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标题：How dots behave in two different pitch sizes? Analysis of tactical behavior based on position data in two soccer field sizes. [¿Cómo se comportan los puntos en dos campos diferentes? Análisis del comportamiento táctico basado en los datos de posición en dos tamaños de campo de fútbol].
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作者：Filipe Manuel Clemente ; João Bernardo Sequeiros ; Acácio Correia 等
期刊名称：RICYDE. Revista Internacional de Ciencias del Deporte. doi:10.5232/ricyde
印刷版ISSN：1885-3137
出版年度：2018
卷号：14
期号：51
页码：16-28
语种：English
出版社：Ramón Cantó Alcaraz (Publisher)
摘要：Abstract The purpose of this study was to analyze the effects of two different field sizes (full and half of an official size field) on the tactical behaviors measured by position data of players. Ten amateur soccer players (age = 23.39 3.91 years old) were tracked with GPS units during two situations of 11 vs. 11, one in each field size. The position data was treated and the centroid and stretch index of the team were calculated with the Ultimate Performance Analysis Tool. Significantly greater values of centroid in goal-to-goal axis ( p = 0.001; ES = 3.794), centroid in lateral-to-lateral axis ( p = 0.001; ES = 0.729) and total stretch index ( p = 0.001; ES = 1.185) were found in the full-size game. The full-size of the field increased the distances between teammates and the distances to the centroid. Moreover, the position of geometrical center of the team was beyond of the middle line in the full size. Resumen El propósito de este trabajo fue analizar el efecto de la modificación del espacio de juego sobre los comportamientos tácticos en fútbol, mediante variables de posicionamiento de jugadores. Se monitorizó a 10 jugadores amateur (edad = 23.39 3.91 años) con unidades GPS en dos partidos 11 vs. 11 diferentes en cuanto al tamaño del campo (medio campo y campo entero). Se calculó el centroide y el índice de elasticidad de los equipos mediante el software Ultimate Performance Analysis Tool ( Instrumento de análisis de alto rendimiento ). Se observaron valores significativamente superiores de los centroid portería-a-portería ( p = 0.001; ES = 3.794), centroid banda-a-banda ( p = 0.001; ES = 0.729) y índice total de elasticidad ( p = 0.001; ES = 1.185) en la situación de campo entero. La situación de campo entero incrementó las distancias entre compañeros y distancias de los jugadores respecto al centroide. Además, la posición geométrica del centro del equipo se situó por delante de la línea media del campo en la situación de campo entero. https://doi.org/10.5232/ricyde2018.05102 References/referencias Araújo, D.; Davids, K., & Hristoviski, R. (2006). The ecological of decision making in sport. Psychology of Sport and Exercise , 7 (6), 653-676. https://doi.org/10.1016/j.psychsport.2006.07.002 Aughey, R. J. (2011). Applications of GPS technologies to field sports. International Journal of Sports Physiology and Performance , 6 (3), 295–310. https://doi.org/10.1123/ijspp.6.3.295 Bartlett, R.; Button, C.; Robins, M.; Dutt-Mazumder, A., & Kennedy, G. (2012). Analysing team coordination patterns from player movement trajectories in football: Methodological considerations. International Journal of Performance Analysis in Sport , 12 (2), 398–424. Bourbousson, J.; Sève, C., & McGarry, T. (2010). Space-time coordination dynamics in basketball: Part 2 The interaction between the two teams. Journal of Sports Sciences , 28 (3), 349–358. https://doi.org/10.1080/02640410903503640 Carling, C.; Williams, A. M., & Reilly, T. (2005). Handbook of soccer match analysis: A systematic approach to improving performance . Book, London & New York: Taylor & Francis Group. https://doi.org/10.4324/9780203448625 Casamichana, D., & Castellano, J. (2010). Time–motion, heart rate, perceptual and motor behaviour demands in small-sides soccer games: Effects of pitch size. Journal of Sports Sciences , 28 (14), 1615–1623. https://doi.org/10.1080/02640414.2010.521168 Chow, J. Y.; Davids, K.; Button, C.; Shuttleworth, R.; Renshaw, I., & Araujo, D. (2006). Nonlinear pedagogy: a constraints-led framework for understanding emergence of game play and movement skills. Nonlinear Dynamics, Psychology, and Life Sciences , 10 (1), 71–103. Clemente, F. M.; Couceiro, M. S.; Fernando, M. L.; Mendes, R., & Figueiredo, A. J. (2013). Measuring tactical behaviour using technological metrics: Case study of a football game. International Journal of Sports Science & Coaching , 8 (4), 723–739. https://doi.org/10.1260/1747-9541.8.4.723 Clemente, F. M.; Couceiro, M. S.; Martins, F. M. L.; Mendes, R., & Figueiredo, A. J. (2013). 