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  1. 1

    Plasma and salivary measures of testosterone and cortisol levels in basketball players under various games / training conditions, and nutritional strategies: an updated systematic...

    Brini, S., Clark, C. C. T., Ouergui, I., Delextrat, A., Yagin, F. H., Muscella, A., Badicu, G., Bouassida, A., Clemente, F. M., Al-Mhanna, S. B., Tabnjh, A. K., Nobari, H., Gonzalez, J. C.
    Published in Frontiers in Physiology (2025)
    “…Background: In basketball research, hormonal monitoring has focused almost exclusively on plasma and salivary testosterone and cortisol, as these methods are more practical and accessible for applied sport settings than alternative approaches. …”
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  2. 2

    Head impacts in non-helmeted sports: Measuring and locating the impact force

    Sohail, J., Teixeira-Dias, F., Merriman, S.
    Published in Proceedings of the Institution of Mechanical Engineers, Part P: Journal of Sports Engineering and Technology (2025)
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  3. 3

    Parametric design methods development for the comparison of American football faceguards using validated structural stiffness models

    Ferriell, W. D., Wright, N. P., DesJardins, J. D., Batt, G. S.
    Published in Proceedings of the Institution of Mechanical Engineers, Part P: Journal of Sports Engineering and Technology (2025)
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  4. 4

    Study of menstrual cycle in training load variability in female basketball players

    Arenas-Pareja, M. Á., Lopez-Sierra, P., Ibáñez, S. J., García-Rubio, J.
    Published in Journal of Human Sport & Exercise (2026)
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  5. 5

    Identifying cognitive processes in male Rugby Union place-kickers using a "Think Aloud" protocol

    Hardie, T., Oliver, A., McCarthy, P. J., McCann, B.
    Published in Journal of Sport & Exercise Psychology (2025)
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  6. 6

    A visual analytics approach to basketball game understanding using image-based tracking and event detection

    Karungaru, S., Tanioka, H.
    Published in International Journal of Computer Science in Sport (2025)
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  7. 7

    Global positioning system-derived metrics and machine learning models for injury prediction in professional rugby union players

    Ren, X., Boisbluche, S., Philippe, K., Demy, M., Äyrämö, S., Rautiainen, I., Ding, S., Prioux, J.
    Published in European Journal of Sport Science (2025)
    “…Although injuries are challenging to predict, new technologies and the application of data science can provide valuable insights. This study aimed to predict injury risk among professional rugby union players using machine learning (ML) models. …”
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  8. 8

    The impact of blood flow restriction combined with variable resistance training at different loads on lower limb strength and explosiveness in collegiate basketball players

    Peng, W., Zhang, Z., Lu, D., Li, Z., Li, G., Sun, J., Li, D.
    Published in Frontiers in Physiology (2025)
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  9. 9

    Based on science a systematic review of study methodologies investigating performance in 15 s Rugby women student-athletes: the impact of sex

    Rishiraj, N., Prasad, N., Blair, M., Timmins, B.
    Published in Sport Sciences for Health (2025)
    “…Furthermore, we summarise the importance of physiological differences between the sexes required for each topic of applied sports medicine and sports science in RU women student-athletes. …”
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  10. 10

    Short-duration ischemic preconditioning does not improve jump or change of direction performance in elite male handball players

    Kamis, O., Akçay, N., Keskin, K., Rolnick, N., García Sánchez, C., de Queiros, V. S., Turhan, F. H., Vieira, J. G., Montoye, A., Aniceto, R. R.
    Published in PLOS ONE (2025)
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  11. 11

    Is the classification of athletes based on force-velocity profiling from countermovement jumps influenced by the choice of method?

    Paulsen, G., Lindberg, K., Eriksrud, O., Solberg, P., Bjørnsen, T., Seynnes, O., Gløersen-Haga, Ø., Bobbert, M., Rice, H.
    Published in Medicine & Science in Sports & Exercise (2025)
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  12. 12

    Submaximal oxygen deficit during incremental treadmill exercise in elite youth female handball players

    Béres, B., Györe, I., Zsákai, A., Dobronyi, T., Bakonyi, P., Szabó, T.
    Published in Sports (2025)
    “…Laboratory-based assessment of cardiorespiratory function is a widely applied method in sports science. Most performance evaluations focus on oxygen uptake parameters. …”
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  13. 13

    German basketball coaches` life satisfaction compared to that of teachers, managers, and the general population: derivatives for sports practice and sustainable education

    Wunder, J., Priem, M., Wagner, G. G., Stoll, O.
    Published in Journal of Applied Sports Sciences (2025)
    “…Journal of Applied Sports Sciences…”
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  14. 14

    Playing style identification in team sports: a systematic review from statistical dimensionality reduction to unsupervised machine learning

    Gu, L., Wang, W., Plakias, S., Zhang, S.
    Published in International Journal of Sports Science & Coaching (2025)
    “…This systematic review synthesizes evidence from 25 peer-reviewed studies, identified through a PRISMA-based search of Web of Science, PubMed, Scopus, and SPORTDiscus, to evaluate current applications of these techniques in classifying team playing styles. …”
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  15. 15

    Breaking the ice: exploring sex-based variations in the mechanics of ice hockey slap shots

    Wilkie, E. W. C., Tremblay, S., Renaud, P. J., Robbins, S. M.
    Published in Sports Biomechanics (2025)
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  16. 16

    How to assess leader capabilities: Applying AI algorithms to evaluate NBA head coaches

    Kim, P., Lee, S.
    Published in Journal of Sports Analytics (2025)
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  17. 17

    Foundations of expected points in rugby union: A methodological approach

    Martinez-Arastey, G., Datson, N., Smith, N., Robins, M.
    Published in Journal of Sports Analytics (2025)
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  18. 18

    Pythagorean expectation in EuroLeague data

    Michailidis, A., Ntzoufras, I., Marmarinos, C.
    Published in Journal of Sports Analytics (2025)
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  19. 19

    Algorithms for evaluating the body composition of elite female handball players: models for optimizing the body status for goalkeepers and field players

    Dopsaj, M., Petronijevic, M., Bon, M.
    Published in International Journal of Morphology (2025)
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  20. 20

    Difference in sprint performance between 3x3 and 5x5 professional male basketball players

    Cabarkapa, D., Krsman, D., Philipp, N., Cabarkapa, D., Fry, A.
    Published in International Journal of Exercise Science Conference Proceedings (2024)
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