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  1. 1

    Status of swimming skills development among swimmers of different ages and genders - medalists at the XXXIII Olympic Games 2024, Paris, France

    Ganchar, I., Ganchar, O., Ciorba, C., Medynskyi, S., Protsenko, A., Tsybulska, V., Kyriienko, O., Sukhanova, H., Potop, V.
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  2. 2

    Relative age of youth swimmers and their sporting performance at the end of the season

    Mendoza-Castejón, D., Trinidad, A., De la Calle, L. M., Belando-Pedreño, N.
    Published in PLOS ONE (2025)
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  3. 3

    Modelling of performance prediction by analysis of elite swimmers` anthropometry, peak performance age and age-related performance progression

    Nazari Mehrabi, A., Imani, H., Khademnoe, O., Khantan, M., Lundberg, T. R., Gorzi, A.
    Published in PLOS ONE (2025)
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  4. 4

    An analysis of the 6-h ultra-marathon race using a machine learning approach

    Thuany, M., Weiss, K., Valero, D., Villiger, E., Andrade, M. S., Nikolaidis, P. T., Scheer, V., de Lira, C. A. B., Vancini, R. L., Cuk, I., Braschler, L., Rosemann, T., Knechtle, B.
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  5. 5

    Impact of course length on swimming performance across age groups and swimming strokes

    Iglesias García, J., Hermosilla-Perona, F., Gonjo, T., Juárez Santos-García, D.
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  6. 6

    Effect of gender and training years on the upper extremity dynamic balance function in adolescent swimmers

    Lu, Z.-A., Lv, Z.-F., Yang, Q.-H., Du, S.-H., Wang, Y.-C., Zhang, Y.-H.
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  7. 7

    Olympiazyklusanalyse Gewichtheben 2021-2024 (Olympic cycle analysis weight lifting 2021-2024)

    Lenz, H., Blenke, D.
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  8. 8

    Ausgewählte Aspekte der Olympiazyklusanalyse und Bestimmung der Relevanz von Schwierigkeit und Bewegungsgüte für die Platzierung im Wasserspringen (Selected aspects of Olympic cycle analysis and determination of the relevance of difficulty and quality of movement for placement in diving)

    Köthe, T., Eichstaedt, A.
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  9. 9

    Entwicklungstendenzen im Skateboarding bis zu den Olympischen Spielen in Paris 2024 (Trends in skateboarding leading up to the Olympic Games in Paris in 2024)

    Noth, N., Schönburg, S.
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  10. 10

    Core-temperature responses at the 3-km World aquatics open-water swimming Masters Championships in Doha 2024

    Esh, C. J., Dablainville, V., Dalansi, F., Kathuria, S., Cardinale, M.
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  11. 11

    Age and sex differences in IRONMAN World Championship performance

    Gries, K. J., Witto, P. E.
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  12. 12

    Quantification of the development trend of results during the career of Croatian sprinters in the 50m freestyle concerning the best European swimmers: Initial age-performance model

    Šiljeg, K., Dopsaj, M.
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  13. 13

    Predicting future athletic performance in young female road cyclists based on aerobic fitness and hematological variables

    Sitkowski, D., Malczewska-Lenczowska, J., Zdanowicz, R., Starczewski, M., Pokrywka, A., Zmijewski, P., Faiss, R.
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  14. 14

    How to compare relative age effect in different sports? A new methodological approach—example of youth olympic games

    Cular, D., Babic, M., Katovic, D., Beslija, T., Kezic, A.
    Published in Sports (2024)
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  15. 15

    Analysis of the 72-h ultramarathon using a predictive XG Boost model

    Knechtle, B., Villiger, E., Weiss, K., Valero, D., Gajda, R., Scheer, V., Barbosa de Lira, C. A., Braschler, L., Nikolaidis, P. T., Vancini, R. L., Cuk, I., Rosemann, T., Thuany, M.
    Published in Sport Sciences for Health (2024)
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  16. 16

    Gender-related differences in kinematic parameters of the start and performance in a 50m breaststroke swimming

    Matúš, I., Ružbarský, P., Vadašová, B., Eliaš, T., Czarny, W., Nemá, K.
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  17. 17

    Performance pathways in elite middle- and long-distance track and field athletes: the influence of a successful youth

    Brustio, P. R., Stival, M., Cardinale, M., Mulasso, A., Rainoldi, A., Boccia, G.
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  18. 18

    Peak performance: Characteristics and key factors in the development of the world top-8 swimmers based on longitudinal data

    Chen, Y., Huang, C., Chen, H., Huang, T., Su, C., Chen, J.
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  19. 19

    Swim start and performance in 50 m freestyle in different age categories of competitive swimmers

    Matúš, I., Vadašová, B., Eliaš, T., Czarny, W., Labudová, J., Grznár, L.
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  20. 20

    Advancing athlete development: how percentile comparison methods can identify youth developmental profiles (PCMs)

    Abbott, S., Hogan, C., Postiglione, G., Barclay, G., Cobley, S.
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