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Eric Eager, SumerSports

Using Machine Learning to Better Evaluate American Football Players

Date: Time: 4:00 pm–4:50 pm
Avery Hall Room: 115
Additional Info: AVH
Contact: Richard Rebarber
The game of football is undergoing a significant shift towards the quantitative. Much of the progress made in the analytics space can be attributed to play-by-play data and charting data. However, recent years have given rise to tracking data, which has opened the door for innovation that was not possible before. In this talk I will describe how to gain an edge in player evaluation by building off of traditional charting data with state-of-the-art player tracking data, and foreshadow how such methods will revolutionize the sport of football in the future.

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