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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
    “…prognosis…”
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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.
    Published in International Journal of Exercise Science Conference Proceedings (2025)
    “…prognosis…”
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  3. 3

    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)
    “…prognosis…”
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  4. 4

    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.
    Published in Sports Orthopaedics and Traumatology (2025)
    “…prognosis…”
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  5. 5

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

    Weirich, C., Kim, J. W., Yoon, Y., Jeong, S.
    Published in Frontiers in Sports and Active Living (2025)
    “…prognosis…”
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  6. 6

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

    Meletakos, P., Noutsos, K., Paulo, A., Papavasileiou, A., Drikos, S.
    Published in Journal of Physical Education and Sport (2025)
    “…prognosis…”
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  7. 7

    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.
    Published in Journal of Physical Education and Sport (2025)
    “…prognosis…”
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  8. 8

    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)
    “…prognosis…”
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  9. 9

    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)
    “…prognosis…”
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  10. 10

    The influence of menstrual cycle phases on postconcussion outcomes and symptom reporting: a scoping review

    Carr, G., Fleddermann, M.-T.
    Published in Scandinavian Journal of Medicine & Science in Sports (2025)
    “…prognosis…”
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  11. 11

    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.
    Published in 29th Annual Congress of the European College of Sport Science, 2-5 July 2024, Book of Abstracts (2024)
    “…prognosis…”
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  12. 12

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

    Venzke, J., Schäfer, R., Manchado, C., Platen, P.
    Published in 29th Annual Congress of the European College of Sport Science, 2-5 July 2024, Book of Abstracts (2024)
    “…prognosis…”
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  13. 13

    The demands and determinants of success of the tackle and ruck between the pool and knockout stages of the Men`s International World Rugby Sevens Series

    Hendricks, S., de Klerk, S.
    Published in 29th Annual Congress of the European College of Sport Science, 2-5 July 2024, Book of Abstracts (2024)
    “…prognosis…”
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  14. 14

    Classification of success/failure in weightlifting snatch using a machine learning model based on barbell kinematics

    Kim, S., Moon, J.
    Published in International Journal of Sports Science & Coaching (2025)
    “…prognosis…”
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  15. 15

    AI-driven insights from the NFL scouting combine: Principal component analysis, k-means clustering, and regression for predicting draft position and status

    Doyle, B. P., Stanelle, S., Riechman, S. E., Mann, J. B.
    Published in International Journal of Exercise Science Conference Proceedings (2025)
    “…prognosis…”
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  16. 16

    A synthetic data-driven machine learning approach for athlete performance attenuation prediction

    Cordeiro, M. C., Cathain, C. O., Daly, L., Kelly, D. T., Rodrigues, T. B.
    Published in Frontiers in Sports and Active Living (2025)
    “…prognosis…”
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  17. 17

    Foresight in the game as a determinant of the effectiveness of technical and tactical operations among experienced handball players

    Lutkova, N. V., Makarov, Y. M., Pakholkova, N. V., Zinoviev, N. A.
    Published in Theory and Practice of Physical Culture (2025)
    “…prognosis…”
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  18. 18

    Predicting handball matches with machine learning and statistically estimated team strengths

    Felice, F., Ley, C.
    Published in Journal of Sports Analytics (2025)
    “…prognosis…”
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  19. 19

    Prediction of snatch and clean and jerk performance from physical performance measures in elite male weightlifters

    Sandau, I., Kipp, K.
    Published in The Journal of Strength and Conditioning Research (2025)
    “…prognosis…”
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  20. 20

    Predictors of match performance in the South African Rugby Union Women's Premier Division

    Sewry, N., MacMillan, C., Maree, W., Readhead, C., Cantwell, L., Jordaan, E., Swanevelder, S.
    Published in International Journal of Sports Science & Coaching (2024)
    “…prognosis…”
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