AI in Sports Analytics for Player Performance

Abstract

The incorporation of Artificial Intelligence (AI) into sports analytics is revolutionizing how teams evaluate player performance and mitigate injuries. Traditional methods for evaluating and calculating the performance is less accurate whereas AI-powered models utilize machine learning algorithms to deliver data-driven insights with enhanced precision, greater accuracy and efficiency. Machine Learning Techniques such as Random Forest for forecasting performance and K-Means clustering for segmenting players. A Long Short-Term Memory performance and injury risks based on historical match data.