Quarterback evaluation in the National Football League

Author: 
Date created: 
2020-08-20
Identifier: 
etd20996
Keywords: 
Sports analytics
Expected points
Machine learning
Model validation
Player tracking data
Abstract: 

This project evaluates quarterback performance in the National Football League. With the availability of player tracking data, there exists the capability to assess various options that are available to quarterbacks and the expected points resulting from each option. The quarterback’s execution is then measured against the optimal available option. Since decision making does not rely on the quality of teammates, a quarterback metric is introduced that provides a novel perspective on an understudied aspect of quarterback assessment.

Document type: 
Graduating extended essay / Research project
Rights: 
This thesis may be printed or downloaded for non-commercial research and scholarly purposes. Copyright remains with the author.
File(s): 
Supervisor(s): 
Tim Swartz
Department: 
Science: Department of Statistics and Actuarial Science
Thesis type: 
(Project) M.Sc.
Statistics: