Resources

Conferences

• Carnegie Mellon Sports Analytics Conference
• November 6-7, 2021
• Columbus Blue Jackets Hockey Analytics Conference
• February 2022
• Great Lakes Analytics Conference
• March 10, 2022
• MathSport International
• June/July 2022
• MIT Sloan Sports Analytics Conference
• March 4-5, 2022
• New England Symposium on Statistics in Sports
• Friday afternoons during the month of October, 2021
• OptaPro Forum
• YouTube videos
• Ottawa Hockey Analytics Conference at Carleton
• YouTube videos
• Rochester Institute of Technology Sports Analytics Conference
• Dates TBD
• SABR Analytics Conference
• March 18-20, 2022
• Sports IDEAS Symposium
• Dates TBD
• StatsBomb Innovation in Football Conference
• October 8, 2021
• Seattle Hockey Analytics Conference
• YouTube videos
• UConn Sports Analytics Symposium
• October 9, 2021
• Vancouver Hockey Analytics Conference
• YouTube videos

Data

• Kaggle
• Kaggle is a tremendous resource for collected datasets and competitions in a variety of sports competitions
• RBSDM
• Football statistics page run by Ben Baldwin
• Has many useful datasets as well as beginner nflfastR tutorials
• Kenpom
• (Awesome) College MBB analytics website run by Ken Pomeroy
• Team specific data requires a paid subscription
• PFF
• Cutting edge NFL and CFB analytics website run by Cris Collinsworth
• Most data behind paywall
• Lots of pretty incredible articles and analysis
• Basketball Reference
• Most comprehensive data source for NBA
• Sports Reference
• Most comprehensive data source for MBB
• Football Reference
• Most comprehensive data source for NFL
• FB Reference
• Most comprehensive data source for professional Soccer
• CFB Reference
• Most comprehensive data source for college football
• MLB Reference
• Most comprehensive data source for MLB
• Hockey Reference
• Most comprehensive data source for NHL
• Sports Data Resources
• General list of databases for a variety of sports

R packages

• nflfastR
• Website for R package, nflfastR, which has many useful functions and datasets for analyzing the NFL
• cfbscrapR
• Github for R package, cfbscrapR, which helps analysis of college football data
• nbastatR
• Website for R package, nbastatR, which assists in scraping data and generating analysis for NBA
• baseballR
• Github for R package, baseballR, that assists in analyzing MLB analytics
• KenpomR
• R package to scrape Kenpom (team specific data requires subscription)

Learning

• DSAC Learning R
• Resources and a recommended learning pathway for R
• How to Use R for Sports
• Provides incredibly basic walkthrough of how to use R to load, clean, and run analysis of sports data
• Syracuse Analytics Blitz
• Github of project finished by Jack Lichtenstein, Ben Thorpe, and Bryce Grove for Syracuse Analytics Blitz in February 2021, with the goal of estimating optimal run/pass ratios by field position in the NFL. Excellent example of stunning dataviz, as well as what it looks like to work a project through to completion.