Search Results - Ley, C.

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  1. 1

    Association between the use of daily injury risk estimation feedback (I-REF) based on machine learning techniques and injuries in athletics (track and field): results of a prospect...

    Dandrieux, P.-E., Navarro, L., Blanco, D., Ruffault, A., Ley, C., Bruneau, A., Iatropoulos, S., Chapon, J., Hollander, K., Edouard, P.
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  2. 2

    Predicting handball matches with machine learning and statistically estimated team strengths

    Felice, F., Ley, C.
    Published in Journal of Sports Analytics (2025)
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  3. 3

    Quantifying player versatility through lineup-based playing styles in elite basketball

    Guo, T., Ley, C., Cui, Y., Shen, Y., Zhang, C., Mi, J.
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  4. 4

    Evaluating one-shot tournament predictions

    Ekstrøm, C. T., Van Eetvelde, H., Ley, C., Brefeld, U.
    Published in Journal of Sports Analytics (2021)
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  5. 5

    The Probabilistic Final Standing Calculator: a fair stochastic tool to handle abruptly stopped football seasons

    Van Eetvelde, H., Hvattum, L. M., Ley, C.
    Published in arXiv e-print repository (2021)
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  6. 6

    Bedeutung neuer Technologien in der Prävention (Importance of new technologies in prevention)

    Tischer, T., Grimm, B., Hoppe, M. W., Freiwald, J., Weisskopf, L., Ley, C.
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  7. 7

    A hybrid random forest to predict soccer matches in international tournaments

    Groll, A., Ley, C., Schauberger, G., Van Eetvelde, H.
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  8. 8

    Mutual point-winning probabilities (MPW): a new performance measure for table tennis

    Ley, C., Dominicy, Y., Bruneel, W.
    Published in Journal of Sports Sciences (2018)
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