Stochastic model for football's collective dynamics

In this paper, we study collective interaction dynamics emerging in the game of football-soccer. To do so, surveyed a database containing body-sensors traces measured during three professional football matches, where observed statistical patterns that used to propose stochastic model for players' motion field. The model, which is based on linear interactions, captures good approximation spatiotemporal team. Our theoretical framework, therefore, becomes an effective analytical tool uncover underlying cooperative mechanisms behind complexity plays. Moreover, showed it can provide handy support coaches evaluate teams' and performances both training sessions competitive scenarios.