@article {Drikos2011,
	title = {Multivariate assessment of selected performance indicators in relation to the type and result of a typical set in men{\textquoteright}s elite volleyball},
	journal = {International Journal of Performance Analysis in Sport},
	volume = {11},
	year = {2011},
	pages = {85-95},
	abstract = {The aim of this study was to identify volleyball performance indicators that best discriminate between winning and losing teams in a set according to set final score differences. The data were collected from teams{\textquoteright} performances (N=350) in all sets played during the 2009 Men{\textquoteright}s European Volleyball Championship in Turkey. Clusters analysis established three different groups of sets according to set final score difference: 2 points (ambivalent), 3-5 points (safe), >5 points (unbalanced). A 3x2 MANOVA (type of set x type of result) was then performed on 9 performance indicators reflecting \% expressions of four basic skills of the game (serve, pass, attack, block). The analysis revealed significant multivariate differences in type of set, in type of results, and in their interaction. A follow-up Discriminant Analysis showed that effectiveness of attack is the most important performance indicator for all types of sets, far more for the ambivalent ones. The discriminant function correctly classified increasing \% of cases with increase in score difference. Especially for ambivalent sets 67.3\% were correctly classified, letting some space for further improving the critical performance indicators. The results suggest that training of a men{\textquoteright}s volleyball team should emphasize more to improve offensive abilities.},
	keywords = {Game analysis, set characteristics},
	issn = {14748185},
	doi = {10.1080/24748668.2011.11868531},
	author = {Drikos, Sotirios and GEORGE VAGENAS}
}
