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<p>In today’s sports world, big data and artificial intelligence (AI) are turning vast amounts of information—ranging from player stats and biometrics to historical records—into practical insights that drive better performance and smarter decisions. The objective of this paper is to explore the integration of big data with advanced technologies for predicting game outcomes, performing game analysis, and preventing injuries. We look at how techniques such as knowledge discovery in databases (KDD) uncover hidden patterns within extensive datasets and how techniques like logistic regression and neural networks apply these patterns to forecast game outcomes and refine strategy. Furthermore, we observe how innovations such as Microelectromechanical Systems (MEMS) and smart jerseys enable continuous, real-time health monitoring, enabling proactive injury prevention and optimized player management. By examining the various studies performed in this area, we better understand the current role of big data in sports and its future direction. Through this review, we aim to contribute to the advancement of sports technology and provide a basis for future research in this field.</p>

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Predictive analytics, strategic game analysis, and injury prevention in sports: the role of big data and artificial intelligence

  • 期刊论文

  • 发表日期：

    2025年4月4日

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  • Manan Shah,
  • Arya Shah,
  • Kripa Patel,
  • Ameya Kshirsagar,
  • Shlok Sanghvi,
  • Vrundan Sojitra

摘要

In today’s sports world, big data and artificial intelligence (AI) are turning vast amounts of information—ranging from player stats and biometrics to historical records—into practical insights that drive better performance and smarter decisions. The objective of this paper is to explore the integration of big data with advanced technologies for predicting game outcomes, performing game analysis, and preventing injuries. We look at how techniques such as knowledge discovery in databases (KDD) uncover hidden patterns within extensive datasets and how techniques like logistic regression and neural networks apply these patterns to forecast game outcomes and refine strategy. Furthermore, we observe how innovations such as Microelectromechanical Systems (MEMS) and smart jerseys enable continuous, real-time health monitoring, enabling proactive injury prevention and optimized player management. By examining the various studies performed in this area, we better understand the current role of big data in sports and its future direction. Through this review, we aim to contribute to the advancement of sports technology and provide a basis for future research in this field.