Sports analytics utilizes statistical inference and machine learning techniques to analyze data collected from sporting events. By examining multi-sensor data, such as the ones generated during soccer matches, analysts can gain insights into player movements, team tactics, spatial dynamics, and overall game performance. Potential applications include predicting player movements using time series analysis based on historical actions.