Miroslav Smajic¹, Ksenija Korac¹, Nebojsa Cokorilo¹, Milica Savic¹, Tiana Kuljanin¹, Bogdan Tomic²

¹Univerzitet u Novom Sadu, Fakultet za sport (Novi Sad, Srbija)
²Sportska Akademija (Beograd, Srbija)

DIFFERENCES IN STATISTICAL INDICATORS OF AUSTRALIAN OPEN 2014 FINALISTS IN MEN’S SINGLES COMPETITION

RAZLIKE U STATISTIČKIM POKAZATELJIMA FINALISTA AUSTRALIJAN OPENA 2014. GODINE U MUŠKOJ POJEDINAČNOJ KONKURENCIJI

Sport Mont 2015, XIII(43-44-45), 182-188

Abstract

An interdisciplinary approach to solving the problem of dealing with top tennis is becoming increasingly a requirement for further development and planning of the sport, because without cooperation with other sciences, comparing results between groups and individuals, there is no possibility of achieving top results (Roetert, 2003). The aim of the research is to determine the difference between a tennis player Wawrinka and Nadal finalist of Australian Open in 2014 in the singlel competition. Methods: A sample of entities represented the seven matches and their statistics for the two tennis players, Wawrinka and Nadal with the last Australian Open is played open in tennis men’s single competition. As a sample of observed parameters given of the 12 statistical indicators. Statistically significant difference between the two tennis players was analyzed by t-test. Results: Based on the analyzed parameters can be concluded that statistically significant differences in parameter Number of achieved aces, where Wawrinka was on average better for a little over nine aces per game (9.27 aces), in parameter Number of winners in the match, he was better for an average of 22.5 winners, while Nadal average was better in the parameter Percent of the loaded first service for 11.67% compared to Wawrinka. Discussion: Results of the research are somewhat consistent with the results of research carried out where it was determined that the statistical differences between the winners and losers are reflected in the following variables: the number of total points won, the number of unforced errors, the number of won winners, and there was no statistically significant difference in the variable number of double faults (Klassen et al, 2001).

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