readme.md

Synopsis

Code Example

Coming Soon...

Motivation

The goal of this project is to perform analysis of College Football Play by Play Data mainly geared towards Fantasy Football Analysis.

Installation

Provide code examples and explanations of how to get the project.

API Reference

Coming Soon...

Code Notes

web_scrape_game_ids_2002_2019.R

- this code scrapes all college football game ids from ESPN from 2002-2019. 
- note: occasionally some links are down on ESPN's websites so this code will have 
	to be periodically rerun to compile a full list. 
- the output is the ../Outputs/all_game_ids_2002_2019.rds and .csv

../Outputs/game_ids_2018.csv is a sample of game ids from 2018 (and a few from 2019)

- this file is generated from

ESPN_API_Stats_by_gameid.ipynb takes a vector of ESPN game id's and produces the following data sets:

- df_teams: A list of teams in each game, including their team id and name
- df_team_stats: teams stats by game 
- df_athlete: database of athletes compiled from the box score of each game
- df_venue: databse of venues frome each game
- df_drive: drive level stats for each drive in each game
- df_play:  play-by-play level stats for each play  
- df_predictor: prediction of winner for each game
- df_pick: gambling odds for each game
- df_win_prob: win probability throughout the game
- df_header: additional game infromation including conference game indicator, week, season, team reords, rank, etc. 

d1_ids.rds is a vector of Division Ids

d1_ids.r is the code used to identify these ids

Source Data

For Pre-pulled college football data: https://sportsdatastuff.com/cfb_pbpdata

For Self-pulled college football data: ESPN API

License

N/A