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The professional foul in football: Tactics and deterrents

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  • M Wright

    (Lancaster University)

  • N Hirotsu

    (Lancaster University)

Abstract

We demonstrate the use of a model calibrated using data from every 1999–2000 Premiership match to determine the circumstances under which a player ‘should’ commit a professional foul in order to benefit his team. The results are illustrated using two hypothetical matches, one between evenly balanced teams and one where one of the teams is much stronger than the other. These circumstances turn out to be wide-ranging and, in some cases, somewhat counterintuitive. The many drawbacks of the current system for punishing such fouls are discussed, and a simple remedy is proposed that would not only be much fairer to all involved but would also, at a stroke, render the professional foul virtually obsolete.

Suggested Citation

  • M Wright & N Hirotsu, 2003. "The professional foul in football: Tactics and deterrents," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 54(3), pages 213-221, March.
    • Handle: RePEc:pal:jorsoc:v:54:y:2003:i:3:d:10.1057_palgrave.jors.2601506
    DOI: 10.1057/palgrave.jors.2601506
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    1. Jack Brimberg & W. J. Hurley & R. E. Johnson, 1999. "A Punt Returner Location Problem," Operations Research, INFORMS, vol. 47(3), pages 482-487, June.
    2. Bruce Bukiet & Elliotte Rusty Harold & José Luis Palacios, 1997. "A Markov Chain Approach to Baseball," Operations Research, INFORMS, vol. 45(1), pages 14-23, February.
    3. Alan Washburn, 1991. "Still More on Pulling the Goalie," Interfaces, INFORMS, vol. 21(2), pages 59-64, April.
    4. S R Clarke & J M Norman, 1999. "To run or not?: Some dynamic programming models in cricket," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 50(5), pages 536-545, May.
    5. M. J. Maher, 1982. "Modelling association football scores," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 36(3), pages 109-118, September.
    6. D Dyte & S R Clarke, 2000. "A ratings based Poisson model for World Cup soccer simulation," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 51(8), pages 993-998, August.
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    Cited by:

    1. M B Wright, 2009. "50 years of OR in sport," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(1), pages 161-168, May.
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    3. Van Calster Ben & Smits Tim & Van Huffel Sabine, 2008. "The Curse of Scoreless Draws in Soccer: The Relationship with a Team's Offensive, Defensive, and Overall Performance," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 4(1), pages 1-24, January.
    4. Hirotsu Nobuyoshi & Ito Masamitsu & Miyaji Chikara & Hamano Koji & Taguchi Azuma, 2009. "Modeling Tactical Changes of Formation in Association Football as a Non-Zero-Sum Game," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 5(3), pages 1-15, July.

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