SportsDataverse

Blog

Python packages

sportsdataverse

All - Python

Python package for working with Sports data.

sportypy

Sports Visualizations - Python

Plot Scaled 'matplotlib' Representations of Sports Playing Surfaces.

recruitR-py

College Sports Recruiting - Python

Access College Sports Recruiting Data.

collegebaseball

College Baseball - Python

Access College Baseball Data.

R packages

sportsdataverse

All CRAN Packages - R

Easily Install and Load the 'sportsdataverse'

cfbfastR

College Football - R

Access College Football Play by Play Data.

hoopR

Men's Basketball (NBA and MBB) - R

Access Men's Basketball Play by Play Data.

wehoop

Women's Basketball (WNBA and WBB) - R

Access Women's Basketball Play by Play Data.

toRvik

Men's College Basketball - R

Scrape Tidy Men's College Basketball Data from BartTorvik.

baseballr

MLB, MiLB, NCAA Baseball - R

Acquiring and Analyzing Baseball Data.

sportyR

Sports Visualizations - R

Plot Scaled 'ggplot' Representations of Sports Playing Surfaces.

chessR

Chess - R

Extract and Analyze Chess Game Data Played on Lichess and chess.com.

fastRhockey

NHL and PHF - R

Access NHL and Premier Hockey Federation Play by Play Data.

hockeyR

NHL - R

Access NHL Play by Play Data.

worldfootballR

World Football - R

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

ggshakeR

Data Visualization - R

An Analysis and Visualization Package for Publicly Available Soccer Data.

usfootballR

USA Football - R

Access MLS and NWSL Play-by-Play Data.

soccerAnimate

2D Soccer Animation - R

Create 2-D animations of soccer tracking data.

cfbplotR

College Sports Visualization - R

CFB Logo Plots in 'ggplot2'.

mlbplotR

Baseball Visualization - R

MLB Logo Plots in 'ggplot2'.

cfb4th

College Football Modeling - R

Calculate Optimal Fourth Down Decisions for NCAA Football.

oddsapiR

Sports Betting - R

Access sports odds from the Odds API.

gamezoneR

College Basketball - R

Access NCAA Men’s Basketball Data from STATS LLC’s GameZone.

recruitR

College Sports Recruiting - R

Access College Sports Recruiting Data.

puntr

American Football - Special Teams - R

Analysis of Punting.

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.

Data Repositories supporting SportsDataverse packages:

cfbfastR-data

College Football - Data

Repository containing data for working with CFB data. 2002-present 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-present. 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

fastRhockey-data

Hockey (NHL and PHF) - Data

Repository containing data for most teams and games from 2010-present for NHL, 2016-present for PHF. All data provided in csv, rds, and parquet format.

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!