Machine learning models for injury risk prediction in football (soccer): a systematic review and meta-analysis of prediction-model performance
- DOI
- 10.17605/osf.io/g76rf
- Published
- 2026
- Container
- Not recorded
- Publisher
- OSF Registries
- Open access
- yes
Credibility signals
limited evidence Score 47/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.17605/osf.io/g76rf,
title = {Machine learning models for injury risk prediction in football (soccer): a systematic review and meta-analysis of prediction-model performance},
author = {Mortadha Razzak and Ismail Dergaa and Halil İbrahim Ceylan},
year = {2026},
doi = {10.17605/osf.io/g76rf},
url = {https://doi.org/10.17605/osf.io/g76rf}
}RIS
TY - JOUR TI - Machine learning models for injury risk prediction in football (soccer): a systematic review and meta-analysis of prediction-model performance AU - Mortadha Razzak AU - Ismail Dergaa AU - Halil İbrahim Ceylan PY - 2026 DO - 10.17605/osf.io/g76rf UR - https://doi.org/10.17605/osf.io/g76rf ER -
APA
Razzak, M., Dergaa, I., & Ceylan, H. İ. (2026). Machine learning models for injury risk prediction in football (soccer): a systematic review and meta-analysis of prediction-model performance. https://doi.org/10.17605/osf.io/g76rf
Source records
- datacite · retrieved 2026-09-25T11:19:58.527Z