Life in the Fast Lane: Performance Predictions for the Newest 50-m Events on the Olympic Games Swimming Schedule
These results confirm the utility of predictive analytics in elite swimming, supporting evidence-based decision making for coaches and national swimming federations. The model's high accuracy across the new 50-m form stroke events reinforces its value as a planning tool through the Los Angeles Olympic cycle.
Authors
- Emmet Crowley (ORCID: https://orcid.org/0000-0002-4660-6572)
- David B. Pyne (ORCID: https://orcid.org/0000-0003-1555-5079)
- Iñigo Mujika (ORCID: https://orcid.org/0000-0002-8143-9132)
- Cormac Powell (ORCID: https://orcid.org/0000-0001-8999-7510)
Institutions
- University of the Basque Country (ES)
- University of Canberra (AU)
- University of Limerick (IE)
- Finis Terrae University (CL)
- Sport Ireland (IE)
Publication Details
- Journal
- International Journal of Sports Physiology and Performance
- Published
- 2025-12-04
- DOI
- https://doi.org/10.1123/ijspp.2025-0231
- Primary Topic
- Sports Performance and Training
- Type
- article
- Field-Weighted Citation Impact
- 0.00