The effects of the red cards in knockout competitions: An analysis of the UEFA Europa League

Fernando Lera-López, Fabíola Zambom-Ferraresi, David Burguete

Abstract


This paper analyses the influence of red cards in the UEFA Europa League. This competition relies on a different format, with a relatively small number of matches and high uncertainty of outcome. For this reason, it can be foreseen how playing part of the game with one or more players sent off due to red cards could affect the teams’ performance. Furthermore, the possible change in the game tendency for both teams is studied. We have considered five seasons, in which 200 matches involved dismissals, analysing the relationship of red cards with six variables: fouls, yellow cards, corners, shots on target, ball possession, and goal differences. The results show that red cards change the sport tactics developed by teams, with an increase in offensive actions and ball possession for teams with more players. The results may have significant implications for sport coaches in terms of tactics and strategies.

Keywords


UEFA Europa league; Red cards; Goals; Football; Sport performance

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References


Anderson, C., & Sally, D. (2013). The numbers game: Why everything you know about soccer is wrong. Penguin.

Andres, A., & Rotthoff, K. W. (2011). Yellow cards: Do they matter? Journal of Quantitative Analysis in Sports, 7(1). doi.org/10.2202/1559-0410.1286

Boyko, R. H., Boyko, A. R., & Boyko, M. G. (2007). Referee bias contribute to home advantage in English Premiership football. Journal of Sports Sciences, 25(11), 1185-1194.

Buraimo, B., Forrest, D., & Simmons, R. (2010). The 12th man?: refereeing bias in English and German soccer. Journal of the Royal Statistical Society: Series A (Statistics in Society), 173, 431–449. doi:10.1111/j.1467-985X.2009.00604.x

Buraimo, B., Simmons, R., & Maciaszcyk, M. (2012). Favoritism and referee bias in European soccer: Evidence from the Spanish league and the UEFA champions league. Contemporary Economic Policy, 30(3), 329-343. doi.org/10.1111/j.1465-7287.2011.00295.x

Carmichael, F., Thomas, D., & Ward, R. (2000). Team performance: the case of English premiership football. Managerial and Decision Economics, 21(1), 31-45.

Casal, C. A., Maneiro, R., Ardá, T., Marí, F. J., & Losada, J. L. (2017). Possession zone as a performance indicator in football. The game of the best teams. Frontiers in Psychology, 8, July: 1176. doi.org/10.3389/fpsyg.2017.01176

Castellano, J., Casamichana, D., & Lago, C. (2012). The Use of Match Statistics that Discriminate Between Successful and Unsuccessful Soccer Teams. Journal of Human Kinetics, 31(1), 137-147. doi.org/10.2478/v10078-012-0015-7

Cerveny, J., van Ours, J. C., & Tuijl, M. A. (2018). Effects of a red card on goal-scoring in World Cup Football Matches. Empirical Economics, 55(2) 883–903. doi.org/ 10.1007/s00181-017-1287-5

Da Mota, G. R., Thiengo, C. R., Gimenes, S. V., & Bradley, P. S. (2016). The effects of ball possession status on physical and technical indicators during the 2014 FIFA World Cup Finals. Journal of Sports Sciences, 34(9), 493-500.

Dawson, P., Dobson, S., Goddard, J., & Wilson, J. (2007). Are football referees really biased and inconsistent?: evidence on the incidence of disciplinary sanction in the English Premier League. Journal of the Royal Statistical Society: Series A (Statistics in Society), 170(1), 231-250. DOI: 10.1111/j.1467-985X.2006.00451.x

FIFA (2002) Ken Aston – the inventor of yellow and red cards. Retrieved 19th december 2017 from

FIFA (2017) FIFA Marketing Reasearch. Retrieved on 22th december 2017 from https://goo.gl/XZKbzb

Gama, J., Dias, G., Couceiro, M., Sousa, T., & Vaz, V. (2016). Networks metrics and ball possession in professional football. Complexity, 21(1), 343-354. doi.org/10.1002/cplx.21813

