Strategic insights in kabaddi: Applying game theory and mathematical modeling for enhanced performance

This paper explores the application of game theory and mathematical modeling in Kabaddi, a dynamic contact sport requiring strategic decision-making. By analyzing the interactions between raiders and defenders through game-theoretic models, insights are gained into optimal strategies for both offense and defense. The study discusses key concepts such as mixed-strategy Nash equilibria and Bayesian games, highlighting their relevance in Kabaddi strategy. Challenges, including the assumption of rationality, real-time decision complexities, and data quality issues, are addressed. Future directions include refining models to better reflect real-time play, improving data collection methods, and integrating theoretical insights into practical coaching. The application of these mathematical approaches promises to enhance strategic planning and performance in Kabaddi.