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. L.; Mendes, R. S., & Figueiredo, A. J. (2014). Intelligent systems for analyzing soccer games: The weighted centroid. Ingeniería E Investigación , 34 (3), 70–75. https://doi.org/10.15446/ing.investig.v34n3.43602 Clemente, F. M.; Couceiro, M. S.; Martins, F. M. L.; Mendes, R. S., & Figueiredo, A. J. (2014). Practical implementation of computational tactical metrics for the football game: Towards an augmenting perception of coaches and sport analysts. In Murgante, Misra, Rocha, Torre, Falcão, Taniar, … Gervasi (Eds.), Computational science and its applications (pp. 712–727). Springer. https://doi.org/10.1007/978-3-319-09144-0_49 Clemente, F. M.; Couceiro, M. S.; Martins, F. M. L.; Mendes, R. S., & Figueiredo, A. J. (2014). Using collective metrics to inspect spatio-temporal relationships between football players. South African Journal for Research in Sport, Physical Education and Recreation , 36 (2), 47–59. Clemente, F. M.; Silva, F.; Martins, F. M. L.; Kalamaras, D., & Mendes, R. S. (2016). Performance Analysis Tool for network analysis on team sports: A case study of FIFA Soccer World Cup 2014. Proceedings of the Institution of Mechanical Engineers, Part P: Journal of Sports Engineering and Technology , 230 (3), 158–170. https://doi.org/10.1177/1754337115597335 Coutts, A. J. (2014). Evolution of football match analysis research. Journal of Sports Sciences , 32 (20), 1829–1830. https://doi.org/10.1080/02640414.2014.985450 Davids, K.; Araújo, D.; Correia, V., & Vilar, L. (2013). How small-sided and conditioned games enhance acquisition of movement and decision-making skills. Exercise and Sport Sciences Reviews , 41 (3), 154–161. https://doi.org/10.1097/JES.0b013e318292f3ec Davids, K.; Button, C.; Araújo, D.; Renshaw, I., & Hristovski, R. (2006). Movement models from sports provide representative task constraints for studying adaptive behavior in human movement systems. International Society for Adaptive Behavior , 14 (1), 73–95. https://doi.org/10.1177/105971230601400103 Di Salvo, V.; Baron, R.; Tschan, H.; Calderon, F. J.; Bachl, N., & Pigozzi, F. (2007). Performance characteristics according to playing position in elite soccer. International Journal of Sports Medicine , 28 , 222–227. https://doi.org/10.1055/s-2006-924294 Duarte, R.; Araújo, 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 , 42 (8), 633–642. https://doi.org/10.1007/BF03262285 Duarte, R.; Araújo, D.; Folgado, H.; Esteves, P.; Marques, P., & Davids, K. (2013). Capturing complex, non-linear team behaviours during competitive football performance. Journal of Systems Science and Complexity , 26 (1), 62–72. https://doi.org/10.1007/s11424-013-2290-3 Ferguson, C. J. (2009). An effect size primer: A guide for clinicians and researchers. Professional Psychology: Research and Practice , 40 (5), 532–538. https://doi.org/10.1037/a0015808 Fradua, L.; Zubillaga, A.; Caro, O.; Fernández-García, A.; Ruiz-Ruiz, C., & Tenga, A. (2013). Designing small-sided games for training tactical aspects in soccer: extrapolating pitch sizes from full-size professional matches. Journal of Sports Sciences , 31 (6), 573–81. https://doi.org/10.1080/02640414.2012.746722 Frencken, W.; Lemmink, K.; Delleman, N., & Visscher, C. (2011). Oscillations of centroid position and surface area of football teams in small-sided games. European Journal of Sport Science , 11 (4), 215–223. https://doi.org/10.1080/17461391.2010.499967 Frencken, W.; Poel, H.; Visscher, C., & Lemmink, K. (2012). Variability of inter-team