La influencia de la posesión del balón, los pases y los tiros a puerta para ganar partidos de fútbol de la liga premier

Autores/as

DOI:

https://doi.org/10.33448/rsd-v10i8.17824

Palabras clave:

Fútbol; Procesamiento de datos; Posesión del balón; Pases largos; Lugar de eventos; Ganar partidos de fútbol.

Resumen

El fútbol es el deporte más popular del mundo e implica la disponibilidad de información de jugadores y equipos para investigar el éxito en este deporte. Teniendo en cuenta estos aspectos, este estudio tiene como objetivo analizar la influencia del tiempo de posesión de balón, pases y tiros a puerta en la victoria de los partidos de fútbol de la Premier League. La metodología adoptada consiste en una investigación cuantitativa, descriptiva y documental, en la que la muestra está representada por los 380 partidos de la Premier League (PL) de la temporada 2015/2016. El proceso de análisis se realizó mediante la técnica de asociación, presente en el proceso de minería de datos, con el apoyo del software Weka. Los resultados sugieren que los tiros a puerta, así como su interacción con la posesión del balón y los pases (pases totales, precisión de pases, precisión de pases dentro del campo contrario y pases largos) influyeron en el resultado final de los partidos. Con base en los resultados, se puede concluir que las alternativas de juego directo, como tener menos tiempo en posesión del balón y más pases largos, asociados a más tiros a portería, fueron más beneficiosas para que los clubes de fútbol ganaran partidos.

Biografía del autor/a

Eric Matheus Rocha-Lima, Sao Paulo State University

Sao Paulo State University at Rio Claro (UNESP), Rio Claro, Brazil

Ivan Wallan Tertuliano, Universidade Anhembi Morumbi

Universidade Anhembi Morumbi, São Paulo-SP

Carlos Norberto Fischer, Sao Paulo State University

Sao Paulo State University at Rio Claro (UNESP), Rio Claro, Brazil

Citas

Agrawal, R., & Srikant, R. (1994). Fast Algorithms for Mining Association Rules. Proceedings of the 20th International Conference on Very Large Data Bases, 1–13. Santiago: VLDB Conference. Retrieved from https://rakesh.agrawal-family.com/papers/vldb94apriori.pdf

Almeida, C. H., Ferreira, A. P., & Volossovitch, A. (2014). Effects of match location, match status and quality of opposition on regaining possession in UEFA champions league. Journal of Human Kinetics, 41(1), 203–214. https://doi.org/10.2478/hukin-2014-0048

Anderson, C., & Sally, D. (2013). The Numbers Game: Why Everything You Know about Soccer is Wrong. United States: Penguin Books.

Barreira, D., Garganta, J., & Anguera, T. (2010). In search of nexus between attacking game-patterns, match status and type of ball recovery in European Soccer Championship 2008. In M. Hughes, H. Dancs, K. Nagyvaradi, T. Polgar, N. James, G. Sporis, G. Vuckovic, & M. Jovanovic (Eds.), Research Methods and Performance Analysis (pp. 226–237). Szombathely: University of West Hungary.

Bate, R. (1988). Football chance: tactics and strategy. In T. Reilly, A. Lees, K. Davids, & W. Murphy (Eds.), Science and football (pp. 293–301). London: E & F.N. Spon.

Besemann, C., Denton, A., & Yekkirala, A. (2004). Differential association rule mining for the study of protein-protein interaction networks. In M. J. Zaki, S. Morishita, & I. Rigoutsos (Eds.), BIOKDD’04: Proceedings of the 4th International Conference on Data Mining in Bioinformatics (pp. 72–80). Berlin: Springer-Verlag. https://doi.org/10.5555/3000580.3000590

Bradley, P. S., Lago-Peñas, C., Rey, E., & Sampaio, J. (2014). The influence of situational variables on ball possession in the English Premier League. Journal of Sports Sciences, 32(20), 1867–1873. https://doi.org/10.1080/02640414.2014.887850

Britannica, E. (2015). Football. Retrieved February 6, 2020, from britannica.com website: www.global.britannica.com/sports/football-soccer

Collet, C. (2013). The possession game? A comparative analysis of ball retention and team success in European and international football, 2007-2010. Journal of Sports Sciences, 31(2), 123–136. https://doi.org/10.1080/02640414.2012.727455

