  This paper represents an analysis on the momentum of tennis match. And due to
Generalization performance of it, it can be helpful in constructing a system to
predict the result of sports game and analyze the performance of player based
on the Technical statistics. We First use hidden markov models to predict the
momentum which is defined as the performance of players. Then we use Xgboost to
prove the significance of momentum. Finally we use LightGBM to evaluate the
performance of our model and use SHAP feature importance ranking and weight
analysis to find the key points that affect the performance of players.
