Vol. 5, No. 4, 2012

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ISSN: 1944-4184 (e-only)
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An application of Google's PageRank to NFL rankings

Laurie Zack, Ron Lamb and Sarah Ball

Vol. 5 (2012), No. 4, 463–471
Abstract

We explain the PageRank algorithm and its application to the ranking of football teams via the GEM method. We then modify and extend the GEM method with the addition of more football statistics to look at the possibility of using this method to more accurately rank teams. Lastly, we compare both methods by aggregating each statistical ranking using the cross-entropy Monte Carlo algorithm.

Keywords
PageRank algorithm, linear algebra, ranking football teams
Mathematical Subject Classification 2010
Primary: 15A18, 15A99, 68M01
Milestones
Received: 10 January 2012
Accepted: 16 June 2012
Published: 14 June 2013

Communicated by Charles R. Johnson
Authors
Laurie Zack
High Point University
833 Montlieu Avenue
High Point, NC 27262
United States
Ron Lamb
High Point University
833 Montlieu Avenue
High Point, NC 27262
United States
Sarah Ball
High Point University
833 Montlieu Avenue
High Point, NC 27262
United States