YUVA-SQ: A Cognitive Scouting Model for The Beautiful Game

The “Beautiful Game” of football has adapted itself to the world of modernisation and globalisation. Collecting game intelligence data through talent scouting and tactical scouting has emerged as a key factor in boosting the football club economy. From being an instinct-based identification of the right talent to the right moves, scouting models have now grown to be a technologically advanced platform for unlocking the right player talent pool. With huge unstructured imaging and numerical data gathered from across multiple clubs and games, this analytics needs advanced Artificial Intelligence (AI) based analytical models to work on big data sets, for an accurate set of predictive outcomes. As football provides a massive temporal strategy space, highly rational on-field negotiations and team-to-team interactions decide the next move in the mind game. With the help of a case study, our paper drives in the need for a cognitive scouting model like YUVA-SQ that go a long way in on-field and off-field high level decision making towards winning a game.