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This is a Systematic Review study.

A narrative review of deep learning applications in sports performance analysis: current practices, challenges, and future directions

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Narrative review reveals deep learning's impact on performance metrics in sports, highlighting challenges in model reliability and application.

Deep learning techniques significantly advance sports performance analysis, improving monitoring and injury prediction.
A total of 51 studies were included, covering diverse sports and demonstrating the utility of CNNs and RNNs.
Challenges in standardizing methodologies and ensuring model validation persist across various sports applications.
Future research should focus on multi-modal data integration and enhancing real-time analytics for better performance assessment.

Jia et al. (2025) studied this question.

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Narrative review reveals deep learning's impact on performance metrics in sports, highlighting challenges in model reliability and application.