Journal article
Defining the attributes for specific playing positions in football match-play: A complex systems approach
Journal of Sports Sciences, Vol.38(11-12), pp.1248-1258
2020
Abstract
Talent identification and development programmes that retain and develop athletes are integral to the sporting success of National Governing Bodies in football. Currently, player attributes are studied in isolation without considering the complexity of interacting components of football performance. The current study applied a systems analysis framework to describe, in a structured and systematic way, the attributes for specific playing positions in football match-play. Methods: Eight high-level football coaches were interviewed. Models of the interacting attributes were developed for each position using Work Domain Analysis (WDA). Results: Six WDA models detail the attributes associated with each playing position. The models identified purposes of playing positions (restrict opposition actions, organise and coordinate, building up of offence, goal scoring and stretch opposition), performance-related measures and the functions required to achieve the playing position purposes (game play, psychological functions, time and space and player actions). Critically, the relationships between the purposes, measures, functions, processes, and objects are described in the models. The WDA models describe the interacting attributes of different playing positions in football match-play. The findings demonstrate football performance is complex, consisting of multiple interacting and dynamic components. Implications to support coaches in talent identification and development are discussed.
Details
- Title
- Defining the attributes for specific playing positions in football match-play: A complex systems approach
- Authors
- Elise Berber (Author) - University of the Sunshine Coast, Queensland, Thompson InstituteScott McLean (Author) - University of the Sunshine Coast, Queensland, Centre for Human Factors and Sociotechnical SystemsVanessa Beanland (Author) - University of OtagoGemma J. M Read (Author) - University of the Sunshine Coast, Queensland, Centre for Human Factors and Sociotechnical SystemsPaul M Salmon (Author) - University of the Sunshine Coast, Queensland, Centre for Human Factors and Sociotechnical Systems
- Publication details
- Journal of Sports Sciences, Vol.38(11-12), pp.1248-1258
- Publisher
- Routledge
- DOI
- 10.1080/02640414.2020.1768636
- ISSN
- 1466-447X
- Organisation Unit
- School of Health - Psychology; Centre for Human Factors and Sociotechnical Systems; School of Law and Society; Thompson Institute
- Language
- English
- Record Identifier
- 99465406302621
- Output Type
- Journal article
Metrics
154 Record Views
InCites Highlights
These are selected metrics from InCites Benchmarking & Analytics tool, related to this output
- Collaboration types
- Domestic collaboration
- International collaboration
- Web Of Science research areas
- Sport Sciences
UN Sustainable Development Goals (SDGs)
This output has contributed to the advancement of the following goals:
Source: InCites