Sportsreference is a free python API that pulls the stats from www.sports-reference.com and allows them to be easily be used in python-based applications, especially ones involving data analytics and machine learning.
Sportsreference exposes a plethora of sports information from major sports leagues in North America, such as the MLB, NBA, College Football and Basketball, NFL, and NHL. Every sport has its own set of valid API queries ranging from the list of teams in a league, to the date and time of a game, to the total number of wins a team has secured during the season, and many, many more metrics that paint a more detailed picture of how a team has performed during a game or throughout a season.
The following are a few examples showcasing how easy it can be to collect an abundance of metrics and information from all of the tracked leagues. The examples below are only a miniscule subset of the total number of statistics that can be pulled using sportsreference. Visit the documentation on Read The Docs for a complete list of all information exposed by the API.
from sportsreference.nhl.teams import Teams
teams = Teams(2018)from sportsreference.nba.teams import Teams
teams = Teams()
for team in teams:
print(team.name, team.abbreviation)from sportsreference.nfl.teams import Teams
teams = Teams()
lions = teams('DET')from sportsreference.ncaab.schedule import Schedule
purdue_schedule = Schedule('purdue')
for game in purdue_schedule:
print(game.date)from sportsreference.ncaaf.boxscore import Boxscore
championship_game = Boxscore('2018-01-08-georgia')
print(championship_game.away_interceptions)from sportsreference.mlb.boxscore import Boxscore
game = Boxscore('BOS201806070')
df = game.dataframesportsreference examples installation testing
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