Tennis; Machine learning

Forecasting  the winning matches of professional tennis players has a wide range of practical applications. We introduced an innovative approach to quantify and combine strategic and psychological momentum using the entropy weight method and analytic hierarchy process, and tested its effectiveness. Utilizing data from the Wimbledon Championship 2023, we constructed a support vector machine  model to predict the turning point and winner of each point, and optimized it using particle swarm optimization.