Search Results - Windt, J.

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  1. 1

    Injury risk model

    Windt, J., Gabbett, T.
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  2. 2

    More than a metric: How training load is used in elite sport for athlete management

    West, S. W., Clubb, J., Torres-Ronda, L., Howells, D, Leng, E., Vescovi, J. D., Carmody, S., Posthumus, M., Dalen-Lorentsen, T., Windt, J.
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  3. 3

    Making everyone`s job easier. How do data scientists fit as a critical member of integrated support teams?

    Windt, J., Taylor, D., Little, D., Sporer, B. C.
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  4. 4

    "To tech or not to tech?" A critical decision-making framework for implementing technology in sport

    Windt, J., MacDonald, K., Taylor, D., Zumbo, B. D., Sporer, B. C., Martin, D. T.
    Published in Journal of Athletic Training (2020)
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  5. 5

    Close encounters of the US kind: illness and injury among US athletes at the PyeongChang 2018 Winter Olympic Games

    Nabhan, D., Windt, J., Taylor, D., Moreau, W.
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  6. 6

    Are elite soccer teams` preseason training sessions associated with fewer in-season injuries? A 15-year analysis from the Union of European Football Associations (UEFA) elite club...

    Ekstrand, J., Spreco, A., Windt, J., Khan, K. K.
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  7. 7

    Does player unavailability affect football teams` match physical outputs? A two-season study of the UEFA champions league

    Windt, J., Ekstrand, J., Khan, K. M., McCall, A., Zumbo, B. D.
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  8. 8

    Training load--injury paradox: is greater preseason participation associated with lower in-season injury risk in elite rugby league players?

    Windt, J., Gabbett, T. J., Ferris, D., Khan, K. M.
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