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Determining the Evenness of Domestic Sporting Competition Using a Generic Rating Engine

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  • Bracewell Paul J

    (Offlode)

  • Forbes Don G. R.

    (Offlode)

  • Jowett Clint A.

    (Offlode)

  • Kitson Heath I. J.

    (Offlode)

Abstract

Through various media channels we often hear about the value of sport as entertainment. Part of this entertainment stems from observing closely fought competition. In this paper, we ascertain the most competitive mainstream domestic competition using a generic rating engine which creates output known as "Team Lodeings." Team Lodeings measure the relative performance of sports teams.The motivation for the development of this ratings engine was to predict international rugby results. More specifically, to determine how Team A would fare against Team C given the performance of Team A against Team B and how well Team B went against Team C. Standardisation, converting the match result to a score ratio and an adaptation of the chi-square test of independence, make it possible to apply this methodology to different sports and compare results meaningfully.The method is validated internally and externally using established measures of team performance with data from 23 domestic competitions, from a variety of sports across several countries. As this method enables direct comparison of teams from different competitions it allows examination of issues such as the impact of the salary cap on competition balance.

Suggested Citation

  • Bracewell Paul J & Forbes Don G. R. & Jowett Clint A. & Kitson Heath I. J., 2009. "Determining the Evenness of Domestic Sporting Competition Using a Generic Rating Engine," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 5(1), pages 1-25, January.
    • Handle: RePEc:bpj:jqsprt:v:5:y:2009:i:1:n:5
    DOI: 10.2202/1559-0410.1152
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    References listed on IDEAS

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    1. Rodney Fort & James Quirk, 1995. "Cross-subsidization, Incentives, and Outcomes in Professional Team Sports Leagues," Journal of Economic Literature, American Economic Association, vol. 33(3), pages 1265-1299, September.
    2. John McMillan, 1997. "Rugby meets economics," New Zealand Economic Papers, Taylor & Francis Journals, vol. 31(1), pages 93-114.
    3. M. J. Maher, 1982. "Modelling association football scores," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 36(3), pages 109-118, September.
    4. Brad R. Humphreys, 2002. "Alternative Measures of Competitive Balance in Sports Leagues," Journal of Sports Economics, , vol. 3(2), pages 133-148, May.
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    Cited by:

    1. Andon, Paul & Free, Clinton, 2012. "Auditing and crisis management: The 2010 Melbourne Storm salary cap scandal," Accounting, Organizations and Society, Elsevier, vol. 37(3), pages 131-154.

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