I am planning to create a model to predict football match outcomes using various machine learning techniques. The columns of the collected data include Home, Away, Home Team Goals, Away Team Goals, Home Team Possession, Away Team Possession, Home Team Shots on Target, Away Team Shots on Target, etc. While it seems straightforward to use this data to predict match outcomes, these figures are only available after the match has ended. I believe we should use data that is available before the match, such as club value, points, and recent match results, to make predictions. Therefore, I want the columns of the training data to include both match data and pre-match data, and I want to make predictions using pre-match data. I am also curious about what this concept is called in machine learning.
Im just finding few paper right now but i cant find same concept as mine.
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