ABSTRACT
The FCS ~ PMDS approach adopted for performance analysis demands that data gathering and processing be separated into three interrelated but independent stages: (1) examination of athletes' PMDS controlled resources through the dynamics and qualities of a system's self-organization; (2) evaluation of athletes' FCS by assessing stable (L-factor) or flowing (C-factor) proactive activities. This step provides the most powerful potential for correct DM, perturbing activity and obtaining an advantage in a game; and (3) analysis of competition performance as a realization of FCS ~ PMDS synthesis. Traditionally these diagnostics assess bodily systems and individual fitness by combining lab and field tests, creating an overall picture of an athlete's functional readiness for competition. Motion analysis is important because it represents field data about the real-time actualization of an athlete's motor, anthropological and energy potential. In contrast to individual games, in team games high level of agility was only investigated as the leading parameter of good self-organization.
