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  1. 1

    Performance prediction criteria based on yearling training cycle data for world-class athletes` tiny 1000-meter kayak teams: A case study

    Dadelo, S., Nekriošius, R., Dadeliene, R.
    Published in Life (2025)
    “…Prognose…”
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  2. 2

    Diving into a pool of data: Using principal component analysis to optimize performance prediction in women`s short-course swimming

    Staunton, C. A., Romann, M., Björklund, G., Born, D.-P-
    Published in Journal of Sports Sciences (2024)
    “…Prognose…”
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  3. 3

    Dryland performance tests are not good predictors of world aquatics points in elite male and female swimmers

    Selvamoorthy, R., Macgregor, L. J., Donald, N., Hunter, A. M.
    Published in Sports (2024)
    “…Prognose…”
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  4. 4

    Training load determining sports performance in swimming

    Guzman, M., Brodáni, J.
    Published in Journal of Physical Education and Sport (2023)
    “…Prognose…”
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  5. 5

    Interaction of kinematic, kinetic, and energetic predictors of young swimmers` speed

    Morais, J. E., Barbosa, T. M., Bragada, J. A., Ramirez-Campillo, R., & Marinho, D. A.
    Published in International Journal of Sports Physiology and Performance (2023)
    “…Prognose…”
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  6. 6

    The combined analysis of urine and blood metabolomics profiles provides an accurate prediction of the training and competitive status of Chinese professional swimmers

    Yang, R., Wang, Y., Yuan, C., Shen, X., Cai, M., Wang, L., Hu, J., Song, H., Wang, H., Zhang, L.
    Published in Frontiers in Physiology (2023)
    “…Prognose…”
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  7. 7

    Validity and accuracy of impulse-response models for modeling and predicting training effects on performance of swimmers

    Busso, T., Chalencon, S.
    Published in Medicine & Science in Sports & Exercise (2023)
    “…Prognose…”
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  8. 8

    Measures of physical fitness improve prediction of kayak and canoe sprint performance in young kayakers and canoeists

    Gäbler, M., Prieske, O., Elferink-Gemser, M. T., Hortobágyi, T., Warnke, T., Granacher, U.
    Published in The Journal of Strength and Conditioning Research (2023)
    “…Prognose…”
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  9. 9

    Importance of different upper body strength qualities in the prediction of 30s on-water kayak sprint performance

    Klitgaard, K, de Zee, M., Jakobsen, J., Kristiansen, M.
    Published in VIII Congreso Internacional De Entrenadores De Piragüismo en Aguas Tranquilas (2022)
    “…Prognose…”
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  10. 10

    Predictive simulations of human sprinting: Effects of muscle-tendon properties on sprint performance

    Lin, Y. C., Pandy, M. G.
    Published in Medicine & Science in Sports & Exercise (2022)
    “…Prognose…”
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  11. 11

    Can we predict shoulder pain in swimmers based on e.g. on swimming volume in combination with risk factors?

    Feijen, S.
    Published in 2022 Virtual Sessions: XIVth International Symposium for Biomechanics and Medicine in Swimming - Swimmer´s Shoulder (2022)
    “…Prognose…”
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  12. 12

    Study of talented young male swimmers - scientific approach to the kinematic and physiological predictors of 400-m front crawl race

    Sokolowski, K., Strzala, M., Zeglen, M.
    Published in Acta of Bioengineering and Biomechanics (2022)
    “…Prognose…”
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  13. 13

    Laboratornoe testirovanie vysokokvalificirovannych grebcov-kanoistov s pozicii prognozirovanija uspešnosti ich sorevnovatel'noj dejatel'nosti (Laboratory testing for elite canoeists in the context of forecasting success of their competitive activities)

    Makarova, G. A., Pogrebnoy, A. I., Chernukha, S. M., Karpov, A. A., Kvashuk, P. V.
    Published in Vestnik sportivnoj nauki; Sports science bulletin (2020)
    “…Prognose…”
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  14. 14

    Predicting dive start performance from kinematic variables at water entry in (sub-)elite swimmers

    van Dijk, M. P., Beek, P. J., Knoek van Soest, A. J.
    Published in PLOS ONE (2020)
    “…Prognose…”
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  15. 15

    The prediction of swim start performance based on squat jump force-time characteristics

    Thng, S., Pearson, S., Rathbone, E., Keogh, J. W. L.
    Published in PeerJ (2020)
    “…Prognose…”
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  16. 16

    Relationships between a load-velocity profile and sprint performance in butterfly swimming

    Gonjo, T., Eriksrud, O., Papoutsis, F., Olstad, B. H.
    Published in International Journal of Sports Medicine (2020)
    “…Prognose…”
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  17. 17

    Variation and progression in performance of national junior athletes and their development to national athletes

    Clephas, C., Brückner, J. P.
    Published in German Journal of Exercise and Sport Research (2020)
    “…Prognose…”
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  18. 18

    The impact of different training load quantification and modelling methodologies on performance predictions in elite swimmers

    Mitchell, L. J. G., Rattray, B., Fowlie, J., Saunders, P. U., Pyne, D. B.
    Published in European Journal of Sport Science (2020)
    “…Prognose…”
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  19. 19

    Factor structure of swimmers for evaluating endurance and predicting 5000-m indoor and open water swimming performance

    Vural, F., Özkol, M. Z., Aksit, T.
    Published in Baltic Journal of Health and Physical Activity (2019)
    “…Prognose…”
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  20. 20

    Where Bolt and Bekele meet: The analytical basis of running performance estimates

    Westera, W.
    Published in International Journal of Sports Science and Engineering (2010)
    “…Prognose…”
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