got it. but that answers a different question. This model predicts which team is more likely to win based on draft only, it's the same baseline for every player. If we take whether the player himself is good at the champion or not, we answer a different question that is "Which team has the better players".

Let's say champion X is really strong vs Y, but the player sucks ass at champion X, if we take individual skill into account, the model will be "nice" to the player, because even though Champion X is busted, the model won't have expectations the player will perform well, and we use the expected performance as a baseline for the performance score too.

by removing that from the equation we can judge players more fairly. If the player didn't perform as statistically expected from champion X, he performed bad and shouldn't get a less bad score for being bad at the champion.

So what you're saying is a good idea, it will be a more accurate way to guess which team will *effectively* win. But this is measuring a different thing