What question did this study set out to answer?

The aim is to review the application of machine learning in sports analytics and identify challenges in this field.

Sports analytics review: Artificial intelligence applications, emerging technologies, and algorithmic perspective

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Review surveys ML algorithms and technologies in sports analytics, suggesting future research avenues.

The aim is to review the application of machine learning in sports analytics and identify challenges in this field.
Categorized into three fields: sensors, computer vision, and wireless/mobile applications.
Analyzed systems for real-time sports analytics based on various learning algorithms.
Discussed the benefits of different machine learning methodologies.
Highlighted the state-of-the-art literature on ML algorithms in sports.
Compared statistical learning, deep learning, and reinforcement learning techniques.
Identified open-research opportunities and emerging technologies in sports analytics.

Ghosh et al. (2023) studied this question.

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