Review of Machine Learning in Baseball Analytics for Performance Improvement and Future Directions

• Published in: Proceedings of IEEE Southeastcon pp. 1038 - 1043
• Main Authors: Wu, Daniel D., Huang, Yu-Hsiang John, Yao, Jenq-Foung
• Format: Conference Proceeding
• Language: English
• Published: IEEE 22.03.2025
• Subjects: analytics; baseball; Injuries; Machine learning; Machine learning algorithms; Prevention and mitigation; Sequential analysis; Shape; Sports; Systematic literature review; Technological innovation

The application of machine learning (ML) in baseball analytics has revolutionized the way teams and players approach performance improvement. This literature review explores the intersection of ML and baseball analytics, focusing on key areas such as player evaluation, injury prevention, game strate...