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Clarifying the Sharpened network diversity in French flair rugby
- Koh Sasaki
- Mitsuyuki Nakayama
- Eiji Kutsuki
- Kensuke Iwabuchi
- Takumi Yamamoto
- Ichiro Watanabe
- Hironobu Shimozono
- Jun Murakami
- Takashi Katsuta
- Takuo Furukawa
- Ichiro Kono
This study aimed that open rugby, known as flair rugby, drives the modern game by analyzing the 2022-2023 international test matches of France representative team. We examined the superiority of a spatial tactic called French flair rugby. First, the advantage of creating a relatively large number of networks was demonstrated. From the transitivity analysis of the network (CUG test; Conditional Uniform Graph test), the cooperation occurs at a higher level than in other networks. The network graph structure showed which players functioned centrally at which time of match as unusual positions, i.e., multi-position and multi-skill. In this study, we operationally defined this diversity as the sum of the standardized eigenvector centralities. We found that the increase in the time-series score balance tended to reduce and sharpened the diversity. As a result of examining a scale-free model in network theory, Sharpening the diversity (central and transitive role players) tended of the network power law scaling.
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- Ryosuke Ozaki
- Yuji Ozawa
In this study, we analyzed match videos of a university Judo Player (Player A) utilizing the SPLYZA TEAMS matched video analysis tool. This is the first case study of Judo match analysis using the SPLYZA TEAMS software. A total of 13 matches involving Player A were analyzed in this study. Prior to the analysis, Player A formulated three hypotheses for the matching implementation. The analysis rejected two of the three hypotheses established at the beginning of the study. However, a notable trend emerged, revealing a proclivity for the Kumite situation for initiating Nage-waza from disadvantaged positions in matches that resulted in a loss. This novel finding was obtained by analyzing the data using the SPLYZA TEAMS software.
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- Koh Sasaki
- Mitsuyuki Nakayama
- Kensuke Iwabuch
- Takumi Yamamoto
- Ichiro Watanabe
- Hironobu Shimozono
- Jun Murakami
- Takashi Katsuta
- Ichiro Kono
The aim of this study was to clarify the attack-defence performances of rugby sevens in 2010-2020 seasons, 4,074 matches. Firstly, averaged try scoring rate and try conceding rate of every teams were drawn in two-dimensions space. Hypothesis 1 was that the achievement values of the upper teams could be clarified. Receiver-Operator-Curve analysis was used to understand how attack-defence indicators correctly diagnose the world rankings. Secondly, the 22m entry attack-defence indicators were drawn in two-dimensional space. Clustering analysis of ranking teams was executed using try scoring rate, try conceding rate, 22m attack-defence indicators. Hypothesis 2 was that the clustering characteristics of upper teams can be clarified by these indexes. Thirdly, network analysis was executed to clarify what kind of characteristic in relationship among the ranking, team performance, and individual performance. The ROC analysis showed the specific achievement level of the top-ranking teams with high accuracy (hypothesis 1). Cluster analysis extracted 4 groups. The gradual attack defence standard values were obtained (hypothesis 2). Network analysis showed the relationship structure among the ranking, the team performance, and the individual performance with some interesting results concerned the dependence tendency changing on the ranking stage (hypothesis 3).