2,354
Views
77
CrossRef citations to date
0
Altmetric
PAPERS

Using physiological data to predict future career progression in 14- to 17-year-old Austrian soccer academy players

&
Pages 1673-1682 | Received 10 Dec 2011, Accepted 17 Jul 2012, Published online: 23 Aug 2012
 

Abstract

The crux of any soccer-specific talent identification programme is to determine early predictors of future playing success (Williams & Reilly, Citation2000). We compare physiological characteristics among 14- to 17-year-old soccer academy players in terms of subsequent career progression (‘drafted’ vs. ‘non-drafted’). In a longitudinal design (2001–2010), players passed through 10 fitness tests at four age levels: 14 (n = 410); 15 (n = 504); 16 (n = 456); and 17 years (n = 272). MANOVAs showed statistically significant (P < 0.05) superior performances for drafted players in all components (‘speed’, ‘power and flexibility’, ‘coordination and endurance’) and age categories. ANOVAs revealed significantly (P < 0.013) better performances for drafted players in almost all tests, with the largest effect sizes for shuttle sprint (η = 0.07–0.09), 20 m sprint (η = 0.04–0.05) and medicine ball throw (η 2 = 0.05–0.11). Follow up discriminant analyses confirmed that a combination of three variables correctly classified 62.7 to 66.2% of the players. Soccer-specific speed and power of upper limbs best discriminated future playing status, irrespective of age category. It is concluded that physiological measurements at adolescence can provide useful information in terms of predicting future career progression.

Acknowledgements

This work was facilitated by cooperation between the Austrian Football Association (ÖFB), the Department of Sport Science of the University of Salzburg and the Institute for Sports Medicine and Science (IMSB Austria). In addition, the authors would like to thank all the players and staff of the Austrian youth soccer academies for their participation.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 461.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.