The NCAAB package offers multiple modules which can be used to retrieve information and statistics for Men's Division I College Basketball, such as team names, season stats, game schedules, and boxscore metrics.
The Boxscore module can be used to grab information from a specific game. Metrics range from number of points scored to the number of blocked shots, to the assist percentage and much more. The Boxscore can be easily queried by passing a boxscore's URI on sports-reference.com which can be retrieved from the Schedule class (see Schedule module below for more information on retrieving game-specific information).
from sportsreference.ncaab.boxscore import Boxscore
game_data = Boxscore('2018-04-02-21-villanova')
print(game_data.home_points) # Prints 79
print(game_data.away_points) # Prints 62
df = game_data.dataframe # Returns a Pandas DataFrame of game metricsThe Boxscore module also contains a Boxscores class which searches for all games played on a particular day and returns a dictionary of matchups between all teams on the requested day. The dictionary includes the names and abbreviations for each matchup as well as the boxscore link if applicable.
from datetime import datetime
from sportsreference.ncaab.boxscore import Boxscores
games_today = Boxscores(datetime.today())
print(games_today.games) # Prints a dictionary of all matchups for todaysportsreference.ncaab.boxscore
The Schedule module can be used to iterate over all games in a team's schedule to get game information such as the date, score, result, and more. Each game also has a link to the Boxscore class which has much more detailed information on the game metrics.
from sportsreference.ncaab.schedule import Schedule
purdue_schedule = Schedule('PURDUE')
for game in purdue_schedule:
print(game.date) # Prints the date the game was played
print(game.result) # Prints whether the team won or lost
# Creates an instance of the Boxscore class for the game.
boxscore = game.boxscoresportsreference.ncaab.schedule
The Teams module exposes information for all NCAAB teams including the team name and abbreviation, the number of games they won during the season, the total number of shots they've blocked, and much more.
from sportsreference.ncaab.teams import Teams
teams = Teams()
for team in teams:
print(team.name) # Prints the team's name
print(team.blocks) # Prints the number of shots the team blockedEach Team instance contains a link to the Schedule class which enables easy iteration over all games for a particular team. A Pandas DataFrame can also be queried to easily grab all stats for all games.
from sportsreference.ncaab.teams import Teams
teams = Teams()
for team in teams:
schedule = team.schedule # Returns a Schedule instance for each team
# Returns a Pandas DataFrame of all metrics for all game Boxscores for
# a season.
df = team.schedule.dataframe_extendedsportsreference.ncaab.teams