2018 MIT Sloan Sports Analytics Conference Recap

Written By: Scott Steinberg, Nathan Jen, & Ansh Hirani There are many reasons why the MIT Sloan Sports Analytics Conference generates so much hype each year. Houston Rockets general manager and basketball analytics leader Daryl Morey is one of the co-founders of the conference. Shane Battier and Brian Burke, among others,

Wins & Point Differential in the NFL

Written by: Eric Zhou In Correspondence to Sam Ventura’s class: 36-144 (Winning with Statistics in Sports) Football is a relatively new sport when it comes to sports analytics - especially compared to another major American pastime: baseball. Football by nature is more difficult to analyze in-depth because of its ever-changing landscape on

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

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

Finding Value in the NBA Draft

Written by John McCool (@Desertrose28) The NBA draft offers a fresh start for struggling NBA teams short on prospects or skilled veterans. In particular, players drafted in lottery slots can make an instant impact in the league at a cheap price. History, however, suggests that even players picked in the lottery

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

Clustering NBA Teams by Shot Selection

Written by John McCool (@Desertrose28) Shot selection, which includes any field goal attempt from a layup to a three pointer, is a vital component to the game of basketball. NBA teams that consistently take open or high percentage shots around the basket will likely have an advantage over their competition. Teams should also

In Defense of Mike Tomlin

Written by Adam Tucker (@adamtb182) Main Takeaways Expected point gain of going for it on fourth down gives key insights as to why Mike Tomlin chose not to kick a field goal at the end of the half of yesterday’s game. Under the lens of expected point gain, are NFL coaches really acting