The requirements for soccer play are multifactorial and distinguishing characteristics of elite players can be investigated using multivariate analysis. The aim of the present study was to apply a comprehensive test battery to young players with a view to distinguishing between elite and sub-elite groups on the basis of performance on test items. Thirty-one (16 elite, 15 sub-elite) young players matched for chronological age (15-16 years) and body size were studied. Test items included anthropometric (n = 15), physiological (n = 8), psychological (n = 3) and soccer-specific skills (n = 2) tests. Variables were split into separate groups according to somatotype, body composition, body size, speed, endurance, performance measures, technical skill, anticipation, anxiety and task and ego orientation for purposes of univariate and multivariate analysis of variance and stepwise discriminant function analysis. The most discriminating of the measures were agility, sprint time, ego orientation and anticipation skill. The elite players were also significantly leaner, possessed more aerobic power (9.0 +/- 1.7 vs 55.5 +/- 3.8 ml x kg(-1) x min(-1)) and were more tolerant of fatigue (P < 0.05). They were also better at dribbling the ball, but not shooting. We conclude that the test battery used may be useful in establishing baseline reference data for young players being selected onto specialized development programmes.

Many children strive to attain excellence in sport. However, although talent identification and development programmes have gained popularity in recent decades, there remains a lack of consensus in relation to how talent should be defined or identified and there is no uniformly accepted theoretical framework to guide current practice. The success rates of talent identification and development programmes have rarely been assessed and the validity of the models applied remains highly debated. This article provides an overview of current knowledge in this area with special focus on problems associated with the identification of gifted adolescents. There is a growing agreement that traditional cross-sectional talent identification models are likely to exclude many, especially late maturing, 'promising' children from development programmes due to the dynamic and multidimensional nature of sport talent. A conceptual framework that acknowledges both genetic and environmental influences and considers the dynamic and multidimensional nature of sport talent is presented. The relevance of this model is highlighted and recommendations for future work provided. It is advocated that talent identification and development programmes should be dynamic and interconnected taking into consideration maturity status and the potential to develop rather than to exclude children at an early age. Finally, more representative real-world tasks should be developed and employed in a multidimensional design to increase the efficacy of talent identification and development programmes.

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The potential asymmetries in the birth-date distributions of youth soccer players across ten European countries (2175 age citations) were considered. First, we examined the birth-dates of players representing national youth teams in international competitions. Second, the birth-dates of players representing professional club teams in international youth tournaments were analysed. Kolmogorov-Smirnov tests were used to assess differences between observed and expected birth-date distributions. Regression analyses were employed to examine the relationship between month of birth and number of players in the different samples. The results showed an over-representation of players born in the first quarter of the selection year (from January to March) for all the national youth selections at the under-15 (U-15), U-16, U-17 and U-18 age categories, as well as for the UEFA U-16 tournaments and Meridian Cup. Players with a greater relative age are more likely to be identified as ''talented'' because of the likely physical advantages they have over their ''younger'' peers. Some options for reducing the relative age effect are offered.

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Experts acquire domain‐specific skills as a result of the activities in which they participate throughout their development. We examine the domain‐specific activities in which two groups of elite youth soccer players participated between six and 12 years of age. Our goal was to examine early participation differences between those who progressed to professional status at 16 years of age and those who did not. Data were contrasted to a control group of recreational‐level players and examined in the context of the Developmental Model of Sport Participation, which supports the importance of late specialization and early diversity between six and 12 years of age. The elite players who went on to attain professional status accumulated more hours per year in soccer play activities, but not in soccer practice, competition or other sports, between six and 12 years of age, compared with those who did not progress. The two elite groups averaged more hours per year in soccer practice compared with recreational‐level players, but not soccer play, competition or other sports. We propose the “early engagement hypothesis” to explain our results. Accordingly, practice and play in the primary sport between six and 12 years of age contributes to the development of expert performance in English soccer

We examined whether maturity, anthropometric profiles and fitness measures vary according to birth date distribution in elite, under‐14 youth academy soccer players. The selection year was divided into four quarters, with 160 male players grouped according to individual birth date. Players had their skeletal age determined and were assessed using a battery of standard anthropometric and physical performance tests. Players born across all quarters of the year were investigated for differences in the various performance characteristics using multi‐ and univariate analyses. An uneven birth distribution was observed, with players born early in the selection year highly represented (P<0.01). A significant difference in height was observed across quarters (P<0.01) with higher values reported in the earlier‐born players. No significant differences were observed across any of the fitness measures, although the trend was for players born in the first quarter to out‐perform peers born in the later quarters. These findings suggest that the relative age of the performer may not always be linked to a significant advantage in physical components. The selection criteria for entry into the academy may explain the present results.

In popular models of expertise and decision making in complex environments, such as the recognitionprimed decision (RPD) model and take-the-first (TTF) heuristic, expert and skilled decision makers are described as generating few response options and typically choose the best option first. To explain these behaviors, proponents of TTF have suggested that a negative relationship exists between the number of options generated and decision quality. In the current article, we use a prediction and situational option generation paradigm to assess perceptual-cognitive skill in the complex domain of soccer to determine whether these claims explain how decision makers make predictions about others in the environment.In three experiments we provide evidence to show that superior prediction performance was supported by a situation model-type mechanism as proposed by long-term working memory (LTWM) theory rather than simpler heuristics, such as TTF or RPD. The similarity between LTWM mechanisms and relevant macrocognitive processes is discussed. The data have important implications for how future experts should be trained and, in particular, for developing skilled comprehension, apprehension, and prediction skill.