+\n",
       "| 'bad'   |   6 |     0 |           48 |   0.0 |\n",
       "+---------+-----+-------+--------------+-------+\n",
       "| 'good'  |   0 |    20 |          320 | 0.062 |\n",
       "+---------+-----+-------+--------------+-------+\n",
       "| 'good'  |   1 |    83 |          320 | 0.259 |\n",
       "+---------+-----+-------+--------------+-------+\n",
       "| 'good'  |   2 |   102 |          320 | 0.319 |\n",
       "+---------+-----+-------+--------------+-------+\n",
       "| 'good'  |   3 |    69 |          320 | 0.216 |\n",
       "+---------+-----+-------+--------------+-------+\n",
       "| 'good'  |   4 |    32 |          320 |   0.1 |\n",
       "+---------+-----+-------+--------------+-------+\n",
       "| 'good'  |   5 |    11 |          320 | 0.034 |\n",
       "+---------+-----+-------+--------------+-------+\n",
       "| 'good'  |   6 |     3 |          320 | 0.009 |\n",
       "+---------+-----+-------+--------------+-------+\n",
       "| 'great' |   0 |     2 |           64 | 0.031 |\n",
       "+---------+-----+-------+--------------+-------+\n",
       "| 'great' |   1 |    11 |           64 | 0.172 |\n",
       "+---------+-----+-------+--------------+-------+\n",
       "| 'great' |   2 |    17 |           64 | 0.266 |\n",
       "+---------+-----+-------+--------------+-------+\n",
       "| 'great' |   3 |    17 |           64 | 0.266 |\n",
       "+---------+-----+-------+--------------+-------+\n",
       "| 'great' |   4 |    11 |           64 | 0.172 |\n",
       "+---------+-----+-------+--------------+-------+\n",
       "| 'great' |   5 |     6 |           64 | 0.094 |\n",
       "+---------+-----+-------+--------------+-------+\n",
       "| 'great' |   6 |     0 |           64 |   0.0 |\n",
       "+---------+-----+-------+--------------+-------+\n",
       "| 'meh'   |   0 |    90 |          384 | 0.234 |\n",
       "+---------+-----+-------+--------------+-------+\n",
       "| 'meh'   |   1 |   147 |          384 | 0.383 |\n",
       "+---------+-----+-------+--------------+-------+\n",
       "| 'meh'   |   2 |   109 |          384 | 0.284 |\n",
       "+---------+-----+-------+--------------+-------+\n",
       "| 'meh'   |   3 |    29 |          384 | 0.076 |\n",
       "+---------+-----+-------+--------------+-------+\n",
       "| 'meh'   |   4 |     6 |          384 | 0.016 |\n",
       "+---------+-----+-------+--------------+-------+\n",
       "| 'meh'   |   5 |     3 |          384 | 0.008 |\n",
       "+---------+-----+-------+--------------+-------+\n",
       "| 'meh'   |   6 |     0 |          384 |   0.0 |\n",
       "+---------+-----+-------+--------------+-------+\n",
       "| 'ok'    |   0 |    78 |          624 | 0.125 |\n",
       "+---------+-----+-------+--------------+-------+\n",
       "| 'ok'    |   1 |   211 |          624 | 0.338 |\n",
       "+---------+-----+-------+--------------+-------+\n",
       "| 'ok'    |   2 |   196 |          624 | 0.314 |\n",
       "+---------+-----+-------+--------------+-------+\n",
       "| 'ok'    |   3 |    99 |          624 | 0.159 |\n",
       "+---------+-----+-------+--------------+-------+\n",
       "| 'ok'    |   4 |    34 |          624 | 0.054 |\n",
       "+---------+-----+-------+--------------+-------+\n",
       "| 'ok'    |   5 |     3 |          624 | 0.005 |\n",
       "+---------+-----+-------+--------------+-------+\n",
       "| 'ok'    |   6 |     3 |          624 | 0.005 |\n",
       "+---------+-----+-------+--------------+-------+"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bucket_td_probs = (\n",
    "    bucket_tds\n",
    "    .join(totals, key='season_bucket')\n",
    "    .addfield('prob', lambda r: round(r['count'] / r['bucket_total'], 3))\n",
    "    .rename('season_bucket', 'bucket')\n",
    ")\n",
    "bucket_td_probs.lookall()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# spot-check probability distributions for bad / great buckets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x108d63630>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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zghAAAABAM4IQAAAAQDOCEAAAAEAzghAAAABAM4IQAAAAQDMrpj0AAIfBjq9PewIW0/oL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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10b38bb70>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# compare touchdown count probabilities for bad vs great\n",
    "plt.bar(\n",
    "    left=range(7),\n",
    "    height=list(bucket_td_probs.selecteq('bucket', 'bad')['prob']),\n",
    "    alpha=0.3,\n",
    "    label='bad',\n",
    ")\n",
    "plt.bar(\n",
    "    left=range(7),\n",
    "    height=list(bucket_td_probs.selecteq('bucket', 'great')['prob']),\n",
    "    alpha=0.3,\n",
    "    label='great',\n",
    ")\n",
    "plt.legend()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# get bucket probabilities (prior)\n",
    "\n",
    "I.e. how often players suck versus how often they're amazing."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "+---------+------------+-------+-------+\n",
       "| bucket  | bucket_num | count | prob  |\n",
       "+=========+============+=======+=======+\n",
       "| 'bad'   |          1 |     3 | 0.033 |\n",
       "+---------+------------+-------+-------+\n",
       "| 'meh'   |          2 |    24 | 0.264 |\n",
       "+---------+------------+-------+-------+\n",
       "| 'ok'    |          3 |    39 | 0.429 |\n",
       "+---------+------------+-------+-------+\n",
       "| 'good'  |          4 |    20 |  0.22 |\n",
       "+---------+------------+-------+-------+\n",
       "| 'great' |          5 |     4 | 0.044 |\n",
       "+---------+------------+-------+-------+"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "qb_season_count = len(seasons)\n",
    "\n",
    "bucket_dist = (\n",
    "    seasons\n",
    "    .aggregate(('bucket', 'bucket_num'), len)\n",
    "    .sort('bucket_num')\n",
    "    .rename('value', 'count')\n",
    "    .addfield('prob', lambda r: round(r['count']/qb_season_count, 3))\n",
    ")\n",
    "bucket_dist.lookall()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# remove extraneous fields in our probability tables"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table class='petl'>\n",
       "<thead>\n",
       "<tr>\n",
       "<th>bucket</th>\n",
       "<th>prob</th>\n",
       "</tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "<tr>\n",
       "<td>bad</td>\n",
       "<td style='text-align: right'>0.033</td>\n",
       "</tr>\n",
       "<tr>\n",
       "<td>meh</td>\n",
       "<td style='text-align: right'>0.264</td>\n",
       "</tr>\n",
       "<tr>\n",
       "<td>ok</td>\n",
       "<td style='text-align: right'>0.429</td>\n",
       "</tr>\n",
       "<tr>\n",
       "<td>good</td>\n",
       "<td style='text-align: right'>0.22</td>\n",
       "</tr>\n",
       "<tr>\n",
       "<td>great</td>\n",
       "<td style='text-align: right'>0.044</td>\n",
       "</tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/plain": [
       "+---------+-------+\n",
       "| bucket  | prob  |\n",
       "+=========+=======+\n",
       "| 'bad'   | 0.033 |\n",
       "+---------+-------+\n",
       "| 'meh'   | 0.264 |\n",
       "+---------+-------+\n",
       "| 'ok'    | 0.429 |\n",
       "+---------+-------+\n",
       "| 'good'  |  0.22 |\n",
       "+---------+-------+\n",
       "| 'great' | 0.044 |\n",
       "+---------+-------+"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# reduce tables to only the data we care about\n",
    "bucket_data = bucket_dist.cut(('bucket', 'prob'))\n",
    "bucket_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table class='petl'>\n",
       "<thead>\n",
       "<tr>\n",
       "<th>bucket</th>\n",
       "<th>tds</th>\n",
       "<th>prob</th>\n",
       "</tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "<tr>\n",
       "<td>bad</td>\n",
       "<td style='text-align: right'>0</td>\n",
       "<td style='text-align: right'>0.438</td>\n",
       "</tr>\n",
       "<tr>\n",
       "<td>bad</td>\n",
       "<td style='text-align: right'>1</td>\n",
       "<td style='text-align: right'>0.396</td>\n",
       "</tr>\n",
       "<tr>\n",
       "<td>bad</td>\n",
       "<td style='text-align: right'>2</td>\n",
       "<td style='text-align: right'>0.125</td>\n",
       "</tr>\n",
       "<tr>\n",
       "<td>bad</td>\n",
       "<td style='text-align: right'>3</td>\n",
       "<td style='text-align: right'>0.021</td>\n",
       "</tr>\n",
       "<tr>\n",
       "<td>bad</td>\n",
       "<td style='text-align: right'>4</td>\n",
       "<td style='text-align: right'>0.021</td>\n",
       "</tr>\n",
       "</tbody>\n",
       "</table>\n",
       "<p><strong>...</strong></p>"
      ],
      "text/plain": [
       "+--------+-----+-------+\n",
       "| bucket | tds | prob  |\n",
       "+========+=====+=======+\n",
       "| 'bad'  |   0 | 0.438 |\n",
       "+--------+-----+-------+\n",
       "| 'bad'  |   1 | 0.396 |\n",
       "+--------+-----+-------+\n",
       "| 'bad'  |   2 | 0.125 |\n",
       "+--------+-----+-------+\n",
       "| 'bad'  |   3 | 0.021 |\n",
       "+--------+-----+-------+\n",
       "| 'bad'  |   4 | 0.021 |\n",
       "+--------+-----+-------+\n",
       "..."
