Author(s): X Xiang Qian, G Korobeynikov and L Korobeynikova

Abstract:
The study aimed to establish a general framework for the analysis of the athletes’ competition videos through two badminton games (n=5 sets) between Kento Momota and Viktor Axelsen. Version 3.8 of the data analysis software Python was used. The results of the study showed that for Momota and Axelsen, the percentages of winning long rallies were 52.05 and 46.48, respectively and the percentages of winning in monster rallies were 62.50 and 57.14, respectively. When the number of shots in a rally was greater than 14.40, the rallies won by Momota and Axelsen were 7.60 and 6.60, respectively. And winner of the subsequent rally after 14.40, the rallies won by the two were 9.40 rallies and 4.40 rallies. When Momota hit less diagonally in the subsequent rally, he won 58 of 90 rallies, with a success rate of 64.44%. Therefore, the three hypotheses of two variables and their quantitative research resulted in the hypothesis of a significance level of p ≤ 0.01, respectively. the theoretical contribution of this article is to put forward a research on the video of the athlete’s game and construct an effective theoretical model, which provide a reference for the coaching team and the athletes.

DOI: 10.22271/kheljournal.2021.v8.i3e.2095

Pages: 275-279  |  722 Views  172 Downloads

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