Complicarles la vidauna visión económica y financiera de las redes de tarjetas amarillas y rojas de los equipos de fútbol español
- Mourão, Paulo Reis 1
- Jesyca Salgado Barandela 2
-
1
Universidade do Minho
info
- 2 niversidad de Santiago de Compostela (España)
ISSN: 1579-1726, 1988-2041
Datum der Publikation: 2024
Nummer: 53
Seiten: 530-538
Art: Artikel
Andere Publikationen in: Retos: nuevas tendencias en educación física, deporte y recreación
Zusammenfassung
Un partido de fútbol sin exhibición de tarjetas amarillas o rojas es muy poco común en la competición profesional. Las sanciones por el mal comportamiento de los jugadores tienen implicaciones éticas para el correcto funcionamiento de la competición. Por otro lado, las tarjetas están relacionadas con factores estratégicos del juego y pueden tener costes importantes para los equipos. El principal objetivo de este trabajo se centra en analizar las interacciones, patrones y determinantes de las relaciones que se dan entre los equipos en función de las sanciones disciplinarias impartidas y recibidas. Estudiamos las temporadas de la Liga Española de Fútbol Profesional desde 2010/2011 a 2018/2019, utilizando análisis de redes complejas. Consideramos el valor de las transferencias de los equipos y el perfil del árbitro como factores determinantes. Nuestra principal evidencia sugiere que ha habido una tendencia a la baja en el número de tarjetas exhibidas en los partidos a lo largo de las temporadas, aunque ha habido ingresos estables por honorarios para el organizador (RFEF). También identificamos diferentes perfiles de árbitros capaces de incrementar el número de tarjetas exhibidas a algunos equipos en particular. También observamos que los equipos que normalmente compiten por el mismo rango tienden a participar en partidos con un mayor número de tarjetas expuestas, pero las similitudes financieras entre los equipos competidores no son tan significativas para explicar la agresividad/exposición en los partidos.
Bibliographische Referenzen
- Almeida, C. H., Cruz, P., Gonçalves, R., Batalau, R., Paixão, P., Jorge, J. A., & Vargas, P. (2022). Game criticality in male youth football: Situational and age-related effects on the goal-scoring period in Portuguese national champi-onships. Retos: nuevas tendencias en educación física, deporte y recreación, 46, 864-875.
- Álvarez, J., Ramírez, J., Amatria, M., & Murillo, V. (2020). Momentos críticos del partido en las mejores ligas euro-peas de fútbol sala. Retos: nuevas tendencias en educación física, deporte y recreación, 38, 77-82.
- Alves, R., Sousa, T., Vaz, V., Sarmento, H., Bradley, P. S., & Dias, G. (2023). Analysis of the interaction and offensive network of the Portuguese national team at the 2016 European Football Championship. Retos: nuevas tendencias en educación física, deporte y recreación, 47, 35-42.
- Anders, A., & Rotthoff, K. W. (2011). Yellow cards: Do they matter?. Journal of Quantitative Analysis in Sports, 7(1).
- Audrino, F. (2020). Strongest team favoritism in European national football: Myth or reality?. International Journal of Sport Finance, 15(3), 137-151.
- Bäker, A., Mechtel, M., & Vetter, K. (2012). Beating thy neighbor: Derby effects in German professional soc-cer. Jahrbücher für Nationalökonomie und Statistik, 232(3), 224-246.
- Bar-Eli, M., Tenenbaum, G., & Geister, S. (2006). Consequences of players’ dismissal in professional soccer: A crisis-related analysis of group-size effects. Journal of sports sciences, 24(10), 1083-1094.
- Boyko, R. H., Boyko, A. R., & Boyko, M. G. (2007). Referee bias contributes to home advantage in English Premier-ship 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(2), 431-449.
- Caimo, A., & Friel, N. (2013). Bayesian model selection for exponential random graph models. Social Networks, 35(1), 11-24.
- Cho, J. E., & Shin, J. H. (2016). The Relationship between Game Result and Foul, Yellow Card, Red Card, Penalty Kick in Soccer. Korean Journal of Sport Science, 27(3), 618-630.
- CIES Football Observatory Monthly Report (2020). Global study of penalty cards in professional football. Monthly Report n°57 September 2020.
- Couto, B. P., & Sayers, M. G. (2023). Crowd social pressure in the Brazilian soccer league: testing home advantage and referees’ bias during the COVID-19 pandemic. International Journal of Sport and Exercise Psychology, 21(4), 673-688.
- Dawson, P., Dobson, S., Goddard, J., & Wilson, J. (2007). Are football referees really biased and inconsistent?: evi-dence 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.
- Deutscher, C., & Schneemann, S. (2017). The impact of intermediate information on sabotage in tournaments with heterogeneous contestants. Managerial and Decision Economics, 38(2), 222–237.
- Downward, P., & Jones, M. (2007). Effects of crowd size on referee decisions: Analysis of the FA Cup. Journal of sports sciences, 25(14), 1541-1545.
- FA Discipline Handbook 2019/20. Football Association. Retrieved from: http://www.thefa.com/football-rules-governance/lawsandrules/fa-handbook.
- Frank, O., & Strauss, D. (1986). Markov graphs. Journal of the american Statistical association, 81(395), 832-842.
- Giuffre, K. (2013). Communities and Networks: Using Social Network Analysis to Rethink Urban and Community Studies. New York: Wiley.
