RESEARCH ARTICLE
The Ecological Dynamics of 1v1 Sub-Phases in Association Football
R. Duarte1, 2, *, D. Araujo2, V. Gazimba1, O. Fernandes1, H. Folgado1, J. Marmeleira1, K. Davids3
Article Information
Identifiers and Pagination:
Year: 2010Volume: 3
First Page: 16
Last Page: 18
Publisher ID: TOSSJ-3-16
DOI: 10.2174/1875399X010030100016
Article History:
Received Date: 05/07/2009Revision Received Date: 18/10/2009
Acceptance Date: 01/11/2009
Electronic publication date: 9/4/2010
Collection year: 2010
open-access license: This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: https://creativecommons.org/licenses/by/4.0/legalcode. This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Abstract
The purpose of this study was to analyze the informational constraints that influence the dynamics of 1v1 situations in football. Specifically, we analyzed the contribution of interpersonal distance and relative velocity to explain phase transitions that occurred between stable and unstable coordinative states in 1v1 in football. Participants were six, U13 level football players (Mean age: 11.8±0.4 yrs), who performed 5 trials of a representative task at four different start distances (1, 1.5, 2 and 2.5 meters) between the defender and the ball (5 repetitions x 6 players x 4 distances = 120 1v1 trials). Players' motion was captured by digital video camera. For image treatment and to extract data on player movement coordinates, we used the TACTO 8.0 software at 25 Hz. Following, we constructed plots with the time-series of these two control parameters candidates associated with the time-series of players' distance to the end line. Graphical inspection showed in all trials a clear tendency for greater relative velocity and lower interpersonal distance values during phase transitions between coordinative states. To confirm this interpretation, we computed a time-series analysis of Z-scores of relative velocity and interpersonal distance data, and a time-series analysis of Z-score differences between these variables. Mean data showed that maximum peaks in Z-score differences were related to all phase transitions.