Sports teams as collective homeostatic systems: Exploiting self-organising tendencies in competition.

SANTOS, Ricardo, RIBEIRO, João, DAVIDS, Keith and GARGANTA, Júlio (2023). Sports teams as collective homeostatic systems: Exploiting self-organising tendencies in competition. New Ideas in Psychology, 71: 101048.

Davids-SportsTeamsAsCollective(AM).pdf - Accepted Version
Creative Commons Attribution.

Download (204kB) | Preview
Official URL:
Link to published version::


This paper proposes theoretical insights on how sports teams, conceptualised as homeostatic regulatory systems, can continually self-organise their ongoing interactions to maintain team functioning and organization during competitive performance. In the model, team performance is co-regulated as coordinated behaviours emerge through synergy (re)formation between performers to adapt efficiently and effectively to satisfy emerging dynamical constraints of competitive environments. Understanding collective homeostasis in interpreting the self-organising dynamics of sports teams facilitates the identification and analysis of adaptive behavioural responses of teams, sub-groups, and individual players. As a starting point, a biological model of collective homeostasis is composed of four critical components: a) players, b) set point, c) identifier, and d), adapter. Understanding the interrelated functions of model components is fundamental to designing effective training sessions and programmes for development of self-regulating team performance. In terms of performance analysis, identification and disruption of specific set points will provide insights for studying how to negotiate critical moments of competitive game play.

Item Type: Article
Uncontrolled Keywords: 1701 Psychology; 1702 Cognitive Sciences; Developmental & Child Psychology; 5201 Applied and developmental psychology; 5203 Clinical and health psychology; 5205 Social and personality psychology
Identification Number:
SWORD Depositor: Symplectic Elements
Depositing User: Symplectic Elements
Date Deposited: 13 Sep 2023 16:03
Last Modified: 11 Oct 2023 11:46

Actions (login required)

View Item View Item


Downloads per month over past year

View more statistics