The aim of the present study was to identify volleyball skills that best discriminate between winning and losing in a set with the minimum score difference of men’s and women’s volleyball. The data have been collected for men from 140 and for women from 98 teams’ performances in all sets finished with 2 points difference between the top four teams in the final ranking during the men’s and women’s Greek Volleyball League for five seasons (2013–2014 until 2017–2018). The primary recorded and evaluated skills from 119 sets for men and women respectively are: 3422 and 2419 serves, 2916 and 2120 passes, 2566 and 1656 attacks after serve’s pass, 1518 and 1804 counter-attacks (after defense) and 1595 and 818 blocks. For the evaluation scale of each skill, a six-level ordinal scale was employed, with the value of “one” indicating a poorly executed skill and the value of “six” an excellent executed skill. The analysis revealed significant multivariate differences in gender and in the type of result and not in their interaction. A follow-up discriminant analysis showed that attack 1 is the most important performance indicator for male teams. Meanwhile, for female teams, the most important performance indicators are winning attack after serve’s pass but also counter-attack. The discriminant function classified correctly 67% and 58%, for men and women respectively, allowing space for further improving the critical performance indicators for both genders.

中文翻译：

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不同性别得分差异最小的排球比赛结果解释中技巧的贡献

本研究的目的是确定在男女排球得分差异最小的一组中最能区分输赢的排球技巧。数据收集了 140 支男子队和 98 支女子队在所有比赛中的表现，在男子和女子希腊排球联赛的五个赛季（2013-2014 年至 2014 年）中，最终排名前四名球队之间的成绩相差 2 分。 2017-2018 年）。男、女119组的主要记录和评估技能分别是：3422和2419次发球、2916次和2120次传球、2566次和1656次发球后进攻、1518次和1804次反击（防守后）和1595次和818次盖帽。各项技能的评价量表采用六级顺序量表，值“一”表示技能执行不佳，值“六”表示执行技能出色。分析揭示了性别和结果类型的显着多变量差异，而不是它们的相互作用。后续的判别分析表明，进攻1是男队最重要的表现指标。同时，对于女队来说，最重要的表现指标是发球后攻胜和反击。判别函数对男性和女性的正确分类率分别为 67% 和 58%，为进一步改进两性的关键绩效指标留出空间。后续的判别分析表明，进攻1是男队最重要的表现指标。同时，对于女队来说，最重要的表现指标是发球后攻胜和反击。判别函数对男性和女性的正确分类率分别为 67% 和 58%，为进一步改进两性的关键绩效指标留出空间。后续的判别分析表明，进攻1是男队最重要的表现指标。同时，对于女队来说，最重要的表现指标是发球后攻胜和反击。判别函数对男性和女性的正确分类率分别为 67% 和 58%，为进一步改进两性的关键绩效指标留出空间。