Predictive Processing in Sport and Exercise Science: A Scoping Review and Theoretical Overview

BACKGROUND: This scoping review explored the application of predictive processing in sport and exercise science, examining how cognitive and computational models have been used to understand perceptual-motor skills, decision-making, and physical performance. The review provides a tutorial introduction to key concepts in the predictive processing literature and maps the extent of research in this area, identifying key domains of application and the level of empirical support. METHODS: A systematic search of EMBASE, Medline, PsycINFO, and SPORTDiscus databases was performed, adhering to JBI methodology and the PRISMA Extension for Scoping Reviews. RESULTS: Twenty relevant empirical studies were discovered across all domains of sport and exercise science. Despite promising evidence, the review also uncovers significant gaps, particularly in comparing predictive-processing-specific mechanisms to alternative theories and exploring the broader implications of predictive processing for skill acquisition and training interventions. CONCLUSIONS: Based on these findings, the review outlines recommendations for future research, calling for more targeted investigations that empirically test predictive processing predictions and an expansion of this approach to new areas of sport science.

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Publication Details

Journal
Sports Medicine - Open
Published
2026-08-17
DOI
https://doi.org/10.1186/s40798-026-01092-z
Citations
2
Primary Topic
Sports Performance and Training
Type
article
Field-Weighted Citation Impact
0.00

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article

Predictive Processing in Sport and Exercise Science: A Scoping Review and Theoretical Overview

Callum O'Malley, Stephan Zahno, David Harris, Tom Arthur
2 citations
Sports Medicine - Open
Sports Performance and Training
article

Predictive Processing in Sport and Exercise Science: A Scoping Review and Theoretical Overview

Callum O'Malley, Stephan Zahno, David Harris, Tom Arthur
article en
2 citations

Abstract

BACKGROUND: This scoping review explored the application of predictive processing in sport and exercise science, examining how cognitive and computational models have been used to understand perceptual-motor skills, decision-making, and physical performance. The review provides a tutorial introduction to key concepts in the predictive processing literature and maps the extent of research in this area, identifying key domains of application and the level of empirical support. METHODS: A systematic search of EMBASE, Medline, PsycINFO, and SPORTDiscus databases was performed, adhering to JBI methodology and the PRISMA Extension for Scoping Reviews. RESULTS: Twenty relevant empirical studies were discovered across all domains of sport and exercise science. Despite promising evidence, the review also uncovers significant gaps, particularly in comparing predictive-processing-specific mechanisms to alternative theories and exploring the broader implications of predictive processing for skill acquisition and training interventions. CONCLUSIONS: Based on these findings, the review outlines recommendations for future research, calling for more targeted investigations that empirically test predictive processing predictions and an expansion of this approach to new areas of sport science.

Sports Medicine - OpenVol. 12(1)
University of Bern (CH), University of Exeter (GB)
Leverhulme Trust
Openalex Percentile: Top 100%
Sports Performance and Training
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