Creating a framework for talent identification and development in emerging football nations

References

• Baker J, Schorer J, Wattie N. 2018. Compromising talent: issues in identifying and selecting talent in sport. Quest. 70(1):48-63.
   Web of Science ®Google Scholar
• Bennett KJM, Novak AR, Pluss MA, Stevens CJ, Coutts AJ, Fransen J. 2017. The use of small-sided games to assess skill proficiency in youth soccer players: A talent identification tool. [Advanced online publication]. Sci Med Football. 1–6.
   Google Scholar
• Carling C, Le Gall F, Malina RM. 2012. Body size, skeletal maturity, and functional characteristics of elite academy soccer players on entry between 1992 and 2003. J Sports Sci. 30(15):1683–1693.
   PubMed Web of Science ®Google Scholar
• Christensen MK. 2009. “An eye for talent”: talent identification and the “practical sense” of top-level soccer coaches. Sociol Sport J. 26(3):365–382.
   Web of Science ®Google Scholar
• Cobley S, Baker J, Wattie N, McKenna J. 2009. Annual age-grouping and athlete development: a meta-analytical review of relative age effects in sport. Sports Med. 39(3):235–256.
   PubMed Web of Science ®Google Scholar
• Coelho-e-Silva MJ, Figueiredo A, Simões F, Seabra A, Natal A, Vaeyens R, … Malina RM. 2010. Discrimination of U-14 soccer players by level and position. Int J Sports Med. 31(11):790–796.
   PubMed Web of Science ®Google Scholar
• Côté J, Baker J, Abernethy B. 2003. From play to practice: A developmental framework for the acquisition of expertise in team sports. In: Starkes, J, Ericsson, KA, Eds. The development of elite athletes: recent advances in research on sport expertise. Champaign (IL): Human Kinetics; p. 89–113.
   Google Scholar
• Côté J, Baker J, Abernethy B. 2007. Practice and play in the development of sport expertise. In: Eklund, R, Tenenbaum, G, Eds. Handbook of sport psychology. Hoboken (NJ): Wiley; p. 184–202.
   Google Scholar
• Côté J, Lidor R, Hackfort D. 2009. ISSP position stand: to sample or to specialize? Seven postulates about youth sport activities that lead to continued participation and elite performance. Int J Sport Psychol. 7(1):7–17.
   Google Scholar
• Cripps AJ, Hopper LS, Joyce C. 2016. Coaches’ perceptions of long-term potential are biased by maturational variation. Int J Sports Sci Coach. 11(4):478–481.
   Web of Science ®Google Scholar
• Cumming SP, Brown DJ, Mitchell S, Bunce J, Hunt D, Hedges C, … Franklin E. 2018. Premier League academy soccer players’ experiences of competing in a tournament bio-banded for biological maturation. J Sports Sci. 36(7):757–765.
   PubMed Web of Science ®Google Scholar
• Cumming SP, Lloyd RS, Oliver JL, Eisenmann JC, Malina RM. 2017. Bio-banding in sport: applications to competition, talent identification, and strength and conditioning of youth athletes. Strength Conditioning J. 39(2):34–47.
   Web of Science ®Google Scholar
• Den Hartigh RJR, Van Der Steen S, Hakvoort B, Frencken WGP, Lemmink KAPM. 2017. Differences in game reading between selected and non-selected youth soccer players. J Sports Sci. 36(4):422–428.
   Web of Science ®Google Scholar
• Deprez D, Fransen J, Boone J, Lenoir M, Philippaerts RM, Vaeyens R. 2015a. Characteristics of high-level youth soccer players: variation by playing position. J Sports Sci. 33(3):243–254.
   PubMed Web of Science ®Google Scholar
• Deprez DN, Fransen J, Lenoir M, Philippaerts RM, Vaeyens R. 2015b. A retrospective study on anthropometrical, physical fitness, and motor coordination characteristics that influence dropout, contract status, and first-team playing time in high-level soccer players aged eight to eighteen years. J Strength Conditioning Res. 29(6):1692–1704.
