4 papers
Bayesian multilevel step-and-turn models for evaluating player movement in American football
Quang Nguyen, Ronald Yurko
In sports analytics, player tracking data have driven significant advancements in the task of player evaluation. We present a novel generative framework for evaluating the observed…
A Bayesian circular mixed-effects model for explaining variability in directional movement in American football
Quang Nguyen, Ronald Yurko
Change of direction is a key element of player movement in American football, yet there remains a lack of objective approaches for in-game performance evaluation of this athletic t…
Swinging, Fast and Slow: Interpreting variation in baseball swing tracking metrics
Scott Powers, Ronald Yurko
In 2024, Major League Baseball released new bat tracking data, reporting swing-by-swing bat speed and swing length measured at the point of contact. While exciting, the data presen…
A multilevel model with heterogeneous variances for snap timing in the National Football League
Quang Nguyen, Ronald Yurko
Player tracking data have provided great opportunities to generate novel insights into understudied areas of American football, such as pre-snap motion. Using a Bayesian multilevel…