Analysis of key parameters for peak performance in the triple jump

Analysis of key parameters for peak performance in triple jump. The study aims to determine the key biomechanical parameters of triple jump for world-class performance. The sub-objective is to predict the performance of leading Czech female athletes and classify the predicted performance level. Data were collected from publicly available biomechanical analyses of top-level, international athletic competitions on the World Athletics website (n=28). Kinematic parameters were analysed using statistical methods, namely correlation, cluster, and regression analyses. The research showed that there is no strong predictor of triple jump performance. Using 13 kinematic parameters, we can explain approximately 47 % of the variance. The strongest predictor appears to be velocity in the second step before the rebound.

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Publication Details

Journal
Slovak Journal of Sport Science
Published
2025-01-16
DOI
https://doi.org/10.24040/sjss.2024.9.2.86-93
Primary Topic
Winter Sports Injuries and Performance
Type
article
Field-Weighted Citation Impact
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article

Analysis of key parameters for peak performance in the triple jump

Vladimír Hojka, Michaela Hrubá
Slovak Journal of Sport Science
Winter Sports Injuries and Performance
article

Analysis of key parameters for peak performance in the triple jump

Vladimír Hojka, Michaela Hrubá
article en

Abstract

Analysis of key parameters for peak performance in triple jump. The study aims to determine the key biomechanical parameters of triple jump for world-class performance. The sub-objective is to predict the performance of leading Czech female athletes and classify the predicted performance level. Data were collected from publicly available biomechanical analyses of top-level, international athletic competitions on the World Athletics website (n=28). Kinematic parameters were analysed using statistical methods, namely correlation, cluster, and regression analyses. The research showed that there is no strong predictor of triple jump performance. Using 13 kinematic parameters, we can explain approximately 47 % of the variance. The strongest predictor appears to be velocity in the second step before the rebound.

Slovak Journal of Sport ScienceVol. 9(2)
Openalex Percentile: Top 99%
Winter Sports Injuries and Performance
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