Our implementation aims to enable users to explore profitable options on football (soccer) match, by employing the predictive power of machine learning algorithms applied on synthetic statistics compiled from users’ preferences together with odds offered from book makers.

By offering a vast array of options, coupled with numerous and representative data points, users can create their own statistics from existing results and effectively use these “features” for predictive purposes. Not only that, but they receive an overview of the significance for each of the used factors (football statistics & markets), in terms of computed statistical significance which provides feedback on what should be focused on or not