Data science in sports analytics: A review of performance optimization and fan engagemen
1 Independent Researcher, Lagos, Nigeria.
2 NDIC, Nigeria.
3 Department of Physics, University of Benin, Nigeria.
4 Scottish Water, UK.
5 Independent Researcher, San Francisco, USA.
6 Department of Information Management, Ahmadu Bello University, Zaria, Nigeria.
Review Article
World Journal of Advanced Research and Reviews, 2024, 21(01), 2663–2670
Publication history:
Received on 20 December 2023; revised on 27 January 2024; accepted on 29 January 2024
Abstract:
The intersection of data science and sports analytics has emerged as a powerful catalyst in revolutionizing the landscape of sports performance and fan engagement. This review explores the multifaceted role of data science in optimizing athlete performance and enhancing the overall experience for sports enthusiasts. In the realm of performance optimization, data science has become an indispensable tool for coaches, analysts, and athletes alike. Advanced statistical models, machine learning algorithms, and predictive analytics are employed to extract actionable insights from massive datasets encompassing player statistics, biomechanical data, and in-game dynamics. These insights not only aid in strategic decision-making but also facilitate personalized training regimens, injury prevention strategies, and the fine-tuning of game tactics. The integration of wearables and sensors further amplifies the granularity of data, enabling a more comprehensive understanding of an athlete's physical and mental well-being. Beyond the confines of the playing field, data science has significantly reshaped the landscape of fan engagement. Leveraging big data, social media analytics, and user behavior patterns, sports organizations can tailor content and interactions to create a more immersive and personalized experience for fans. Predictive modeling allows for the anticipation of fan preferences, enabling targeted marketing strategies and the creation of interactive platforms that foster a deeper connection between fans and their favorite teams. In conclusion, the symbiotic relationship between data science, sports analytics, performance optimization, and fan engagement is at the forefront of innovation in the sports industry. As technology continues to evolve, the integration of cutting-edge data-driven methodologies will undoubtedly redefine the way athletes train, compete, and captivate audiences worldwide. This review provides a comprehensive overview of the current landscape, highlighting the transformative impact of data science in shaping the future of sports.
Keywords:
Sport Analytics; Fan engagement; Data Science; Review; Optimization
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Copyright information:
Copyright © 2024 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0