Offensive performance in soccer through lag sequential analysis: The case of a team in the Spanish Second Division-A
DOI:
https://doi.org/10.14198/jhse.2018.13.Proc2.12Keywords:
Observational analysis, Soccer, Sequential analysis, Offensive performanceAbstract
Evaluamos el juego de ataque de un equipo de fútbol español de Segunda División-A (10 partidos de liga). El método observacional de Lag Sequential Analysisfue utilizado, con categorías exhaustivas mutuamente excluyentes basadas en criterios establecidos. Desde una perspectiva retrospectiva, se detectaron valores de longitud promedio para los patrones de los jugadores LW, RMIF y GK (max-lag = -3); abreviatura de LMIF (max-lag = -1), LI y LC (max-lag = -2) y largo para FOR (max-lag = -5) y LB, RC y RW (max-lag = -4). La perspectiva prospectiva reveló longitudes medias para RB, RC e IC (max-lag = 3) y abreviatura para GK, RMFI y FOR (max-lag = 2). Los patrones largos corresponden a los jugadores SSTR, RW, LW y LB (max-lag = 4) y MCI (max-lag = 5). Las mayores relaciones entre los jugadores, en ambas perspectivas, se generaron entre los laterales (RB y LB) y los extremos de su lado (RW y LW). Para los centrales (RC y LC), las relaciones de prioridad son con los otros jugadores defensivos en su equipo. Los centrocampistas (RMIF y LMIF) no mostraron bifurcaciones, complementando entre sí, ya que cuando uno actúa en la perspectiva retrospectiva, su compañero lo hace en perspectiva. Se observó que las posibilidades de ganar crecen a medida que aumenta el número de disparos a la portería o aumentan las posibilidades de perder. Confirmamos que Lag Sequential Analysis brinda información detallada y útil sobre el juego de ataque en el fútbol.
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References
Anguera, M.T. (1990). Metodología observacional. In J. Arnau, M. T. Anguera and J., Gómez Benito. Metodología de la investigación en ciencias del comportamiento. 125-236. Murcia: Universidad de Murcia.
Anguera, M.T. and Blanco, A. (2003). Registro y codificación en el comportamiento deportivo. En A. Hernández Mendo, Revista de Psicología del Deporte (Vol. 2) Metodología 6-34.
Anguera, M.T., Blanco-Vilaseñor, A., Hernández Mendo, A. and Losada, J.L. (2014). Diseños Observacionales: Ajuste y aplicación en psicología del deporte. Cuadernos de psicología del deporte, 11(2), 63-76.
Anguera, M.T. and Hernández-Mendo, A. (2015). Técnicas de análisis en estudios observacionales en ciencias del deporte. Cuadernos de Psicología del Deporte, 15(1), 13-30. https://doi.org/10.4321/S1578-84232015000100002
Araujo D., Duarte R., Davids, K. and Hristovski, R. (2006). The ecological dynamics of decision making in sport. Psychology of Sport and Exercise. Volume 7, Issue 6, November 653-676. https://doi.org/10.1016/j.psychsport.2006.07.002
Armatas, V; Yannakos, A; Zaggelidis, G, Skoufas, D; Papadopoulou, S. and Fragkos, N. (2009). Journal of Physical Education and Sport, 23(2), 1-5.
Arriaza, J.E. and Zuñiga, D.M. (2016). Soccer as a Study Case for Analytic Trends in Collective Sports Training: A Survey. International Journal of Performance Analysis in Sport, 16(1), 171-190. https://doi.org/10.1080/24748668.2016.11868879
Bakeman, R. and Gottman, J.M. (1997). Observing interaction: An introduction to sequential analysis. Cambridge University Press. https://doi.org/10.1017/CBO9780511527685
Barreira, D., Garganta, J., Castellano, J., Prudente, J. and Anguera, M.T. (2014). Evolución del ataque en el fútbol de élite entre 1982 y 2010: Aplicación del análisis secuencial de retardos. Revista de Psicología del Deporte, 23(1), 139-146.
Barreira, D., Ribeiro, R., Garganta, J. and Anguera, M. T. (2010). Attacking Game-Patterns in Soccer. A Sequential analysis of European Championship 2008. Paper presented at the IV European Congress of Methodology: EAM-SMABS 2010, Potsdam, Germany.
Bishovets, A., Gadjiev, G. and Godik, M. (1993). Computer Analysis of effectiveness of collective technical and tactical moves of footballers in the matches of 1998 Olympics and 1990 World Cup. En T. Reilly, J. Clarys, and A. Stibbe, Science and Football II (pp. 232-238). London: E and F Spon.
Blanco-Villaseñor, A. and Anguera, M. T. (2003). Calidad de los datos registrados en el ámbito deportivo. In Hernández Mendo, Psicología del Deporte: Volumen II. Metodología (págs. 35- 73). Buenos Aires: Tulio Guterman.
Bloomfield, J., Remco, P. and O'Donoghue, P. (2007). Physical Demands of Different Positions in FA Premier League Soccer. Journal Sports Science and Medicine. Mar; 6(1): 63–70.