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bucket_td_data = bucket_td_probs.cut(('bucket', 'tds', 'prob'))\n",
    "bucket_td_data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Bayes Time 🎉"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from lombardi import bayes"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## format our tabular data so our module can consume it"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "bucket_probs_list = petl.dicts(bucket_data)\n",
    "bucket_td_probs_list = petl.dicts(bucket_td_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'bad': 0.033, 'good': 0.22, 'great': 0.044, 'meh': 0.264, 'ok': 0.429}"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bucket_probs_dict = {r['bucket']: r['prob'] for r in bucket_probs_list}\n",
    "bucket_probs_dict"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'bad': Pdf(probs={0: 0.438, 1: 0.396, 2: 0.125, 3: 0.021, 4: 0.021, 5: 0.0, 6: 0.0}),\n",
       " 'good': Pdf(probs={0: 0.062, 1: 0.259, 2: 0.319, 3: 0.216, 4: 0.1, 5: 0.034, 6: 0.009}),\n",
       " 'great': Pdf(probs={0: 0.031, 1: 0.172, 2: 0.266, 3: 0.266, 4: 0.172, 5: 0.094, 6: 0.0}),\n",
       " 'meh': Pdf(probs={0: 0.234, 1: 0.383, 2: 0.284, 3: 0.076, 4: 0.016, 5: 0.008, 6: 0.0}),\n",
       " 'ok': Pdf(probs={0: 0.125, 1: 0.338, 2: 0.314, 3: 0.159, 4: 0.054, 5: 0.005, 6: 0.005})}"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bucket_td_probs_dict = {r['bucket']: None for r in bucket_td_probs_list}\n",
    "for b in bucket_td_probs_dict.keys():\n",
    "    bucket_td_probs_dict[b] = bayes.Pdf({\n",
    "        r['tds']: r['prob']\n",
    "        for r in bucket_td_probs_list\n",
    "        if r['bucket'] == b\n",
    "    })\n",
    "bucket_td_probs_dict"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## create a discrete bayes object"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "dist = bayes.DiscreteBayes(\n",
    "    prior=bayes.Pdf(bucket_probs_dict),\n",
    "    likelihoods=dict(bucket_td_probs_dict),\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## check expected touchdowns per game for the average QB\n",
    "\n",
    "This uses our prior's buckets to generate a likelihood of touchdowns per game. Known as the **posterior predictive**."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Container object of 7 artists>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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Vz1p8qUMWjwm9MolvmmVbuvt/JXm8qv7SYtNPJfGFIZehvesegN2tu89W1R1J\nHkyyJ8l93f3wmsdil6uqf5fkbyW5qqpOJXlbd793vVOxy700yd9J8tnFO2aS5J9099E1zsTu9twk\n71t8K+gPJPlAd/uqc+BS8ueS/PrG35dkb5L3d/d/Wu9IXCb+fpJfWdwscDLJ313zPOyA6vbFHQAA\nAABs8BgaAAAAAEMsAgAAAGCIRQAAAAAMsQgAAACAIRYBAAAAMMQiAAAAAIZYBAAAAMAQiwAAAAAY\n/w9Yy7vLJHe08wAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10bc6eda0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# view expected tds per game given no information about a player\n",
    "plt.bar(range(7), list(dist.posterior_predictive().probs.values()))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## calculate expected value from posterior predictive\n",
    "\n",
    "This is basically the number that fantasy sites generate."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1.7113130617368986"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# expected value for tds / game with no evidence\n",
    "expected_value = sum(i*p for i,p in enumerate(dist.posterior_predictive().probs.values()))\n",
    "expected_value"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Example: Drew Brees in 2011\n",
    "\n",
    "We start not knowing anything about whether Drew Brees is good or bad. \n",
    "\n",
    "We'll run through each week's performance and update our model based on how many touchdowns he scored that week.\n",
    "\n",
    "Our model will adjust over time based on new information."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table class='petl'>\n",
       "<thead>\n",
       "<tr>\n",
       "<th>year</th>\n",
       "<th>full_name</th>\n",
       "<th>avg_tds</th>\n",
       "<th>bucket_num</th>\n",
       "<th>bucket</th>\n",
       "</tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "<tr>\n",
       "<td style='text-align: right'>2011</td>\n",
       "<td>Drew Brees</td>\n",
       "<td>2.88</td>\n",
       "<td style='text-align: right'>5</td>\n",
       "<td>great</td>\n",
       "</tr>\n",
       "<tr>\n",
       "<td style='text-align: right'>2011</td>\n",
       "<td>Matthew Stafford</td>\n",
       "<td>2.56</td>\n",
       "<td style='text-align: right'>5</td>\n",
       "<td>great</td>\n",
       "</tr>\n",
       "<tr>\n",
       "<td style='text-align: right'>2012</td>\n",
       "<td>Drew Brees</td>\n",
       "<td>2.69</td>\n",
       "<td style='text-align: right'>5</td>\n",
       "<td>great</td>\n",
       "</tr>\n",
       "<tr>\n",
       "<td style='text-align: right'>2014</td>\n",
       "<td>Andrew Luck</td>\n",
       "<td>2.50</td>\n",
       "<td style='text-align: right'>5</td>\n",
       "<td>great</td>\n",
       "</tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/plain": [
       "+------+--------------------+-----------------+------------+---------+\n",
       "| year | full_name          | avg_tds         | bucket_num | bucket  |\n",
       "+======+====================+=================+============+=========+\n",
