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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
    “…Prognose…”
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  2. 2

    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)
    “…Prognose…”
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  3. 3

    Modelling of performance prediction by analysis of elite swimmers` anthropometry, peak performance age and age-related performance progression

    Nazari Mehrabi, A., Imani, H., Khademnoe, O., Khantan, M., Lundberg, T. R., Gorzi, A.
    Published in PLOS ONE (2025)
    “…Prognose…”
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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)
    “…Prognose…”
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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)
    “…Prognose…”
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  6. 6

    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)
    “…Prognose…”
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  7. 7

    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)
    “…Prognose…”
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  8. 8

    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)
    “…Prognose…”
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  9. 9

    Enhanced personalized prediction of baseball-related upper extremity injuries through novel features and explainable artificial intelligence

    Weng, Y.-H., Chang, P.-H., Wu, K.-P., Lin, J.-J., Huang, T.-S.
    Published in Journal of Sports Sciences (2025)
    “…Prognose…”
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  10. 10

    When should a runner on third base advance? Analyzing factors that influence the success of sacrifice flies in US Major League Baseball games

    Kato, M., Yanai, T.
    Published in Journal of Sports Analytics (2025)
    “…Prognose…”
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  11. 11

    Predicting handball matches with machine learning and statistically estimated team strengths

    Felice, F., Ley, C.
    Published in Journal of Sports Analytics (2025)
    “…Prognose…”
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  12. 12

    Predicting elbow valgus torque from upper extremity baseball pitching kinematics using markerless motion capture

    Nebel, A. R., Schmitt, A. C.
    Published in Sports Medicine and Health Science (2025)
    “…Prognose…”
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  13. 13

    Low-cost lower extremity screening to predict shoulder distraction force in college softball pitchers

    Ulman, S. M., Nebel, A. R., Bordelon, N. M., Oliver, G. D.
    Published in The American Journal of Sports Medicine (2025)
    “…Prognose…”
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  14. 14

    Long-term prognosis of patellar tendinopathy (jumper`s knee) in young, elite volleyball players: tendon changes 11 years after baseline

    Visnes, H., Bache-Mathiesen, L. K., Yamaguchi, T., Gilhuus, H. P., Algaard, K. R. H., Hisdal, E., Bahr, R.
    Published in The American Journal of Sports Medicine (2024)
    “…Prognose…”
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  15. 15

    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)
    “…Prognose…”
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  16. 16

    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)
    “…Prognose…”
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  17. 17

    Affective forecasting and social physique anxiety among female athletes: A pilot study

    Wolverton, J., Dobersek, U.
    Published in The Sport Journal (2023)
    “…Prognose…”
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  18. 18

    Diving into a pool of data: Using principal component analysis to optimize performance prediction in women`s short-course swimming

    Staunton, C. A., Romann, M., Björklund, G., Born, D.-P-
    Published in Journal of Sports Sciences (2024)
    “…Prognose…”
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  19. 19

    Dryland performance tests are not good predictors of world aquatics points in elite male and female swimmers

    Selvamoorthy, R., Macgregor, L. J., Donald, N., Hunter, A. M.
    Published in Sports (2024)
    “…Prognose…”
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  20. 20

    Predictive value of technical throwing skills on nomination status in youth and long-term career attainment in handball

    Koopmann, T., Lath, F., Büsch, D., Schorer, J.
    Published in Sports Medicine - Open (2022)
    “…Prognose…”
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