This project aims to analyze assessment and performance data collected from baseball players to make predictions about baseball performance based on vision and physical abilities. We use hierarchical regression analyses to identify characteristics that correlate with batting performance in order to inform scouts about the likely production of developmental prospects. The final product is an application that uses an athlete’s assessment results to produce performance summary graphs for the individual compared to other athletes and inferential models for the relationships between assessments and performance.
Project Leads: Greg Appelbaum, Marc Richard, Joel Huber
Watch the team’s final presentation (on Zoom) here: