sportsdataverse 开源项目推荐（19 个）

sportsdataverse /hoopR

An R package to quickly obtain clean and tidy men's basketball play by play data.

sportsdataverse /sportsdataverse-py

Tidy sports data in Python: play-by-play, box scores, schedules, rosters and models across 100+ leagues (NFL, NBA, WNBA, MLB, NHL, college sports, soccer, international basketball and hockey). polars-first.

sportsdataverse /sportyR

R package for drawing regulation playing surfaces for several sports

sportsdataverse /cfbfastR

An R package to quickly obtain clean and tidy college football play by play data

sportsdataverse /sportsdataverse-js

Retrieves sports data from a popular sports website as well as from the NCAA website, with support for NBA, WNBA, NFL, NHL, College Football and mens and womens college basketball,

sportsdataverse /sportypy

Python package for drawing regulation playing surfaces for several sports

sportsdataverse /wehoop

An R package to quickly obtain clean and tidy women's basketball play by play data.

sportsdataverse /fastRhockey

Tidy hockey data for R: NHL, PWHL, AHL and CHL, 13 European leagues and NCAA college hockey. Live scrapers, release loaders and xG.

camdenk /mlbplotR

R package to easily plot MLB logos

sportsdataverse /recruitR

A college football recruiting package

sportsdataverse /sportsdataverse-R

该项目在 GitHub 上没有填写描述

sportsdataverse /usfootballR

MLS and NWSL play-by-play data

sportsdataverse /cfb4th

A set of functions to analyze NCAA Football 4th Downs.

sportsdataverse /oddsapiR

Access sports odds from the Odds API

sportsdataverse /cfbplotR

A set of functions to visualize college football teams in 'ggplot2'

sportsdataverse /sdvplotR

Team logos, wordmarks, headshots and colors for ggplot2 plots and gt / reactable tables across the NFL, NBA, WNBA, MLB, NHL and college sports

armstjc /Visual-Sports-Studio

In development desktop application trying to bridge sports stats to sports fans.

saiemgilani /sportsdataverse-nhl

NHL API TypeScript module

neeljshah /sdv-calibration-audit

Calibration auditing for published sports-model probability columns. Finds a significant completion_prob bias in the SportsDataverse CFB release that inflates every published cpoe figure. Game-clustered intervals, no tuned thresholds.