   PubMed Web of Science ®Google Scholar
• Emmonds S, Till K, Jones B, Mellis M, Pears M. 2016. Anthropometric, speed, and endurance characteristics of English academy soccer players: do they influence obtaining a professional contract at 18 years of age? Int J Sports Sci Coach. 11(2):212–218.
   Web of Science ®Google Scholar
• Emrich E, Güllich A. 2016. The production of sporting success. In: Deutscher, C, Hovemann, G, Pawlowski, T, Thieme, L, Eds. Handbook of sport economics. Schorndorf: Hofmann; p. 139–162.
   Google Scholar
• Ericsson KA, Krampe RT, Tesch-Römer C. 1993. The role of deliberate practice in the acquisition of expert performance. Pscyhological Rev. 100(3):363–406.
   Web of Science ®Google Scholar
• Ericsson KA, Pool R. 2016. Peak: secrets from the new science of expertise. New York: Houghton Mifflin & Hardcourt.
   Google Scholar
• Fieldo. (2014). Icelandic premier league: the pepsi league. [accessed 2017 Nov 22]. http://blog.fieldoo.com/2014/03/urvalsdeild-pepsi-deildin-northern-lights-of-the-icelandic-premier-league-review/
   Google Scholar
• Figueiredo AJ, Gonçalves CE, Coelho-e-Silva MJ, Malina RM. 2009. Characteristics of youth soccer players who drop out, persit or move up. J Sports Sci. 27(9):883–891.
   PubMed Web of Science ®Google Scholar
• Ford PR, Carling C, Garces M, Margues M, Miguel C, Farrant A, … Williams AM. 2012. The developmental activities of elite soccer players aged under-16 years from Brazil, England, France, Ghana, Mexico, Portugal and Sweden. J Sports Sci. 30(15):1653–1663.
   PubMed Web of Science ®Google Scholar
• Fransen J, Bennett KJM, Woods CT, French-Collier N, Deprez D, Vaeyens R, Lenoir M. 2017. Modelling age-related changes in motor competence and physical fitness in high-level youth soccer players: implications for talent identification and development. Sci Med Football. 1(3):203–208.
   Web of Science ®Google Scholar
• Furley P, Memmert D. 2016. Coaches’ implict association between size and giftedness: implications for the relative age effects. J Sports Sci. 34(5):455–466.
   Web of Science ®Google Scholar
• Gagné F. 1985. Giftedness and talent: reexamining a reexamination of the definitions. Gifted Q. 29:103–112.
   Web of Science ®Google Scholar
• Gagné F. 2004. Transforming gifts into talents: the DMGT as a developmental theory. High Ability Stud. 15(2):119–147.
   Web of Science ®Google Scholar
• Gagné F. 2013. The DMGT: changes within, beneath, and beyond. Talent Dev Excell. 5(1):5–19.
   Google Scholar
• Gil SM, Zabala-Lili J, Bidaurrazaga-Letona I, Aduna B, Lekue JA, Santos-Concejero J, Granados C. 2014. Talent identification and selection process of outfield players and goalkeepers in a professional soccer club. J Sports Sci. 32(20):1931–1939.
   PubMed Web of Science ®Google Scholar
• Güllich A. 2014. Selection, de-selection, and progression in German football talent promotion. Eur J Sport Sci. 14(6):530–537.
   PubMed Web of Science ®Google Scholar
• Güllich A, Eike E. 2014. Conisdering long-term sustainability in the development of world class success. Eur J Sport Sci. 14:S383–397.
   PubMed Web of Science ®Google Scholar
• Helsen WF, Baker J, Michiels S, Schorer J, Van Winckel J, Williams AM. 2012. The relative age effect in European professional soccer: did ten years of research make any difference. J Sports Sci. 30(15):1665–1674.
   PubMed Web of Science ®Google Scholar
• Helsen WF, Starkes JL, Van Winckel J. 1998. The influence of relative age on success and dropout in male soccer players. Am J Hum Biol. 10(6):791–798.
