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 Arne Thomas , Henning Piezunka , Linus Dahlander
Outshining Your Rival: Interpersonal Rivalry and Its Effects on Organizational Contributions
Research focus: interpersonal rivalry, individual and organizational performance, social comparison, risk taking, NBA basketball
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 Rodolphe Durand , Henning Piezunka , Philipp Reineke
Difference in Deference: When Competitors Do Not Give in Despite Having Lost
Research focus: competition, rivalry, deference, social norms, Formula One racing
Published Research
By Thorsten Grohsjean, Henning Piezunka, Maren Mickeler
When colleagues compete outside the firm
Research focus: workplace collaboration, competition, rivalry, social networks, professional soccer
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