@article {Drikos2020,
	title = {The contribution of skills in the interpretation of a volleyball set result with minimum score difference across genders},
	journal = {International Journal of Sports Science \& Coaching},
	volume = {15},
	year = {2020},
	month = {8},
	pages = {542-551},
	publisher = {SAGE Publications Inc.},
	abstract = {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{\textquoteright}s and women{\textquoteright}s volleyball. The data have been collected for men from 140 and for women from 98 teams{\textquoteright} performances in all sets finished with 2 points difference between the top four teams in the final ranking during the men{\textquoteright}s and women{\textquoteright}s Greek Volleyball League for five seasons (2013{\textendash}2014 until 2017{\textendash}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{\textquoteright}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 {\textquotedblleft}one{\textquotedblright} indicating a poorly executed skill and the value of {\textquotedblleft}six{\textquotedblright} 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{\textquoteright}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.},
	keywords = {Performance analysis, sport analytics, team sport},
	issn = {1747-9541},
	doi = {10.1177/1747954120930307},
	author = {Drikos, Sotirios and Sotiropoulos, Konstantinos and Karolina Barzouka and Angelonidis, Yannis}
}
