Modern sports increasingly rely on digital analytics and precise data to enhance performance and gain competitive advantage. In this context, Artificial Intelligence plays a crucial role in analyzing player performance and providing data-driven recommendations. Intelligent systems collect movement and physiological data using wearable sensors and computer vision technologies. Machine learning algorithms analyze this information to extract key performance indicators such as speed, passing accuracy, energy expenditure, and movement patterns. These insights enable coaches to design personalized training programs tailored to each player’s strengths and weaknesses. AI also contributes to injury prevention by predicting physical fatigue and identifying abnormal movement patterns. Moreover, AI can analyze opponent performance and support data-driven tactical strategies, giving teams a significant competitive edge. However, effective use of these technologies requires careful data management and protection of sensitive sports information. In conclusion, Artificial Intelligence represents a transformative advancement in sports, integrating science and technology to enhance athletic performance and achieve sustainable competitive success.