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  1. 1

    Künstliche Intelligenz und maschinelles Lernen in der Sportwissenschaft (Artificial intelligence and machine learning in sports science)

    D. Memmert
    Published 2025
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  2. 2

    The influence of age categories on performance parameters during on-court testing in wheelchair basketball players

    Honnorat, L., Weissland, T., Pradon, D., Alberca, I. A., Rivière, J. R., Brassart, F., Vigié, O., Faupin, A.
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  3. 3

    Sport-specific variability in the energy cost of constant speed running: Implications for metabolic power estimations

    Venzke, J., Schäfer, R., Platen, P.
    Published in PLOS ONE (2025)
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  4. 4

    The classification of technical devices in the training process of athletes playing games

    Guba V. P., Rodin A. V., Skripko A. D., Pleshakov A. A.
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  5. 5

    Topological structure difference between isometric strength and rate of force development in elite youth female team handball players

    Petronijevic, M., Dopsaj, M., Valdevit, Z.
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  6. 6

    Test-retest reliability of strength, power, agility, and sprint performance in female team handball players

    Osborne, J. O., Kildalsen, I., Pedersen, S., Pettersen, S. A., Welde, B., Minahan, C. L., Andersson, E. P.
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  7. 7

    A systematic review of lower limb strength tests used in elite basketball

    Faulks, T., Sansone, P., Walter, S.
    Published in Sports (2024)
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  8. 8

    The impact of the official basketball Champions League game on lower-body neuromuscular performance characteristics

    Cabarkapa, D., Cabarkapa, D. V., Aleksic, J., Mihajlovic, F., Fry, A. C.
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  9. 9

    The relationship between specific game-based and general performance in young adult elite male team handball players

    Wagner, H., Hinz, M.
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  10. 10

    The discriminative, criterion, and longitudinal validity of small-sided games to assess physical fitness in female basketball players

    Gil, E. F., Rodríguez-Fernández, A., Vaquera, A., Suárez-Iglesias, D., Scanlan, A. T.
    Published in Journal of Sports Sciences (2023)
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  11. 11

    Influence of maximal strength performance in front squat and deadlift on linear sprint and jump performance in male youth elite basketball players

    Warneke, K., Keiner, M., Schiemann, S., Lohmann, L., Wirth, K.
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  12. 12

    Selected parameters of anaerobic capacity among playersin various positions on the Polish Superleague handball team

    Krawczyk, K., Slowak, M.
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  13. 13

    Validity and reliability of a unique aerobic field test for estimating VO2max among basketball players

    Gottlieb, R., Shalom, A., Alcaraz, P. E., Calleja-González, J.
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  14. 14

    Effect of small-sided games and high-volume continuous endurance running on the condition of adolescent female handball players in the pre-season

    Belka, J., Hulka, K., Safar, M.
    Published in Medicina dello Sport (2022)
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  15. 15

    The importance of posture and body composition for the stability and selected motor abilities of professional handball players

    Wilczynski, J., Cieslik, M., Maszczyk, A., Zwierzchowska, A.
    Published in Journal of Human Kinetics (2022)
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  16. 16

    Body composition and fitness profile of Polish top u15 male handball players: talent identification and selection model for sport high schools

    Wartalowicz, M. H., Plusa, J., Przystupinska, A.
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  17. 17

    Assessing selected parameters of targeted fitness among youth training handball

    Krawczyk, K.
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  18. 18

    Does footwear influence countermovement jump parameters used to assess performance in collegiate basketball players?

    Heishman, A. D., Peak, K. M., Daub, B. D., Miller, R. M., Freitas, E. D.
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  19. 19

    The relationship between baseline and physical performance screening tests, and game performance outcomes in elite youth basketball

    Dayson, M.
    Published 2020
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  20. 20

    Schnell und explosiv agieren! - Effektives Agilitätstraining mit Signalleuchten (Act quickly and explosively! - Effective agility training with signal lights)

    Daebel, S.
    Published in Handballtraining (2021)
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