Open Access
2012 An application of Google's PageRank to NFL rankings
Laurie Zack, Ron Lamb, Sarah Ball
Involve 5(4): 463-471 (2012). DOI: 10.2140/involve.2012.5.463

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.

Citation

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Laurie Zack. Ron Lamb. Sarah Ball. "An application of Google's PageRank to NFL rankings." Involve 5 (4) 463 - 471, 2012. https://doi.org/10.2140/involve.2012.5.463

Information

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

zbMATH: 1273.68061
MathSciNet: MR3069048
Digital Object Identifier: 10.2140/involve.2012.5.463

Subjects:
Primary: 15A18‎ , 15A99 , 68M01

Keywords: linear algebra , PageRank algorithm , ranking football teams

Rights: Copyright © 2012 Mathematical Sciences Publishers

Vol.5 • No. 4 • 2012
MSP
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