Bojinov, I. and Bornn, L. (2016) The pressing game: optimal defensive disruption in soccer. http://www.sloansportsconference.com/content/the-pressing-game-optimal- defensive-disruption-in-soccer/
Buraczewski, T. and Cicirko, L. (2011). The differences in the effectiveness of football game between the best teams in XII European Championship in 2008. Book of abstracts of the 7th World Congress on Science and Football. Japan: Nagoya.
Carling, C. (2010). Analysis of physical activity profiles when running with the ball in a professional soccer team. Eur J of Sport Sci, 28 (3), 319-326. https://doi.org/10.1080/02640410903473851
Casáis, L., Lago, C., Lago, J., Iglesias, S. and Gómez M. (2011). Indicadores de rendimiento competitivo que diferencian ganadores y perdedores de la liga española. Fútbol pf: Revista de Preparación física en el fútbol. No. 2.
Castelo, J. (1994). Futebol. Modelo tecnico-táctico do jogo. Lisboa: Ediçoes FMH.
Castellano, J. and Hernández-Mendo, A. (2000). Análisis secuencial en el fútbol de rendimiento. Psicothema, 12(2), 117-121.
Castellano, J., Perea, A., Alday, L. and Hernández-Mendo, A. (2008). The measuring and observation tool in sports. Behavior Research Methods, 40(3), 898-905. https://doi.org/10.3758/BRM.40.3.898
Clemente, F., Martins, F., Wong, D., Kalamaras, D. and Mendes, R. (2015). Midfielder as the prominent participant in the building attack: a network analysis of national teams in FIFA World Cup 2014. Int. J. Peform. Anal. Sport 15, 704–722. https://doi.org/10.1080/24748668.2015.11868825
Cohen, J. (1960). A coefficient of agreement for nominal scales. Educational and Psychological Measurement, 41, 687-699. https://doi.org/10.1177/001316446002000104
Couceiro, M.S., Clemente, F.M., Martins, F.M. and Machado, J.A. T. (2014). Dynamical stability and predictability of football players: the study of one match. Entropy, 16(2), 645-674. https://doi.org/10.3390/e16020645
De Saá-Guerra, Y.D., Martín-González, J.M., Arjonilla, N., Sarmiento, S., Rodríguez-Ruiz, D. and García-Manso, J.M. 2013. Analysis of competitiveness in the NBA regular seasons. Ugdymas, Kûno Kultûra, Sportas, 1(80), 17-21.
Duarte, R., Araújo, D., Folgado, H., Esteves, P., Marques, P. and Davids, K. (2013). Capturing complex, non-linear team behaviours during competitive football performance. Journal of Systems Science and Complexity, 26(1), 62-72. https://doi.org/10.1007/s11424-013-2290-3
Duch, J., Waitzman, J. and Amaral L. (2010). Quantifying the performance of Individual Players in a Team Activity. PloS ONE, Vol 5(6) https://doi.org/10.1371/journal.pone.0010937
Gabín, B., Camerino, O., Anguera, M.T. and Castañer, M. (2012). Lince multiplatform sport Analysis software. Procedia - Social and Behavioral Sciences (46), 4692-4694. https://doi.org/10.1016/j.sbspro.2012.06.320
Garganta, J. (1997). Modelaçao táctica do jogo de futebol. Estudio da organizaçao da fase ofensiva em equipos de alto rendimento. Universidad do Porto, Porto, Portugal.
Garganta, J. (2000). Análisis del juego en el fútbol. El recorrido evolutivo de las concepciones, métodos e instrumentos. Revista de entrenamiento deportivo, XIV (2), 6-13.
Garganta, J. (2009). Trends of tactical performance analysis in team sports: bridging the gap between research, training and competition. Revista Portuguesa de Ciências do Desporto, 9(1), 81-89. https://doi.org/10.5628/rpcd.09.01.81
Gómez M. and Álvaro, J. (2003). El tiempo de posesión como variable no determinante del resultado en los partidos de fútbol. El Entrenador Español, 97, 39-5.
Grant, A., Williams, M., Reilly, T. and Borrie, A. (1998). Analysis of the Successful and Unsuccessful Teams in the 1998 World Cup. Insight (FA Coaches), 2 (1), 21-24.
Gréhaigne, J.F. (2001). La organización del juego en el fútbol. Barcelona: INDE.
Griffiths, D. (1999). An analysis of France and their opponents at the 1998 Soccer World Cup with specific reference to playing patterns. (unpublished doctoral thesis), University of Wales Institute Cardiff, Cardiff, Wales.
Gyarmati, L., Kwak, H. and Rodriguez, P. (2014). Searching for a Unique Style in Soccin Proceedings of the 2014 KDD Workshop on Large-Scale Sports Analytics. arXiv: 1409.0308.er.
Hughes, M. and Churchill, S. (2005). Attacking profiles of successful and unsuccessful team in Copa América 2001. In T. Reilly, J. Cabri, and D. Araújo, Science and Football V (pp. 219-224). London: Routledge.
