The dynamics of team behaviour in games shows rather inhomogeneous distributions of the levels of activity and effectiveness, where phases of great effort are followed by phases of reduced activities, which are used by the opponent team for increasing its pressure. Lames (Lames, 2006) measured the scoring effectiveness depending on the aggregated numbers of ball possessions that formed a non-linear transformation of the time axis. The results were diagrams like that in Figure 1, where high respectively low performance intervals of both of the teams can alternate, follow and overlap each other or even can appear concurrently, as is marked by the segments A to E. Based on the interpretation that the subsequent effectiveness of the one team is a kind of performance, which in a delayed way is caused by the past and present pressure or load from the opponent team - i.e. its activities and scoring — the game can be understood as a symmetrie process of load-performance-interaction. Such symmetrie feed-back-systems very often show an oscillating-circuit-behaviour, where both components show oscillations that are in anti-phase to each other (see segment B in Figure 1). Therefore a white-box-approach has been used for modelling, where two exemplars of PerPot (Performance Potential Metamodel, which originally was developed in order to analyse physiological adaptation processes, see Perl (2005)) model the respective dynamics of each team: On the internal level the team-specific dynamics of performance depending on fatigue and recovery have to be modelled. On the level of interactive feedback the output of the one team serves as input for the other team. Here e.g. scoring or pressure can cause positive effects like motivation and increased effort or negative effects like frustration and giving up. On the level of external control tactical or strategie aspects can determine, influence, or modify local as well as global behaviour.
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