Machine Learning in Sports Analytics: Enhancing Performance and Strategy

Abstract

Machine learning (ML) has significantly transformed sports analytics by providing innovative solutions for performance enhancement, injury prediction, strategic decision-making, and fan engagement. This paper discusses the application of ML algorithms in sports analytics, focusing on how these technologies optimize player performance, improve team strategy, and support injury prevention. Additionally, the paper examines the challenges faced in integrating machine learning into sports environments and highlights future research opportunities in the field. The findings suggest that ML will continue to revolutionize sports performance analysis, making it an essential tool for coaches, athletes, and sports managers.