Great Lakes Analytics in Sports Conference

Eric Eager

Assistant Professor, Mathematical Biology |

University of Wisconsin-La Crosse

Analyst and Writer | Pro Football Focus

NFL Team Ranking Methods and Their Abilities to Predict Games

In this talk Eric will discuss various ways to measure the strength of teams in the National Football League.  He will compare these rankings, highlighting where and why discrepancies arise, and show how they can be used to predict who will win various matchups week-to-week.

Eric Eager is an assistant professor at the University of Wisconsin-La Crosse.  He received his PhD in mathematical biology from the University of Nebraska-Lincoln in 2012 and joined the faculty at UWL shortly thereafter. He has published roughly 20 papers in mathematical biology and is the principal investigator on a $280,000 Research Experience for Undergraduates grant from the National Science Foundation. He joined Pro Football Focus in 2015 and is currently in their analytics group. He has published roughly 75 articles for PFF, and has been featured on numerous radio shows and podcasts over the last year.

Follow Eric on Twitter

Watch a video of Eric's GLASC presentation

View slides of Eric's GLASC presentation

Listen to a podcast interview with Eric and GLASC director Scott Tappa

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