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The Relative Age Effect in under-18 basketball: Effects on performance according to playing position

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  • Sergio J Ibáñez
  • Aitor Mazo
  • Juarez Nascimento
  • Javier García-Rubio

Abstract

The Relative Age Effect (RAE) in sport is defined as the age difference in the same sport group. This chronological difference implies a different level of sport experience and performance due to developmental and maturational processes. The aim of the present study was to analyze the relative age effect in elite u-18 basketball according to playing positions. The variables analyzed were: date of birth, playing position and technical-tactical performance indicators in basketball (TTPI). A descriptive analysis was carried out to characterize the sample, a lineal regression was used to analyze the influence of the date of birth on basketball performance and finally an ANOVA and discriminant analysis were performed to identify the differences among different playing positions. The results show the existence of the RAE in the top European Under-18 basketball competition (S1 = 67%; S2 = 33%). Performance indicators which are predictors of the birth quarter (p

Suggested Citation

  • Sergio J Ibáñez & Aitor Mazo & Juarez Nascimento & Javier García-Rubio, 2018. "The Relative Age Effect in under-18 basketball: Effects on performance according to playing position," PLOS ONE, Public Library of Science, vol. 13(7), pages 1-11, July.
    • Handle: RePEc:plo:pone00:0200408
    DOI: 10.1371/journal.pone.0200408
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    References listed on IDEAS

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    1. S.J. Ibáñez & J.A. Santos & J. García, 2015. "Multifactorial analysis of free throw shooting in eliminatory basketball games," International Journal of Performance Analysis in Sport, Taylor & Francis Journals, vol. 15(3), pages 897-912, December.
    2. Robert O Deaner & Aaron Lowen & Stephen Cobley, 2013. "Born at the Wrong Time: Selection Bias in the NHL Draft," PLOS ONE, Public Library of Science, vol. 8(2), pages 1-7, February.
    3. Jaime Sampaio & Tim McGarry & Julio Calleja-González & Sergio Jiménez Sáiz & Xavi Schelling i del Alcázar & Mindaugas Balciunas, 2015. "Exploring Game Performance in the National Basketball Association Using Player Tracking Data," PLOS ONE, Public Library of Science, vol. 10(7), pages 1-14, July.
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    2. Seifeddine Brini & Daniel Castillo & Javier Raya-González & Carlo Castagna & Anissa Bouassida & Riadh Khalifa & Sabri Gaied Chortane & Filipe Manuel Clemente, 2021. "Basketball-Specific Small-Sided Games Training during Ramadan Intermitting Fasting: Do Changes in Body Composition, Sleep Habits, and Perceived Exertion Affect Technical Performance?," IJERPH, MDPI, vol. 18(22), pages 1-13, November.
    3. Miguel Ángel Pérez-Toledano & Francisco J Rodriguez & Javier García-Rubio & Sergio José Ibañez, 2019. "Players’ selection for basketball teams, through Performance Index Rating, using multiobjective evolutionary algorithms," PLOS ONE, Public Library of Science, vol. 14(9), pages 1-20, September.
    4. Daniel Mon-López & Carlos M. Tejero-González & Alfonso de la Rubia Riaza & Jorge Lorenzo Calvo, 2020. "Pistol and Rifle Performance: Gender and Relative Age Effect Analysis," IJERPH, MDPI, vol. 17(4), pages 1-10, February.
    5. Alfonso de la Rubia & Christian Thue Bjørndal & Joaquín Sánchez-Molina & José María Yagüe & Jorge Lorenzo Calvo & Sergio Maroto-Izquierdo, 2020. "The relationship between the relative age effect and performance among athletes in World Handball Championships," PLOS ONE, Public Library of Science, vol. 15(3), pages 1-21, March.

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