IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v20y2023i6p4809-d1091876.html
   My bibliography  Save this article

Pacing Strategy Models in 1500 m Male Freestyle Long-Course Swimming on the Basis of the All-Time Ranking

Author

Listed:
  • Maciej Hołub

    (Laboratory of Performance Analysis in Sport, Institute of Sport Sciences, Academy of Physical Education in Katowice, 40-065 Katowice, Poland)

  • Arkadiusz Prajzner

    (Center for Neurocognitive Functions and Self-Regulation Research, Institute of Psychology, Pedagogical University of Krakow, 30-084 Krakow, Poland)

  • Arkadiusz Stanula

    (Laboratory of Performance Analysis in Sport, Institute of Sport Sciences, Academy of Physical Education in Katowice, 40-065 Katowice, Poland)

Abstract

In long-distance swimming competitions, a pacing strategy is of considerable importance for the final result and for sporting success. The paper presents the pacing strategy models of the all-time best competitors in 1500 m male freestyle long-course swimming. The top 60 scores were retrieved from official websites. The results were divided into six groups of ten swim times each, with splits of 15 × 100, 5 × 300, 3 × 500, and 2 × 750 m, and then analysis of variance was used. The main effects of the competitor group order revealed with the analysis of variance were statistically significant ( p < 0.001). The group effect size turned out very high (η p 2 = 0.95). Consecutive groups of competitors achieved significantly slower results. The magnitude of the interaction effects of the competitor group order and distance splits was moderate (η p 2 of 0.05–0.09) and statistically not significant. The main effects of the 3 × 500, 5 × 300, and 15 × 100 m splits were high and very high (η p 2 of 0.33–0.75) and statistically significant ( p < 0.001). The difference between the 2 × 750 m split was statistically not significant. The achieved values of the main effects led to the following trend. In the distance split, the first and last sections did not significantly differ from each other, nor did the middle sections. However, when the middle sections and the first and last sections were compared against each other, a significant discrepancy was observed. The pacing strategies of the best athletes in the history of the competition follow a very similar parabolic trend.

Suggested Citation

  • Maciej Hołub & Arkadiusz Prajzner & Arkadiusz Stanula, 2023. "Pacing Strategy Models in 1500 m Male Freestyle Long-Course Swimming on the Basis of the All-Time Ranking," IJERPH, MDPI, vol. 20(6), pages 1-10, March.
  • Handle: RePEc:gam:jijerp:v:20:y:2023:i:6:p:4809-:d:1091876
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/20/6/4809/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/20/6/4809/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Óscar López-Belmonte & Ana Gay & Jesús J. Ruiz-Navarro & Francisco Cuenca-Fernández & Ángela González-Ponce & Raúl Arellano, 2022. "Pacing profiles, variability and progression in 400, 800 and 1500-m freestyle swimming events at the 2021 European Championship," International Journal of Performance Analysis in Sport, Taylor & Francis Journals, vol. 22(1), pages 90-101, January.
    2. Beatriz Lara & Juan Del Coso, 2021. "Pacing Strategies of 1500 m Freestyle Swimmers in the World Championships According to Their Final Position," IJERPH, MDPI, vol. 18(14), pages 1-9, July.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Francisco Cuenca-Fernández & Jesús J. Ruiz-Navarro & Marek Polach & Raúl Arellano & Dennis-Peter Born, 2022. "Turn Performance Variation in European Elite Short-Course Swimmers," IJERPH, MDPI, vol. 19(9), pages 1-11, April.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:20:y:2023:i:6:p:4809-:d:1091876. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.