- Gomar, D. A., Arana, G. M. P., & Oliveira, J. A. P. (2020). An experience of comprehensive training through soccer (Una experiencia de formación integral a través del fútbol. Retos: nuevas tendencias en educación física, deporte y recrea-ción, 38, 375-378.
- Gómez, M. A., Lago, C., Gómez, M. T., & Furley, P. (2019). Analysis of elite soccer players’ performance before and after signing a new contract. PLoS one, 14(1), e211058.
- Gómez-Déniz, E., & Dávila-Cárdenes, N. (2017). Factors inuencing the penalty cards in soccer. Electronic Journal of Applied Statistical Analysis, 10(3), 629-653.
- Hlasny, V., & Kolaric, S. (2017). Catch me if you can: Referee–team relationships and disciplinary cautions in foot-ball. Journal of Sports Economics, 18(6), 560-591.
- Holland, P. W., & Leinhardt, S. (1981). An Exponential Family of Probability Distributions for Directed Graphs. Journal of the American Statistical Association, 76, 33-50
- Kempa, K., & Rusch, H. (2019). Dissent, sabotage, and leader behaviour in contests: Evidence from European foot-ball. Managerial and Decision Economics, 40(5), 500-514.
- Lago-Peñas, C., & Gómez-López, M. (2016). The influence of referee bias on extra time in elite soccer match-es. Perceptual and motor skills, 122(2), 666-677.
- Lee, C., & Wilkinson, D. J. (2018). A Social Network Analysis of Articles on Social Network Analysis. arXiv preprint arXiv:1810.09781. Retrieved from https://arxiv.org/abs/1810.09781
- Lex, H., Pizzera, A., Kurtes, M., & Schack, T. (2015). Influence of players’ vocalisations on soccer referees’ deci-sions. European journal of sport science, 15(5), 424-428.
- Magel, R., & Melnykov, Y. (2014). Examining influential factors and predicting outcomes in European soccer games. International Journal of Sports Science, 4(3), 91-96.
- McLeod, P. L., Lobel, S. A., & Cox Jr, T. H. (1996). Ethnic diversity and creativity in small groups. Small group re-search, 27(2), 248-264.
- Memmert, D., Unkelbach, C., Ertmer, J., & Rechner, M. (2008). Yellow card or no yellow card? Soccer cautioning as a calibration problem. Zeitschrift fur Sportpsychologie, 15(1), 1-11.
- Mourao, P. (2022). Exploring determinants of international transfers of women soccer players in Portuguese foot-ball. International Journal of Sports Science & Coaching, 0(0).
- Mourao, P. (2016). Soccer transfers, team efficiency and the sports cycle in the most valued European soccer leagues–have European soccer teams been efficient in trading players?. Applied Economics, 48(56), 5513-5524.
- Robins, G., Pattison, P., & Wasserman, S. (1999). Logit models and logistic regressions for social networks: III. Val-ued relations. Psychometrika, 64, 371–394.
- Sapp, R. M., Spangenburg, E. E., & Hagberg, J. M. (2018). Trends in aggressive play and refereeing among the top five European soccer leagues. Journal of sports sciences, 36(12), 1346-1354.
- Scoppa, V. (2008). Are subjective evaluations biased by social factors or connections? An econometric analysis of soc-cer referee decisions. Empirical Economics, 35(1), 123-140.
- Shumate, M. & E. T. Palazzolo (2010). Exponential Random Graph (p*) Models as a Method for Social Network Analysis in Communication Research. Communication Methods and Measures, 4(4), 341-371.
- Uddin, S., & Hossain, L. (2013). Dyad and Triad Census Analysis of Crisis Communication. Social Networking, 2(1), 32-41.
- Unkelbach, C., & Memmert, D. (2008). Game management, context effects, and calibration: The case of yellow cards in soccer. Journal of Sport and Exercise Psychology, 30(1), 95-109.
- Vahed, G., Padayachee, V., Reddy, K., & Desai, A. (2002). Blacks in Whites: A Century of Sporting Struggles in Kwa-zulu Natal, 1880-2002. University of KwaZulu-Natal Press.
- van der Pol, J. (2019). Introduction to network modeling using Exponential Random Graph Models (ERGM): Theory and an application using R-project. Computational Economics, 54(3), 845-875.
- VanDerwerken, D. N., Rothert, J., & Nguelifack, B. M. (2018). Does the threat of suspension curb dangerous behav-ior in soccer? A case study from the Premier League. Journal of Sports Economics, 19(6), 759-785.
- Vasilica, I., Silva, R., Costa, P., Figueira, B., & Vaz, L. (2022). Football refereeing: a systematic review and literature mapping. Journal of Physical Education and Sport, 22(2), 388-401.
- Watts, D. J., & Strogatz, S. H. (1998). Collective dynamics of ‘small world’networks. Nature, 393(6684), 440.
- Wunderlich, F., Weigelt, M., Rein, R., & Memmert, D. (2021). How does spectator presence affect football? Home advantage remains in European top-class football matches played without spectators during the COVID-19 pan-demic. Plos one, 16(3), e0248590.
- Zhang, L., Zhang, H., Li, S., Ding, J., Peng, Y., & Huang, Z. (2022). Influence Mechanism of the Home Advantage on Referees’ Decision-Making in Modern Football Field–A Study From Sports Neuro-Decision Science. Frontiers in Psychology, 13, 873184.
- Zhao, Y., & Zhang, H. (2023). Sabotage in dynamic tournaments with heterogeneous contestants: Evidence from Eu-ropean football. International Journal of Sports Science & Coaching, 18(2), 552-562.