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In Favor of A Quantitative Boycott of the Bowl Championship Series

Author

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  • Stern H S

    (University of California, Irvine)

Abstract

The Bowl Championship Series is designed to match the two top teams in college football in a title game. To determine the top ranked teams, polls are combined with a number of quantitative ratings of the teams known collectively as the "computer ranking". The computer ranking serves primarily to offer a validation of the polls. The individuals whose quantitative ratings are used in the computer ranking have never been given a clear objective to design their ratings for and they are limited in the inputs that they can use (for example, they can not use score or site of game). For all of these reasons, I am advocating a boycott of the Bowl Championship Series by all quantitative analysts.

Suggested Citation

  • Stern H S, 2006. "In Favor of A Quantitative Boycott of the Bowl Championship Series," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 2(1), pages 1-6, January.
    • Handle: RePEc:bpj:jqsprt:v:2:y:2006:i:1:n:4
    DOI: 10.2202/1559-0410.1031
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    Citations

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    Cited by:

    1. Karl Andrew T., 2012. "The Sensitivity of College Football Rankings to Several Modeling Choices," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 8(3), pages 1-44, October.
    2. West Brady T & Lamsal Madhur, 2008. "A New Application of Linear Modeling in the Prediction of College Football Bowl Outcomes and the Development of Team Ratings," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 4(3), pages 1-21, July.
    3. B. Jay Coleman, 2014. "Minimum violations and predictive meta‐rankings for college football," Naval Research Logistics (NRL), John Wiley & Sons, vol. 61(1), pages 17-33, February.
    4. Buchman Susan & Kadane Joseph B., 2008. "Reweighting the Bowl Championship Series," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 4(3), pages 1-13, July.

    More about this item

    Keywords

    college football; ratings; BCS;
    All these keywords.

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