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  1. 1

    Redefining roles in wheelchair basketball: A data driven approach to characterising playing positions

    Wilde, P., Santos-Fernandez, E., Peeling, P., Mitchell, L., Denman, S.
    Published in Journal of Sports Sciences (2026)
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  2. 2

    A global evaluation of musculoskeletal injuries and associated risk factors in competitive aerobic and artistic gymnasts: a systematic review and meta-analysis

    Li, D., Liu, Y., Liu, Y.
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  3. 3

    Development of a secure, standardised and interoperable surveillance platform for race-related injury and illness data within the UCI men`s and women`s road cycling world tour: a s...

    Fallon, T., Decorte, R., Verstockt, S., Palmer, D., Bigard, X., Heron, N.
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  4. 4

    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.
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  5. 5

    Machine learning analysis of intensity profiles and key indicators in standard microcycle of professional male soccer players

    Pillitteri, G., Musa, R. M., Clemente, F. M., Bongiovanni, T., Petrucci, M., Bianco, A., Beato, M., Battaglia, G.
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  6. 6

    Identifying risk patterns for sudden cardiac death in athletes: a clustering and principal component analysis approach

    Sgarro, G. A., Vasco, P., Santoro, D., Grilli, L., Giglio, M., Brunetti, N. D., Traetta, L., Cibelli, G., Valenzano, A. A.
    Published in PLOS ONE (2026)
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  7. 7

    Development and implementation of an injury and illness surveillance system for team USA

    Post, E. G., Anderson, T., Samson, O., Gidley, A. D., Triplett, A. N., Donaldson, A. T., Finnoff, J. T., Adams, W. M.
    Published in Injury Epidemiology (2025)
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  8. 8

    Playing style identification in team sports: a systematic review from statistical dimensionality reduction to unsupervised machine learning

    Gu, L., Wang, W., Plakias, S., Zhang, S.
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  9. 9

    Functional data analysis of the power-duration relationship in cyclists

    Puchowicz, M. J., Skiba, P. F.
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  10. 10

    Investigation of lower extremity injuries in men`s ice hockey: a 10-year analysis across the COVID-19 era

    Kelley, M. G., Denwood, H., Shah, R., Yendluri, A., Dhanjani, S., Fitch, A., Berube, M., Li, X., Parisien, R. L.
    Published in The Physician and Sportsmedicine (2025)
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  11. 11

    Missing data? Fear not! Best practices for handling, reporting, and embracing missing data

    Moore, E. W. G.
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  12. 12

    Evaluating external load responses to cumulative playing time and position in the European Handball Federation Women`s Euro 2022 through an IoT and Big Data architecture approach

    Karcher, C., Font, R., Marcos-Jorquera, D., Gilart-Iglesias, V., Manchado, C.
    Published in Biology of Sport (2025)
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  13. 13

    Athlete health and human performance will not improve without transdisciplinary collaboration and data sharing in elite sport

    Tenan, M. S., Alejo, B.
    Published in Journal of Athletic Training (2024)
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  14. 14

    Training-load management ambiguities and weak logic: creating potential consequences in sport training and performance

    West, S., Shrier, I., Impellizzeri, F. M., Clubb, J., Ward, P., Bullock, G.
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  15. 15

    Performance analysis in SailGP: A machine learning approach

    Zentai, B., Toka, L.
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  16. 16

    Defining health promoting sports coaches skills: A systematic review

    Barros, K., Vuillemin, A., Rostan, F., Lemmonier, F., Guillemin, F., Tezier, B., Van Hoye, A.
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  17. 17

    The landscape of validity and reliability practices from applied performance analysts: Establishing a best practice framework

    Francis, J. W., Kyte, J. L., Bateman, M., Nicholls, S. B.
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  18. 18

    Response of infrared thermography related parameters to (non-)sport specific exercise and relationship with internal load parameters in individual and team sport athletes—a systema...

    Masur, L., Brand, F., Düking, P.
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  19. 19

    Heading in female soccer: a scoping systematic review

    Shen, Y., Chen, S., Liu, Q., Cicchella, A.
    Published in Sports (2024)
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  20. 20

    Model development for an artificial intelligence-based NCAA football ranking system: applying the PageRank algorithm

    Lee, S., Kang, M., Park, J.-H., Yun, H.-J.
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