Game Tactics and Strategy Optimization Through AI and Machine Learning

Mittal, Shashank, Mohapatra, Sushree S, Kanwal, Preet and Ta, Huy Hung (2025) Game Tactics and Strategy Optimization Through AI and Machine Learning. In: AI and Machine Learning Applications in Sports Analytics. IGI Global, pp. 77-101. ISBN 9798369353851

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Abstract

This chapter explores the transformative role of artificial intelligence (AI) and machine learning in optimizing game strategy within sports. By analyzing historical game data, AI enhances tactical decision-making, player development, and realtime adjustments during competitions. The integration of predictive analytics allows teams to anticipate future performance trends and adapt strategies accordingly, while AI powered tools foster personalized training regimens and injury prevention. Furthermore, the collaboration between AI and human insight encourages a dynamic partnership that enriches coaching and gameplay. Despite its benefits, ethical considerations regarding data privacy, fairness, and competitive integrity must be addressed to ensure responsible AI use. As these technologies become more accessible, they will democratize strategy optimization, empowering teams at all levels. This chapter ultimately highlights the potential of AI to reshape the landscape of sports, driving innovation and improving overall performance.

Item Type: Book Section
Subjects: Social Sciences and humanities > Business, Management and Accounting > Management of Technology and Innovation
JGU School/Centre: Jindal Global Business School
Depositing User: Mr. Luckey Pathan
Date Deposited: 08 Jul 2025 09:55
Last Modified: 08 Jul 2025 09:55
Official URL: https://www.igi-global.com/chapter/game-tactics-an...
URI: https://pure.jgu.edu.in/id/eprint/9794

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