Sliding benchmarks might prevent de-selection of talented badminton players

Authors

DOI:

https://doi.org/10.30827/ijrss.32952

Keywords:

talent identification, athlete selection, talent selection, relative age, maturity

Abstract

Despite potential advantages of talent identification practices, the degree of bias in decision-making due to relative age and maturity timing remains a concern. To investigate the impact of relative age and maturity on selection processes, and to examine the possible influence of an intervention aimed at minimizing the impact of relative age and maturity biases, thirty-three boys (Mage = 12.43y ± 0.36y) invited to compete for Badminton Malaysia, completed three anthropometrical measures, eight physical performance assessments, and five motor coordination tests. These players were tracked throughout their career to determine pathway progression (i.e., dropout or continuation) and their level of success (i.e., season-end rankings). With regards to the relative age of athletes and the initial selection to the U13 team, findings revealed that younger and less mature players were disadvantaged, since their morphology, physical fitness, and motor capacities were less developed than their peers. A sliding benchmark intervention was applied, where raw scores were adjusted. Although, the dropout rate from the U13 team was high (24/33 players, 73%), 6 of 9 remaining players of the national team achieved exceptional results, which were evident six years later. As a result of the sliding benchmark intervention, two relatively younger, late maturers with superior motor competence scores, were selected to the elite sport school. Without this intervention, both players might never have won the U21 World Championships. This paper examines the pathway of these competitive badminton athletes and discusses the potential value of applying a sliding benchmark intervention in competitive sport selection settings.

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Author Biographies

Johan Pion, Ghent University

Faculty of Medicine and Health Sciences, Department of Movement and Sports Sciences, Ghent University, Ghent, Belgium

Mohd Rozilee Wazir Norjali Wazir, Universiti of Malaysia Sabah

Faculty of Psychology and Education, University Malaysia Sabah, Malaysia.

Irene Faber, Windesheim University of Applied Sciences

Institute of Sport Science, Carl Von Ossietzky University Oldenburg, Germany. Research Centre Human Movement and Education, Windesheim University of Applied Sciences, Zwolle, The Netherlands.

Kathryn Johnston, University of Toronto

Tanenbaum Institute for Science in Sport, Kinesiology and Physical Education, University of Toronto, Ontario, Canada.

Pieter Vansteenkiste, Ghent University

Faculty of Medicine and Health Sciences, Department of Movement and Sports Sciences, Ghent University. Hylyght bv., Aalst Belgium.

Matthieu Lenoir, Ghent University

Faculty of Medicine and Health Sciences, Department of Movement and Sports Sciences, Ghent University, Ghent, Belgium.

Tengku-Fadilah Kamalden, Badminton Association of Malaysia

Badminton Association of Malaysia, Bukit Kiara, Kuala Lumpur & National Institute of Sports, Bukit Jalil, Malaysia.

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Published

2025-05-30

How to Cite

Pion, J., Wazir, M. R. W. N., Faber, I., Johnston, K., Vansteenkiste, P., Lenoir, M., & Kamalden, T.-F. (2025). Sliding benchmarks might prevent de-selection of talented badminton players. International Journal of Racket Sports Science, 7(1), 21–31. https://doi.org/10.30827/ijrss.32952