Published research in sports analytics at the Wharton School applies data analysis and statistics to enhance performance, strategy, and decision-making in sports.
Published Research
By Ryan S. Brill (W’23), Ronald Yurko, and Abraham J. Wyner
Analytics, Have Some Humility: A Statistical View of Fourth-Down Decision Making
Research focus: football
Published Research
By Ryan S. Brill (W’23) and Abraham J. Wyner
The Winner of the NFL Draft is Not Necessarily Cursed
Research focus: football
Published Research
By Ryan S. Brill (W’23) and Abraham J. Wyner
Introducing Grid WAR: rethinking WAR for starting pitchers
Research focus: mathematical modeling; baseball; pitching; wins above replacement
Published Research
By Ryan S. Brill (W’23), Sameer K. Deshpande and Abraham J. Wyner
A Bayesian analysis of the time through the order penalty in baseball
Research focus: baseball, Bayesian statistics, mathematical modeling, pitching, time through order penalty
Published Research
By Namita Nandakumar (W’18)
What Does It Mean To Draft Perfectly? An Evaluation Of Draft Strategy In The National Hockey League
Research focus: National Hockey League, amateur draft, game theory
Published Research
By Sameer K. Deshpande* and Abraham Wyner
A hierarchical Bayesian model of pitch framing
Research focus: Baseball; Bayesian modeling; uncertainty
quantification.
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