DFVA

DFVA processes athletes’ data during football matches to recognise automatically their performance in the match, together with the individual and team characteristics that emerge from this analysis. Deep learning techniques and neural networks extract quantitative and qualitative information about the performance and the tactics of teams and players.

The implementation combines open-source neural network frameworks with innovative pattern recognition and machine learning algorithms, adapted to the specific problems of football analytics.

Co-financed by Greece and the European Union (European Regional Development Fund) through the Operational Programme “Competitiveness, Entrepreneurship and Innovation” (EPAnEK), NSRF 2014–2020.