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Offense-Defense Approach to Ranking Team Sports

Author

Listed:
  • Govan Anjela Y

    (North Carolina State University)

  • Langville Amy N

    (College of Charleston)

  • Meyer Carl D

    (North Carolina State University)

Abstract

The rank of an object is its relative importance to the other objects in the set. Often a rank is an integer assigned from the set 1,...,n. A ranking model is a method of determining a way in which the ranks are assigned. Usually a ranking model uses information available on the objects to determine their respective ratings. The most recognized application of ranking is the competitive sports. Numerous ranking models have been created over the years to compute the team ratings for various sports. In this paper we propose a flexible, easily coded, fast, iterative approach we call the Offense-Defense Model (ODM), to generating team ratings. The convergence of the ODM is grounded in the theory of matrix balancing.

Suggested Citation

  • Govan Anjela Y & Langville Amy N & Meyer Carl D, 2009. "Offense-Defense Approach to Ranking Team Sports," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 5(1), pages 1-19, January.
    • Handle: RePEc:bpj:jqsprt:v:5:y:2009:i:1:n:4
    DOI: 10.2202/1559-0410.1151
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    Cited by:

    1. Carmen Herrero & Antonio Villar, 2022. "Pairwise contests: wins, losses, and strength," Working Papers 22.11, Universidad Pablo de Olavide, Department of Economics.
    2. S. S. Dabadghao & B. Vaziri, 2022. "The predictive power of popular sports ranking methods in the NFL, NBA, and NHL," Operational Research, Springer, vol. 22(3), pages 2767-2783, July.
    3. Carmen Herrero & Antonio Villar, 2022. "Sports competitions and the Break-Even rule," Working Papers 22.13, Universidad Pablo de Olavide, Department of Economics.
    4. Swanson Nathan & Koban Donald & Brundage Patrick, 2017. "Predicting the NHL playoffs with PageRank," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 13(4), pages 131-139, December.
    5. Burer Samuel, 2012. "Robust Rankings for College Football," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 8(2), pages 1-22, June.

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