Evaluation of Race Pace Using Critical Swimming Speed During 10 km Open-Water Swimming Competition

<b>Background</b>: Estimating race times for open-water swimming based on pool swimming times could be useful for talent identification and training optimisation. We aimed to compare the swimming speeds of the world's top and other swimmers in the 2023 Aquatics Championship men's 10 km OWS race. <b>Methods</b>: Sixty-five swimmers were divided into four groups: G1 (1st-10th positions), G2 (11st-30th positions), G3 (31st-47th positions), and G4 (48th-65th positions). Swimming speed, stroke frequency (SF), and stroke length (SL) for each lap (laps 1-6) were recorded. Critical speed (CS) was calculated from each participant's personal best times in the 400, 800, and 1500 m freestyle events in the pool. Swimming speed against CS was calculated (%CS). <b>Results</b>: The top performance group (G1) maintained their swimming speed from beginning (lap 1, 1.53 m/s) to end (lap 6, 1.50 m/s), at 92.7 ± 1.9% of CS, characterised by longer SL (1.26 m) and lower SF (72.86 rpm). G3 and G4 were unable to maintain their swimming speed, which decreased from G3: 97.64 ± 1.62% and G4: 96.10 ± 1.96% of CS at lap 1 to G3: 88.39 ± 3.78% and G4: 85.13 ± 5.04% at lap 6. This reduction in swimming speed is consistent with the increased reliance on anaerobic metabolism reported in previous studies under similar conditions. <b>Conclusions</b>: Race pacing for maintaining speeds of 92%CS throughout the race could be an important resilient index in open-water swimming. %CS might be a useful index for estimating the athletic performance level in open-water swimming.

Authors

Institutions

Publication Details

Journal
Journal of Functional Morphology and Kinesiology
Published
2025-08-03
DOI
https://doi.org/10.3390/jfmk10030302
Citations
1
Primary Topic
Sports Performance and Training
Type
article
Field-Weighted Citation Impact
1.72
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Evaluation of Race Pace Using Critical Swimming Speed During 10 km Open-Water Swimming Competition

Ryuichi Yoshida, Tomomi Fujimoto, Reira Hara, Kazuo Funato et al.
1 citations
Journal of Functional Morphology and Kinesiology
Sports Performance and Training
1.72
article

Evaluation of Race Pace Using Critical Swimming Speed During 10 km Open-Water Swimming Competition

Ryuichi Yoshida, Tomomi Fujimoto, Reira Hara, Kazuo Funato, Yasunori Fujito
article en
1 citations

Abstract

<b>Background</b>: Estimating race times for open-water swimming based on pool swimming times could be useful for talent identification and training optimisation. We aimed to compare the swimming speeds of the world's top and other swimmers in the 2023 Aquatics Championship men's 10 km OWS race. <b>Methods</b>: Sixty-five swimmers were divided into four groups: G1 (1st-10th positions), G2 (11st-30th positions), G3 (31st-47th positions), and G4 (48th-65th positions). Swimming speed, stroke frequency (SF), and stroke length (SL) for each lap (laps 1-6) were recorded. Critical speed (CS) was calculated from each participant's personal best times in the 400, 800, and 1500 m freestyle events in the pool. Swimming speed against CS was calculated (%CS). <b>Results</b>: The top performance group (G1) maintained their swimming speed from beginning (lap 1, 1.53 m/s) to end (lap 6, 1.50 m/s), at 92.7 ± 1.9% of CS, characterised by longer SL (1.26 m) and lower SF (72.86 rpm). G3 and G4 were unable to maintain their swimming speed, which decreased from G3: 97.64 ± 1.62% and G4: 96.10 ± 1.96% of CS at lap 1 to G3: 88.39 ± 3.78% and G4: 85.13 ± 5.04% at lap 6. This reduction in swimming speed is consistent with the increased reliance on anaerobic metabolism reported in previous studies under similar conditions. <b>Conclusions</b>: Race pacing for maintaining speeds of 92%CS throughout the race could be an important resilient index in open-water swimming. %CS might be a useful index for estimating the athletic performance level in open-water swimming.

Journal of Functional Morphology and KinesiologyVol. 10(3)
Nihon University (JP), Osaka Sangyo University (JP), Kokushikan University (JP), Osaka University of Health and Sport Sciences (JP), Hitachi (Japan) (JP), Niigata University of Health and Welfare (JP)
Openalex Percentile: Top 16%
Sports Performance and Training
1.72
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.