A New Iterative Method for Ranking College Football Teams

Wigness Maggie B, Williams Chadd C and Rowell Michael J
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Wigness Maggie B: Pacific University
Williams Chadd C: Pacific University
Rowell Michael J: Pacific University

Journal of Quantitative Analysis in Sports, 2010, vol. 6, issue 2, 15

Abstract: This paper introduces a new iterative model for ranking college football teams. It is first presented as a general model with a number of parameters. We then introduce two learning methods that use past data to predict the optimal values of the parameters for the model. Our learning algorithms are then implemented using data from 1998-2008. We analyze the accuracy of our rankings by considering bowl game outcomes for each season. We also compare our results with the Bowl Championship Series computer ranking system. We close with a discussion of possible directions for future work.

Date: 2010
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DOI: 10.2202/1559-0410.1242

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