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Instructor/Advisor

Dr. Nicholas SantaBarbara

Keywords

Sport Science, Sports Data Analytics

Abstract

This project integrates advanced sports science data and analytics to evaluate key performance metrics of NCAA football players and their correlation with NFL success. Specifically, by utilizing athlete monitoring systems, force-plate data, GPS tracking, NFL Combine/Pro Day results, PFF data, injury history, and in-season performance, I aim to identify physiological and statistical trends predictive of elite performance. Additionally, by exploring predictive modeling and machine learning, this work bridges sport science with data analytics, demonstrating expertise in performance monitoring, statistical analysis, and sport technology to inform evidence-based decision-making in player evaluation.

Applied Sports Science and Analytics: A Comprehensive Guide for Predicting NCAA-to-NFL Success in Football Players

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