Meet the Speakers
Click on each photo to learn more about our speakers
Dean Oliver
KEYNOTE ADDRESS
Sports Analytics Pioneer​
Project Specialist,
Sports Statistics, ESPN​​​
TITLE: TBD ABSTRACT: TBD
Alok Pattani
CLOSING KEYNOTE
Developer Advocate,
Google Cloud
TITLE: TBD ABSTRACT: TBD
Amanda Glazer
Assistant Professor,
Department of Statistics and Data Sciences
University of Texas at Austin
TITLE: Tractable Algorithms for Changepoint Detection in Player Performance Metrics ABSTRACT: In this talk, I will present tractable methods for detecting changes in player performance metrics and apply these methods to Major League Baseball batting and pitching data from the 2023 and 2024 seasons. I propose a changepoint detection algorithm that combines a likelihood ratio-based approach with split-sample inference to control false positives, using either nonparametric tests or tests appropriate to the underlying data distribution. I will demonstrate the utility of this approach across several baseball applications: detecting changes in batter plate discipline metrics (e.g., chase and whiff rate), identifying velocity drops in pitcher fastballs, and validating changepoints against a curated ground-truth dataset of pitchers who transitioned from relief to starting roles.