Modeling

The behavior of complex systems such as a soccer game or a human body is difficult to predict by pure observation due to the high number of system components and the even higher number of their interactions. At best, very experienced experts such as coaches have the possibility to capture and possibly also predict such dynamics due to their experience and the associated targeted reduction capability. The modeling discussed in this chapter goes this way, by targeted reduction of system components and system behavior to capture the essential structures and dynamics and make them accessible to a simulative calculation. Specifically, for the case of attack- dynamics in soccer, a model is presented that identifies attack and defense formations on the basis of player positions, and from this identifies interaction types and helps to predict their success. Based on this model, it is then possible to present dynamic indicators of success.