Modern Sports Analytics using Big Data

Abstract

The realm of sports is experiencing a dramatic transformation, driven by the assimilation of extensive data analysis. The enthusiasm from both scholars and industry professionals regarding the utilization of big data analytics (BDA) in athletics has surged significantly, leading to heightened demand for innovative research, development, and exploration of new methodologies. This review introduces a framework that encapsulates the current literature on the applications and impact of analytics within the sports sector. The studies evaluated in this paper utilize a variety of methods to assess and enhance athlete performance, including the creation of a player ranking system, visual assessments to pinpoint movement patterns, and the examination of numerical data during critical moments of the match. This review explores how big data analytics is revolutionizing player performance assessment, injury mitigation, training enhancement, and fan interaction. Key research publications are analyzed to offer a comprehensive perspective on the advantages and limitations of big data analytics in athletics. Additionally, potential future research directions are highlighted, emphasizing the significant opportunities within this field.