The Analytic GM: Using Data Mining to
Predict NFL Performance
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LYONS Maxwell.thesis.pdf (1.93 MB)
Date
2013-07-12
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Walk-in Access. This thesis can only be viewed on computer terminals at the <a href=http://mudd.princeton.edu>Mudd Manuscript Library</a>.
Abstract
NFL General Managers are constantly faced with high-risk, multi-million dollar decisions of selecting football players for their teams that maximize their teams ability to win while minimizing cost. This paper seeks to provide an analytical approach to measure player performance by creating a framework based on expected points and then valuing players, specifically running backs, based on this framework.
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Princeton University Senior Theses