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  1. 1

    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.
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  2. 2

    What the eyes don`t see: an objective assessment of players` contribution to team success in men`s rugby league

    Cameron, S., Radwan, I., Mara, J.
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  3. 3

    Establishing reliable acceleration-speed profiles: Minimum data requirements in rugby union matches

    Maviel, C., Couderc, A., Duché, P., Morin, J. B., Vercruyssen, F.
    Published in Journal of Sports Sciences (2024)
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  4. 4

    Differences in injury and concussion rates in a cohort of Canadian female and male youth Rugby Union: a step towards targeted prevention strategies

    Shill, I. J., West, S. W., Sick, S., Schneider, K. J., Wiley, J. P., Hagel, B. E., Black, A. M., Emery, C. A.
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  5. 5

    Monitoring external load during real competition in male handball players through big data analytics: Differences by playing positions

    Manchado, C., Tortosa-Martinez, J., Marcos-Jorquera, D., Gilart-Iglesias, V., Pueo, B., Chirosa-Rios, L. J.
    Published in Kinesiology (2024)
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  6. 6

    Effect of data-processing methods on acceleration summary metrics of GNSS devices in elite australian football

    Ellens, S., Carey, D. L., Gastin, P. B., Varley, M. C.
    Published in Sensors (2024)
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  7. 7

    What data should be collected for a good handball expected goal model?

    Mortelier, A., Rioult, F., Komar, J.
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  8. 8

    Evaluating the impact of a digitally implemented subjective standard on professional rugby union player management decision-making

    Ranaweera, J., Weaving, D., Zanin, M., Roe, G.
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  9. 9

    Missing data in sport science: a didactic example using wearables in american football

    Tenan, M. S.
    Published in Sports Medicine (2023)
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  10. 10

    How fast is fast? Defining velocity zones in women`s rugby league

    Cummins, C., Charlton, G., Paul, D., Buxton, S., Murphy, A.
    Published in Science and Medicine in Football (2023)
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  11. 11

    Multi-season injury surveillance in rugby union: addressing the challenges of data collection

    Rubio del Castillo, E., Fortington, L., Nimphius, S., Toohey, L., McDonald, W.
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  12. 12

    Machine learning in sports industry: Discover promising athletes for the future of handball

    Nunes, M. C.
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  13. 13

    Head impact research using inertial sensors in sport: a systematic review of methods, demographics, and factors contributing to exposure

    Le Flao, E., Siegmund, G. P., Borotkanics, R.
    Published in Sports Medicine (2022)
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  14. 14

    Technisch-taktische Analyse von Positionsdaten im Hochleistungs-7er-Rugby (Technical-tactical analysis of positional data in high performance in rugby sevens)

    Memmert, D., Rein, R., Häberlein, E.
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  15. 15

    Injury reduction programs for reducing the incidence of sport-related head and neck injuries including concussion: a systematic review

    Elliott, J., Heron, N., Versteegh, T., Gilchrist, I. A., Webb, M., Archbold, P., Hart, N. D., Peek, K.
    Published in Sports Medicine (2021)
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  16. 16

    The same story or a unique novel? Within-participant principal-component analysis of measures of training load in professional rugby union skills training

    Weaving, D., Dalton, N. E., Black, C., Darrall-Jones, J., Phibbs, P. J., Gray, M., Jones, B., Roe, G. A. B.
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