   PubMed Web of Science ®Google Scholar
• Höner O, Feichtinger P. 2016. Psychological talent predictors in early adolescence and their empirical relationship with current and future performance in soccer. Psychol Sport Exerc. 25:17–26.
   Web of Science ®Google Scholar
• Höner O, Leyhr D, Kelava A. 2017. The influence of speed abilities and technical skills in early adolescence on adult success in soccer: a long-term prospective analysis using ANOVA and SEM approaches. PLOS One. 12(8):e0182211.
   PubMed Web of Science ®Google Scholar
• Höner O, Votteler A. 2016. Prognostic relevance of motor talent predictors in early adolescence: a group- and individual- based evaluation considering different levels of achievement in youth football. J Sports Sci. 34(24):2269–2278.
   PubMed Web of Science ®Google Scholar
• Höner O, Votteler A, Schmid M, Schultz F, Roth K. 2015. Pscyhometric properties of the motor diagnositics in the German football talent identification and development programme. J Sports Sci. 33(2):145–159.
   PubMed Web of Science ®Google Scholar
• Hornig M, Aust F, Güllich A. 2014. Practice and play in the development of German top-level professional football players. Eur J Sport Sci. 16(1):96–105.
   Web of Science ®Google Scholar
• Huijgen BCH, Elferink-Gemser MT, Lemmink KAPM, Visscher C. 2014. Multidimensional performance characteristics in selected and deselected talented soccer players. Eur J Sport Sci. 14(1):2–10.
   PubMed Web of Science ®Google Scholar
• Johnson A, Farooq A, Whiteley R. 2017. Skeletal maturation status is more strongly associated with academy selection than birth quarter. Sci Med Football. 1(2):157–163.
   Google Scholar
• Krogman WM. 1959. Mautration age of 55 boys in the little league world series, 1957. Res Quarterly Am Assoc Health Phys Educ Recreation. 301(1):54–56.
   Google Scholar
• Larkin P, O’Connor D. 2017. Talent identification and recruitment in youth soccer: recruiter’s perceptions of the key attributes for player recruitment. PLOS One. 12(4):e0175716.
   PubMed Web of Science ®Google Scholar
• Le Gall F, Carling C, Williams AM, Reilly T. 2010. Anthropometric and fitness characteristics of international, professional, and amatuer male graduate soccer players from an elite youth academy. J Sci Med Sport. 13(1):90–95.
   PubMed Web of Science ®Google Scholar
• Macnamara BN, Moreau D, Hambrick D. 2016. The relationship between deliberate practice and performance in sports: a meta-analysis. Perspect Psychological Sci. 11(3):333–350.
   PubMedGoogle Scholar
• Mann DL, Van Ginneken PJMA. 2017. Age-ordered shirt numbering reduces the selection bias associated with relative age effects. J Sports Sci. 35(8):784–790.
   PubMed Web of Science ®Google Scholar
• Morris R, Emmonds S, Jones B, Myers TD, Clarke ND, Lake J, … Till K. 2018. Seasonal changes in physical qualities of elite youth soccer players according to maturity status: comparisons with age matched controls. Sci Med Football, Advanced Online Publ. 1–9. doi:10.1080/24733938.2018.1454599
   Google Scholar
• Myer GD, Jayamthi N, Difiori JP, Faigenbaum AD, Fiefer AW, Logerstedt D, Micheli LJ. 2016. Sports specialization, part 1: does early sports specialisation increase negative outcomes and reduce the opportunity for success in young athletes? Sports Health. 7(5):437–442.
   Google Scholar
• Philippaerts RM, Vaeyens R, Janssens M, Van Renterghem B, Matthys D, Craen R, … Malina RM. 2006. The relationship between peak heigh velocity and physical performance in youth soccer players. J Sports Sci. 24(3):221–230.
   PubMed Web of Science ®Google Scholar
• Phillips E, Davids K, Renshaw I, Portus M. 2010. Expert performance in sport and the dynamics of talent development. Sports Med. 40(4):271–283.
