Involve: A Journal of Mathematics

  • Involve
  • Volume 5, Number 4 (2012), 463-471.

An application of Google's PageRank to NFL rankings

Laurie Zack, Ron Lamb, and Sarah Ball

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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.

Article information

Involve, Volume 5, Number 4 (2012), 463-471.

Received: 10 January 2012
Accepted: 16 June 2012
First available in Project Euclid: 20 December 2017

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Digital Object Identifier

Mathematical Reviews number (MathSciNet)

Zentralblatt MATH identifier

Primary: 15A18: Eigenvalues, singular values, and eigenvectors 15A99: Miscellaneous topics 68M01: General

PageRank algorithm linear algebra ranking football teams


Zack, Laurie; Lamb, Ron; Ball, Sarah. An application of Google's PageRank to NFL rankings. Involve 5 (2012), no. 4, 463--471. doi:10.2140/involve.2012.5.463.

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