Quickstart
One pip install, every major league. sportsdataverse is a single Python
NBA
Welcome to the hardwood! 🎉 In just a few lines of Python you're about to
WNBA
Welcome! In just a few lines of Python you're about to pull WNBA teams, rosters, schedules, play-by-play, season stats, standings and the draft — all as tidy polars DataFrames that are ready to model. 🚀
MBB
Welcome to Selection-Sunday-grade hoops data! 🎉 In a handful of lines of
WBB
Welcome to the women's college hoops corner of the SportsDataverse! 🎉 In a handful of lines you're about to pull rosters, schedules, play-by-play, live scoreboards, AP rankings, ESPN's Basketball Power Index (BPI), in-game win-probability curves, and season-long parquet releases — all returned as tidy polars DataFrames that are ready to model. 🚀
NFL
Welcome to gridiron data! 🎉 In a handful of lines you're about to pull
CFB
Saturdays in autumn, condensed into tidy DataFrames. 🍂 In a few lines of
MLB
Welcome to the ballpark! 🏟️ In just a few lines of Python you're about to
NHL
Welcome to the show! 🎉 sportsdataverse.nhl gives you the NHL's own modern
PWHL
Welcome to professional women's hockey! The Professional Women's Hockey League (PWHL) dropped its first puck in January 2024 with six clubs — Boston, Minnesota, Montréal, New York, Ottawa and Toronto — and it's been must-watch hockey ever since. 🎉
Junior & minor hockey
Four leagues, one toolkit. sportsdataverse wraps the HockeyTech /
Betting odds
Welcome! In a few lines of Python you're about to pull live betting odds