Perturbation profile of elite football – a cross-sectional analysis of the goals and goal scoring opportunities immediately before and after goal scoring of the 1st German Bundesliga

References

• Benjamini, Y., & Hochberg, Y. (1995). Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing. Journal of the Royal Statistical Society, 57(1), 289–300. https://doi.org/10.2307/2346101
   Google Scholar
• Glazier, P. S. (2010). Game, set and match? Substantive issues and future directions in performance analysis. Sports Medicine, 40(8), 625–634. https://doi.org/10.2165/11534970-000000000-00000
   PubMed Web of Science ®Google Scholar
• González Rodenas, J., Aranda Malavés, R., Tudela-Desantes, A., Ramírez, E., Hervàs, J., & Aranda, R. (2019). Past, present and future of goal scoring analysis in professional soccer Pasado, presente y futuro del análisis de goles en el fútbol profesional. Retos: nuevas tendencias en educación física, deporte y recreación, 37, 726–737. https://doi.org/10.47197/retos.v37i37.69837
   Google Scholar
• Hughes, M., Dawkins, N., David, R., & Mills, J. (1998). Part II: Interdisciplinary. Journal of Sports Sciences, 16(1), 14–25. https://doi.org/10.1080/026404198366939
   Google Scholar
• Hughes, M., Landridge, C., & Dawkins, N. (2001). Perturbations leading to shooting in soccer. In M. Hughes & F. Tavares (Eds.), Notational analysis of sport IV (pp. 23–33). UWIC.
   Google Scholar
• Hughes, M., & Reed, D. (2007). Creating performance profiles using perturbations. Ed. Alberta, Canada: 6Th Symposium IACSS.
   Google Scholar
• 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(1), 85–103. https://doi.org/10.1080/24748668.2002.11868263
   Google Scholar
• James, N. (2006). The role of notational analysis in soccer coaching. International Journal of Sports Science & Coaching, 1(2), 185–198. https://doi.org/10.1260/174795406777641294
   Google Scholar
• James, N., Rees, G., Griffin, E., Barter, P., Taylor, J., Heath, L., & Vučković, G. (2012). Analysing soccer using perturbation attempts. Journal of Human Sport and Exercise, 7(2), 413–420. https://doi.org/10.4100/jhse.2012.72.07
   Google Scholar
• Jaschinski-Kruza, W. (1988). Visual strain during VDU work: The effect of viewing distance and dark focus. Ergonomics, 31(10), 1449–1465. https://doi.org/10.1080/00140138808966788
   PubMed Web of Science ®Google Scholar
• Jörg, D., & Lames, M. (2009). Perturbationen im Tennis – Beobachtbarkeit und Stabilität. In M. Lames, C. Augste, O. Cordes, C. Dreckmann, K. Görsdorf, & M. Siegle (Eds.), Gegenstand und Anwendungsfelder der Sportinformatik (pp. 86–89). Czwalina.
   Google Scholar
• Kim, J., James, N., Parmar, N., Ali, B., & Vučković, G. (2019a). Determining unstable game states to aid the identification of perturbations in football. International Journal of Performance Analysis in Sport, 19(3), 302–312. https://doi.org/10.1080/24748668.2019.1602439
   Web of Science ®Google Scholar
• Kim, J., James, N., Parmar, N., Ali, B., & Vučković, G. (2019b). The attacking process in football: A taxonomy for classifying how teams create goal scoring opportunities using a case study of crystal palace FC. Frontier in Psychology, 19(10), 1–8. https://doi.org/10.3389/fpsyg.2019.02202
   Google Scholar
• Lames, M., & McGarry, T. (2007). On the search for reliable performance indicators in game sports. International Journal of Performance Analysis in Sport, 7(1), 62–79. https://doi.org/10.1080/24748668.2007.11868388
   Google Scholar
• Landis, J. R., & Koch, G. G. (1977). The measurement of observer agreement for categorical data. Biometrics, 33(1), 159–174. https://doi.org/10.2307/2529310
   PubMed Web of Science ®Google Scholar
• Link, D., Lang, S., Seidenschwarz, P., & Amaral, L. A. N. (2016). Real time quantification of dangerousity in football using spatiotemporal tracking data. PLoS ONE, 11(12), 1–16. https://doi.org/10.1371/journal.pone.0168768
   Web of Science ®Google Scholar
• 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. https://doi.org/10.1080/02640414.2012.746720
   PubMed Web of Science ®Google Scholar
• McGarry, T., Khan, M., & Franks, I. (1999). On the presence and absence of behavioural traits in sport: An example from championship squash match-play. Journal of Sports Sciences, 17(4), 297–311. https://doi.org/10.1080/026404199366019
   PubMed Web of Science ®Google Scholar
• McGarry, T., Anderson, D., Wallace, S., Hughes, M., & Franks, I. (2002). Sport competition as a dynamical self-organizing system. Journal of Sports Sciences, 20(10), 771–781. https://doi.org/10.1080/026404102320675620
   PubMed Web of Science ®Google Scholar
• Murray, S., Howells, M., Hurst, L., Hughes, M. T., Hughes, M. D., & James, N. (2008). Using perturbations in elite men’s squash to generate performance profiles. In A. Hoekelmann & M. Brummond (Eds.), Performance analysis of sport VIII (pp. 09–115). School of Sport, Otto von Guericke Universität.
   Google Scholar
• Nopp, S. (2012). Direkt- versus Ballbesitzspiel – Erfolgreiche mannschaftstaktische Angriffsdeterminanten auf nationalem und internationalem Niveau im Sportspiel Fußball. Dissertation, Deutsche Sporthochschule Köln.
   Google Scholar
• O’Donoghue, P. G. (2010). Research methods for sports performance analysis. Routledge.
   Google Scholar
• Redwood-Brown, A. (2008). Passing patterns before and after goal scoring in FA premier league soccer. International Journal of Performance Analysis in Sport, 8(3), 172–182. https://doi.org/10.1080/24748668.2008.11868458
   Google Scholar
• Reed, D., & Hughes, M. (2006). An Exploration of Team Sport as a Dynamical System. International Journal of Performance Analysis in Sport, 6(2), 114–125. https://doi.org/10.1080/24748668.2006.11868377
   Google Scholar
• Ridgewell, A. (2011). Passing patterns before and after scoring in the 2010 FIFA world cup. International Journal of Performance Analysis in Sport, 11(3), 562–574. https://doi.org/10.1080/24748668.2011.11868574
   Web of Science ®Google Scholar
• Roddy, R., Lamb, K., & Worsfold, P. (2014). The importance of perturbations in elite squash: An analysis of their ability to successfully predict rally outcome. International Journal of Performance Analysis in Sport, 14(3), 652–679. https://doi.org/10.1080/24748668.2014.11868750
   Web of Science ®Google Scholar
• 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
   PubMed Web of Science ®Google Scholar
• Schmalhofer, A. (2015). Perturbationsprofile im Nachwuchsleistungsfußball. Technische Universität München].
   Google Scholar
• Wright, C., Sargeson, L., Sargeson, L., & Sargeson, L. (2011). Factors associated with goals and goal scoring opportunities in professional soccer. International Journal of Performance Analysis in Sport, 11(3), 438–449. https://doi.org/10.1080/24748668.2011.11868563
   Web of Science ®Google Scholar