       "| 2011 | 'Drew Brees'       | Decimal('2.88') |          5 | 'great' |\n",
       "+------+--------------------+-----------------+------------+---------+\n",
       "| 2011 | 'Matthew Stafford' | Decimal('2.56') |          5 | 'great' |\n",
       "+------+--------------------+-----------------+------------+---------+\n",
       "| 2012 | 'Drew Brees'       | Decimal('2.69') |          5 | 'great' |\n",
       "+------+--------------------+-----------------+------------+---------+\n",
       "| 2014 | 'Andrew Luck'      | Decimal('2.50') |          5 | 'great' |\n",
       "+------+--------------------+-----------------+------------+---------+"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# view all 'great' seasons for tds/game\n",
    "seasons.selecteq('bucket', 'great')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "+------+--------------+------+-----+-----------------+---------------+\n",
       "| year | full_name    | week | tds | season_avg_tds  | season_bucket |\n",
       "+======+==============+======+=====+=================+===============+\n",
       "| 2011 | 'Drew Brees' |    1 |   3 | Decimal('2.88') | 'great'       |\n",
       "+------+--------------+------+-----+-----------------+---------------+\n",
       "| 2011 | 'Drew Brees' |    2 |   3 | Decimal('2.88') | 'great'       |\n",
       "+------+--------------+------+-----+-----------------+---------------+\n",
       "| 2011 | 'Drew Brees' |    3 |   3 | Decimal('2.88') | 'great'       |\n",
       "+------+--------------+------+-----+-----------------+---------------+\n",
       "| 2011 | 'Drew Brees' |    4 |   1 | Decimal('2.88') | 'great'       |\n",
       "+------+--------------+------+-----+-----------------+---------------+\n",
       "| 2011 | 'Drew Brees' |    5 |   2 | Decimal('2.88') | 'great'       |\n",
       "+------+--------------+------+-----+-----------------+---------------+\n",
       "| 2011 | 'Drew Brees' |    6 |   1 | Decimal('2.88') | 'great'       |\n",
       "+------+--------------+------+-----+-----------------+---------------+\n",
       "| 2011 | 'Drew Brees' |    7 |   5 | Decimal('2.88') | 'great'       |\n",
       "+------+--------------+------+-----+-----------------+---------------+\n",
       "| 2011 | 'Drew Brees' |    8 |   1 | Decimal('2.88') | 'great'       |\n",
       "+------+--------------+------+-----+-----------------+---------------+\n",
       "| 2011 | 'Drew Brees' |    9 |   2 | Decimal('2.88') | 'great'       |\n",
       "+------+--------------+------+-----+-----------------+---------------+\n",
       "| 2011 | 'Drew Brees' |   10 |   2 | Decimal('2.88') | 'great'       |\n",
       "+------+--------------+------+-----+-----------------+---------------+\n",
       "| 2011 | 'Drew Brees' |   12 |   4 | Decimal('2.88') | 'great'       |\n",
       "+------+--------------+------+-----+-----------------+---------------+\n",
       "| 2011 | 'Drew Brees' |   13 |   3 | Decimal('2.88') | 'great'       |\n",
       "+------+--------------+------+-----+-----------------+---------------+\n",
       "| 2011 | 'Drew Brees' |   14 |   2 | Decimal('2.88') | 'great'       |\n",
       "+------+--------------+------+-----+-----------------+---------------+\n",
       "| 2011 | 'Drew Brees' |   15 |   5 | Decimal('2.88') | 'great'       |\n",
       "+------+--------------+------+-----+-----------------+---------------+\n",
       "| 2011 | 'Drew Brees' |   16 |   4 | Decimal('2.88') | 'great'       |\n",
       "+------+--------------+------+-----+-----------------+---------------+\n",
       "| 2011 | 'Drew Brees' |   17 |   5 | Decimal('2.88') | 'great'       |\n",
       "+------+--------------+------+-----+-----------------+---------------+"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# get all games for drew brees in 2011\n",
    "drew_brees_2011 = (\n",
    "    games\n",
    "    .selecteq('full_name', 'Drew Brees')\n",
    "    .selecteq('year', 2011)\n",
    ")\n",
    "drew_brees_2011.lookall()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[3, 3, 3, 1, 2, 1, 5, 1, 2, 2, 4, 3, 2, 5, 4, 5]"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "db_tds = list(drew_brees_2011['tds'])\n",
    "db_tds"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### run bayesian analysis and store results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "results = []\n",
    "\n",
    "# pre-season\n",
    "results.append({\n",
    "    'prior': dict(dist.prior.probs),\n",
    "    'posterior_predictive': list(dist.posterior_predictive().probs.values()),\n",
    "})\n",
    "\n",
    "# track bayesian results week by week\n",
    "for num_tds in db_tds:\n",
    "    # given number of tds this week, update our prior\n",
    "    dist.update_prior(num_tds)\n",
    "    # store results\n",
    "    results.append({\n",
    "        'prior': dict(dist.prior.probs),\n",
    "        'posterior_predictive': list(dist.posterior_predictive().probs.values()),\n",
    "    })"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Results!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'posterior_predictive': [0.1463043405805957,\n",
       "  0.32696003821755115,\n",
       "  0.2986412771772338,\n",
       "  0.1496705958160669,\n",
       "  0.05822621679572496,\n",
       "  0.016031373943184723,\n",
