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他或她是乒乓球混合双打比赛中的主力选手吗?

Is he or she the main player in table tennis mixed doubles?

作者信息

Zhou Zheng, Zhang Hui

机构信息

Department of Sport Science, College of Education, Zhejiang University, Zhejiang, China.

出版信息

BMC Sports Sci Med Rehabil. 2023 Jan 4;15(1):3. doi: 10.1186/s13102-022-00612-0.

DOI:10.1186/s13102-022-00612-0
PMID:36600312
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9811749/
Abstract

BACKGROUND

Since mixed doubles have been set up in the table tennis competition of the 2020 Tokyo Olympic Games, coaches and players have paid increasing attention to mixed doubles matches. This study aims to compare and analyse male and female performance in the different contexts of table tennis mixed doubles as well as the impact of their performance on the probability of winning matches.

METHODS

100 matches between the top 30 mixed doubles were selected (based on the world rankings for 2019 to 2021) as samples. According to the stroke order of a mixed doubles match, the players are divided into four groups: male versus male (P), male versus female (P), female versus male (P) and female versus female (P). Then, new methods with concepts are proposed to analyse stroke performance by four groups of players in various competition contexts of mixed doubles.

RESULTS

(1) The stroke performance in the first four strokes was much better than that in the after four strokes (P < 0.05), and males performed better than female players in the first four strokes (P < 0.05). (2) The stroke performance of each group for winning matches was significantly better than that for losing matches (P < 0.01). (3) Players in each group performed better (P < 0.01) in the ahead and under control states than in the behind and lost control states. However, most stroke performance within the four groups was not significantly different in different states. (4) The impact of scoring rates by different groups on the winning probability of a mixed doubles match from high to low was P > P > P > P. (5) In the actual competition, the percentage of female players serving first in each game is 79.64%, and the percentage of the stroke group of female players serving to female players receiving (P) is 58.25%.

CONCLUSION

This study considers several competition contexts to analyse the performance of male and female players in table tennis mixed doubles. We propose that the stroke performance of male versus female players is the most important factor affecting the results of mixed doubles matches. In addition, selecting the first server or first receiver in each game reasonably and analysing the stroke orders emphatically are also very important in mixed doubles.

摘要

背景

自2020年东京奥运会乒乓球比赛设立混合双打项目以来,教练和运动员对混合双打比赛的关注度日益提高。本研究旨在比较和分析乒乓球混合双打不同情境下男女运动员的表现,以及他们的表现对比赛获胜概率的影响。

方法

选取世界排名前30的混合双打选手之间的100场比赛(基于2019年至2021年的世界排名)作为样本。根据混合双打比赛的击球顺序,将运动员分为四组:男对男(P)、男对女(P)、女对男(P)和女对女(P)。然后,提出带有概念的新方法,以分析混合双打各种比赛情境下四组运动员的击球表现。

结果

(1)前四板的击球表现明显优于后四板(P < 0.05),且在前四板中男性运动员的表现优于女性运动员(P < 0.05)。(2)每组在赢球比赛中的击球表现明显优于输球比赛(P < 0.01)。(3)每组运动员在领先和可控状态下的表现优于落后和失控状态(P < 0.01)。然而,四组内的大多数击球表现在不同状态下无显著差异。(4)不同组得分率对混合双打比赛获胜概率的影响由高到低为P > P > P > P。(5)在实际比赛中,每场比赛女运动员率先发球的比例为79.64%,女运动员发球给女运动员接发球的击球组比例为58.25%。

结论

本研究考虑了多种比赛情境来分析乒乓球混合双打项目中男女运动员的表现。我们认为,男对女运动员的击球表现是影响混合双打比赛结果的最重要因素。此外,在混合双打中合理选择每场比赛的第一发球人或第一接发球人,并着重分析击球顺序也非常重要。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ce81/9811749/5831a304d0ac/13102_2022_612_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ce81/9811749/556352e1002e/13102_2022_612_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ce81/9811749/9564ab6b8c3e/13102_2022_612_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ce81/9811749/f85deb98680f/13102_2022_612_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ce81/9811749/90ebaaff9e9f/13102_2022_612_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ce81/9811749/961484dfea02/13102_2022_612_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ce81/9811749/cb6afc78f00c/13102_2022_612_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ce81/9811749/5981d9b4f9ba/13102_2022_612_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ce81/9811749/5831a304d0ac/13102_2022_612_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ce81/9811749/556352e1002e/13102_2022_612_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ce81/9811749/9564ab6b8c3e/13102_2022_612_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ce81/9811749/f85deb98680f/13102_2022_612_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ce81/9811749/90ebaaff9e9f/13102_2022_612_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ce81/9811749/961484dfea02/13102_2022_612_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ce81/9811749/cb6afc78f00c/13102_2022_612_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ce81/9811749/5981d9b4f9ba/13102_2022_612_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ce81/9811749/5831a304d0ac/13102_2022_612_Fig8_HTML.jpg

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