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Influence of Red and Yellow cards on team performance in elite soccer

Author

Listed:
  • Llorenç Badiella

    (Universitat Autònoma de Barcelona
    Universitat Autònoma de Barcelona)

  • Pedro Puig

    (Universitat Autònoma de Barcelona
    Cerdanyola del Vallès)

  • Carlos Lago-Peñas

    (Universidad de Vigo)

  • Martí Casals

    (University of Vic-Central University of Catalonia (UVic-UCC)
    University of Vic-Central University of Catalonia (UVic-UCC)
    University of Barcelona)

Abstract

The aim of the current study is to analyze the effects of red and yellow cards on the scoring rate in elite soccer. The sample was composed of 1826 matches in the top five European leagues. All events were structured in 5-min intervals and were analyzed by means of a Generalized Linear Mixed Model with Poisson distribution, considering the presence of correlated data, where the dependent variable is represented by scoring rate. Team strength and home advantage were considered implicitly by means of a transformation of the betting odds for each game. The model also took into account the goal difference and time evolution. Overall, we found that after a sending off, each team’s scoring rate changes significantly, damaging the penalised team and favouring its opponent. When the player who is sent off belongs to the Away team, the impact of a red card is more or less maintained over time intervals. The red card effect, on the other hand, tends to fade over time when the affected team is stronger. The relative difference in scoring rates is also affected by the goal difference and the difference in booked players, being slightly lower for the team going ahead if it has more booked players. Our approach allows estimating the expected cumulative soring rate through time for various red card scenarios. Particularly if a red card is given with 30 min of remaining time, the expected impact is 0.39 goals if the guilty player is on the visiting team and 0.50 if he plays for the home team. Coaches and analysts could use this information to establish objectives for players and teams in training and matches and to be prepared for these very different scenarios of numerical superiority or inferiority.

Suggested Citation

  • Llorenç Badiella & Pedro Puig & Carlos Lago-Peñas & Martí Casals, 2023. "Influence of Red and Yellow cards on team performance in elite soccer," Annals of Operations Research, Springer, vol. 325(1), pages 149-165, June.
    • Handle: RePEc:spr:annopr:v:325:y:2023:i:1:d:10.1007_s10479-022-04733-0
    DOI: 10.1007/s10479-022-04733-0
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    References listed on IDEAS

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    1. Jakub Červený & Jan C. Ours & Martin A. Tuijl, 2018. "Effects of a red card on goal-scoring in World Cup football matches," Empirical Economics, Springer, vol. 55(2), pages 883-903, September.
    2. Anders Anne & Rotthoff Kurt W, 2011. "Yellow Cards: Do They Matter?," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 7(1), pages 1-12, January.
    3. Fiona Carmichael & Dennis Thomas, 2005. "Home-Field Effect and Team Performance," Journal of Sports Economics, , vol. 6(3), pages 264-281, August.
    4. A. C. Titman & D. A. Costain & P. G. Ridall & K. Gregory, 2015. "Joint modelling of goals and bookings in association football," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 178(3), pages 659-683, June.
    5. Carlos Lago-Peñas & Miguel-Ángel Gómez-Ruano & Adam Lee Owen & Jaime Sampaio, 2016. "The effects of a player dismissal on competitive technical match performance," International Journal of Performance Analysis in Sport, Taylor & Francis Journals, vol. 16(3), pages 792-800, December.
    6. Raffaele Mattera, 2023. "Forecasting binary outcomes in soccer," Annals of Operations Research, Springer, vol. 325(1), pages 115-134, June.
    7. Mario Mechtel & Agnes Bäker & Tobias Brändle & Karin Vetter, 2011. "Red Cards," Journal of Sports Economics, , vol. 12(6), pages 621-646, December.
    8. Marco Caliendo & Dubravko Radic, 2006. "Ten Do It Better, Do They?: An Empirical Analysis of an Old Football Myth," Discussion Papers of DIW Berlin 592, DIW Berlin, German Institute for Economic Research.
    9. Fabian Wunderlich & Daniel Memmert, 2018. "The Betting Odds Rating System: Using soccer forecasts to forecast soccer," PLOS ONE, Public Library of Science, vol. 13(6), pages 1-18, June.
    10. Chowdhury, Abdur, 2015. "Can Ten do it Better? Impact of Red Card in the English Premier League," Working Papers and Research 2015-01, Marquette University, Center for Global and Economic Studies and Department of Economics.
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