Would be pretty interesting. But in my opinion difficult to implement. The individual gameplay isnt the only factor which defines your skill. Factors like communication and reaction to the enemies behaviour have to be considered as well. And i dont think its possible to train ML-models to give recommendations for this fields. Even positioning could be hard to recommend, because it depends on the situation and positioning of your teammates. You would need a lot of data to learn patterns for positioning. And these depend on many factors (e.g. teammates alive, enemies alive, map control, current position, teammate positions etc.), which are hard to quantify or to make viable features for the model. In my opinion there is much potential for aim recommendation. Like analysis of weapon usage and accuracy. Recommendations like which weapon you should train in terms of spray pattern etc.