Casanova, F., Garganta, J., Oliveira, J. (2012). Representativeness of offensive scenarios to evaluate perceptual-cognitive expertise of soccer players. The open sports sciences journal, 5, 161-166. https://doi.org/10.2174/1875399x01205010161

Drust, B., & Green, M. (2013). Science and football: evaluating the influence of science on performance. Journal of Sports Sciences, 31(13), 1377–1382. https://doi.org/10.1080/02640414.2013.828544

Fernandez-Navarro, J., Fradua, L., Zubillaga, A., Ford, P. R., & McRobert, A. P. (2016). Attacking and defensive styles of play in soccer: analysis of Spanish and English elite teams. Journal of Sports Sciences, 34(24), 2195–2204. https://doi.org/10.1080/02640414.2016.1169309

Frencken, W., de Poel, H., Visscher, C., & Lemmink, K. (2012). Variability of inter-team distances associated with match events in elite-standard soccer. Journal of Sports Sciences, 30(12), 1207–1213. https://doi.org/10.1080/02640414.2012.703783

Garganta, J., Maia, J., & Basto, F. (1997). Analysis of goal- scoring patterns in European top level soccer teams. In J. Bangsbo, M. Hugles, & T. Reilly (Eds.), Science and football III. Proceedings of the Third World Congress of Science and Football (pp. 246–250). London: E & F.N. Spon.

Gonçalves, B. V., Figueira, B. E., Maçãs, V., & Sampaio, J. (2014). Effect of player position on movement behaviour, physical and physiological performances during an 11-a-side football game. Journal of Sports Sciences, 32(2), 191–199. https://doi.org/10.1080/02640414.2013.816761

Greene, W. H. (2012). Econometric Analysis. In Money Laundering in the Real Estate Sector (7th ed.). Boston: Pearson education.

Grund, T. U. (2012). Network structure and team performance: The case of English Premier League soccer teams. Social Networks, 34(4), 682–690. https://doi.org/10.1016/j.socnet.2012.08.004

Hughes, C. (1990). The Winning Formula. London: London William Collins & Co.

Hughes, M., & Franks, I. M. (2005). Notational Analysis of Sport (2nd ed.). New York: Routledge.

Johnson, R. A., & Wichern, D. W. (2007) Applied multivariate statistical analysis (6nd ed.). New Jersey: Pearson Prentice Hall.

Lago-Peñas, C., & Dellal, A. (2010). Ball possession strategies in elite soccer according to the evolution of the match-score: The influence of situational variables. Journal of Human Kinetics, 25(1), 93–100. https://doi.org/10.2478/v10078-010-0036-z

Lago-Peñas, C., & Gómez-López, M. (2014). How important is it to score a goal? the influence of the scoreline on match performance in elite soccer. Perceptual and Motor Skills, 119(3), 774–784. https://doi.org/10.2466/23.27.PMS.119c32z1

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.

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.

Lago, I., Lago‐Peñas, C., & Lago‐Peñas, S. (2016). Democracy and football. Social Science Quarterly, 97(5), 1282–1294. https://doi.org/10.1111/ssqu.12281

Legaz-Arrese, A., Moliner-Urdiales, D., & Munguía-Izquierdo, D. (2013). Home advantage and sports performance: Evidence, causes and psychological implications. Universitas Psychologica, 12(3), 933–943. https://doi.org/10.11144/Javeriana.UPSY12-3.hasp

Liu, H., Gómez, M.-A., Gonçalves, B., & Sampaio, J. (2016). Technical performance and match-to-match variation in elite football teams. Journal of Sports Sciences, 34(6), 509–518. https://doi.org/10.1080/02640414.2015.1117121

Machado, J., Barreira, D., & Garganta, J. (2010). Attacking game-patterns in soccer. a sequential analysis of the winner team of World Cup 2010. In M. Hughes, H. Dancs, K. Nagyvaradi, T. Polgar, N. James, G. Sporis, G. Vuckovic, & M. Jovanovic (Eds.), Research Methods and Performance Analysis (pp. 238–245). Szombathely: University of West Hungary.

