An innovative RPE-based approach using machine learning to analyse starter and substitute training load in soccer.
- DOI
- 10.5114/biolsport.2026.162046
- Published
- 2026 Jan
- Container
- Biology of sport
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.5114/biolsport.2026.162046,
title = {An innovative RPE-based approach using machine learning to analyse starter and substitute training load in soccer.},
author = {Laterza F and Chamari K and Caminiti G and Annino G and Beato M and Bovenzi A and D'Onofrio R and Manzi V},
year = {2026},
journal = {Biology of sport},
doi = {10.5114/biolsport.2026.162046},
url = {https://doi.org/10.5114/biolsport.2026.162046}
}RIS
TY - JOUR TI - An innovative RPE-based approach using machine learning to analyse starter and substitute training load in soccer. AU - Laterza F AU - Chamari K AU - Caminiti G AU - Annino G AU - Beato M AU - Bovenzi A AU - D'Onofrio R AU - Manzi V PY - 2026 JO - Biology of sport DO - 10.5114/biolsport.2026.162046 UR - https://doi.org/10.5114/biolsport.2026.162046 ER -
APA
F, L., K, C., G, C., G, A., M, B., A, B., R, D., & V, M. (2026). An innovative RPE-based approach using machine learning to analyse starter and substitute training load in soccer.. Biology of sport. https://doi.org/10.5114/biolsport.2026.162046
Source records
- pubmed · retrieved 2026-11-10T14:17:16.566Z