Research

RESEARCH PROJECTS

Research projects in sports analytics allow our students to advance their understanding of statistics, dive into interesting datasets, and solve real business problems. WSABI aims to use insights from faculty and community to power the sports industry, both off and on the field of play.

Published Research

A hierarchical Bayesian model of pitch framing

Sameer K. Deshpande* and Abraham Wyner

Published Research

By Shane T. Jensen, Kenneth E. Shirley and Abraham J. Wyner

BAYESBALL: A BAYESIAN HIERARCHICAL MODEL FOR EVALUATING FIELDING IN MAJOR LEAGUE BASEBALL

Research focus: Spatial models, Bayesian shrinkage, baseball fielding.

Research

Jake Flancer (W21) presented his work showcasing hockey analytics at the RIT Sports Analytics Conference

September 2019

A Bayesian Model for Estimating NHL Team Scoring

Research

Jacob Richey (C21) presented his work at the Carnegie Mellon Sports Analytics Conference,

November 2019

Factoring Strength of Schedule into Player Analysis, Player elo, done in conjunction with Professor Adi Wyner

Research

Jack Soslow (W19), Jake Flancer (W21), Eric Dong (ENG19), Andrew Castle (W21) were finalists in the inaugural Big Data Bowl hosted by the National Football League

Research focus: Using autoencoded receiver routes to optimize yardage

BASED PUBLICATIONS / ACADEMIC PAPERS