Mackenzie, R., & Cushion, C. (2012). Performance analysis in football: A critical review and implications for future research. Journal of Sports Sciences, 31(6), 1–38. https://doi.org/10.1080/02640414.2012.746720

Menard, S. (2002). Applied logistic regression analysis (2nd ed.). London: Sage Publications. https://doi.org/10.4135/9781412983433

Mitrotasios, M., & Armatas, V. (2014). Analysis of goal scoring patterns in the 2012 european football championship. The Sport Journal, 1–11. https://doi.org/10.1057/9781137455062

Oliveira, S. R. M., Zaïane, O. R., & Saygin, Y. (2004). Secure association rule sharing. 8th Pacific-Asia Conference, PAKDD 2004, 74–85. Sydney: Pacific-Asia Conference on Knowledge Discovery and Data Mining. https://doi.org/10.1007/978-3-540-24775-3_10

Perarnau, M. (2016). Pep Guardiola: La Metamorfosis. Barcelona: Córner.

Sarmento, H., Marcelino, R., Anguera, M. T., Campaniço, J., Matos, N., & Leitão, J. C. (2014). Match analysis in football: a systematic review. Journal of Sports Sciences, 32(20), 1831–1843. https://doi.org/10.1080/02640414.2014.898852

Stanhope, J. (2001). An investigation into possession with respect to time in the Soccer World Cup 1994. In Mike Hughes (Ed.), Notational analysis of sport III (pp. 155–162). Cardiff: Centre for Performance Analysis, UWIC.

Taylor, B. J., Mellalieu, D. S., James, N., & Barter, P. (2010). Situation variable effects and tactical performance in professional association football. International Journal of Performance Analysis in Sport, 10(3), 255–269. https://doi.org/10.1080/24748668.2010.11868520

Tenga, A., Holme, I., Ronglan, L. T., & Bahr, R. (2010). Effect of playing tactics on achieving score-box possessions in a random series of team possessions from Norwegian professional soccer matches. Journal of Sports Sciences, 28(3), 245–255. https://doi.org/10.1080/02640410903502766

Tenga, A., & Larsen, Ø. (2003). Testing the validity of match analysis to describe playing styles in football. International Journal of Performance Analysis in Sport, 3(2), 90–102. https://doi.org/10.1080/24748668.2003.11868280

Vogelbein, M., Nopp, S., & Hökelmann, A. (2014). Defensive transition in soccer – are prompt possession regains a measure of success? A quantitative analysis of German Fußball-Bundesliga 2010/2011. Journal of Sports Sciences, 32(11), 1076–1083. https://doi.org/10.1080/02640414.2013.879671

Weiss, S. M., & Zhang, T. (2003). Performance Analysis and Evaluation. In N. Ye (Ed.), The handbook of data mining (pp. 425–440). New Jersey: Lawrence Eribaum Associates.

Weka. (2020). Documentação. Retrieved from http://www.cs.waikato.ac.nz/ml/weka.org/

Wilson, J. (2013). Inverting the Piyramid: The History of Football Tactics (2nd ed.). London: Orion.

Yang, L. (2005). Pruning and visualizing generalized association rules in parallel coordinates. IEEE Transactions on Knowledge and Data Engineering, 17(1), 60–70. https://doi.org/10.1109/TKDE.2005.14

Yi, Q., Gómez, M. A., Wang, L., Huang, G., Zhang, H., & Liu, H. (2019). Technical and physical match performance of teams in the 2018 FIFA World Cup: Effects of two different playing styles. Journal of Sports Sciences, 37(22), 2569–2577. https://doi.org/10.1080/02640414.2019.1648120

Zheng, Z., Kohavi, R., & Mason, L. (2001). Real world performance of association rule algorithms. Proceedings of the Seventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 401–406. New York: ACM. https://doi.org/10.1145/502512.

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Publicado

17/07/2021

Cómo citar

ROCHA-LIMA, E. . M. .; TERTULIANO, I. W.; FISCHER, C. N. . La influencia de la posesión del balón, los pases y los tiros a puerta para ganar partidos de fútbol de la liga premier. Research, Society and Development, [S. l.], v. 10, n. 8, p. e55110817824, 2021. DOI: 10.33448/rsd-v10i8.17824. Disponível em: https://rsdjournal.org/index.php/rsd/article/view/17824. Acesso em: 22 nov. 2024.

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Sección

Ciencias de la salud