> They also found that the model was quite accurate in general, correctly predicting the outcome of all matches with approximately 75% accuracy. > Those teams

> They also found that the model was quite accurate in general, correctly predicting the outcome of all matches with approximately 75% accuracy. > Those teams that were well financed were more likely to win most of their matches Well, no shit. I wonder if they are the first to do something like this or if someone already figured out that throwing soccer stats into ML could bring some positive results. There's a lot of information out there available about teams, statistics, who scores most and when, so it would just be a matter of making sense of the data.. wouldn't it?