An application of Google’s PageRank to NFL rankings

Laurie Zack; Ron Lamb; Sarah Ball

doi:10.2140/involve.2012.5.463

An application of Google’s PageRank to NFL rankings

Laurie Zack, Ron Lamb, Sarah Ball

Mathematics and Statistics

Research output: Contribution to journal › Article

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.

Original language	English
Journal	Involve
Volume	5
Issue number	Issue 4
DOIs	https://doi.org/10.2140/involve.2012.5.463
State	Published - 2012

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10.2140/involve.2012.5.463

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title = "An application of Google{\textquoteright}s PageRank to NFL rankings",

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.",

author = "Laurie Zack and Ron Lamb and Sarah Ball",

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VL - 5

JO - Involve

JF - Involve

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An application of Google’s PageRank to NFL rankings

Abstract

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