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Sports Performance

The influence of match phase and field position on collective team behaviour in Australian Rules football

, , ORCID Icon, & ORCID Icon
Pages 1699-1707 | Accepted 29 Jan 2019, Published online: 05 Mar 2019

References

  • Akritas, M. G. (2004). Heteroscedastioc one-way ANOVA and lack-of-fit tests. Journal of the American Statistical Association, 99(466), 368–390.
  • Alexander, J. P., Spencer, B., Mara, J. K., & Robertson, S. (2018). Collective team behaviour of Australian Rules football during phases of match play. Journal of Sports Sciences, 1–7. Retrieved from: <<Go to ISI>://MEDLINE:29947584
  • Bartlett, R., Button, C., Robins, M., Dutt-Mazumder, A., & Kennedy, G. (2012). Analysing team coordination patterns from player movement trajectories in soccer: Methodological considerations. International Journal of Performance Analysis in Sport, 12(2), 398–424.
  • Bialkowski, A., Lucey, P., Carr, P., Yue, Y., & Matthews, I. (2014) “Win at home and draw away”: Automatic formation analysis highlighting the differences in home and away team behaviors. Paper presented at the 8th Annual MIT Sloan Sports Analytics Conference, Hynes Convention Center, Boston.
  • Brewer, C., Dawson, B., Heasman, J., Stewart, G., & Cormack, S. (2010). Movement pattern comparisons in elite (AFL) and sub-elite (WAFL) Australian football games using GPS. Journal of Science and Medicine in Sport, 13(6), 618–623. Retrieved from: <Go to ISI>: //MEDLINE:20434398
  • Castellano, J., Álvarez, D., Figueira, B., Coutinho, D., & Sampaio, J. (2013). Identifying the effects from the quality of opposition in a Football team positioning strategy. International Journal of Performance Analysis in Sport, 13(3), 822–832.
  • Castellano, J., & Casamichana, D. (2015). What are the differences between first and second divisions of Spanish football teams? International Journal of Performance Analysis in Sport, 15(1), 135–146.
  • Clemente, F., Couceiro, M., Martins, F., & Mendes, R. (2013a). An online tactical metrics applied to football game. Research Journal of Applied Sciences, Engineering and Technology, 5(5), 1700–1719.
  • Clemente, F., Couceiro, M., Martins, F., Mendes, R., & Figueiredo, J. (2013b). Measuring collective behaviour in football teams: Inspecting the impact of each half of the match on ball possession. International Journal of Performance Analysis in Sport, 13(3), 678–689.
  • Clemente, F., Sequeiros, J., Correia, A., Silva, F., & Martins, F. (2018). Brief review about computational metrics used in team sports. Springer.
  • Cohen, J. (1988). Statistical power analysis for the behavioral sciences. New York, NY: Routledge Academic.
  • Corbett, D. M., Bartlett, J. D., O’connor, F., Back, N., Torres-Ronda, L., & Robertson, S. (2018). Development of physical and skill training drill prescription systems for elite Australian Rules football. Science and Medicine in Football, 2(1), 51–57.
  • Corbett, D. M., Sweeting, A. J., & Robertson, S. (2017). Weak relationships between stint duration, physical and skilled match performance in Australian Football. Frontiers in Physiology, 8.
  • Couceiro, M., Clemente, F., Martins, F., & Machado, J. (2014). Dynamical stability and predictability of football players: The study of one match. Entropy, 16(2), 645–674.
  • Dwyer, D. B., & Gabbett, T. J. (2012). Global positioning system data analysis: Velocity ranges and a new definition of sprinting for field sport athletes. Journal of Strength and Conditioning Research, 26(3), 818–824. Retrieved from: <Go to ISI>://MEDLINE:22310509
  • Ensum, J., Pollard, R., & Taylor, S. (2004). Applications of logistic regression to shots at goal at association football: Calculation of shot probabilities, quantification of factors and player/team. Journal of Sports Sciences, 22(6), 500–520.
  • Folgado, H., Lemmink, K. A. P. M., Frencken, W., & Sampaio, J. (2014). Length, width and centroid distance as measures of teams tactical performance in youth football. European Journal of Sport Science, 14(Suppl 1), S487–S492. Retrieved from: <Go to ISI>://MEDLINE:24444244
  • Frencken, W., Lemmink, K., Delleman, N., & Visscher, C. (2011). Oscillations of centroid position and surface area of soccer teams in small-sided games. European Journal of Sport Science, 11(4), 215–223.
  • 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.
  • Goncalves, B., Marcelino, R., Torres-Ronda, L., Torrents, C., & Sampaio, J. (2016). Effects of emphasising opposition and cooperation on collective movement behaviour during football small-sided games. Journal of Sports Sciences, 34(14), 1346–1354. Retrieved from: http://www.ncbi.nlm.nih.gov/pubmed/26928336
  • Gray, A. J., & Jenkins, D. G. (2010). Match analysis and the physiological demands of Australian football. Sports Medicine (Auckland, N Z), 40(4), 347–360. Retrieved from: <Go to ISI>://MEDLINE:20364877
  • Lamas, L., Barrera, J., Otranto, G., & Ugrinowitsch, C. (2014). Invasion team sports: Strategy and match modeling. International Journal of Performance Analysis in Sport, 14(1), 307–329.
  • Lucey, P., Oliver, D., Carr, P., Roth, J., & Matthews, I. (2013). Assessing team strategy using spatiotemporal data. 19th ACM SIGKDD international conference on Knowledge discovery and data mining, Chicago.
  • Rein, R., & Memmert, D. (2016). Big data and tactical analysis in elite soccer: Future challenges and opportunities for sports science. Springerplus, 5(1), 1410. Retrieved from: http://www.ncbi.nlm.nih.gov/pubmed/27610328
  • Robertson, S., Gupta, R., & McIntosh, S. (2016). A method to assess the influence of individual player performance distribution on match outcome in team sports. Journal of Sports Sciences, 34(19), 1893–1900. Retrieved from: http://www.ncbi.nlm.nih.gov/pubmed/26853070
  • Sampaio, J., & Macas, V. (2012). Measuring tactical behaviour in football. International Journal of Sports Medicine, 33(5), 395–401. Retrieved from: <Go to ISI>://MEDLINE:22377947
  • Silva, P., Aguiar, P., Duarte, R., Davids, K., Araujo, D., & Garganta, J. (2014). Effects of pitch size and skill level on tactical behaviours of Association Football players during small-sided and conditioned games. International Journal of Sports Science & Coaching, 9(5), 993–1006.
  • Vilar, L., Araújo, D., Davids, K., & Bar-Yam, Y. (2013). Science of winning soccer: Emergent pattern-forming dynamics in association football. Journal of Systems Science and Complexity, 26(1), 73–84.
  • Vincent, W. J. (1999). Statistics in kinesiology (2nd ed.). Champaign.
  • Wisbey, B., Montgomery, P. G., Pyne, D. B., & Rattray, B. (2010). Quantifying movement demands of AFL football using GPS tracking. Journal of Science and Medicine in Sport, 13(5), 531–536. Retrieved from: <Go to ISI>://MEDLINE:19897414
  • Wright, C., Atkins, S., Polman, R., Jones, B., & 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.
  • Yue, Z., Broich, H., Seifriz, F., & Mester, J. (2008). Mathematical analysis of a soccer game. Part I: Individual and collective behaviors. Studies in Applied Mathematics, 121(3), 223–243.

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