Literature DB >> 27614405

Player's success prediction in rugby union: From youth performance to senior level placing.

Federico Y Fontana1, Alessandro L Colosio1, Giorgio Da Lozzo1, Silvia Pogliaghi2.   

Abstract

OBJECTIVES: The study questioned if and to what extent specific anthropometric and functional characteristics measured in youth draft camps, can accurately predict subsequent career progression in rugby union.
DESIGN: Original research.
METHODS: Anthropometric and functional characteristics of 531 male players (U16) were retrospectively analysed in relation to senior level team representation at age 21-24. Players were classified as International (Int: National team and international clubs) or National (Nat: 1st, 2nd and other divisions and dropout). Multivariate analysis of variance (one-way MANOVA) tested differences between Int and Nat, along a combination of anthropometric (body mass, height, body fat, fat-free mass) and functional variables (SJ, CMJ, t15m, t30m, VO2max). A discriminant function (DF) was determined to predict group assignment based on the linear combination of variables that best discriminate groups. Correct level assignment was expressed as % hit rate.
RESULTS: A combination of anthropometric and functional characteristics reflects future level assignment (Int vs. Nat). Players' success can be accurately predicted (hit rate=81% and 77% for Int and Nat respectively) by a DF that combines anthropometric and functional variables as measured at ∼15 years of age, percent body fat and speed being the most influential predictors of group stratification.
CONCLUSIONS: Within a group of 15 year-olds with exceptional physical characteristics, future players' success can be predicted using a linear combination of anthropometric and functional variables, among which a lower percent body fat and higher speed over a 15m sprint provide the most important predictors of the highest career success.
Copyright © 2016 Sports Medicine Australia. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Anthropometry; Database; Discriminant analysis; Draft camps; Retrospective studies

Mesh:

Year:  2016        PMID: 27614405     DOI: 10.1016/j.jsams.2016.08.017

Source DB:  PubMed          Journal:  J Sci Med Sport        ISSN: 1878-1861            Impact factor:   4.319


  6 in total

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Authors:  Alessandro L Colosio; Anna Pedrinolla; Giorgio Da Lozzo; Silvia Pogliaghi
Journal:  J Sports Sci Med       Date:  2018-11-20       Impact factor: 2.988

2.  Statistical analysis considerations within longitudinal studies of physical qualities in youth athletes: A qualitative systematic methodological review.

Authors:  Cameron Owen; Kevin Till; Josh Darrall-Jones; Ben Jones
Journal:  PLoS One       Date:  2022-07-07       Impact factor: 3.752

3.  The Relationship between Dynamic Balance and Jumping Tests among Adolescent Amateur Rugby Players. A Preliminary Study.

Authors:  Bartosz Wilczyński; Jakub Hinca; Daniel Ślęzak; Katarzyna Zorena
Journal:  Int J Environ Res Public Health       Date:  2021-01-04       Impact factor: 3.390

4.  A Multidisciplinary Investigation into the Talent Development Processes in an English Premiership Rugby Union Academy: A Preliminary Study through an Ecological Lens.

Authors:  Francesco Dimundo; Matthew Cole; Richard C Blagrove; Kevin Till; Adam L Kelly
Journal:  Sports (Basel)       Date:  2022-01-18

5.  Talent Identification in an English Premiership Rugby Union Academy: Multidisciplinary Characteristics of Selected and Non-selected Male Under-15 Players.

Authors:  Francesco Dimundo; Matthew Cole; Richard C Blagrove; Alexander B T McAuley; Kevin Till; Adam L Kelly
Journal:  Front Sports Act Living       Date:  2021-06-11

6.  Psychosocial and Physiological Factors Affecting Selection to Regional Age-Grade Rugby Union Squads: A Machine Learning Approach.

Authors:  Julian Owen; Robin Owen; Jessica Hughes; Josh Leach; Dior Anderson; Eleri Jones
Journal:  Sports (Basel)       Date:  2022-02-28
  6 in total

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