Educational Insights from the Retrospective Analysis of an Annual Training Cycle: Case Study of a Slovak Swimmer’s Preparation for the 2023 World Championship in Fukuoka

Matúš Guzman, Gheorghe Balint, Jaroslav BroÄ Ã¡ni, Ľuboslav Å Iska, Nicolae Lucian Voinea and Silviu Ioan Pavel
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Matúš Guzman: Department of Physical Education and Sports, Faculty of Education, University of Constantine the Philosopher in Nitra, 949 01, Nitra, Slovakia
Gheorghe Balint: Department of Physical Education and Sports Performance, “Vasile Alecsandri†University from Bacău, Romania
Jaroslav BroÄ Ã¡ni: Department of Physical Education and Sports, Faculty of Education, University of Constantine the Philosopher in Nitra, 949 01, Nitra, Slovakia
Ľuboslav ŠIska: Department of Physical Education and Sports, Catholic University in Ružomberok, 03401 Ruzomberok, Slovakia
Nicolae Lucian Voinea: Department of Physical Education and Sports Performance, “Vasile Alecsandri†University from Bacău, Romania
Silviu Ioan Pavel: Department of Physical Education and Sports Performance, “Vasile Alecsandri†University from Bacău, Romania

Revista romaneasca pentru educatie multidimensionala - Journal for Multidimensional Education, 2025, vol. 17, issue 1, 367-383

Abstract: The elite swimmer of the Slovak Republic (T.P.), a participant in the 2023 World Swimming Championships in Fukuoka, has since 2012 recorded a gradual increase in performance in the swimming disciplines of 400 m freestyle with a resulting time of 3:49.03 (795 points, SCM) and 800 m freestyle with a resulting with a time of 8:12.87 (771 points, LCM). From the point of view of the annual training macrocycle of ATC 2023, he achieved his best sports performances in the 400m freestyle with a final time of 3:53.88 (747 points, SCM) and in the 800m freestyle with a final time of 8:07.68 (751 points, SCM). We identified the general and special training variables that were most closely related to the swimmer's athletic performance through a retrospective analysis. For interaction identification and prediction, we applied non-parametric techniques (CHAID decision trees and Spearman's correlation coefficient). The available data was analyzed using the technique to examine at the swimmers' workout records from the ATC 2023 annual training cycle. The available data, which include the volume of race pace (STI 105), elemental arm swimming (STI 106), and volume of anaerobic endurance (STI 104), as well as the number of starts (GTI 112) and training units (GTI 111), were analyzed by looking at the swimmers' training diaries from the ATC 2023 annual training cycle.

Keywords: performance; training cycle; swimmer; training variables (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:lum:rev1rl:v:17:y:2025:i:1:p:367-383

DOI: 10.18662/rrem/17.1/956

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