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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

    Mathematical models for off-ball scoring prediction in basketball

    Kono, R., Fujii, K.
    Published in Machine Learning and Data Mining for Sports Analytics. MLSA 2024. Communications in Computer and Information Science (2025)
    “…prognosis…”
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  3. 3

    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.
    Published in Machine Learning and Data Mining for Sports Analytics. MLSA 2024. Communications in Computer and Information Science (2025)
    “…prognosis…”
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  4. 4

    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)
    “…prognosis…”
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  5. 5

    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)
    “…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

    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.
    Published in The American Journal of Sports Medicine (2025)
    “…prognosis…”
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  8. 8

    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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  9. 9

    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)
    “…prognosis…”
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  10. 10

    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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  11. 11

    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.
    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

    Key game-related statistical parameters predicting performance index rating for u16, u18, and u20 basketball players in different playing positions

    Rajkovic, S., Ðokic, Z., Beretic, I., Ahmetovic, Z.
    Published in Sports Science and Health (2025)
    “…prognosis…”
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  14. 14

    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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  15. 15

    The application of artificial intelligence techniques in predicting game outcomes of professional basketball league: A systematic review

    Li, C., Zhang, H., Zhang, Y., Shen, J., An, R.
    Published in PLOS ONE (2025)
    “…prognosis…”
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  16. 16

    Examining isokinetic knee peak torque and time to peak torque as predictors of vertical jump height in division I men`s basketball players

    Westwood, C., Welbeck, A., Killelea, C., Howard, P., Faherty, M., Le, D., Zerega, R., Reiter, C. R., Sell, T. C.
    Published in PLOS ONE (2025)
    “…prognosis…”
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  17. 17

    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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  18. 18

    The relation between perceived need-supportive coaching behaviours, winning games, and team resilience: a longitudinal examination among basketball and soccer teams

    Van Puyenbroeck, S., Hermans, F., Boen, F., Fransen, K., Vande Broek, G.
    Published in International Journal of Sport and Exercise Psychology (2025)
    “…prognosis…”
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  19. 19

    Automatic segmentation and contextualization of elite handball matches with machine learning

    Bassek, M., Raabe, D., Banning, A., Memmert, D.
    Published in 13th World Congress of Performance Analysis of Sport and 13th International Symposium on Computer Science in Sport. IACSS&ISPAS 2022 (2023)
    “…prognosis…”
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  20. 20

    Momentum matters: Investigating high-pressure situations in the NBA through scoring probability

    Mihalyi, B., Biczók, G., Toka, L.
    Published in Machine Learning and Data Mining for Sports Analytics. MLSA 2023. Communications in Computer and Information Science (2024)
    “…prognosis…”
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