Born, Dennis; Kuger, Joris; Polach, Marek; Romann, Michael (2021). Turn fast and win: the importance of acyclic phases in top-elite female swimmers Sports, 9(9), pp. 1-12. MDPI 10.3390/sports9090122
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The aim of the study was to investigate the effect of start and turn performances on race times in top-elite female swimmers and provide benchmarks for all performance levels, all swimming strokes, and all race distances of the European Short-Course Championships (EC). The individual races (n = 798) of all female competitors (age: 20.6 ± 3.9 years, FINA points: 792 ± 78) were video-monitored for subsequent analysis of start and turn performances. Benchmarks were established across all competitors of each event based on the 10th, 25th, 50th, 75th, and 90th percentiles. Start and turn performances contributed up to 27.43% and 56.37% to total race time, respectively. Mechanistic analysis revealed that the fastest swimmers had the lowest contribution of the acyclic phases to race time. Therefore, relative to their faster race times, these swimmers were even faster during starts and turns. Multiple linear regression analysis showed large effects of turn performance on 50, 100, 200, 400, and 800 m race times (β = 0.616, 0.813, 0.988, 1.004, and 1.011, respectively), while the effect of start performance continuously decreased the longer the race distance. As turn performance may be the distinguishing factor in modern short-course races, benchmarks should be used to set goals and establish training guidelines depending on the targeted race time.
Item Type: |
Journal Article (Original Article) |
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Division/Institute: |
Swiss Federal Institute of Sports Magglingen SFISM > EHSM - Leistungssport > Trainingswissenschaft |
Name: |
Born, Dennis 0000-0002-1058-4367; Kuger, Joris; Polach, Marek and Romann, Michael 0000-0003-4139-2955 |
ISSN: |
2075-4663 |
Publisher: |
MDPI |
Language: |
English |
Submitter: |
Service Account |
Date Deposited: |
23 May 2022 14:47 |
Last Modified: |
23 May 2022 14:47 |
Publisher DOI: |
10.3390/sports9090122 |
PubMed ID: |
34564327 |
Uncontrolled Keywords: |
Analysis Biomechanics Coaching Data Training |
ARBOR DOI: |
10.24451/arbor.16864 |
URI: |
https://arbor.bfh.ch/id/eprint/16864 |
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