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AI in Sports Analytics: Enhancing Performance, Fan Engagement, and Immersive Experience in the Metaverse and Digital Twin Era
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Author(s): Alya Nurul Qolbi (Universitas Esa Unggul, Indonesia), Kwok Tai Chui (Hong Kong Metropolitan University, Hong Kong, China), Brij B. Gupta (Asia University, Taichung, Taiwan, & VIZJA University, Warsaw, Poland)and Mosiur Rahaman (Department of Computer Engineering, King Mongkut’s University of Technology Thonburi, Thailand)
Copyright: 2026
Pages: 36
Source title:
Revolutionizing Consumer Experience With Digital Twins and the Metaverse
Source Author(s)/Editor(s): Brij B. Gupta (Asia University, Taichung, Taiwan & VIZJA University, Warsaw, Poland)and Yuk Ming Tang (Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hong Kong, China)
DOI: 10.4018/979-8-3373-4541-3.ch007
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Abstract
The integration of Artificial Intelligence (AI) into sports analytics has transformed how performance, strategy, and fan engagement are managed in modern sports. This chapter highlights the synergy of AI, Digital Twin, and Metaverse technologies in creating a smart and immersive sports ecosystem. AI facilitates real-time tracking, injury prediction, personalized training, and tactical analysis using machine learning and computer vision. Digital Twins simulate athletes and game scenarios for optimization and decision-making. The Metaverse enhances fan interaction through virtual stadiums, avatars, and personalized content. Smart wearables and edge computing further boost data quality and immediacy. Case studies such as FIFA's AI-assisted VAR and immersive metaverse experiences illustrate real-world applications. The chapter also addresses challenges in data privacy, algorithmic bias, and equitable technology access. It proposes a comprehensive framework and future directions to guide the ethical and strategic adoption of AI and immersive technologies in sports.
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