Articles • cfbfastR

Introduction to cfbfastR: Getting started with using cfbfastR and college football analytics.
Making Animated Win Probability Charts with cfbfastR: Step-by-step walk-through of the process of adapting Lee Sharpe’s win probability charts to college football using data from CollegeFootballData.com collected using the cfbfastR package for R.
Creating Fourth Down Tendency Plots Using cfbfastR: A rundown of the Big XII returning coaches fourth down tendencies
Rolling EPA Graph: IT’S GRAPHIN’ TIME
^To be said in an extremely Power Rangers voice^
Visualizing Team Talent from Player Recruiting Rankings: A quick way to visually approximate how much talent each school recruited using cfbfastR and ggplot2.
Intro to Visualizing Recruiting Geography

College Football Expected Points Model Fundamentals - Part I: Expected points model definition - a model explainer
College Football Expected Points Model Fundamentals - Part II: Motivating the regression - I do bad regression to show that a multinomial logistic regression model is necessary
College Football Expected Points Model Fundamentals - Part III: A brief history of expected points models. Learn about Virgil Carter’s 1970 paper and the origins of the nflscrapR expected points model (which the cfbscrapR package used). The cfbfastR package includes support for this model as well.

CFB Data Betting Lines Examples: Get betting lines information for games using cfbd_betting_lines()
CFB Data Games Examples: Provides access to game-level team (cfbd_game_team_stats()) and player (cfbd_game_player_stats()) standard box scores, as well as team-level advanced box scores (cfbd_game_box_advanced()). Also useful for looking up game information (cfbd_game_info()), broadcast details (cfbd_game_media()), and team records/results information (cfbd_game_records()).
CFB Data Plays Examples: Using the CFB Data Plays Endpoint to pull down the 2020 season by week using cfbd_plays()
CFB Data Recruiting Examples: Accessing 247Sports composite recruiting data through the CFBD API using cfbd_recruiting_player() for Player Rankings, cfbd_recruiting_team() for Team Rankings and cfbd_recruiting_position() for Position Group metrics
CFB Data Stats Examples: Settling 2019 LSU and 2013 Florida State offense debates using Team and Player Stats from the CFBD API
CFB Data Teams Examples: Get team rosters (cfbd_team_rosters()), talent (cfbd_team_talent()) and team matchup history (cfbd_team_matchup_history()) and records (cfbd_team_matchup_records()) from the CFBD API