Sounds like a plan. First step: gather the raw metrics—kills, deaths, assists, objective time, damage dealt, and the opponent’s skill rating. Then we’ll compute simple ratios like K/D, A/D, and objective control percentage. With those features we can fit a logistic regression or a random forest to predict win probability. Once we have the model, we’ll look at feature importance to see which stats actually drive the outcome. Let’s pull the data and get started.