Building the SportsDataverse.
Python packages in the SportsDataverse:
cfbfastR-py
American Football - Python
cfbfastR-py is a Python package for working with American Football data.
It provides users the capability to load data from the cfbfastR-data andnflfastR-data repository with Expected Points Added/Win Probability added metrics.
R packages in the SportsDataverse:
cfbfastR
College Football - R
cfbfastR is an R package for working with College Football data.
It is an R API wrapper around https://collegefootballdata.com/.
It provides users the capability to retrieve data from the API and supplement that data with Expected Points Added/Win Probability added metrics.
hoopR
Men's Basketball - R
hoopR is an R package for working with men's basketball data. Provides live game support for ESPN’s NBA and men's college basketball game data and NCAA NET Rankings.
Also performs as a scraping and aggregating interface for Ken Pomeroy’s college basketball statistics website, kenpom.com.
Node.js modules in the SportsDataverse:
sportsdataverse
All collegiate and 6 Professional sports - Node.js
Support for the following types of data from ESPN's endpoints: play-by-play (including shot location data when available), scores, schedule, standings, and rankings (not available for professional sports).
Recruiting data from 247Sports available for: men's college basketball and college football.
The following sports are available from ESPN: College Basketball, Women's College Basketball, College Football, WNBA, NBA, NFL, and the NHL.
All team sports on the NCAA website: 'football', 'basketball-men', 'basketball-women', 'soccer-men', 'soccer-women', 'fieldhockey', 'volleyball-women', 'icehockey-men', 'icehockey-women', 'baseball', 'beach-volleyball', 'lacrosse-men', 'lacrosse-women', 'volleyball-men'
Data Repositories supporting SportsDataverse packages:
cfbfastR-data
College Football - Data
cfbfastR-data is a repository for working with CFB data. 2002-2020 data included in csv, rds, and parquet format.
hoopR-data
Men's Basketball - Data
hoopR-data contains data for most teams, players and coaches from 2002-2020. All data provided in csv, rds, and parquet format.
wehoop-data
Women's Basketball - Data
wehoop-data contains data for most teams and games from 2002-present. 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!
Copyright © 2021 SportsDataverse.org
Copyright © 2021 SportsDataverse.org