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Predicting the sport level in elite male motorcycle speedway riders based on physical profile and experience

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  • Stefan Szczepan
  • Zofia Wróblewska
  • Faye Perkins
  • Maciej Markowski
  • Kamil Michalik

Abstract

The main objective of this research was to analyze the physical profile and experience of elite male motorcycle speedway riders, in order to develop a mathematical model to predict their level of sport performance. One hundred and eleven male professional motorcycle speedway riders in the top Polish motorcycle speedway league participated in this study (age: 25.04 ± 6.03 years, height: 172.28 ± 4.76 cm, weight: 65.60 ± 4.66 kg). The riders were divided by the k-means clustering method into three groups of sport level: high (n1 = 31), medium (n2 = 30), low (n3 = 50). To define sport level, several parameters were normalized and aggregated into a new conceptual metric of sport level called ‘Indicator of Sport Level’ (ISL). Body composition assessment, Wingate Anaerobic Test on a cycloergometer, and analysis of acute cardiorespiratory and biochemical responses were performed. One-way ANOVA tests were performed for independent samples, and Pearson’s r linear correlation was calculated between clusters of riders. Multiple linear regression (MLR) was performed to predict the ISL. The elite male motorcycle speedway athletes were characterized by average age (25.10 ± 5.80 years) and years of experience (9.16 ± 5.62 years), which made them different from other clusters (p

Suggested Citation

  • Stefan Szczepan & Zofia Wróblewska & Faye Perkins & Maciej Markowski & Kamil Michalik, 2025. "Predicting the sport level in elite male motorcycle speedway riders based on physical profile and experience," PLOS ONE, Public Library of Science, vol. 20(5), pages 1-19, May.
    • Handle: RePEc:plo:pone00:0324853
    DOI: 10.1371/journal.pone.0324853
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