Research

Sports data science at UVA brings research into the real world. By connecting expertise across disciplines with the challenges facing athletes, teams, and the broader sports industry, researchers are developing new ways to understand performance, improve athlete health, and inform better decisions. Explore the tools and projects turning research into practical applications and advancing what’s possible in sport.

Longitudinal Athlete Database

A multi-year collegiate athlete health and sport science database built to support advanced analysis of injury risk, performance trends, and physiological status across athlete populations over time.

Female Athlete Feasibility Study

Pilot testing multi-modal sensor and digital data integration to monitor physiological and wellness status in active college-age women, including non-invasive tracking of menstrual-cycle hormones.

Funded by UVA School of Data Science Pilot Funding

JumpGPT

A language model for analyzing and reporting jump profiles, built as a case study in model-development methodology as much as an end tool.

ARROW Dashboards

Technical arm of the ACL Reconstruction and Rehabilitation Outcomes Workgroup. Develops and deploys tools using ARROW data to support clinicians and researchers. Visit acldashboard.com for more information.

Athlete Privacy

Research examining privacy, ownership, and ethical considerations around athlete health data, with a focus on menstrual-cycle tracking. Includes a femtech-focused article and a pairwise-comparison survey study of college women athletes' attitudes toward sharing cycle data with coaches and teammates, aimed at informing privacy-enhanced data-sharing tools.

Sports Science and Analytics Collective

An initial collaborative approach to sports analysis and science at UVA, providing opportunities for students in sport and connection among faculty working in similar spaces.

Funded by the Jefferson Trust