'collegehoops' is an R package for gathering NCAA Men's Basketball data. The various functions within can efficiently produce dataframes of play-by-play information (ESPN), box scores (ESPN), betting-odds (ESPN), and up-to-date ratings/rankings (KenPom).
You can install collegehoops from GitHub with:
# install.packages("devtools")
install_github("dhutexas/collegehoops")get_game_ids(team, season): Returns a vector of all gameIds for a team in a given season. These act as the inputs for additional functions, allowing the scraping of data for particular games.get_season_schedule(team, season): Returns the full season schedule of games for a particular team. Again, the gameIds can be used to obtain data for each game using the additional functions herein.get_game_data(espn_game_id): Returns play-by-play data (if available) along with shot location data (if available) and basic facts about the game (home, away, final score, etc.).get_box_score_team(espn_game_id): Returns team-oriented box-score data for an individual game.get_box_score_players(espn_game_id): Returns player-oriented box-score data for an individual game.get_kenpom_data(season): Returns end-of-season or most recent (if current seson) Ken Pomeroy ratings and rankings in a tidy format.
The season parameter can be written either in the format "2020-21" or "21", where the final number refers to the year in which the NCAA Tournament is played.
The team parameter must match the name used by ESPN.com. A complete list of current names is available in the built-in dataset ids, with additional details described in the Datasets section below.
The espn_game_id parameter is the unique identifier for each game (past and future). To obtain a game, or games of interest to add as a parameter, please try some of the included functions in this package, such as get_game_ids(team, season) or get_season_schedule(team, season).
ids A data frame for converting between team names from various sites.
team: team name, as used by ESPNid: team id; numeric team id used by ESPNlink: link; url link for ESPN website
This dataset can be loaded by typing ids, after installing and loading the package.
This package owes a special debt of gratitude to Luke Benz and those over at ncaahoopR, including Saiem Gilani. If you are looking for a different way to gather this data, or some alternative functions, please check out their work.
Designed to be easily updated, and reflecting my comfort in the tidyverse, this package has a long list of dependencies. Most are within the tidyverse, and are likely installed on your machine already. In future versions of this package the code may be updated to reduce the number of dependencies.