   PubMed Web of Science ®Google Scholar
• Reeves MJ, Enright KJ, Dowling J, Roberts SJ. 2018. Stakeholders’ understanding and perceptions of bio-banding in junior-elite football training. [Advacned online publication]. Soccer Soc. 1–17. doi:10.1080/14660970.2018.1432384
   Google Scholar
• Reilly T, Williams AM, Nevill AM, Franks A. 2000. A multidisciplinary approach to talent identification in soccer. J Sports Sci. 18(9):695–702.
   PubMed Web of Science ®Google Scholar
• Soberlak P, Côté J. 2003. The developmental activities of elite ice hockey players. J Appl Sport Psychol. 15(1):41–49.
   Web of Science ®Google Scholar
• sportingintelligence. (2017). Global sport salaries survery 2017 - Average first-team pay, team-by-team, in the world’s most popular leagues. [accessed 2017 Nov 22] http://globalsportssalaries.com/.
   Google Scholar
• Toering T, Elferink-Gemser MT, Jordet G, Visscher C. 2009. Self-regulation and performance level of elite and non-elite youth soccer players. J Sports Sci. 27(14):1509–1517.
   PubMed Web of Science ®Google Scholar
• Vaeyens R, Lenoir M, Williams AM, Mazyn L, Philippaerts RM. 2007a. The effects of task constraints on visual search behaviour and decision-making skill in youth soccer players. J Sport Exerc Psychol. 29(2):147–169.
   PubMed Web of Science ®Google Scholar
• Vaeyens R, Lenoir M, Williams AM, Philippaerts RM. 2007b. Mechanisms underpinning successful decision making in skilled youth soccer players: an analysis of visual search behaviours. J Mot Behav. 39(5):395–408.
   PubMed Web of Science ®Google Scholar
• Vaeyens R, Lenoir M, Williams AM, Philippaerts RM. 2008. Talent identification and development programmes in sport: current models and future directions. Sports Med. 38(9):703–714.
   PubMed Web of Science ®Google Scholar
• Vaeyens R, Malina RM, Janssens M, Van Renterghem B, Bourgois JG, Vrijens J, Philippaerts RM. 2006. A multidisciplinary selection model for youth soccer: the ghent youth soccer project. Br J Sports Med. 40(11):928–934.
   PubMed Web of Science ®Google Scholar
• Van Yperen NW. 2009. Why some make it and others do not: identifying psychological factors that predict career success in professional adult soccer. Sport Psychol. 23(3):317–329.
   Web of Science ®Google Scholar
• Vandendriessche JB, Vaeyens R, Vandorpe B, Lenoir M, Lefevre J, Philippaerts RM. 2012. Biological maturation, morphology, fitness, and motor coordination as part of a selection strategy in the search for international youth soccer players (age 15-16 years). J Sports Sci. 30(15):1695–1703.
   PubMed Web of Science ®Google Scholar
• Vänttinen T, Blomqvist M, Häkkinen K. 2010. Development of body composition, hormone profile, physical fitness, general perceptual motor skills, soccer skills and on-the-ball performance in soccer-specific laboratory test among adolescent soccer players. J Sports Sci Med. 9:547–556.
   PubMed Web of Science ®Google Scholar
• Ward P, Hodges NJ, Starkes JL, Williams AM. 2007. The road to excellence: deliberate practice and the development of expertise. High Ability Stud. 18(2):119–153.
   Web of Science ®Google Scholar
• Weil E, Giulianotti RC, Joy B, Alegi PC, Rollin J (2017). Football. accessed 2017 Nov 22]. https://www.britannica.com/sports/football-soccer.
   Google Scholar
• Zuber C, Zibung M, Conzelmann A. 2015. Motivational patterns as an instrument for predicting success in promising young football players. J Sports Sci. 33(2):160–168.
   PubMed Web of Science ®Google Scholar
• Zuber C, Zibung M, Conzelmann A. 2016. Holistic patterns as an instrument for predicting the performance of promising young soccer players – A 3-years longitudinal study. Front Psychol. 7:p 1088.
   PubMed Web of Science ®Google Scholar