Abstract
This article summarizes research from an ecological dynamics program of work on team sports exemplifying how small-sided and conditioned games (SSCG) can enhance skill acquisition and decision-making processes during training. The data highlighted show how constraints of different SSCG can facilitate emergence of continuous interpersonal coordination tendencies during practice to benefit team game players.
Highlights
A major interest in sports sciences has been the development of training programs that provide team sports coaches with reliable methods for improving training while enhancing player performance
Our findings reveal how players and teams use specifying information available in the competitive environment to regulate coordinated activities and functional behaviors that support successful performance. These findings imply that practitioners need to design dynamic training simulations that capture the inherent variability of the competitive performance environment, leading performers to use information that is specifying [30,31]
Research on small-sided and conditioned games (SSCG) mainly focused on investigating effects of different task constraints on physiological conditioning during training [18]. Aligned with these advances in physiological preparation for team games, we have argued that the science of team games performance can benefit from the development of a theoretical rationale to describe and explain psychological functioning, such as perception, cognition, movement coordination, and decision making during team game performance [38]
Summary
A major interest in sports sciences has been the development of training programs that provide team sports coaches with reliable methods for improving training while enhancing player performance. Adaptive training occurs when difficulty is increased gradually as a task is mastered Both instructional methods involve little sustained manipulation of practice task constraints, seeking to facilitate learners searching for unique performance solutions [25]. Such traditional methods provide a limited scope for action variability in learners because a key aim of practitioners is to decrease uncertainty of actions and rationalize decisionmaking processes in training drills. These findings imply that practitioners need to design dynamic training simulations that capture the inherent variability of the competitive performance environment, leading performers to use information that is specifying (i.e., functionally relevant to support action) [30,31]
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