Managing bi-directional synergy formation during competitive performance is of chief importance as such co-existing processes allow enhancing team functionality (Ribeiro et al., 2019a). Nevertheless, ascertaining the interplay of global-to-local and local-to-global self-organizing tendencies is challenging as it requires the adoption of adequate tools and methods to assess the complexity of interrelated levels (from micro-meso- macro levels). Therefore, our aim is to provide a brief demonstration on how multilevel hypernetworks (Ribeiro et al., 2019b), a novel and potent methodological approach, can be used to capture the bi- directional synergy formation processes during competitive performance. The positional raw data (2D) of twenty- eight male professional football players (22 starting players and 6 substitutes) was provided by STATS. These data were acquired through a multiple-camera match analysis system from which the movements of all 28 players performed during the match were recorded with the cameras placed at the top of the stadium. The frames were processed at 1Hz using an automated system that synchronized the video files. The effective playing area was 68m wide and 105m long. A computer procedure for calculating the simplices’ hyperedges, set with the proximity-based criteria, was conducted using GNU Octave version 4.4.1 and implemented to each frame of the match. A visual representation of multilevel hypernetworks regarding four consecutive frames of the match was used to verify variations in the number and types of simplices. Variations in the number and types of simplices were observed and involved ongoing and simultaneous changes in global topology (i.e., topological evolution) and local dynamics (through players’ reorganization of team synergies). Multilevel hypernetworks seem to constitute an adequate and sophisticated method for capturing the bi-directional synergy formation processes in football teams.

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