distances associated with match events in elite-standard soccer. Journal of Sports Sciences , 30 (12), 1207–13. https://doi.org/10.1080/02640414.2012.703783 Frencken, W.; Van Der Plaats, J.; Visscher, C., & Lemmink, K. (2013). Size matters: Pitch dimensions constrain interactive team behaviour in soccer. Journal of Systems Science and Complexity , 26 (1), 85–93. https://doi.org/10.1007/s11424-013-2284-1 Frencken, W.; van der Plaats, J.; Visscher, C., & Lemmink, K. (2013). Size matters: Pitch dimensions constrain interactive team behaviour in soccer. Journal of Systems Science and Complexity , 26 (1), 85–93. https://doi.org/10.1007/s11424-013-2284-1 Gómez-Ruano, M. Á. (2017). La importancia del análisis notacional como tópico emergente en Ciencias del deporte [The importance of performance analysis as an emergent research topic in sport sciences]. RICYDE. Revista Internacional de Ciencias del Deporte , 13 (47), 1-4. https://doi.org/10.5232/ricyde2017.047ed Gonçalves, B. V.; Figueira, B. E.; Maçãs, V., & Sampaio, J. (2014). Effect of player position on movement behaviour, physical and physiological performances during an 11-a-side football game. Journal of Sports Sciences , 32 (2), 191–9. https://doi.org/10.1080/02640414.2013.816761 Gréhaigne, J. F.; Bouthier, D., & David, B. (1997). Dynamic-system analysis of opponent relationship in collective actions in football. Journal of Sports Sciences , 15 (2), 137–149. https://doi.org/10.1080/026404197367416 Gréhaigne, J. F.; Richard, J. F., & Griffin, L. (2005). Teaching and learning team sports and games . Book, New York, USA: Routledge Falmar. Serra-Olivares, J.; Clemente, F. M., & González-Víllora, S. (2016). Tactical expertise assessment in youth football using representative tasks. SpringerPlus , 5 (1), 1301. https://doi.org/10.1186/s40064-016-2955-1 Serra-Olivares, J.; García-López, L. M., & Calderón, A. (2016). Game-Based Approaches, Pedagogical Principles and Tactical Constraints: Examining Games Modification. Journal of Teaching in Physical Education , 35 (3), 208–218. https://doi.org/10.1123/jtpe.2015-0125 Serra-Olivares, J.; González-Víllora, S.; García-López, L. M., & Araújo, D. (2015). Game-Based Approaches’ Pedagogical Principles: Exploring task constraints in youth soccer. Journal of Human Kinetics , 46 (1), 251–261. https://doi.org/10.1515/hukin-2015-0053 Silva, P.; Chung, D.; Carvalho, T.; Cardoso, T.; Davids, K.; Araújo, D., & Garganta, J. (2016). Practice effects on intra-team synergies in football teams. Human Movement Science , 46 , 39–51. https://doi.org/10.1016/j.humov.2015.11.017 Silva, P.; Duarte, R.; Sampaio, J.; Aguiar, P.; Davids, K.; Araújo, D., & Garganta, J. (2014). Field dimension and skill level constrain team tactical behaviours in small-sided and conditioned games in football. Journal of Sports Sciences , 32 (20), 1888–1896. https://doi.org/10.1080/02640414.2014.961950 Silva, P.; Vilar, L.; Davids, K.; Araújo, D., & Garganta, J. (2016). Sports teams as complex adaptive systems: manipulating player numbers shapes behaviours during football small-sided games. SpringerPlus , 5 (1), 191. https://doi.org/10.1186/s40064-016-1813-5 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. Travassos, B.; Gonçalves, B.; Marcelino, R.; Monteiro, R., & Sampaio, J. (2014). How perceiving additional targets modifies teams’ tactical behavior during football small-sided games. Human Movement Science , 38 , 241–250. https://doi.org/10.1016/j.humov.2014.10.005 Vilar, L.; Araújo, D.; Davids, K.; Travassos, B.; Duarte, R., & Parreira, J. (2014). Interpersonal coordination tendencies supporting the creation/prevention of goal scoring opportunities in futsal. European Journal of Sport Science , 14 (1), 28–35. https://doi.org/10.1080/17461391.2012.725103 Vilar, L.; Araújo, D.; Travassos, B., & Davids, K. (2014). Coordination tendencies are shaped by attacker and defender interactions with the goal and the ball in futsal. Human Movement Science , 33 (1), 14–24. https://doi.org/10.1016/j.humov.2013.08.012
关键词：georeferencing;technology;tactical metrics;ultimate performance analysis tool;football;tactics.