Football is known as “the world's number one sport”.  The victory of a football game requires the tacit cooperation of the team in addition to the individual's outstanding performance.  We analyze the passing data from the perspective of time and space. First, we set up a passing network, describing network parameters with network density, grid distance, and degree centrality.  Second, we use the weights of edges in the network and the centrality weights of nodes to identify network patterns, and pass nodes that exceed the threshold to identify whether the team configuration is dyadic or triadic. From the perspective of time, the number of passes per minute represents the rhythm of the game, and the number of consecutive passes per minute represents the degree of interference from the opponent. We analyze the rhythm and opponent’s influence to Huskies in games. From the perspective of space, we plot the passing trajectories of the first half and the second half in 2 games, and use clustering to obtain the habitual passing area of the Huskies. Finally, we analyze Pass flexibility to the team.

Yuhui Zhang, Xujie Fan, Wanhao Ma. Research on Team Strategy Based on Data Mining and Visualization. The Frontiers of Society, Science and Technology (2020) Vol. 2 Issue 6: 36-39. https://doi.org/10.25236/FSST.2020.020609.

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