This talk represents a deep dive into an approach for predicting the results of football matches in the English Premier League (EPL) using Machine Learning algorithms. From historical data, a feature set was created that includes game data and historical team performance. This is considered as a virtual DNA of football games and teams, where features are regarded as genes that behave uniquely from one match to another. Predictions include the following: winner of the game (or draw), number of yellow cards, fouls committed, shots on target, number of corners, and number of goals (both teams combined)