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Anthropometrics, physical fitness, and sport-specific performance of young German canoe sprint athletes (U13-U17) to predict senior performance level: a machine-learning approach

Crossref DOI link: https://doi.org/10.1038/s41598-026-58055-3

Published Online: 2026-06-21

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Saal, Christian https://orcid.org/0000-0002-7740-2150
Teunissen, Jan Willem https://orcid.org/0000-0002-8254-7020
Granacher, Urs https://orcid.org/0000-0002-7095-813X
Helm, Norman

Warnke, Torsten

Prieske, Olaf https://orcid.org/0000-0003-4475-4413
Funding

Funding for this research was provided by:

Otto-von-Guericke-Universität Magdeburg
License Information

Text and Data Mining valid from 2026-06-21

Version of Record valid from 2026-06-21
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Article History

Received: 20 January 2026

Accepted: 11 June 2026

First Online: 21 June 2026

Declarations

:

: The authors declare no competing interests.

: The code needed to reproduce the full analysis using the dataset used here can be found on GitHub: .

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