       "  0.0041661574696425984],\n",
       " 'prior': {'bad': 0.033,\n",
       "  'good': 0.22,\n",
       "  'great': 0.044,\n",
       "  'meh': 0.264,\n",
       "  'ok': 0.429}}"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# pre-season\n",
    "results[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'posterior_predictive': [0.03710933580067695,\n",
       "  0.18907188934718377,\n",
       "  0.2762906857674349,\n",
       "  0.2559650723867673,\n",
       "  0.15768558257417928,\n",
       "  0.08210331889650319,\n",
       "  0.0017741152272545775],\n",
       " 'prior': {'bad': 0.0,\n",
       "  'good': 0.19712195852262965,\n",
       "  'great': 0.8026572065891497,\n",
       "  'meh': 2.4560457299812754e-06,\n",
       "  'ok': 0.00021837884249063024}}"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# after season end\n",
    "results[-1]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### TD / game likelihood over time\n",
    "\n",
    "This is a noisy graph, but it shows a clear fattening / movement to the right which means DB is more likely to rack up more points (as expected)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x10bd352b0>"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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SyjbVBCikKlpIt1A+2EKNVkMRGkJdnWw4NRv3sgp+FYC259dy652T0LmOneorIYQQQggh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p/jkZD6TOrky8bTdzgWk/VXLwca94bH90OF9l7C6O51i4bJVArcprZA1diJgm9ume2U5Wbt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zmJ1gJV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\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UFV24EUt6GeZ9edjMDWiDDUiq3//zFgThxiaCRTeYuqRian7Mx3V8KJoOzixPXc6WrC38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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10bd35390>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for i,r in enumerate(results):\n",
    "    plt.plot(range(7), r['posterior_predictive'], label=i)\n",
    "plt.legend()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['bad', 'meh', 'ok', 'good', 'great']"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bucket_order = list(buckets.values())\n",
    "bucket_order"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{1: 0.033, 2: 0.264, 3: 0.429, 4: 0.22, 5: 0.044}"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "{k: results[0]['prior'][v] for k,v in buckets.items()}"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### how DB is bucketed over time\n",
    "\n",
    "Another noisy graph, but pay attention to the blue line representing week 0 and the pink line that shoots up to the far right, representing the results after the last game of the season when he finished with 5 TDs.\n",
    "\n",
    "The x-axis here is indicative of the scale from 'bad' to 'great'. Up and to the right is better."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x10c12da90>"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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DPcTL6jjyO50yJiIiIiIiTV7h98soXPw1oXeOx7NtWzzbtqV8124OvvYaHu3a0vzWW62O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LSjH1N6BOJqc+8JQ/Xp5ZSsvIB1dy/sHwxs6XKaTtYJ+P5lKEoF/24wYAG4RdzVErQlGkrX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qtKFWLl5MwZTXOfhgb94N28d3N39H97CLzt3qFSEEf/6QRtqOAkY+0ZH4juda2i6X0mwt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\nKBASERERERERESmY/we1GYyn7a5orQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10c12dcc0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for i,r in enumerate(results):\n",
    "    ordered_prior = {k: r['prior'][v] for k,v in buckets.items()}\n",
    "    plt.plot(list(ordered_prior.keys()), list(ordered_prior.values()), label=i)\n",
    "plt.legend()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### expected values over time\n",
    "\n",
    "This is what Drew Brees's expected TDs / game looks like as the season progresses. Less movement than I anticipated."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "expected_values = [\n",
    "    sum(i*x for i,x in enumerate(r['posterior_predictive']))\n",
    "    for r in results\n",
    "]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(0, 3)"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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j1fn+a7qyeM6MyV4mAAAAEEGIN2B4ZDTf3HYo927uzlc278/BY4Np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\neVOSb9zMeAAAAABs2m6C0L1JLq2qS6r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      "text/plain": [
       "<matplotlib.figure.Figure at 0x10c5b0550>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(expected_values)\n",
    "axes = plt.gca()\n",
    "axes.set_ylim((0,3))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### TDs / game distributions at beginning and end of season\n",
    "\n",
    "This graph is more informative than the ones above, which shows clearly that by the end of the season our model has figured out that Drew Brees was a phenom that year and consequently assigned way greater probabilities to him having huge games than it did at the start of the season. It works!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x10cbf7a90>"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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AgE4sAgAAAKATiwAAAADoxCIAAAAAOrEIAAAAgE4sAgAAAKATiwAAAADoxCIA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\nIgAAAAAGZREAAAAAg7IIAAAAgOEXjedKKasycwEAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10c5fc588>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.bar(range(7), results[0]['posterior_predictive'], alpha=0.3, label='pre-season')\n",
