Systems and Methods for Player and Team Modelling and Prediction in Sports and Games

A system and method are provided for processing game data to generate predictions for hypothetical or real future games. The method includes receiving input data comprising at least one of: i) historical data for one or more previous games, comprising box score information, or ii) play-by-play game data for one or more previous games; and transforming the input data into an abstraction space in which the abstraction space provides an abstraction comprising a numerical representation of player and/or team attributes. The method also includes mapping the numerical representation into one or more predictions of attributes of the games using at least one machine learning technique; and providing output data comprising the one or more predictions of attributes of the games.