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Big Data Applications in Athlete Performance and Strategy Optimization

Yash Tirangase, Rahul Tatar, Tejaswini Katkar · 2024
PhilArchive · Papers · 2024
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philosophy
Big data has increasingly been recognized as a transformative force in the sports industry, offering insights that were once impossible to gather through traditional methods. By leveraging vast amounts of real-time data from wearable devices, sensors, and video analysis, big data analytics can help athletes and teams make informed decisions to enhance performance, prevent injuries, and optimize training. This paper explores the role of big data in sports performance analytics, focusing on its application across various sports domains, including training optimization, injury prevention, and game strategy. The study highlights key data sources, methodologies, and real-world case studies where big data analytics has led to significant improvements in sports performance. The potential for big data to revolutionize the future of sports is vast, with its continued evolution poised to impact athlete training, team management, and overall game strategies.
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