    "plt.bar(range(7), results[-1]['posterior_predictive'], alpha=0.3, label='end of season')\n",
    "plt.legend()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1.5375985837744448"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "deltas = [ev-actual for ev, actual in zip(expected_values, db_tds)]\n",
    "sq_deltas = [pow(d,2) for d in deltas]\n",
    "avg_delta = sum(sq_deltas) / len(sq_deltas)\n",
    "rmse = math.sqrt(avg_delta)\n",
    "rmse"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Geno's turn\n",
    "\n",
    "More compact code block. Graphs below show clear degradation into the pit of QB despair."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# get all games for geno smith in 2013\n",
    "geno_smith_2013 = (\n",
    "    games\n",
    "    .selecteq('full_name', 'Geno Smith')\n",
    "    .selecteq('year', 2013)\n",
    ")\n",
    "\n",
    "# get list of just his TDs\n",
    "geno_tds = list(geno_smith_2013['tds'])\n",
    "\n",
    "# run analysis week by week\n",
    "results = []\n",
    "\n",
    "# create discrete bayes object for running analysis\n",
    "dist = bayes.DiscreteBayes(\n",
    "    prior=bayes.Pdf(bucket_probs_dict),\n",
    "    likelihoods=dict(bucket_td_probs_dict),\n",
    ")\n",
    "\n",
    "# pre-season\n",
    "results.append({\n",
    "    'prior': dict(dist.prior.probs),\n",
    "    'posterior_predictive': list(dist.posterior_predictive().probs.values()),\n",
    "})\n",
    "\n",
    "# track bayesian results week by week\n",
    "for num_tds in geno_tds:\n",
    "    # given number of tds this week, update our prior\n",
    "    dist.update_prior(num_tds)\n",
    "    # store results\n",
    "    results.append({\n",
    "        'prior': dict(dist.prior.probs),\n",
    "        'posterior_predictive': list(dist.posterior_predictive().probs.values()),\n",
    "    })"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### pre/post season TD/game distributions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x10d4114a8>"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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ATiwCAAAAoBOLAAAAAOjEIgAAAAA6sQgAAACATiwCAAAAoBOLAAAAAOjEIgAA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\npLF/AHsfO9WwjVDoAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10d0a8e10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.bar(range(7), results[0]['posterior_predictive'], alpha=0.3, label='pre-season')\n",
    "plt.bar(range(7), results[-1]['posterior_predictive'], alpha=0.3, label='end of season')\n",
    "plt.legend()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### expected TDs/game over time"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(0, 3)"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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a9+5Lsq0sy+OfdZ8gBADcCtOz83nzo1N5/YPaEfdvfnQ6s/NlWhob8oU1fQtH\n3G8d7U2TE8wAgHvM7ZwhtCLJ0bIsy6Ionkry75KsKa/ziQUhAOB2OHthNn+x72Ref/94Xnv/RN47\nMpEk6WptylPr+vPMA8vz7PqBPDjc7QQzAOCut2injBVF8btJvpJkoCiKg0n+SZLmJCnL8jeS/FKS\nv1sUxWyS80l++XoxCADgdulsbcrPPjiUn31wKEly8ux0vlefPfT6Byfyyq6xJMnyzpb6BtUDefaB\ngaxe3rGUwwYAuKVuaIbQrWCGEABwJzh0+nxef78Wh157/3jGJi8kSUaXtdeXly3P0w8sz1C3E8wA\ngDvfoi4ZuxUEIQDgTlOWZT44diavvV+bQfS9D05kYmo2SbJmeUe2renPk2uXZdvaZXlgsCtFYYkZ\nAHBnEYQAAG7S3HyZdw+P5/sfnsj2faeyff+pnDw7nSRZ1tGcJ9b0Z9vaZXly7bJsHulNa5NTzACA\npbVoewgBAFRVY0ORR0f78uhoX772l2oziPYeP5vt+07lh/tO5o39p/KtnUeTJC1NDdk62ptta2uz\niJ5Y3Z/ejuYl/g4AAK7NDCEAgJtw/MyFbN93Km/sP5kf7juVdw6NZ3a+9vPVxuGubFvbn21rluXJ\ntf0ZXdZumRkAcEtZMgYAsATOT89lx8HT2b6vFoh+tP9UJi/U9iEa7mnNtvoys21r+rPpvu40NTYs\n8YgBgHuJJWMAAEugvaUxX7x/eb54//IktX2Idh+dzPZ9J7N9/6ls33cqf/T2kSRJR0tjvrB62UIg\nenx1Xzpb/XgGANx6ZggBANxmh0+fr8eh2iyiXR9PpCxrexY9fF9PnqgvMdu2dlmGexx3DwDcOEvG\nAADuEhNTM3nzo9oys+37TuXNA6cyNTOfJFnV354n1/TX9iJauyzrB7vS0GAfIgDg2iwZAwC4S/S0\nNefLGwfz5Y2DSZKZufm8d3giP6wHou/sOZ5vvnkoSdLb3pxta5blibW1WURbRnrT1uy4ewDg8xGE\nAADuMM2NDdm6qi9bV/Xlv/1S7bj7/SfOLRx1/8N9J/PyrrEkSUtjQ7aM9i7sQ7RtzbIs62xZ4u8A\nALjTWTIGAHAXOnl2Om8s7EN0Mm8fGs/MXO3nuvVDXdm2Zlm2re3Pk2uXZXV/h+PuAaAi7CEEAFAh\nUzNzeevg+MIsou37TmZiqnbc/UBXa55cWwtE29Ysy8Mre9LsuHsAuCfZQwgAoELamhvz1Lr+PLWu\nP0kyP1+IPvr6AAAdTElEQVRmz9iZbN9f24foh/tO5k/e+ThJ0t7cmMdX9y3MInp8dV+625qXcvgA\nwG1mhhAAQEV8PD61EIi27z+Z9w5PZL5MGorkoRU9l2YRrV2W+3rbl3q4AMBPwZIxAAA+05kLs3nz\no1MLgejNj07n3PRckmSkrz1Prl2WJ9b25/FVfdk43J2WJsvMAOBOZ8kYAACfqau1KV/aMJgvbagd\ndz87N5+dRyZrx93vP5nXPjiRP/jx4SRJS1NDNt3Xk0dHevPoaG+2rurLA4NdaWywWTUA3I3MEAIA\n4JrKsszBU+ez4+DpvHVwPG8dPJ13Dk3kzIXaZtUdLY3ZvLI3W0ZrkejR0b6sXe5EMwBYSmYIAQBw\nU4qiyKr+jqzq78gvPLoySW2z6g+Pn81bl0Wi/+P7+3Nhdj5J0tPWlEdH+7JltDdbR3uzZbQvK3vb\nRCIAuMMIQgAA3LCGhiLrh7qyfqgrf+0Lo0mSmbn57Dl6Jm8dPJ0dB8fz9qHT+Vff+TCz87WZ6ANd\nLdkyUptBtHVVb7aM9GWwu3Upvw0AqDxBCACAm9Lc2JCHV/bk4ZU9+eWnatemZuay6+PJK2YS/dnu\nY7m4W8HK3rb6UrO+2nKzkb70djQv3TcBABUjCAEAsOjamhvz2Kq+PLaqb+Ha2QuzeffwxBWR6D++\ne3Th9bXLO7JltK+21GykN5tHetPZ6sdVALgV/D8sAAC3RWdrU55a15+n1vUvXBs/N5O3D41nx8HT\nefvgeN7YdzL/fkftZLOGIlk/1JUtIxeXmvVm0309aWtuXKpvAQDuGYIQAABLprejOc9tGMhzGwYW\nrh2bvJC3D53OjgPjefvQeP5891h+/0cHkyRNDUUeXNFd249otHbC2cbh7jQ3NizVtwAAdyXHzgMA\ncEcryzJHxqcubVpdX242MTWbJGltqu1htHW0L1tGerN1VW/uH+hKQ4OTzQConhs9dl4QAgDgrlOW\nZfafOJcd9f2I3j44nncOj+fc9FySpLOlMZtHerN1VT0SjfZlVX97ikIkAuDedqNByJIxAADuOkVR\nZO1AZ9YOdOYXHxtJkszNl/ng2JnsOHC6vi/ReH7rtX2ZnptPkvR1NC/EoS2jtffDPa0iEQCVZIYQ\nAAD3rOnZ+ew+OrmwafWOg+PZfXQyc/O1n4EHu1vrp5r15dFVvXl0pDfLu1qXeNQA8NMzQwgAgMpr\naWrI5voR9vmZ2rXz03N578hE3lqIRKfz8q6xXPzvpCN97fVTzfry6GhvHlnZk76OlqX7JgDgFhCE\nAAColPaWxjyxZlmeWLNs4drk1EzeOVSLRG8dqm1a/cdvf7zw+uiy9myph6VHVvbkkZW9Gew2kwiA\nu5cgBABA5XW3NefpB5bn6QeWL1w7eXY67x4ezzuHJvLO4fG8e2g8f/LOpUi0oqctm0dqcag2C6kn\nK3ra7EkEwF1BEAIAgGvo72zJlzYM5ksbBheuTUzN5L3DE3nn0Hjerb9/ZddY6lsSZXlnSx4Z6c3m\nlT21SLSy1+lmANyRBCEAALhBPW3N+eL9y/PF+y/NJDo3PZudRybrs4lqM4p+8zsfZrZeibrbmrJ5\nZW0GUW3JWW/WDXSmsUEkAmDpCEIAAHATOlqaPrEn0YXZuez++EzeuRiJDk/kG9/bn+nZ+frHNObh\n+3oW9iTaPNKb9UNdaW5sWKpvA4CKEYQAAGCRtTY1Zstob7aM9i5cm5mbzwfHztT2JDo0nncPj+f3\nth/Iuem5JLUT0Tat6K4vOavNKNo43J225sal+jYAuIcV5cXzNW+zbdu2ldu3b1+Srw0AAHeCufky\n+06cvWJPoncOjWdiajZJ0tRQZMNw96U9iUZ6sum+nnS0+O+6AFxbURRvlGW57br3CUIAAHDnKMsy\nB0+dry81G1+YUXTi7HSSpKFI7h/sWohEj6zszSMjPelpa17ikQNwJ7jRIOQ/LQAAwB2kKIqs6u/I\nqv6O/PyW+5LUItHRiQt559B43q4vN/v+hyfzBz8+vPBxa5Z3ZHM9Dm2ph6L+zpal+jYAuMMJQgAA\ncIcriiIretuyorctLzw8vHD92OSFvHv40nKztw6dzh+9fWTh9ZG+9oVNqzeP9GTzyt4M9bQtxbcA\nwB1GEAIAgLvUYHdrvvLgUL7y4NDCtfFzM3n38GXLzQ6P5093Hs3FnSIGu1uvWG62eaQnI33tKYpi\nib4LAJaCIAQAAPeQ3o7mPLN+IM+sH1i4dubCbHYeubhp9UTePTye7+w5nrn5WiXq62heWG5WO+Gs\nN2v6O9LQIBIB3KsEIQAAuMd1tTblybX9eXJt/8K1qZm57Pp4sn7CWS0U/etX92V6bn7hY7aM9ObR\nVb15bLQvj67qy8reNjOJAO4RghAAAFRQW3NjHlvVl8dW9S1cm56dz56xybx7aCJvHxrPWwdP5+uv\n7s3MXG0m0UBXa7aO9mbrqr48OtqbraN9WWbjaoC7kiAEAAAkSVqaGmrH2K/szX/95KokyYXZuew6\nMpkdB09nx4Hx7Dh4Oq/8ZGxhT6LV/R15dLQ3j63qy6Ojfdk80pOOFr9mwN1k/NxM3jk8nqmZuWwY\n6s7osnZLRivAv6kBAIBP1drUmK2r+rJ1VV/ydO3a5NRMfQZRbRbRmx+dzn94q3a6WUORbBzuztbR\nvjy6qjaL6MEV3WlubFjC7wK4aGJqJu8cGs/bB8fz9qHa2/4T5664p725MeuHurJhuCsbh7uzcbgr\nG4a6M9InFN1LivJi2r/Ntm3bVm7fvn1JvjYAALC4jk1eyFsHT2fHwfHsOHA6bx08nVPnZpIkrU0N\neXhlT7aO9mVrPRKtXd7pF0u4xSanZvLu4dqG8m/VA9De42cXXh9d1p4tI73ZMtqbR0f60t7SkD1H\nz+QnRyez5+iZ7D46mbHJCwv3d7Y0Zv1wdzYO1ULRxWB0n/3F7ihFUbxRluW2694nCAEAAIutLMsc\nOHm+vtTs9MIvo+dn5pIk3W1NtVlEo715dLS2l9GK3rYlHjXcvc5emM27h2v7f7198HTeqsefi7/y\nr+xtq4Wf0b5sHunNlpHe9N/AHmDj52aye2wyuy+LRLuPTub4memFe7pbm7J+uCsbh7qzcUVtRtHG\n4e4MdbcKRUtAEAIAAO4os3Pzef/Ymew4UJtJ9NbB09l1ZDKz87XfSYa6W2vL0y5uXD3Sl96O5iUe\nNdx5zk/P5b0j9Vk/9dj6/rEzC/FnRU8t/lyc/bNlpDcDXa2LOoaTZ6frkWgyu+uhaM/YmZw8eykU\n9bQ11WcS1SLRg/XHA10tQtEtJAgBAAB3vKmZubx3ZGJhFtGOA6fz4WVLWtYNdC6caLZ1VW3D67bm\nxiUcMdxeF/+OLOz5c3A8e8YmU++oGexuzaMXl32N9mbzSG+Gupdutt3xMxdqs4g+nszusTMLwWj8\n/MzCPcs6mhci0cbh7mwYqj1evsjRqqoEIQAA4K40fn4mbx8cv2K52ccTU0mSxoYiDw53L+xF9Oho\nXzYOd6XJptXcA6Zm5rLr48m8ffD0wsbte8bOZK5efwa6WuqzfvqyZaQWgIZ77vyllmVZ5tjkhctm\nEk3mJx/XlqBNXphduG95Z8ulTayHuxce93Vcf2kblwhCAADAPePoxNSlWUT1UDQxVftFsq25IZtX\n1peZjfbmsVV9Wd3fYUkKd7QLs3P5yceTC7N+3jo4nt1HLy2h7O+sx5/LZv+s6Lm3Nm8uyzIfT0xl\n99GLM4kmFx6fnZ5buG+wu3XhpLMHV1wKRj1tlpReiyAEAADcs8qyzL4T5/LWwdP5cT0UvXNoPBdm\n55MkfR3N2TJSi0OP1pebLeUyGqptenY+u49OLsz6eefQeHZ9PJGZudrv4xf/eb0462fzSG9G+trv\nqfjzeZRlmcPjU7VlZxcj0VhtRtHFjemT2l5JF086uxiJNgx1pbvioUgQAgAAKmVmrvZL944D4wuh\n6PLlNvf1ttWWma3qzWOjfdk82muGAYtuZm4+e46eyduHTi/M/tl5ZDLTc7VY2dPWVN/o+dKyr9Fl\n1Y0/n8f8fJlDp89fMZPoJ0cn8/7YmYUYnCQjfe0LoWjDUP39cFc6WpqWcPS3jyAEAABU3vnpubx7\neHxhFtGOg6ez/8S5hdcfGOys70VUW3K26b4em1Zzwy6enHdx1s9bB8ez88jEQpzobm2qHfE+emn2\nj+WMi29uvsyBk+cWTjq7GIw+OHYm05eFotFl7Qtx6MH6HkUPDHalveXe+jsvCAEAAFzDqbPTeevQ\neN46cDo7Dp7Ojw+M5/iZC0mS5sYiD67oznB3WxobijQ3NqSxoUhTY5GmhiKNDQ1pbiyufK2hSFND\nw2X3XPVaY0P9/aV7Gxs/+XFNDQ31jy2u8bWveq2hIQ0NosLtNDdf5oNjZxZO+3rr4Om8d2QiUzO1\n4NDZ0phHRnoXTvzaMtKbtcs7/e+0hGbn5rP/5LmFk852H60tO/vw+JmF5XpFkazu78iGoe789199\nMBuHu5d41DfvRoNQNeZLAQAA1C3rbMmXNw7myxsHk9T2KzkyPlVfZjaetw+dzscTU5mbLzMzN5+5\n+TKz82Vm5+rv5+czd9nji79Y3m5FkTQ3XB6ergxWV8eoxoaGNNeD1cXI1HT542t83Kc9v/rrNF4V\nxK4OZNd6fnnguhjJmhuufN7UcOljbuesmvn5Mh8eP5u3D13an+rdwxM5V9/ouL25MZtHevK3nlqT\nLaM92TLSl/sHxJ87TVNjQx4Y7MoDg1356uZL12fm5rP/xNnsPnqmdtrZWC0YNVRs5pYZQgAAADdp\nrh6HLkajufkys3Pzl4Wk+Xpgqr02s/D8yuA0Vw9Ml67NX/H+yjj1yddm6p/j8nFc/Boz89f+/J8W\nvubm5y8bV+3rzS/Nr49JksaLs68WolbDpeeXzaK6PIBdmrF1I8+LlGWyZ+xM3j00vnDKVVtzQx5Z\n2XvFps/3D3alUfzhDmWGEAAAwG1SixWNab3Hf8Oan78seM1fHZFu/PncZUFr7qrANXdZhJq5bDbW\ntZ5fHrWuDmCXP78wM5/Z+bnrfsxcWWbt8s78V0+MLhz3vn6wK02NDUv9Rw+L7h7/1xUAAACLpaGh\nSMvCzJh7ayNeqBqZEwAAAKBiBCEAAACAihGEAAAAACpGEAIAAACoGEEIAAAAoGIEIQAAAICKEYQA\nAAAAKkYQAgAAAKgYQQgAAACgYgQhAAAAgIoRhAAAAAAqRhACAAAAqBhBCAAAAKBiBCEAAACAihGE\nAAAAACpGEAIAAACoGEEIAAAAoGIEIQAAAICKEYQAAAAAKkYQAgAAAKgYQQgAAACgYgQhAAAAgIoR\nhAAAAAAqRhACAAAAqJjrBqGiKL5eFMVYURTvfMrrRVEU/7woiveLonirKIovLP4wAQAAAFgsNzJD\n6LeSfPUzXv/5JBvqb19L8i9vflgAAAAA3CrXDUJlWX4nycnPuOUXk/x2WfP9JH1FUdy3WAMEAAAA\nYHEtxh5CI0kOXPb8YP3aJxRF8bWiKLYXRbH92LFji/ClAQAAAPi8buum0mVZ/mZZltvKstw2ODh4\nO780AAAAAHWLEYQOJVl12fPR+jUAAAAA7kCLEYT+MMmv1E8b+2KS8bIsjyzC5wUAAADgFmi63g1F\nUfxukq8kGSiK4mCSf5KkOUnKsvyNJH+c5K8meT/JuSS/dqsGCwAAAMDNu24QKsvyb17n9TLJ31u0\nEQEAAABwS93WTaUBAAAAWHqCEAAAAEDFCEIAAAAAFSMIAQAAAFSMIAQAAABQMYIQAAAAQMUIQgAA\nAAAVIwgBAAAAVIwgBAAAAFAxghAAAABAxQhCAAAAABUjCAEAAABUjCAEAAAAUDGCEAAAAEDFCEIA\nAAAAFSMIAQAAAFSMIAQAAABQMYIQAAAAQMUIQgAAAAAVIwgBAAAAVIwgBAAAAFAxghAAAABAxQhC\nAAAAABUjCAEAAABUjCAEAAAAUDGCEAAAAEDFCEIAAAAAFSMIAQAAAFSMIAQAAABQMYIQAAAAQMUI\nQgAAAAAVIwgBAAAAVIwgBAAAAFAxghAAAABAxQhCAAAAABUjCAEAAABUjCAEAAAAUDGCEAAAAEDF\nCEIAAAAAFSMIAQAAAFSMIAQAAABQMYIQAAAAQMUIQgAAAAAVIwgBAAAAVIwgBAAAAFAxghAAAABA\nxQhCAAAAABUjCAEAAABUjCAEAAAAUDGCEAAAAEDFCEIAAAAAFSMIAQAAAFSMIAQAAABQMYIQAAAA\nQMUIQgAAAAAVIwgBAAAAVIwgBAAAAFAxghAAAABAxQhCAAAAABUjCAEAAABUjCAEAAAAUDGCEAAA\nAEDFCEIAAAAAFSMIAQAAAFSMIAQAAABQMYIQAAAAQMUIQgAAAAAVIwgBAADA/9/e/cbqeZd1AP9e\naZ04NCAyEdvGThyYSkCwTpRoghNThKwk+AKiZouYJcYBGqIZmviCF2b+iWjiolnG3KILg9Sp1UTH\nAkTf6FyZMOjmpJlmax2ugOK/hNl4+eK51ZNDmx6757lvPb/PJzk5z/08v/T5nlznnNz9nvsPDEYh\nBAAAADAYhRAAAADAYBRCAAAAAINRCAEAAAAMRiEEAAAAMBiFEAAAAMBgFEIAAAAAg1EIAQAAAAxG\nIQQAAAAwGIUQAAAAwGAUQgAAAACDUQgBAAAADEYhBAAAADCYHRVCVXWkqh6tqlNVddN5Xr++qs5W\n1cemjx9Zf1QAAAAA1mHvxRZU1Z4ktyR5bZLTSR6oquPd/fC2pe/v7hs3kBEAAACANdrJEUJXJznV\n3Y9199NJ7k5ydLOxAAAAANiUnRRC+5I8sWX79PTcdm+qqoeq6lhVHTjfP1RVN1TViao6cfbs2UuI\nCwAAAMAzta6LSv9BkoPd/bIk9yW583yLuvvW7j7c3YevuOKKNb01AAAAAP8bOymEziTZesTP/um5\n/9bdn+3uL0ybtyX5lvXEAwAAAGDddlIIPZDkqqq6sqouS/LmJMe3LqiqF27ZvDbJI+uLCAAAAMA6\nXfQuY919rqpuTHJvkj1Jbu/uk1X17iQnuvt4krdX1bVJziX5XJLrN5gZAAAAgGegunuRNz58+HCf\nOHFikfcGAAAA2I2q6qPdffhi69Z1UWkAAAAA/p9QCAEAAAAMRiEEAAAAMBiFEAAAAMBgFEIAAAAA\ng1EIAQAAAAxGIQQAAAAwGIUQAAAAwGAUQgAAAACDUQgBAAAADEYhBAAAADAYhRAAAADAYBRCAAAA\nAINRCAEAAAAMRiEEAAAAMBiFEAAAAMBgFEIAAAAAg1EIAQAAAAxGIQQAAAAwGIUQAAAAwGAUQgAA\nAACDUQgBAAAADEYhBAAAADAYhRAAAADAYBRCAAAAAINRCAEAAAAMRiEEAAAAMBiFEAAAAMBgFEIA\nAAAAg1EIAQAAAAxGIQQAAAAwGIUQAAAAwGAUQgAAAACDUQgBAAAADEYhBAAAADAYhRAAAADAYBRC\nAAAAAINRCAEAAAAMRiEEAAAAMBiFEAAAAMBgFEIAAAAAg1EIAQAAAAxGIQQAAAAwGIUQAAAAwGAU\nQgAAAACDUQgBAAAADEYhBAAAADAYhRAAAADAYBRCAAAAAINRCAEAAAAMRiEEAAAAMBiFEAAAAMBg\nFEIAAAAAg1EIAQAAAAxGIQQAAAAwGIUQAAAAwGAUQgAAAACDUQgBAAAADEYhBAAAADAYhRAAAADA\nYBRCAAAAAINRCAEAAAAMRiEEAAAAMBiFEAAAAMBgFEIAAAAAg1EIAQAAAAxGIQQAAAAwGIUQAAAA\nwGAUQgAAAACDUQgBAAAADEYhBAAAADAYhRAAAADAYBRCAAAAAINRCAEAAAAMRiEEAAAAMBiFEAAA\nAMBgFEIAAAAAg1EIAQAAAAxGIQQAAAAwGIUQAAAAwGAUQgAAAACDUQgBAAAADGZHhVBVHamqR6vq\nVFXddJ7Xv7Sq3j+9fn9VHVx3UAAAAADW46KFUFXtSXJLktclOZTkLVV1aNuytyb5h+7+hiTvSfLz\n6w4KAAAAwHrs5Aihq5Oc6u7HuvvpJHcnObptzdEkd06PjyW5pqpqfTEBAAAAWJe9O1izL8kTW7ZP\nJ/m2C63p7nNV9fkkX5XkM1sXVdUNSW6YNv+lqh69lND/Bz0/275WhmH24zL7MZn7uMx+XGY/LrMf\nl9mPaTfN/et2smgnhdDadPetSW6d8z3nUFUnuvvw0jmYn9mPy+zHZO7jMvtxmf24zH5cZj+mEee+\nk1PGziQ5sGV7//TceddU1d4kz0ny2XUEBAAAAGC9dlIIPZDkqqq6sqouS/LmJMe3rTme5Lrp8fcn\n+XB39/piAgAAALAuFz1lbLom0I1J7k2yJ8nt3X2yqt6d5ER3H0/y3iS/VVWnknwuq9JoJLvuNDh2\nzOzHZfZjMvdxmf24zH5cZj8usx/TcHMvB/IAAAAAjGUnp4wBAAAAsIsohAAAAAAGoxB6BqrqSFU9\nWlWnquqmpfMwj6o6UFUfqaqHq+pkVb1j6UzMq6r2VNVfVtUfLp2F+VTVc6vqWFX9VVU9UlXfvnQm\n5lFVPzH9vv9kVb2vqp61dCY2o6pur6qnquqTW557XlXdV1Wfmj5/5ZIZ2YwLzP4Xp9/5D1XV71bV\nc5fMyPqdb+5bXntnVXVVPX+JbGzWhWZfVW+bfu5PVtUvLJVvLgqhS1RVe5LckuR1SQ4leUtVHVo2\nFTM5l+Sd3X0oyauS/JjZD+cdSR5ZOgSz+9Ukf9zd35jk5fE9MISq2pfk7UkOd/dLs7rBxmg3zxjJ\nHUmObHvupiQf6u6rknxo2mb3uSNfPPv7kry0u1+W5K+TvGvuUGzcHfniuaeqDiT53iSPzx2I2dyR\nbbOvqtckOZrk5d39TUl+aYFcs1IIXbqrk5zq7se6++kkd2f1zcMu191PdveD0+N/zuo/hfuWTcVc\nqmp/ktcnuW3pLMynqp6T5Luyuqtmuvvp7v7HZVMxo71Jvqyq9ia5PMnfLZyHDenuP83qjrlbHU1y\n5/T4ziRvnDUUszjf7Lv7g919btr88yT7Zw/GRl3gZz5J3pPkp5K4A9MudYHZ/2iSm7v7C9Oap2YP\nNjOF0KXbl+SJLdunoxQYTlUdTPKKJPcvm4QZ/UpWOwj/sXQQZnVlkrNJfnM6XfC2qnr20qHYvO4+\nk9VfCB9P8mSSz3f3B5dNxcxe0N1PTo8/neQFS4ZhMT+c5I+WDsHmVdXRJGe6++NLZ2F2L07ynVV1\nf1X9SVV969KBNk0hBJeoqr48ye8k+fHu/qel87B5VfWGJE9190eXzsLs9iZ5ZZJf7+5XJPnXOG1k\nCNP1Yo5mVQp+bZJnV9UPLpuKpXR3xxEDw6mqn8nqkgF3LZ2Fzaqqy5P8dJKfXToLi9ib5HlZXRbk\nJ5N8oKpq2UibpRC6dGeSHNiyvX96jgFU1ZdkVQbd1d33LJ2H2bw6ybVV9bdZnSb63VX128tGYian\nk5zu7v86GvBYVgURu9/3JPmb7j7b3f+e5J4k37FwJub191X1wiSZPu/6Uwj4H1V1fZI3JPmBqRBk\nd3tRVn8A+Pi0v7c/yYNV9TWLpmIup5Pc0yt/kdUZAbv6ouIKoUv3QJKrqurKqrosqwtMHl84EzOY\nWuL3Jnmku3956TzMp7vf1d37u/tgVj/zH+5uRwoMoLs/neSJqnrJ9NQ1SR5eMBLzeTzJq6rq8un3\n/zVxQfHRHE9y3fT4uiS/v2AWZlRVR7I6Tfza7v63pfOwed39ie7+6u4+OO3vnU7yymk/gN3v95K8\nJkmq6sVJLkvymUUTbZhC6BJNF5i7Mcm9We0YfqC7Ty6bipm8OskPZXV0yMemj+9bOhSwcW9LcldV\nPZTkm5P83MJ5mMF0VNixJA8m+URW+063LhqKjamq9yX5syQvqarTVfXWJDcneW1VfSqrI8ZuXjIj\nm3GB2f9akq9Ict+0v/cbi4Zk7S4wdwZwgdnfnuTrp1vR353kut1+ZGDt8q8PAAAAgG0cIQQAAAAw\nGIUQAAAAwGAUQgAAAACDUQgBAAAADEYhBAAAADAYhRAAAADAYBRCAAAAAIP5T5XpoDnVnHqPAAAA\nAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10d474470>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "expected_values = [\n",
    "    sum(i*x for i,x in enumerate(r['posterior_predictive']))\n",
    "    for r in results\n",
    "]\n",
    "plt.plot(expected_values)\n",
    "axes = plt.gca()\n",
    "axes.set_ylim((0,3))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1.1568093215181339"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "deltas = [ev-actual for ev, actual in zip(expected_values, geno_tds)]\n",
    "sq_deltas = [pow(d,2) for d in deltas]\n",
    "avg_delta = sum(sq_deltas) / len(sq_deltas)\n",
    "rmse = math.sqrt(avg_delta)\n",
    "rmse"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table class='petl'>\n",
       "<thead>\n",
       "<tr>\n",
       "<th>year</th>\n",
       "<th>full_name</th>\n",
       "<th>avg_tds</th>\n",
       "<th>bucket_num</th>\n",
       "<th>bucket</th>\n",
       "</tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "<tr>\n",
       "<td style='text-align: right'>2009</td>\n",
       "<td>Aaron Rodgers</td>\n",
       "<td>1.88</td>\n",
       "<td style='text-align: right'>3</td>\n",
       "<td>ok</td>\n",
       "</tr>\n",
       "<tr>\n",
       "<td style='text-align: right'>2009</td>\n",
       "<td>Carson Palmer</td>\n",
       "<td>1.31</td>\n",
       "<td style='text-align: right'>2</td>\n",
