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ORAL ABSTRACTS - FRIDAY, 22 MAY 2015S38.2Talent development in football and socio-spatial factors as possible key constraints. Towardsan ideal training modelJesús Martínez Martínez, J Serra-Olivares, JC Pastor-Vicedo, S González-VílloraUniversity of Castilla-La Mancha, Department of Physical Education, Albacete, SpainMost studies related to the talent development in football have been one-dimensional. Althoughthere are multi-dimensional analyzes under the dynamical ecology perspective, few studies haveexplored the influential socio-spatial factors on the development of talent. The purpose of this studywas to analyze the differences in the international representation of clubs (n = 821) and nationalteams (n = 59) regarding the development of the players who participated in the FIFA World Cup2014. Clubs and national teams were classified into ranking and divided into quartiles by thenumber of players trained from 15 to 23 years (clubs and national teams that had trained thoseplayers for at least three years between these ages), and the number of U-23 matches played bythose players. Significant differences were observed between the clubs in the number of players thatthey trained (p < .05) and the number of U-23 matches that the players played (p < .05). It was alsoobserved between the national teams (p < .05). Some clubs like Feyenoord Rotterdam andBarcelona formed up to nine players. At national level France topped the table with England andGermany. The findings indicate the need to analyze what kind of practices are the top players doingwithin the period between 15 and 23 years. There is the possibility that these factors were sociospatialconstraints potential keys for talent development in football.Keywords: socio-spatial factors, talent development, football, constraints.S38.3Patterns of motor abilities and technical skills as predictors of success for young elite footballplayersMarc Zibung, C Zuber, A ConzelmannUniversity of Bern, Institute of Sport Science, Bern, SwitzerlandSport-motor tests play an important role in football talent selections. However, single tests representonly parts of the complex game performance. The best game performance therefore does notnecessarily need to go hand in hand with the best results in all tests of a test battery. Considering thecomplexity of the game performance appropriately, a holistic perspective together with a personorientedapproach are applied. Thereby, systems consisting of several variables are identified andanalysed in a longitudinal study. Following this idea, six sport-motor tests were aggregated into asubsystem. 106 young male elite football players were tested three times (2011, 2012, 2013; Mage,t2011=12.26, SD=0.29). One year later (2014) their performance level was enquired. Data wereanalysed using the LICUR method, a cluster analytical method. Four patterns were identified, whichremained stable at all measuring points. The players frequently show intraindividual andstructurally similar patterns over time. At the third measuring point, a pattern occurred out of whichthe players are significantly more likely to advance to the highest performance level one year later.This pattern appears consistently above average, but does not always show best test performances.160