t r a c t s A b s t r a c t sP e r f o r m a n c e A n a l y s i s P e r f o r m a n c e A n a l y s i s W O R K S H O P W O R K S H O P A p r i l 2 n d A p r i l 2 n d --5 t h , 2 0 1 3 5 t h , 2 0 1 3 --A l i c a n t e , S p a i n A l i c a n t e , S p a i n • Categorization of the variables.
INDIVIDUAL SPORTS a) MARCIAL ARTS b) TRIATHLON c) LONG JUMP d) GOLF e) SKATING
OTHER SPORTS a) RACKET b) ROWING c) RHYTHMIC GYMNASTICS d) SAILING e) ATHLETICS f) VALENCIAL BALL g) SWIMMING
PYSICAL ACTIVITY AND HEALTH
POSTERS & E-POSTERS 1. TEAM SPORTSA• Data downloaded to Excel by the analysis program.• Data processed with SPSS.• Statistically significant p<0.5 and highly significant p>0.01.The results of this analysis provide relevant information to identify various aspects that should be considered, both in analysis and interpretation of the game action, in the identification and organization of the contents for teaching and training this sport. This presentation will explore the functions and properties of Varioo Knowledge Bank.• Search for information, but save those important websites.• Create a complex, multiple collection and use it as an online directory.• Use your collected links repeatedly as online bookmarks.• Use and re-arrange collections of others.• Use one of your personalized collection as your online starting page.• Add your selected online literature collections to quick share with target audiences -students, research colleagues or friends?• Collect the website addresses of your colleagues, friends, etc., for quick access to multiple sites of information.The overall structure of VARIOO will be explained and the relative position of SPN defined.The benefits to students, staff and universities will be explored and the potential of this knowledge base, to voluntary organisations such as ISPAS and the INSHS Network, will be opened up to the delegates. Dawkins, David and Mills (1997) up to Rees, G., James, N. and Vučković, G. (2011). A number of the early research papers suffered because of the lack of understanding the importance of reliability of objective observation and the properties of performance indicators that more recent research has highlighted. The use of action variables will be presented and how we determine which are important through multivariate analyses of events? How do we know when we have enough data for a stable profile and what can we do with only one or two matches to analyse?The profiles defined by these performance indicators can be enhanced and complemented by the use of qualitative data, analyses of perturbations in the match and using 'momentum' analyses of positive and negative skill executions during the match.These methodologies will be explored and examples used to demonstrate where performance analysis of soccer will be taking us over the next decade.
Ks. 5 Applied Performance Analysis in Elite Rugby Union
Michael T Hughes
PGIR, Bath, UKTeam performance in rugby has typically been assessed through the comparison of winning and losing teams, however, the distinction betw...