I am working on developing an predictive system which is capable of predicting the match winner in a football game.
I have 2 datasets,
Players related data- contains 88 features.
Match related data- contains 10 features.
As of now the solution I have thought is to develop a player rating based on different feature values, aggregate the rating based on team and add this as one of the feature to match related data and apply classification algorithm on match data.
As an initial stage, what would be the efficient way to provide ratings to all the players ?
Is there any other better solution so that I can also include players quality in predicting the match outcome rather than just depending on precious match results.?
Thanks in advance