The association between force–velocity profiles and the parameters from the 3-min all-out running test in university level soccer players

Abstract Purpose This study aimed to explore the relationship between force–velocity (FV) profiles and parameters obtained from the 3-min all-out running test (3MT) to uncover essential connections for enhancing athletic training methodologies in university-level male soccer players. Methods Forty-nine athletes (age: 19.26 ± 1.17 years) voluntarily participated in this investigation, undergoing assessments of fitness by completing the 3MT and a 40-m sprint test. Results D′ exhibited moderate correlations with high-speed parameters such as v 0 ( r = 0.48, p < 0.001), T40-m ( r = − 0.48, p < 0.001) and the functional speed reserve (FSR) ( r = 0.62, p < 0.001). The FSR yielded the strongest capacity for predicting D′ ( β = 38, adj- R 2 = 0.38, p < 0.001). Positional differences were only evident for maximal sprint speed between forward and midfield players (M diff = 0.41 m/s, p = 0.007), but not for other 3MT or FV parameters. Maximal horizontal sprinting speed rather than maximal horizontal sprinting force (F 0 ) significantly mapped on to the speed–time curve of the 3MT ( r > 0.60, p = 0.031). Conclusion Our findings shed light on the complex interplay between anaerobic performance parameters, high-speed running, and endurance capacity within the framework of D′. Evidence concerning enhancements in D′ presents greater ambiguity compared to improving CS but imply that D′ is, on the one hand, contextually dependent on maximal speed parameters, and on the other, comprised of parameters that are likely more aerobic in nature. For training, players should be clustered according to performance metrics (e.g., FSR, CS) rather than positional group.

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Publication Details

Journal
Sport Sciences for Health
Published
2024-12-04
DOI
https://doi.org/10.1007/s11332-024-01293-7
Citations
1
Primary Topic
Sports Performance and Training
Type
article
Field-Weighted Citation Impact
0.48

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article

The association between force–velocity profiles and the parameters from the 3-min all-out running test in university level soccer players

Mark Kramer, Duncan Peter Sutcliffe
1 citations
Sport Sciences for Health
Sports Performance and Training
0.48
article

The association between force–velocity profiles and the parameters from the 3-min all-out running test in university level soccer players

Mark Kramer, Duncan Peter Sutcliffe
article en
1 citations

Abstract

Abstract Purpose This study aimed to explore the relationship between force–velocity (FV) profiles and parameters obtained from the 3-min all-out running test (3MT) to uncover essential connections for enhancing athletic training methodologies in university-level male soccer players. Methods Forty-nine athletes (age: 19.26 ± 1.17 years) voluntarily participated in this investigation, undergoing assessments of fitness by completing the 3MT and a 40-m sprint test. Results D′ exhibited moderate correlations with high-speed parameters such as v 0 ( r = 0.48, p < 0.001), T40-m ( r = − 0.48, p < 0.001) and the functional speed reserve (FSR) ( r = 0.62, p < 0.001). The FSR yielded the strongest capacity for predicting D′ ( β = 38, adj- R 2 = 0.38, p < 0.001). Positional differences were only evident for maximal sprint speed between forward and midfield players (M diff = 0.41 m/s, p = 0.007), but not for other 3MT or FV parameters. Maximal horizontal sprinting speed rather than maximal horizontal sprinting force (F 0 ) significantly mapped on to the speed–time curve of the 3MT ( r > 0.60, p = 0.031). Conclusion Our findings shed light on the complex interplay between anaerobic performance parameters, high-speed running, and endurance capacity within the framework of D′. Evidence concerning enhancements in D′ presents greater ambiguity compared to improving CS but imply that D′ is, on the one hand, contextually dependent on maximal speed parameters, and on the other, comprised of parameters that are likely more aerobic in nature. For training, players should be clustered according to performance metrics (e.g., FSR, CS) rather than positional group.

Sport Sciences for HealthVol. 21(2)
North-West University (ZA)
North-West University
Openalex Percentile: Top 34%
Sports Performance and Training
0.48
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