Talent identification and development in soccer

Research Institute for Sport and Exercise Sciences, Liverpool John Moores University, UK.
Journal of Sports Sciences (Impact Factor: 2.25). 10/2000; 18(9):657-67. DOI: 10.1080/02640410050120041
Source: PubMed


In this review, we attempt to integrate the main research findings concerned with talent identification and development in soccer. Research approaches in anthropometry, physiology, psychology and sociology are considered and, where possible, integrated. Although some progress has been made in identifying correlates of playing success, it appears that no unique characteristics can be isolated with confidence. Both biological and behavioural scientists have indicated a strong genetic component in performance of sports such as soccer; nevertheless, the influence of systematic training and development programmes should not be underestimated. We conclude that the sport and exercise sciences have an important support role in the processes of identifying, monitoring and nurturing talented soccer players towards realizing their potential.

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    • "Talent identification and development both play a crucial role in the pursuit of excellence within elite sport (Vaeyens, Lenoir, Williams, & Philippaerts, 2008; Williams & Reilly, 2000). Consequently, ensuring that talent-identified individuals are effectively developed is crucial for maximising their likelihood of longitudinal success (Baker, Côté, & Abernethy, 2003; Côté, 1999; Côté, Baker, & Abernethy, 2003). "
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    ABSTRACT: This study compared the athletic movement skill between elite Under 18 (U18) Australian football (AF) and senior Australian Football League (AFL) players. The U18 sample (n = 13; 17.7 ± 0.6 y) were representatives of an elite talent development program. The AFL players were classified accordingly; Group 1 (1-4 AFL seasons; n = 20; 21.2 ± 1.9 y) and Group 2 (> 5 AFL seasons; n = 14; 26.3 ± 2.6 y). Participants performed an athletic movement skill assessment, inclusive of five foundational movements. Each movement was scored across three assessment points using a three point scale. Total score for each movement (maximum of nine) and overall score (maximum of 63) were used as criterions. MANOVA tested the effect of developmental group (3 levels) on the criterions. Receiver operating curves were built to examine the discriminant capability of the overall score. A significant effect of developmental group was noted, with the U18 sample having a lower mean total score for four of the five movements. Overall scores of 49/63 and 50/63 discriminated the elite U18 sample from Group 1 and Group 2, respectively. U18 players may have less developed athletic movement skills when compared to their senior AFL counterparts.
    Journal of Sports Sciences 10/2015; DOI:10.1080/02640414.2015.1107185 · 2.25 Impact Factor
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    • "Notes 1. Williams and Reilly (2000) "

    International Review of Sport and Exercise Psychology 09/2015; DOI:10.1080/1750984X.2015.1068830 · 3.35 Impact Factor
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    • "The selection, development and professional guidance of young players is a priority for many top soccer clubs in order to maintain their sporting and financial status (Vaeyens et al., 2006). It is essential, however, to understand the key elements of talent identification and the development process for soccer (Martindale et al., 2005; Williams & Franks, 1998). Given a lack of discrete objective measures of performance, as in individual sports, identifying soccer talent is complex and requires a multivariate approach (Hoare & Warr, 2000; Williams & Franks; Reilly et al., 2000). "
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    ABSTRACT: The aim of the present study was to determine biochemical profile of youth national soccer teams and to compare the values of nine biochemical parameters between three Serbian youth national teams (under 14, 15 and 16 years old), as well as between soccer players and non-athletes. Eighty young soccer players and thirty non-athletes participated in the study. Nine biochemical parameters (glucose, cholesterol, triglycerides, urea, creatinine, total bilirubin, AST (SGOT), ALT (SGPT), iron) were measured. In order to determine the significance of differences between the groups on a multivariate level a multivariate analysis of variance (MANOVA) was administered, and to test the differences between the groups on an univariate level a univariate analysis of variance (ANOVA) was applied. Statistically significant differences were found between groups (soccer players up to 14, 15 and 16 years of age) on a multivariate level of the applied biochemical variables (MANOVA, p= 0.00). ANOVA also revealed significant differences in Creatinine (p= 0.00), Total bilirubin (p= 0.00) and ALT (SGPT) (p= 0.02). Statistically significant differences in the applied variables were found between soccer players and non-athletes on a multivariate level (MANOVA p= 0.00). ANOVA also revealed significant differences in Glucose, Cholesterol, Triglycerides, Creatinine, Total bilirubin, ALT (SGPT) and Iron (p= 0.00) between soccer players and non-athletes, but there were no statistically significant differences in other variables (AST (SGOT) and Urea). It was concluded that there is significant difference in almost all variables (glucose, cholesterol, triglycerides, etc.), except AST (SGOT) and Urea between soccer players and non-athletes. From a practical point of view, the clinician has to take into account not only age, but also training status of individuals when evaluating their blood tests.
    International Journal of Morphology 06/2015; 33(2):483-490. DOI:10.4067/S0717-95022015000200013 · 0.32 Impact Factor
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