SportsDataverse

Blog

Python packages

sportsdataverse

All - Python

Python package for working with Sports data.

Node.js modules

sportsdataverse

All collegiate and 6 Professional sports - Node.js

Node.js module with access to ESPN, 247Sports, and the NCAA website

nfl-nerd

NFL - Node.js

An api for fetching historical or real time games. Created for NFL player props betting.

R packages

cfbfastR

College Football - R

Functions to Access College Football Play by Play Data.

hoopR

Men's Basketball (NBA and MBB) - R

Functions to Access Men's Basketball Play by Play Data.

wehoop

Women's Basketball (WNBA and WBB) - R

Functions to Access Women's Basketball Play by Play Data.

baseballr

MLB, MiLB, NCAA Baseball - R

Functions for Acquiring and Analyzing Baseball Data.

worldfootballR

World Football - R

Functions to Extract World Football (Soccer) Data from Fbref.com, transfermarkt.com, and understat.com.

hockeyR

NHL - R

Functions for Acquiring and Analyzing NHL Play-by-Play Data.

fastRhockey

PHF - R

Functions to Access Premier Hockey Federation Play by Play Data.

cfbplotR

College Sports Visualization - R

CFB Logo Plots in 'ggplot2'.

cfb4th

College Football Modeling - R

Functions to Calculate Optimal Fourth Down Decisions for NCAA Football.

gamezoneR

College Basketball - R

Functions to access NCAA Men’s Basketball data from STATS LLC’s GameZone.

recruitR

College Sports Recruiting - R

Functions to access college sports recruiting data.

powerplay

NHL - R

Functions to Access Hockey Play-by-Play Data.

puntr

American Football - Special Teams - R

Analysis of Punting.

Data Repositories supporting SportsDataverse packages:

cfbfastR-data

College Football - Data

Repository containing data for working with CFB data. 2002-2020 data included in csv, rds, and parquet format.

hoopR-data

Men's Basketball (NBA and MBB) - Data

Repository containing data for most teams, players and coaches from 2002-2020. All data provided in csv, rds, and parquet format.

wehoop-data

Women's Basketball (WNBA and WBB) - Data

Repository containing data for most teams and games from 2002-present. All data provided in csv, rds, and parquet format.

worldfootballR-data

World Football (Soccer) - Data

Repository containing data for Fbref Comps and Leagues, Transfermarkt Leagues, Mapping between FBref and Transfermarkt Players

Talk Data to Us

We are always looking to add more developers to the SportsDataverse developer group who share common cause with the aim to make the sports data industry more diverse and inclusive. If you are already a package developer interested in joining us, please reach out below.

The SportsDataverse is a concept our group has been working on to create and develop a more cohesive set of sports data packages in Python, R and Node.js. Among the goals of the SportsDataverse is to flatten the learning curve the average user has to go through to get access to the highest quality open-source data and analytics

Work with us

Are you interested in working with sports data, developing open-source packages and helping teach others to do the same? Our group is dedicated to the cause of trying to include people from more diverse backgrounds and underrepresented groups in sports.

Additionally, we are making the publicly available sports data much more accessible to the common person. The desired goal is to create a supportive community that will provide guidance and mentor those who want to be a part of the solution. Shoot me a message on Twitter - @SaiemGilani!