983
Views
25
CrossRef citations to date
0
Altmetric
Sports Performance

Collective team behaviour of Australian Rules football during phases of match play

, , & ORCID Icon
Pages 237-243 | Accepted 12 Jun 2018, Published online: 27 Jun 2018

References

  • Akritas, M. G. (2004). Heteroscedastioc one-way ANOVA and lack-of-fit tests. Journal of the American Statistical Association, 99(466), 368–390.
  • 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.
  • 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, M., 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. M., Couceiro, M. S., Martins, F. M., Mendes, R., & Figueiredo, A. J. (2013c). Measuring tactical behaviour using technological metrics: Case study of a football game. International Journal of Sports Science & Coaching, 8(4), 723–739.
  • Cohen, J. (1988). Statistical power analysis for the behavioral sciences. New York: Routledge Academic.
  • Duarte, R., Araujo, D., Correia, V., & Davids, K. (2012). Sports teams as superorganisms: Implications of sociobiological models of behaviour for research and practice in team sports performance analysis. Sports Medicine (Auckland, N Z), 42(8), 633–642. Retrieved from <Go to ISI>://MEDLINE:22715927.
  • 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), S487–492. 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.
  • 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.
  • Grehaigne, J. F., Bouthier, D., & David, B. (1997). Dynamic-system analysis of opponent relationships in collective actions in soccer. Journal of Sports Sciences, 15(2), 137–149. Retrieved from <Go to ISI>://MEDLINE:9258844.
  • Hughes, M., & Franks, I. (2005). Analysis of passing sequences, shots and goals in soccer. Journal of Sports Sciences, 23(5), 509–514. Retrieved from <Go to ISI>://MEDLINE:16194998.
  • Johnston, R. J., Watsford, M. L., Kelly, S. J., Pine, M. J., & Spurrs, R. W. (2014). Validity and interunit reliability of 10 Hz and 15 Hz GPS units for assessing athlete movement demands. Journal of Strength and Conditioning Research / National Strength & Conditioning Association, 28(6), 1649–1655.
  • 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. Retrieved from <Go to ISI>://MEDLINE:19757296.
  • Liu, H., Gomez, M.-A., Lago-Penas, C., & Sampaio, J. (2015). Match statistics related to winning in the group stage of 2014 Brazil FIFA world cup. Journal of Sports Sciences, 33(12), 1205–1213. Retrieved from <Go to ISI>://MEDLINE:25793661.
  • Memmert, D., Lemmink, K. A., & Sampaio, J. (2017). Current approaches to tactical performance analyses in soccer using position data. Sports Medicine (Auckland, N.Z.), 47(1), 1–10.
  • Olthof, S. B. H., Frencken, W. G. P., & Lemmink, K. A. P. M. (2015). The older, the wider: On-field tactical behavior of elite-standard youth soccer players in small-sided games. Human Movement Science, 41, 92–102. Retrieved from <Go to ISI>://MEDLINE:25769114.
  • Rein, R., & Memmert, D. (2016). Big data and tactical analysis in elite soccer: Future challenges and opportunities for sports science. Springerplus, 5(1), 1410.
  • Travassos, B., Davids, K., Araújo, D., & Esteves, P. T. (2013). Performance analysis in team sports: Advances from an ecological dynamics approach. International Journal of Performance Analysis in Sport, 13(1), 83–95.
  • Varley, M. C., Fairweather, I. H., & Aughey, R. J. (2012). Validity and reliability of GPS for measuring instantaneous velocity during acceleration, deceleration, and constant motion. Journal of Sports Sciences, 30(2), 121–127. Retrieved from <Go to ISI>://MEDLINE:22122431.
  • 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.
  • Vilar, L., Araujo, D., Davids, K., & Button, C. (2012). The role of ecological dynamics in analysing performance in team sports. Sports Medicine (Auckland, N Z), 42(1), 1–10. Retrieved from <Go to ISI>://MEDLINE:22149695.
  • Vincent, W. J. (1999). Statistics in kinesiology (2nd ed.). Champaign, IL: Human Kinetics.
  • Vogelbein, M., Nopp, S., & Hokelmann, 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.
  • 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.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.