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].

Filipe Manuel Clemente, João Bernardo Sequeiros, Acácio Correia, Jaime Sierra-Olivares, Sixto González-Víllora, Frutuoso Silva, Fernando Manuel Lourenço Martins



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.


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.


Araújo, D.; Davids, K., & Hristoviski, R. (2006). The ecological of decision making in sport. Psychology of Sport and Exercise, 7(6), 653-676.

Aughey, R. J. (2011). Applications of GPS technologies to field sports. International Journal of Sports Physiology and Performance, 6(3), 295–310.

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.

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.

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.

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.

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.

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.

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.

Coutts, A. J. (2014). Evolution of football match analysis research. Journal of Sports Sciences, 32(20), 1829–1830.

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.

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.

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.

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.

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.

Ferguson, C. J. (2009). An effect size primer: A guide for clinicians and researchers. Professional Psychology: Research and Practice, 40(5), 532–538.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

Palabras clave/key words

georeferencing; technology; tactical metrics; ultimate performance analysis tool; football; tactics.

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RICYDE. Revista Internacional de Ciencias del Deporte

Publisher: Ramón Cantó Alcaraz
ISSN:1885-3137 - Periodicidad Trimestral / Quarterly
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