Interpersonal Dynamics: 1v1 Sub-Phase at Sub-18 Football Players

• Autorzy: Filipe Manuel Clemente , Micael Santos Couceiro , Fernando Manuel Lourenço Martins , Gonçalo Dias , Rui Mendes
• Języki publikacji: EN

Abstrakty

EN

The performance of football players within game context can be analyzed based on their ability to break or (re)balance the attacker-defender dyad. In this context, the analysis of each sub-phase (e.g., 1v1, 2v2) presents a feature that needs to be taken into account in sports analysis. This study aims to investigate the interpersonal dynamics dyad formed by the attacker and the defender in 1v1 situations with a goalkeeper. A sample of 11 football male players (age: 17.91 ± 1.04 years) with 8.6 ± 1.52 years of practice experience participated in the study. Analyzing the 1v1 sub-phase, results show that the distance, speed and angular amplitude between the attacker and the defender increases, especially when the attacker attempts to overtake the defender (i.e., score a goal). We conclude that decision-making emerges from the perception that players draw from the action, actively and consistently interacting to find solutions to emerging problems within the game context

Słowa kluczowe

EN

sport analysis; constraints; instruction; interpersonal dynamics; football

• Czasopismo: Journal of Human Kinetics
• Rocznik: 2013
• Tom: 36
• Numer: 1
• Strony: 179-189

Daty

wydano

2013-03-01

online

2013-04-13

Twórcy

autor

Filipe Manuel Clemente

• Faculty of Sport Sciences and Physical Education – University of Coimbra, Portugal,
• RoboCorp, Coimbra Institute of Engineering – Polytechnic Institute of Coimbra, Portugal

autor

Micael Santos Couceiro

• RoboCorp, Coimbra Institute of Engineering – Polytechnic Institute of Coimbra, Portugal

autor

Fernando Manuel Lourenço Martins

• RoboCorp, Coimbra College of Education – Polytechnic Institute of Coimbra, Portugal
• Instituto de Telecomunicações, Delegação da Covilhã, Portugal (IT).

autor

Gonçalo Dias

• Faculty of Sport Sciences and Physical Education – University of Coimbra, Portugal
• RoboCorp, Coimbra Institute of Engineering – Polytechnic Institute of Coimbra, Portugal

autor

Rui Mendes

• RoboCorp, Coimbra College of Education – Polytechnic Institute of Coimbra, Portugal
• Interdisciplinary Centre for the Study of Human Performance – Lisbon Technical University, Portugal

Bibliografia

• Akritas MG, Papadatos N. Heteroscedastioc One-Way ANOVA and Lack-of-Fit Tests. Journal of theAmerican Statistical Association, 2004; 99: 368-390
• Clemente F, Couceiro MS, Martins FML, Mendes R. The usefulness of small-sided games on soccer training. Journal of Physical Education and Sport, 2012; 12: 93-102
• Davids K, Araújo D, Shuttleworth R. Applications of Dynamical Systems Theory to Football. In Science andFootball V. Eds: Reilly T, Cabri J, Araújo D. Oxon: Routledge Taylor & Francis Group, 556-569; 2005
• Davids K, Button C, Araújo D, Renshaw I, Hristovski R. Movement Models from Sports Provide Representative Task Constraints for Studying Adaptive Behaviour in Human Movement Systems. Adaptive Behaviour, 2006; 14: 73-95
• Davids K, Button C, Bennett S. Dynamics of Skill Acquisition: A Constraints-Led Approach. Champaign: Human Kinetics; 2008[WoS]
• Duarte R, Araújo D, Davids K, Travassos B, Gazimba V, Sampaio J. Interpersonal coordination tendencies shape 1-vs-1 sub-phase performance outcomes in youth soccer. Journal of Sports Sciences, 2012; 30: 871-877[Crossref][WoS]
• Duarte R, Araújo D, Gazimba V, Fernandes O, Folgado H, Marmeleira J, Davids K. The Ecological Dynamics of 1v1 Sub-Phases in Association Football. The Open Sports Sciences Journal, 2010; 3: 16-18
• Handford C, Davids K, Bennett S, Button, C. Skill acquisition in sport: Some applications of an evolving practice ecology. Journal of Sports Sciences, 1997; 15: 621-640[Crossref]
• McGarry T. Soccer as a Dynamical System: Some Theoretical Considerations. In Science and Football V. Eds: Reilly T, Cabri J, Araújo D. Oxon: Routledge Taylor & Francis Group, 570-579; 2005
• McGarry T, Anderson D, Wallace S, Hughes M, Franks I. Sport competition as a dynamical selforganization system. Journal of Sports Sciences, 2002; 20: 171-181
• Pallant J. SPSS Survival Manual. Australia: Allen & Unwin; 2011
• Passos P, Araújo D, Davids K, Gouveia L, Milho J, Serpa S. Information-governing dynamics of attackerdefender interactions in youth rugby union. Journal of Sports Sciences, 2008; 16: 1421-1429[Crossref][WoS]
• Passos P, Araújo D, Davids K, Gouveia L, Serpa S. Interpersonal dynamics in sport: The role of artificial neural networks and 3-D analysis. Behaviour Research Methods, 2006; 38: 683-691[Crossref]
• Tan CWK, Chow JY, Davids K. ‘How does TGfU work?’: examining the relationship between learning design in TGfU and a nonlinear pedagogy. Physical Education & Sport Pedagogy, 2012; 17: 331-348[WoS][Crossref]
• Vincent WJ. Statistics in Kinesiology. Champaign: Human Kinetics; 1999
• Warren WH. Visually controlled locomotion: 40 years later. Ecological Psychology, 1998; 10: 177-219
• Warren WH, Kay BA, Zosh WD, Duchon AP, Sahuc S. Optic flow is used to control human walking. NatureNeuroscience, 2001; 4: 213-216

Identyfikatory

DOI

10.2478/hukin-2013-0018