       "<td>meh</td>\n",
       "</tr>\n",
       "<tr>\n",
       "<td style='text-align: right'>2009</td>\n",
       "<td>Eli Manning</td>\n",
       "<td>1.69</td>\n",
       "<td style='text-align: right'>3</td>\n",
       "<td>ok</td>\n",
       "</tr>\n",
       "<tr>\n",
       "<td style='text-align: right'>2009</td>\n",
       "<td>Joe Flacco</td>\n",
       "<td>1.31</td>\n",
       "<td style='text-align: right'>2</td>\n",
       "<td>meh</td>\n",
       "</tr>\n",
       "<tr>\n",
       "<td style='text-align: right'>2009</td>\n",
       "<td>Matt Schaub</td>\n",
       "<td>1.81</td>\n",
       "<td style='text-align: right'>3</td>\n",
       "<td>ok</td>\n",
       "</tr>\n",
       "</tbody>\n",
       "</table>\n",
       "<p><strong>...</strong></p>"
      ],
      "text/plain": [
       "+------+-----------------+-----------------+------------+--------+\n",
       "| year | full_name       | avg_tds         | bucket_num | bucket |\n",
       "+======+=================+=================+============+========+\n",
       "| 2009 | 'Aaron Rodgers' | Decimal('1.88') |          3 | 'ok'   |\n",
       "+------+-----------------+-----------------+------------+--------+\n",
       "| 2009 | 'Carson Palmer' | Decimal('1.31') |          2 | 'meh'  |\n",
       "+------+-----------------+-----------------+------------+--------+\n",
       "| 2009 | 'Eli Manning'   | Decimal('1.69') |          3 | 'ok'   |\n",
       "+------+-----------------+-----------------+------------+--------+\n",
       "| 2009 | 'Joe Flacco'    | Decimal('1.31') |          2 | 'meh'  |\n",
       "+------+-----------------+-----------------+------------+--------+\n",
       "| 2009 | 'Matt Schaub'   | Decimal('1.81') |          3 | 'ok'   |\n",
       "+------+-----------------+-----------------+------------+--------+\n",
       "..."
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "seasons"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "seasons.tocsv('seasons.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table class='petl'>\n",
       "<thead>\n",
       "<tr>\n",
       "<th>year</th>\n",
       "<th>full_name</th>\n",
       "<th>week</th>\n",
       "<th>tds</th>\n",
       "<th>season_avg_tds</th>\n",
       "<th>season_bucket</th>\n",
       "</tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "<tr>\n",
       "<td style='text-align: right'>2009</td>\n",
       "<td>Aaron Rodgers</td>\n",
       "<td style='text-align: right'>1</td>\n",
       "<td style='text-align: right'>1</td>\n",
       "<td>1.88</td>\n",
       "<td>ok</td>\n",
       "</tr>\n",
       "<tr>\n",
       "<td style='text-align: right'>2009</td>\n",
       "<td>Aaron Rodgers</td>\n",
       "<td style='text-align: right'>2</td>\n",
       "<td style='text-align: right'>1</td>\n",
       "<td>1.88</td>\n",
       "<td>ok</td>\n",
       "</tr>\n",
       "<tr>\n",
       "<td style='text-align: right'>2009</td>\n",
       "<td>Aaron Rodgers</td>\n",
       "<td style='text-align: right'>3</td>\n",
       "<td style='text-align: right'>2</td>\n",
       "<td>1.88</td>\n",
       "<td>ok</td>\n",
       "</tr>\n",
       "<tr>\n",
       "<td style='text-align: right'>2009</td>\n",
       "<td>Aaron Rodgers</td>\n",
       "<td style='text-align: right'>4</td>\n",
       "<td style='text-align: right'>2</td>\n",
       "<td>1.88</td>\n",
       "<td>ok</td>\n",
       "</tr>\n",
       "<tr>\n",
       "<td style='text-align: right'>2009</td>\n",
       "<td>Aaron Rodgers</td>\n",
       "<td style='text-align: right'>6</td>\n",
       "<td style='text-align: right'>2</td>\n",
       "<td>1.88</td>\n",
       "<td>ok</td>\n",
       "</tr>\n",
       "</tbody>\n",
       "</table>\n",
       "<p><strong>...</strong></p>"
      ],
      "text/plain": [
       "+------+-----------------+------+-----+-----------------+---------------+\n",
       "| year | full_name       | week | tds | season_avg_tds  | season_bucket |\n",
       "+======+=================+======+=====+=================+===============+\n",
       "| 2009 | 'Aaron Rodgers' |    1 |   1 | Decimal('1.88') | 'ok'          |\n",
       "+------+-----------------+------+-----+-----------------+---------------+\n",
       "| 2009 | 'Aaron Rodgers' |    2 |   1 | Decimal('1.88') | 'ok'          |\n",
       "+------+-----------------+------+-----+-----------------+---------------+\n",
       "| 2009 | 'Aaron Rodgers' |    3 |   2 | Decimal('1.88') | 'ok'          |\n",
       "+------+-----------------+------+-----+-----------------+---------------+\n",
       "| 2009 | 'Aaron Rodgers' |    4 |   2 | Decimal('1.88') | 'ok'          |\n",
       "+------+-----------------+------+-----+-----------------+---------------+\n",
       "| 2009 | 'Aaron Rodgers' |    6 |   2 | Decimal('1.88') | 'ok'          |\n",
       "+------+-----------------+------+-----+-----------------+---------------+\n",
       "..."
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "games"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "games.tocsv('games.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "bucket_data.tocsv('bucket_data.csv')\n",
    "bucket_td_data.tocsv('bucket_td_data.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "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": "3.6.1"
  }
 },
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}