M. Rahimov

Development and validation of an explainable artificial intelligence model for training load monitoring and performance risk prediction in university-level football under resource constraints

Findings indicate that explainable machine learning models based on low-resource metrics can provide an accurate, interpretable, and scalable decision-support framework for training load monitoring in educational sport environments.