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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

    Lower extremity muscle volume as a prediction for sprint speed in collegiate football players

    Wilwand, M., Sponbeck, J., Allen, S. P., Snow, G., Hunter, I., Johnson, A. W.
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  3. 3

    A comparison of shot selection and goal scoring between collegiate and professional women`s and men`s ice hockey

    Csiernik, B., Cavell, M., Nauboris, K., Wattie, N.
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  4. 4

    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)
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  5. 5

    Mathematical models for off-ball scoring prediction in basketball

    Kono, R., Fujii, K.
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  6. 6

    GraphEIV: A framework for estimating the expected immediate value in basketball using graph neural networks

    Sá-Freire, B. M., Barbosa, G. R. G., Gonçalves, J. L. L., Schuster, J., Rios-Neto, H.
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  7. 7

    The effectiveness of a functional movement screen as a tool to predict cervical and trunk injuries in male university American football players: A prospective study

    Takito, M., Nagai-Tanima, M., Aoyama, T.
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  8. 8

    Peak VO2 and ventilatory threshold of male college basketball players: A sport-specific protocol for prediction, evaluation and application

    Duscha, B. D., Bennett, W. C., Fonseca, J., Potter, N., Belski, K. N., Reaves, M. A., Coyne, B. J., Amendola, A., Baggish, A. L., Kraus, W. E.
    Published in Physiological Reports (2025)
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  9. 9

    Advancing NFL win prediction: from Pythagorean formulas to machine learning algorithms

    Weirich, C., Kim, J. W., Yoon, Y., Jeong, S.
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  10. 10

    The predictive role of coach-athlete relationship quality in training engagement and skill development among adolescent basketball players

    Luo, Y., Li, S., Cao, Y., Luo, Z.
    Published in Frontiers in Psychology (2025)
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  11. 11

    Identifying performance indicators for success in the European men's handball championships

    Meletakos, P., Noutsos, K., Paulo, A., Papavasileiou, A., Drikos, S.
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  12. 12

    Effectiveness of single leg isometric bridge and Nordic hamstring exercise testing for prediction of hamstring injury risk in professional baseball players

    Driggers, A. R., Fry, A. C., Chochrane-Snyman, K. C., Wagle, J. P., McBride, J. M.
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  13. 13

    Statistical predictors of match outcomes: insights into offense defence and goalkeeping dynamics in elite handball at the Paris 2024 Olympics

    Ali, S. A., William, R., Kalaivani, S., Kirubakar, G., Margaret, G. D., Kumar, S., Bandhu, D.
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  14. 14

    A daily longitudinal analysis of reciprocal relationships between psychological states and performance in NHL players

    Forsberg, J., Lallo, A., Ivarsson, A., Stenling, A., Dieffenbach, K., Lind, J., Lundkvist, E.
    Published in Journal of Sports Sciences (2025)
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  15. 15

    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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  16. 16

    Machine learning in rugby union: predicting and identifying key performance indicators for professional rugby union players in match play based workload

    Ren, X., Boisbluche, S., Philippe, K., Demy, M., Äyrämö, S., Rautiainen, I., Ding, S., Prioux, J.
    Published in European Journal of Sport Science (2025)
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  17. 17

    Game-related statistics and performance trends in the FIBA Under-17 Basketball World Cup

    Mattakottil, A. T., Kumar, D., Perumal, J. S. R., Sundar, V., Narayanasamy, K. V.
    Published in Journal of Human Sport & Exercise (2025)
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  18. 18

    A new physical performance adjustment model linked to the effect of relative age in elite youth handball players

    Guillaume, J. P., Noel, C., Maurelli, O., Renouf, F., Prioux, J.
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  19. 19

    How tall will they be? Reliability of adult height prediction in female and male youth basketball players

    Rösch, D., Höner, O., Huth, M., Adelt, T., Maerz, A., Leyhr, D.
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  20. 20

    Cracking the code: predicting player positions in handball with machine learning

    Venzke, J., Schäfer, R., Manchado, C., Platen, P.
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