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  1. 1

    Developmental performance trajectories of talented tennis players during adolescence: A prospective longitudinal approach

    Rikken, K. T. H., Huijgen, B. C. H., Hoekstra, A. E., Brouwer, M., Den Hartigh, R. J. R.
    Published in Journal of Sports Sciences (2026)
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    “…Prognose…”
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  2. 2

    Performance prediction and athlete categorization using the anaerobic power reserve framework in rowing

    Rappelt, L., Donath, L., Wiedemann, T., Micke, F., Mühlenhoff, S., Held, S.
    Published in Medicine & Science in Sports & Exercise (2026)
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    “…Prognose…”
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  3. 3

    Rowing at the 2028 Los Angeles Olympic Games: 1500-m versus 2000-m performance and the predictive accuracy of a critical speed model

    Astridge, D. J., Peeling, P., Goods, P. S. R., Girard, O., Binnie, M. J.
    Published in International Journal of Sports Physiology and Performance (2026)
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    “…Prognose…”
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  4. 4

    Agreement between lab- and field-derived sprint power reserve in U23 elite cyclists

    Leo, P., Mujika, I.
    Published in International Journal of Sports Physiology and Performance (2026)
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    “…Prognose…”
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  5. 5

    Engagement and burnout as predictors of dual career outcomes in Finnish student-athletes: a longitudinal study

    Saarinen, M., Phipps, D. J., Kuokkanen, J., Bentzen, M., Romar, J. E., Gustafsson, H.
    Published in International Journal of Sport and Exercise Psychology (2026)
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    “…Prognose…”
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  6. 6

    Performance inflation in junior tennis: Longitudinal analysis and Bayesian forecasting of ranking thresholds, efficiency, and access equity

    Bozdech, M.
    Published in PLOS ONE (2026)
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    “…Prognose…”
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  7. 7

    A field-based predictive model for evidence-based classification in male footballers with cerebral palsy

    Reina, R., Quesada Rico, J. A., Sarabia, J. M., Roldan, A., Castillo, D., Iturricastillo, A., Henríquez, M., Cornejo, M. I., Yanci, J.
    Published in Scandinavian Journal of Medicine & Science in Sports (2026)
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  8. 8

    Alpine skis categorization and on-snow performance prediction form mechanical measurments

    Desbiens, A. L., Audet, J., Benghanem, A.
    Published in 10th International Congress on Science and Skiing, January 28 - February 1, 2025, Val di Fiemme, Italy (2025)
    congress proceedings
    “…Prognose…”
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  9. 9

    An ensemble of long short-term memory models to automatically detect end-range movement patterns in men's professional hard court grand slam tennis

    Armstrong, C., Peeling, P., Murphy, A., Denman, S., Reid, M.
    Published in European Journal of Sport Science (2026)
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  10. 10

    Predicting injury risk in NCAA Division I athletes using biomechanical and body composition screening data

    Strogalev, N., Bernhardt, V., Oldham, M. D., Kramarenko, V., Jones, B., Banks, B., Sabo, D. T., Alonso, D., Nate, J., Pegueros, K., Bakcha, O., Ochoa, S. T.
    Published in International Journal of Exercise Science Conference Proceedings (2026)
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  11. 11

    Comparison of different pose estimation models for lower-body kinematics: A validation study

    Fukushima, T., Blauberger, P., Guedes Russomanno, T., Lames, M.
    Published in Scientific Journal of Sport and Performance (2026)
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  12. 12

    Investigating the coach's eye when evaluating and selecting 3 × 3 basketball players

    Cermak, N., Koopmann, T., Siebert, L., Schorer, J., Zentgraf, K.
    Published in Frontiers in Psychology (2026)
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  13. 13

    A theoretic predictive model to simulate the interference effects of acute aerobic exercise on rate of force development in weightlifters

    Pistilli, E. E., Mizener, A. D., Clayton, S. A.
    Published in Frontiers in Physiology (2026)
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  14. 14

    A multimodal deep learning-based model for posture asymmetry recognition and sports injury risk prediction in adolescent table tennis athletes

    Wang, D., Guo, Y.
    Published in Frontiers in Physiology (2026)
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    “…Prognose…”
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  15. 15

    Predicting and understanding shooting performance in professional biathlon: a Bayesian approach

    Leonelli, M.
    Published in International Journal of Performance Analysis in Sport (2026)
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    “…Prognose…”
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  16. 16

    A machine learning-based model for comprehensive assessment and classification of cross-country skiing athletes

    Chen, Q., Liu, Z., He, D., Tang, Y., Gao, Y.
    Published in Research Quarterly for Exercise and Sport (2026)
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    “…Prognose…”
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  17. 17

    Prediction of subjective fatigue in professional soccer players: a data-driven method to optimize training approach to the match

    Simonelli, C., Trecroci, A., Formenti, D., Rossi, A.
    Published in Research Quarterly for Exercise and Sport (2026)
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  18. 18

    Predictors of goal difference and match outcome in Polish handball PGNiG Superleague in the season before, during and after the COVID-19 pandemic - regression analysis

    Krawczyk, P., Gajewski, J., Labinski, J., Szczerba, M., Smolinski, M., Bodasinski, S., Sienko, M.
    Published in International Journal of Performance Analysis in Sport (2026)
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  19. 19

    Pushing your luck: on chance, serendipity, and athlete development

    Baker, J., Johnston, K.
    Published in Sports Medicine - Open (2025)
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  20. 20

    Weltklasseleistung durch Vielfalt

    Petzoldt, T.
    Published 2026
    factsheet
    “…Prognose…”
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