Competitive sports teamwork mode analogy method based on chordal graph visualization
A simulation method and sports technology, applied in special data processing applications, instruments, electronic digital data processing, etc., can solve problems such as no coordination information, obscure display forms, and score information cannot be effectively displayed, so as to improve reading and recognition cognitive ability, improved accuracy and comprehensiveness
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example 1
[0042] Example 1. Analysis of player coordination in a single game
[0043] According to the method and steps of the present invention, a visual design diagram (such as Figures 1 to 5 shown), each player is represented by a sector with different gray levels, and each player contains an assist sector (the assist score is represented by "player name_ast" in the figure) and a scoring sector (the score is represented by The "player name_score" indicates), the former indicates the situation of assisting teammates to score, and the latter indicates the scoring situation of receiving teammates' assists, such as figure 1 , figure 2 shown.
[0044] Will figure 2 Heat shown and figure 1 Compared to the Bulls shown, this visualization resolves to: Heat
[0045]Inside players score less. The Heat's three inside players Bosh, Haslem and Anderson scored only 31 points in total; while the Bulls' inside player Boozer scored 31 points alone, and the other scored 31 points. A main ins...
example 2
[0048] Example 2. Analysis of player cooperation mode based on historical data
[0049] Select the players of the Heat team to analyze the cooperation mode. Considering that there may be accidental errors in the data of a single game, the match records of the Heat team and 29 other teams in the season are selected as the data support. If player A and player B cooperate well If there are many, the distance between the two parties in the multidimensional scale analysis clustering is relatively close or they will be classified into the same cluster.
[0050] Through the relevant steps of the above-mentioned multi-dimensional scale analysis method, the clustering diagram of the Heat players in the two-dimensional space can finally be obtained, as shown in Figure 5 shown. As can be seen in the picture, the four starters James, Wade, Bosh and Chalmers often assist and cooperate with each other, while the four substitute players Cole, Lewis, Beasley and Anderson gather together. F...
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