Sloan Sports Analytics Conference Recap

Written by: Steven Silverman (@silver_stats) The 11th annual Sloan Sports Analytics Conference took place in Boston from March 3-4, featuring as usual a wide variety of panelists, research papers, competitions, and conversations. Below is a brief recap highlighting some of the best moments of the weekend. Hackathon: On Thursday, March 2nd, the day before the… Read More Sloan Sports Analytics Conference Recap

Analyzing the Relationship Between Swimming Lane and Performance

Written by Gabby Vennitti In correspondence with Sam Ventura’s class: 36-145 – Winning with Statistics in Sports The 50 freestyle is one of the most exciting races in all of competitive swimming. It’s fast-paced, usually takes less than 25 seconds, and has been swum by every swimmer from every age group in the Olympics. With… Read More Analyzing the Relationship Between Swimming Lane and Performance

Creating Open Shots from Beyond the Arc

Written by John McCool (@Desertrose28)    Quick Takeaways 0.194 correlation between open three pointers and 3FG% The Rockets, Celtics, and Cavaliers are among the leaders in open three point frequency   In today’s NBA, three pointers are valued more than the mid range jumper. However, recklessly shooting threes can hinder offensive performance and ball movement.… Read More Creating Open Shots from Beyond the Arc

Predicting the Next Year’s Worth of Baseball Hall of Famers

Written by Scott Steinberg Increasingly publicized voting ballots, heated debates over social media, and a seemingly higher frequency of controversial Curt Schilling tweets mean that the release of the Baseball Hall of Fame Class of 2017 is here. This voting season’s significance is marked by the final year of Tim Raines’s voting eligibility, the first… Read More Predicting the Next Year’s Worth of Baseball Hall of Famers

Bootstrapping Expected Goal Coefficients (Part Two)

Written by John McCool (@Desertrose28) Quick Takeaways: There appears to be significant coefficient variability in the angle and rebound coefficients from 2007-08 through 2015-16 using bootstrap analysis The distance and rush coefficient remain relatively stable across seasons This suggests that current expected goal (xG) models could be biased if trained on coefficients from past seasons In the… Read More Bootstrapping Expected Goal Coefficients (Part Two)