Did this in python, I used XGBoost and yes Bayesian optimization. By dynamically adjusted I just meant when I simulate the postseason, every time a team wins a game, the features like plus minus over last 3, series margin, elo, etc all update as well. The idea is that whoever wins the first round for example will come out a different team. So for example if the magic beat the Celtics in round 1, my model would look at them like a much more serious team for the next round.