The ball recovery as an action related performance indicator in Football – an example using distinct operational definitions

  1. Pedro Santos 2
  2. Pedro Miguel Silva 1
  3. Carlos Lago Peñas 2
  1. 1 Universidade Do Porto
    info

    Universidade Do Porto

    Oporto, Portugal

    ROR https://ror.org/043pwc612

  2. 2 Universidade de Vigo
    info

    Universidade de Vigo

    Vigo, España

    ROR https://ror.org/05rdf8595

Revista:
Journal of Human Sport and Exercise: JHSE

ISSN: 1988-5202

Ano de publicación: 2017

Volume: 12

Número: 1

Páxinas: 96-105

Tipo: Artigo

DOI: 10.14198/JHSE.2017.121.08 DIALNET GOOGLE SCHOLAR lock_openRUA editor

Outras publicacións en: Journal of Human Sport and Exercise: JHSE

Resumo

The aim of the study was to demonstrate the impact of different operational definitions (definition 1 – Amisco; definition 2 – Garganta, 1997; definition 3 – Garganta, 1997, adapted) over the frequency and location of ball recovery, and provide bases to select the most useful definition to an intended analysis. The sample is the first half of twelve matches from the Spanish soccer league. Matches were registered using AMISCO®. Data were examined using Cochran’s Q test and Kruskal-Wallis test. Results showed that the frequency and location of ball recovery differ depending on the operational definition used. Definitions 1, 2 and 3 identified 909, 272 and 310 ball recoveries, respectively (p< 0.001 for all pairs of comparisons). The median distance from the goal to the location of ball recovery was, in meters, 40.0 (35.7) using definition 1, 32.2 (34.8) using definition 2 and 32.7 (34.3) when definition 3 was used (p<0.001 for comparisons between definition 1 and 2, and definition 1 and 3). The operational definitions impact in match analysis and consequently in the interpretation of the play. The criteria used should incorporate an instrumental selectivity that points to the purposes of the assessment. Concerning the frequency, definition 1 is the most glade, and definition 2 the most restrictive. Regarding the location, there were no significant differences between definition 2 and 3. Definition 2 allows to gain suitable and meaningful comparisons as previous studies has already based on it. Despite the differences, both definition 1 and 2 have a practical value. Ultimately, it is important to verify if the measurement instrument satisfies the logical intentions of the observational system.

€ Ver financiamento

Información de financiamento

This work was supported by the Spain Ministry of Science and Innovation (DEP2016-75785-R)

