Built an ML model that predicts UFC fights and use AI to explain why [P]

Been a UFC fan for years and recently had some spare time to build a web app that uses Machine Learning to predict which fighter will win as a learning project. Surprisingly it does a very good job, the accuracy is around 71.6%, tweaked the algorithm so it factors in each division's dominant fighting style and gives a slight edge to fighters who match it. The ML pipeline, for those interested: Model: XGBoost binary classifier (binary:logistic) - predicts whether fighter A wins (1) or fighter B wins (0). Draws/no-contests are excluded from.