Kannekens, R., Elferink-Gemser, M. and Visscher, C. (2010). Positioning and deciding: key factors for talent development in soccer. Scand. J. Med. Sci. Sports 21, 846–852. https://doi.org/10.1111/j.1600-0838.2010.01104.x
Kent, R. and Foster, S. (1977). Direct observation procedures: methodological issues in naturalist settings. En A. Ciminero, D. Calhovn and Adams, Handbook of Behavioural Assessment. (279-328). New York: John Wiley and Sons.
Lago, C. (2008). El análisis del rendimiento en los deportes de equipo. Algunas consideraciones metodológicas. Acción Motriz (1), 41-58.
Lames, M. and McGarry, T. (2007). On the search for reliable performance indicators in game sports. Int. J. Perform. Anal. Sport, 7, 62–79. https://doi.org/10.1080/24748668.2007.11868388
Landis, J. and Koch, G. (1977). The measurement of observer agreement for categorical data. Biometrics, 33, 159-174. https://doi.org/10.2307/2529310
Machado, J., Barreira, D. and Garganta, J. (2011). Attacking game-patterns in Soccer. A sequential analysis of the World Cup 2010 winner team. In M. Hughes, H. Dancs, K. Nagyváradi, T.
Maneiro-Dios and Amatria, M. (2018). Polar Coordinate Analysis of Relationships With Team-mates, Areas of the Pitch, and Dynamic Play in Soccer: A Study of Xabi Alonso.
Martín González, J.M., Díaz Díaz, R., Ramos Verde, E., Arriaga Ardales, E., da Silva Grigoletto, M. and García Manso, J.M. (2017). Topological properties and dynamics of nets game shown by France and Portugal in the final of European soccer cup 2016. Motricidade 13 (S1), 101-112.
Maya Jariego, I., and Bohórquez, M.R. (2013). Análisis de las redes de distribución de balón en fútbol: pases de juego y pases de adaptación. REDES - Revista hispana para el análisis de redes sociales 24 (2), 135-155.
Pena, J.L. and Touchette, H. (2012). A network theory analysis of football strategies. Ar Xiv: 1206.6904.
Perea, A. (2008). Análisis de las acciones colectivas en el fútbol de rendimiento. Doctoral Thesis: Universidad del País Vasco.
Quera, V., Bakeman, R. and Gnisci, A. (2007). Observer agreement for event sequences: Methods and software for sequence alignment and reliability estimates. Behavior Research Methods 39 (1), 39-49. https://doi.org/10.3758/BF03192842
Robles, F. (2012). Observación y análisis de las acciones ofensivas de la selección de fútbol en la Eurocopa y el Mundial de 2010. Doctoral Thesis: Vitoria Gasteiz.
Robles, F. and Castellano, J. (2012). Comparación entre el juego ofensivo de la selección española de fútbol y sus rivales en la Eurocopa 20808 y mundial. Revista Iberoamericana de psicología del ejercicio y el deporte. Vol.7, no. 2 pp. 323-338.
Sánchez Flores, J. (2014). Análisis del desarrollo del juego de fútbol 11, desde la perspectiva de los sistemas complejos. Doctoral Thesis: Universidad de Las Palmas de Gran Canaria.
Silva, A., Sánchez Bañuelos, F., Garganta, J. and Anguera, M.T. (2005). Patrones de juego en el fútbol de alto rendimiento. Análisis secuencial del proceso ofensivo en el campeonato del mundo Corea-Japón 2002. Cultura, Ciencia y Deporte, 1(2): 65-72.
Stein, M., Janetzko, H., Seebacher, D., Jäger, A., Nagel, M., Hölsch, J., Kosub, S., Schrek, T., Keim, D.A. and Grossniklaus, M. (2017). How to make sense of team sport data: From acquisition to data modeling and research aspects. Data, 2(1), https://doi.org/10.3390/data2010002
Stöckl, M., Plück, D. and Lames L. (2017). Modelling game sports as complex systems – application of recurrence analysis to golf and soccer. Mathematical and Computer Modelling of Dynamical Systems, 23(4), 399-415. https://doi.org/10.1080/13873954.2017.1336635
Szwarc, A. (2004). Effectiveness of Brazilian and German teams and the teams defeated by them during the 17th FIFA World Cup. Kinesiology, 36 (1), 83‐89.
Teixeira, L., Dalton L., Guimarães R., Cavalcanti, S. (2011). Leg Preference and Interlateral Asymmetry of Balance Stability in Soccer Players. Research Quaterly for Exercise and Sport. 82(1), 21-27. https://doi.org/10.1080/02701367.2011.10599718
Yamanaka, K., Hughes, M. and Lott, M. (1993). An analysis of playing patters in the 1990 World Cup for association football. In J. Reilly, J. Clarys, and A. Stibbe (Edits.), Science and Football II (pp. 206-214). London: E and FN Spon.
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