Goumas, C. (2014). Home advantage and referee bias in European football. European Journal of Sport Science. 14 (suppl. 1), S243-S249. doi.org/10.1080/17461391.2012.686062

Greenberg, A. (2015). The red card cliché. Significance, 12(4), 30-33. DOI: 10.1111/j.1740-9713.2015.00842.x

IFAB (2015) FIFA: Laws of the Game 2015/2016. Retrieved on 19th december 2017 from https://goo.gl/AXJFBn

Lago-Ballesteros, J., & Lago-Peñas, C. (2010). Performance in Team Sports: Identifying the Keys to Success in Soccer. Journal of Human Kinetics, 25(1), 85-91. doi.org/10.2478/v10078-010-0035-0

Lago-Ballesteros, J., Lago-Peñas, C., & Rey, E. (2012). The effect of playing tactics and situational variables on achieving score-box possessions in a professional soccer team. Journal of Sports Sciences, 30(14), 1455-1461. doi.org/10.1080/02640414.2012.712715

Lago-Peñas, C., & Lago-Ballesteros, J. (2011). Game location and team quality effects on performance profiles in professional soccer. Journal of Sports Science and Medicine, 10(3), 465-471. PMCID: PMC3737821

Lago-Peñas, C., Lago-Ballesteros, J., Dellal, A., & Gómez, M. (2010). Game related statistics that discriminated winning, drawing and losing teams from the Spanish soccer league. Journal of Sports Science and Medicine, 9(2), 288-293. PMCID: PMC3761743

Liu, H., Yi, Q., Giménez, J.V., Gomez, M.A., & Lago-Peñas, C. (2015). Performance profiles of football teams in the UEFA champions league considering situational efficiency. International Journal of Performance Analysis in Sport, 15(1), 371-390.

Mechtel, M., Bäker, A., Brändle, T., & Vetter, K. (2011). Red cards: Not such bad news for penalized guest teams. Journal of Sports Economics, 12(6), 621-646. doi.org/10.1177/1527002510388478

Middlemas, S., & Harwood, C. (2017). No Place to Hide: Football Players' and Coaches' Perceptions of the Psychological Factors Influencing Video Feedback. Journal of Applied Sport Psychology, 1-22. doi.org/10.1080/10413200.2017.1302020

Moura, F. A., Martins, L. E. B., & Cunha, S. A. (2014). Analysis of football game-related statistics using multivariate techniques. Journal of Sports Sciences, 32(20), 1881-1887. doi.org/10.1080/02640414.2013.853130

Oberstone, J. (2009). Differentiating the top English premier league football clubs from the rest of the pack: Identifying the keys to success. Journal of Quantitative Analysis in Sports, 5(3), 10. doi.org/10.2202/1559-0410.1183

Ridder, G., Cramer, J. S., & Hopstaken, P. (1994). Down to ten: Estimating the effect of a red card in soccer. Journal of the American Statistical Association, 89(427), 1124-1127. doi.org/10.1080/01621459.1994.10476850

Sala-Garrido, R., Liern Carrión, V., Martinez Esteve, A., & Boscá, J. E. (2009). Analysis and evolution of efficiency in the Spanish soccer league (2000/01-2007/08). Journal of Quantitative Analysis in Sports, 5(1). doi.org/10.2202/1559-0410.1143

Vecer, J., Kopriva, F., & Ichiba, T. (2009). Estimating the effect of the red card in soccer: When to commit an offense in exchange for preventing a goal opportunity. Journal of Quantitative Analysis in Sports, 5(1). doi.org/10.2202/1559-0410.1146

Zambom-Ferraresi, F., García-Cebrián, L. I., Lera-López, F., & Iráizoz, B. (2017). Performance evaluation in the UEFA Champions League. Journal of Sports Economics, 18(5), 448-470. doi.org/10.1177/1527002515588135

Zubillaga, A., Gorospe, G., Hernández-Mendo, A., & Blanco-Villaseñor, A. (2009). Comparative analysis of the high-intensity activity of soccer players in top-level competition. Science and Football, VI, 182-186. < https://goo.gl/7HMvkq>


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