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A measure of competitiveness in leagues: a network approach

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  • A Jessop

    (Durham Business School)

Abstract

Many sports are played competitively in a league format. Final positions are based on the aggregations of the points won at each game. Issues of promotion, relegation and much else will depend on the position in the league. However, the results may also be seen to constitute a network of inter-team relations in which the links represent the degree to which a pair of teams have similar performance. This idea is taken as the basis for the construction of a systemic measure of competitiveness in the league. The basis for the model is the construction of a blockmodel on a network of binary relations. The method is illustrated by application to nine seasons of the English soccer Premier League.

Suggested Citation

  • A Jessop, 2006. "A measure of competitiveness in leagues: a network approach," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 57(12), pages 1425-1434, December.
    • Handle: RePEc:pal:jorsoc:v:57:y:2006:i:12:d:10.1057_palgrave.jors.2602122
    DOI: 10.1057/palgrave.jors.2602122
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    References listed on IDEAS

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    1. Jessop, Alan, 2003. "Blockmodels with maximum concentration," European Journal of Operational Research, Elsevier, vol. 148(1), pages 56-64, July.
    2. David Peel & Dennis Thomas, 1997. "Handicaps, outcome uncertainty and attendance demand," Applied Economics Letters, Taylor & Francis Journals, vol. 4(9), pages 567-570.
    3. Peel, David A & Thomas, Dennis A, 1992. "The Demand for Football: Some Evidence on Outcome Uncertainty," Empirical Economics, Springer, vol. 17(2), pages 323-331.
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