most citedMoving from Machine Learning to Statistics: the case of Expected Points in American football

1 citations · 2 across the 4 of their papers we have counts for

collaborators
Showing stat.APShow all

2 papers · 1 filter

stat.AP2024★ 1 cited

Moving from Machine Learning to Statistics: the case of Expected Points in American football

Ryan S. Brill, Ryan Yee, Sameer K. Deshpande +1

Expected points is a value function fundamental to player evaluation and strategic in-game decision-making across sports analytics, particularly in American football. To estimate e…

stat.AP2023★ 1 cited

Evaluating plate discipline in Major League Baseball with Bayesian Additive Regression Trees

Ryan Yee, Sameer K. Deshpande

We introduce a three-step framework to determine at which pitches Major League batters should swing. Unlike traditional plate discipline metrics, which implicitly assume that all b…