ML for UFC predictions: logistic regression vs random forest? [P]

Hello everyone, I am pretty new to anything ML related so bear with me. I’ve been working on a UFC fight prediction project in Python using pandas + scikit-learn. Right now I’m using logistic regression since the output is binary (fighter A wins or fighter B wins). I’m currently using features like striking accuracy, takedown averages, reach, height, and age from historical UFC data, then generating predicted probabilities for fights and parlays. I'm interested in pushing this project to assist with round robin betting.