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The extent to which unbalanced schedules cause distortions in sports league tables

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  • Lenten, Liam J.A.

Abstract

The Australian Football League (AFL) has operated its fixture on the basis of an unbalanced schedule since the league expanded from 12 to 14 teams in 1987. This system contains a number of factors (some random) determining the set of bilateral combinations of teams that play each other on an extra occasion during the course of the season, not least of all maximising attendances. While the status quo may be unavoidable to some extent (it is also a bone of contention to many fans), its implications for within-season measures of competitive balance are nonetheless obvious. This is because of the potential for biases being created in the end-of-season league table as a result of the unbalanced schedule. This paper uses a modified model to correct for this inherent bias over the seasons 1997–2008, and the results are discussed in detail. The model is also generalisable to many unbalanced schedule designs observed in professional sports leagues worldwide.

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  • Lenten, Liam J.A., 2011. "The extent to which unbalanced schedules cause distortions in sports league tables," Economic Modelling, Elsevier, vol. 28(1), pages 451-458.
    • Handle: RePEc:eee:ecmode:v:28:y:2011:i:1:p:451-458
    DOI: 10.1016/j.econmod.2010.08.003
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    Cited by:

    1. Lee Scyoc & M. Kevin McGee, 2016. "Testing for competitive balance," Empirical Economics, Springer, vol. 50(3), pages 1029-1043, May.
    2. Lenten, Liam J.A. & Smith, Aaron C.T. & Boys, Noel, 2018. "Evaluating an alternative draft pick allocation policy to reduce ‘tanking’ in the Australian Football League," European Journal of Operational Research, Elsevier, vol. 267(1), pages 315-320.
    3. Kendall, Graham & Lenten, Liam J.A., 2017. "When sports rules go awry," European Journal of Operational Research, Elsevier, vol. 257(2), pages 377-394.
    4. Patrick J. Ferguson & Karim R. Lakhani, 2023. "Consuming Contests: The Effect of Outcome Uncertainty on Spectator Attendance in the Australian Football League," The Economic Record, The Economic Society of Australia, vol. 99(326), pages 410-435, September.
    5. Stephan Lenor & Liam J. A. Lenten & Jordi McKenzie, 2016. "Rivalry Effects and Unbalanced Schedule Optimisation in the Australian Football League," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 49(1), pages 43-69, August.
    6. Dorian Owen, 2014. "Measurement of competitive balance and uncertainty of outcome," Chapters, in: John Goddard & Peter Sloane (ed.), Handbook on the Economics of Professional Football, chapter 3, pages 41-59, Edward Elgar Publishing.
    7. Guironnet, Jean-Pascal, 2023. "Competitive intensity and industry performance of professional sports," Economic Modelling, Elsevier, vol. 126(C).
    8. Liam J. A. Lenten, 2015. "Measurement of Competitive Balance in Conference and Divisional Tournament Design," Journal of Sports Economics, , vol. 16(1), pages 3-25, January.
    9. Jason A. Winfree, 2020. "Rivalries, Bowl Eligibility, and Scheduling Effects in College Football," Journal of Sports Economics, , vol. 21(5), pages 477-492, June.
    10. Barry Reilly & Robert Witt, 2024. "The Effect of League Design on Club Revenues in the Scottish Premier League," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 50(1), pages 1-28, January.

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    More about this item

    Keywords

    Competitive balance; Measurement methods;

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • L83 - Industrial Organization - - Industry Studies: Services - - - Sports; Gambling; Restaurants; Recreation; Tourism

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