Bodily Communication in Volleyball and New Data System

Abstract

Problem statement: To verify the incidence of performance analysis data of bodily communication in volleyball and the difference of method gathering data between traditional method and new one. It recognizes the technical skills that are involved in bodily communication aspects. Thus, it analyzes and quantifies three specific technical skills relating the attacker role and the setter one in relationship to defenders: (a) the second ball goes to the opposite court instead of setting for attacking; (b) the attack as fast as possible in the middle of the net; (c) the off speed hit instead of power spike over the block. To establish the difference between the traditional match analysis system and the new one. The methods of this study are complex. The coach trains the performance analyst how to analyze the three technical skills and to whom to attribute exactly the outcomes applying the defined and shared performance indicators. Approach: The analyst directly, that is in real time, recruits the data by hand notation when he observes the match and indirectly, that is in differed time, he recruits the data by using the performance analysis software with slow down and go back mode of the same actions that in hand notation system has just attributed to the bodily communication. The same analyst, by traditional match analysis system, analyzes the data of the same matches by traditional system. It compares the results of the new way performance analysis system and the old way. The sample is 26 matches of volleyball championship of the same team. Results: The results are significant in a new way of gathering data. Innovation bodily communication data system shows the percentage of three technical skills is about 14,5% for (b) the attack as fast as possible in the middle of the net, 8,5% (a) the second ball goes to the opposite court instead of setting for attacking and 6,5% (c) the off speed hit instead of power spike over the block. The percentage for categories of outcomes is 30% bodily communication, 18% fundamental outcomes, 17% adversary errors and 16% other kind of outcomes and 9% unknown outcomes. Conclusion: In conclusion the result shows the difference of the data between two performance analysis system and the significance of bodily communication outcomes on the performance. The percentage of bodily communication data is more significant of the other kinds of percentage of data. These data could help the coach to train the team for improving the analyzed technical skills in different mode utilizing this study and so, to create a methodological system training to enhance the performance for every skill.