Adaptive collective behavior of the Portuguese national team players in the 2016 European Football Championship
Abstract
Objective: In collective sports, one of the key aspects of the training that, albeit still evolving, requires a higher degree of research to operationalize it for coaches, is the tactical analysis of competitive performance. This study had the objective to test the properties of "de-generative" networks of the Portugal national football team, i.e., to identify patterns of players' interactions during the 2016 UEFA European Championship, commonly referred to as - Euro 2016. Methodology: A methodology based in "de-generative" networks was implemented, operationalized through digraphs (oriented graphs). Results: The obtained results allow to conclude that the proposed methodology provides the coach with an identification of the key trends of tactical analysis of the team and its adaptability to the opposing team. Conclusion: Within the multiple practical applications, this study allows to identify the players which interact the most with their peers and the most preponderant to keep the ball moving throughout the team, and how such flow of interactions is related with success.
References
-Araújo, D.; Davids, K. Team synergies in sport: Theory and measures. Frontiers in Psychology. Vol. 7. p. 1449. 2016.
-Araújo, D.; Silva, P.; Davids, K. Capturing group tactical behaviors in expert team players. In Routledge Handbook of Sport Expertise. Eds. J. Baker;D. Farrow. (London: Routledge). p. 209-220. 2015.
-Barabási, A.L.; Albert, R. Emergence of Scaling in Random Networks. Science. Vol. 286. Num. 5439. p. 509-512. 1999.
-Couceiro, M.; Clemente, F.; Martins, F. Toward the Evaluation of Research Groups based on Scientific Co-authorship Networks: the Robocorp Case Study. Arab Gulf Journal of Scientific Research. Vol. 31. Num. 1. p. 36-52.2013.
-Duch, J.; Waitzman, J.S.; Amaral, L.A.N. Quantifying the performance of individual players in a team activity. PLoS ONE. 2010. Vol. 5. Num. 6. e10937.
-Gyarmati, L.; Kwak, H.; Rodriguez, P. Searching for aUnique Style in Soccer. In Proc. 2014 KDD Workshop on Large-Scale Sports Analytics. arXiv: 1409.0308. 2014.
-Horvath, S. Weighted network analysis: applications in genomics and systems biology. Springer: London, UK. 2011.
-Passos, P.; Araújo, D.; Volossovitch, A. Performance Analysis in Team Sports. London. Routledge. 2017.
-Passos, P.; Davids, K.; Araújo, D.; Paz, N.; Minguéns, J.; Mendes, J. Network as a novel tool for studying team ball sports as complex social system. Journal of Science and Medicine in Sport. Vol. 14. Num. 2. p. 170-176. 2011.
-Seifert, L.; Komar, J.; Araújo, D.; Davids, K. Neurobiological degeneracy: A key property for functional adaptations of perception and action to constraints. Neuroscience & Biobehavioral Reviews. Vol. 69. p. 159-165. 2016.
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