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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
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Abstract |
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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. |
Keywords
PageRank algorithm, linear algebra, ranking football teams
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Mathematical Subject Classification 2010
Primary: 15A18, 15A99, 68M01
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Milestones
Received: 10 January 2012
Accepted: 16 June 2012
Published: 14 June 2013
Communicated by Charles R. Johnson
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Authors |
| Laurie Zack | |
| High Point University 833 Montlieu Avenue High Point, NC 27262 United States |
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| Ron Lamb | |
| High Point University 833 Montlieu Avenue High Point, NC 27262 United States |
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| Sarah Ball | |
| High Point University 833 Montlieu Avenue High Point, NC 27262 United States |
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