Eric Eager, George Chahrouri, Timo Riske, Brad Spielberger, LauSze Yui, Zach Drapkin, Tej Seth
As the game of football makes a significant shift towards the quantitative, much of the progress made in the space can be attributed to analyses of play-by-play and charting data. However, recent years have given rise to player tracking data, which has opened the door for innovation that was not possible before. In our paper we used charting and tracking data to craft metrics for players that are more stable, descriptive and predictive than metrics that are built with either individually. Metrics for pass rushers, linebackers and wide receivers are debuted, with examples of where value can be found in player evaluation by virtue of these analyses.