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

Full-text: Open access

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.

Article information

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

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

Permanent link to this document
https://projecteuclid.org/euclid.involve/1513733537

Digital Object Identifier
doi:10.2140/involve.2012.5.463

Mathematical Reviews number (MathSciNet)
MR3069048

Zentralblatt MATH identifier
1273.68061

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

Keywords
PageRank algorithm linear algebra ranking football teams

Citation

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. https://projecteuclid.org/euclid.involve/1513733537


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