Financiadores

Referencias bibliográficas

  • 1. Almeida, C., 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, 203-2014.
  • 2. Armatas, V., Yiannakos, A., Zaggelidis, G., Skoufas, D., Papadopoulou, S., & Fragkos, N. (2009). Differences in offensive actions between top and last teams in greek first soccer division. A retrospective study 1998-2008. Journal of Physical Education and Sport, 23(2), 1-5.
  • 3. Barreira, D., Garganta, J., Guimarães, P., Machado, J., & Anguera, M. (2014). Ball recovery patterns as a performance indicator in elite soccer. Proceedings of the Institution of Mechanical Engineers Part P Journal of Sports Engineering and Technology, 228(I), 61-72.
  • 4. Bradley, P., 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.
  • 5. Carling, C., Bloomfield, J., Nelsen, L., & Reilly, T. (2008). The Role of Motion Analysis in Elite Soccer: Contemporary Performance Measurement Techniques and Work Rate Data. Sports Medicine, 38(10), 839-862.
  • 6. Carling, C., Wright, C., Nelson, L., & Bradley, P. (2014). Comment on ‘Perfo rmance analysis in football: A critical review and implications for future research’. Journal of Sports Sciences, 32(1), 27.
  • 7. Castellano, J. (2000). Observación y análisis de la acción de juego en el Fútbol. Dissertação de Doutoramento, Universidad del País Vasco, Vitoria-Gasteiz.
  • 8. Castellano, J., Blanco-Villaseñor, A., & Álvarez, D. (2011). Contextual Variables and time-motion analysis in soccer. International Journal of Sports Medicine, 32(6), 415-421.
  • 9. Castelo, J. (1994). Futebol. Modelo técnico-táctico do jogo. Identificação e caracterização das grandes tendências evolutivas das equipas de rendimento superior. Lisboa: Faculade de Motricidade Humana.
  • 10. Di Salvo, V., Collins, A., McNeill, B., & Cardinale, M. (2006). Validation of Prozone®: A new videobased performance analysis system. International Journal of Performance Analysis in Sport, 6(1), 108-109.
  • 11. Di Salvo, V., Gregson, W., Atkinson, G., Tordoff, P., & Drust, B. (2009). Analysis of High Intensity Activity in Premier League Soccer. International Journal of Sports Medicine, 30(3), 205-212.
  • 12. Garganta, J. (1997). Modelação táctica do jogo de futebol estudo da organização da fase ofensiva em equipas de alto rendimento. Dissertação de Doutoramento, FADEUP, Porto.
  • 13. Gréhaigne, J., Marchal, D., & Duprat, E. (2002). Regaining possession of the ball in the defensive area in soccer. In W. Spinks, T. Reilly & A. Murphy (Eds.), Science and Football IV (pp. 112-120). London: E & FN Spon.
  • 14. Harrop, K., & Nevill, A. (2014). Performance indicators that predict success English professional League One soccer team. Intemational Joumal of Perfonnance Analysis in Sport, 14(3), 907-920.
  • 15. Hughes, M., & Bartlett, R. (2002). The use of performance indicators in performance analysis. Journal of Sports Sciences, 20, 739-754.
  • 16. Hughes, M., & Churchill, S. (2005). Attacking profiles of successful and unsuccessful teams in Copa America 2001. In Thomas Reilly, Jan Cabri & D. Araújo (Eds.), Science and Football V (pp. 222228). London: Routledge.
  • 17. Hughes, M., Evans, S., & Wells, J. (2001). Establishing normative profiles in performance analysis. International Journal of Performance Analysis in Sport, 1, 1-26.
  • 18. Hughes, M., & Franks, I. (2004). Sports analysis. In M. Hughes & I. M. Franks (Eds.), Notational Analysis of Sport. (Second Edition ed., pp. 107-117). London: Routledge.
  • 19. James, N. (2006a). Notational analysis in soccer: past, present and future. International Journal of Performance Analysis of Sport, 6(2), 67-81.
  • 20. James, N. (2006b). The role of notational analysis in soccer coaching. International Journal of Sports Science & Coaching, 1(2), 185-198.
  • 21. James, N., Mellalieu, S. D., & Hollely, C. (2002). Analysis of strategies in soccer as a function of European and domestic competition. International Journal of Performance Analysis in Sport, 2, 85-103.
  • 22. Lago-Ballesteros, J. (2011). Influencia de los codicionantes estratégicos e las variables situacionales en el rendimiento de la fase ofensiva en futbol. Dissertação de Doutoramento, Universidade de Vigo, Facultad de Ciencias de la Educación y del Deporte, Pontevedra.
  • 23. 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.
  • 24. 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. Jounal of Human Kinetics, 25, 93-100.
  • 25. Lago-Peñas, C., & Lago-Ballesteros, J. (2011). Game location and team quality effects on performance profiles in professional soccer. Journal of Sports Science & Medicine, 10(3), 465-471.
  • 26. Lago-Peñas, C., Rey, E., Lago-Ballesteros, J., Casáis, L., & Domínguez, E. (2011). The Influence of a Congested Calendar on Physical Performance in Elite Soccer. The Journal of Strength & Conditioning Research, 25(8), 211-217.
  • 27. Lago, C. (2009). The influence of match location, quality of opposition, and match status on possession strategies in professional association football. Journal of Sports Sciences, 27(13), 1463-1469.
  • 28. Lago, C., Casáis, L., Domínguez, E., & Sampaio, J. (2010). The effects of situational variables on distance covered at various speeds in elite soccer. European Journal of Sport Science, 10(2), 103-109.
  • 29. Lames, M., & Hansen, G. (2001). Designing observational systems to support top -level teams in game sports. International Journal of Performance Analysis in Sport, 1, 83-90.
  • 30. Mackenzie, R., & Cushion, C. (2013). Performance analysis in football: A critical review and implications for future research. Journal of Sports Sciences, 31(6), 639-676.
  • 31. Mombaerts, E. (2000). Fútbol. Del análisis del juego a la formación del jugador. Barcelona: INDE Publications.
  • 32. Pollard, R., & Reep, C. (1997). Measuring the Effectiveness of Playing Strategies at Soccer. Journal of the Royal Statistical Society. Series D (The Statistician), 46(4), 541-550.
  • 33. Randers, M., Mujika, I., Hewitt, A., Santisteban, J., Bischoff, R., Solano, R., . . . Mohr, M. (2010). Application of four different football match analysis systems: A comparative study. Journal of Sports Sciences, 28(2), 171 182.
  • 34. Redwood-Brown, A., Bussell, C., & Bharaj, H. (2012). The impact of different standards of opponents on observed player performance in the English Premier League. Journal of Human Sport & Exercise, 7(2), 341-355.
  • 35. Santos, P. (2012). A influência das variáveis situacionais no comportamento posicional de uma equipa profissional de futebol no instante de recuperação da posse da bola. Um estudo de caso. Dissertação de Doutoramento, Facultad de Ciencias de la Educación y del Deporte da Universidade de Vigo, Pontevedra.
  • 36. Sarmento, H., Marcelino, R., Anguera, M., CampaniÇo, J., Matos, N., & Leitão, J. (2014). Match analysis in football: a systematic review. Journal of Sports Sciences, 32(20), 1831-1843.
  • 37. Silva, A., Bañuelos, F., Garganta, J., & Anguera, M. (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.
  • 38. Taylor, J., Mellalieu, S., & James, N. (2004). Behavioural comparisons of positional demands in professional soccer. International Journal of Performance Analysis in Sport, 4(1), 81-97.
  • 39. Taylor, J., Mellalieu, S., James, N., & Barter, P. (2010). Situation variable effects and tactical performance in professional association football. International Journal of Performance Analysis in Sport, 10, 255-269.
  • 40. Taylor, J., Mellalieu, S., James, N., & Shearer, D. (2008). The influence of match location, quality of opposition, and match status on technical performance in professional association football. Journal of Sports Sciences, 26(9), 885-895.
  • 41. 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.
  • 42. Tucker, W., Mellalieu, S., James, N., & Taylor, J. (2005). Game Location Effects in Professional Soccer: A Case Study. International Journal of Performance Analysis in Sport, 5, 23-35.
  • 43. 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.
  • 44. Williams, J. (2012). Operational definitions in performance analysis and the need for consensus. International Journal of Performance Analysis in Sport, 12(1), 52-63.
  • 45. Zubillaga, A., Gorospe, G., Mendo, A., & Vilasenor, A. (2007). Match analysis of 2005-06 Champions League Final with Amisco system. Journal of Sports Science & Medicine, 6(Suppl.10), 20.
Fonte de datos: Dialnet