Search Results - Ding, S.
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Machine learning in rugby union: predicting and identifying key performance indicators for professional rugby union players in match play based workload
Ren, X., Boisbluche, S., Philippe, K., Demy, M., Äyrämö, S., Rautiainen, I., Ding, S., Prioux, J.Published in European Journal of Sport Science (2025)“…Ding, S.…”
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Optimization of training for professional rugby union players: investigating the impact of different small-sided games models on gps-derived performance metrics
Ren, X., Henry, M., Boisbluche, S., Philippe, K., Demy, M., Ding, S., Prioux, J.Published in 29th Annual Congress of the European College of Sport Science, 2-5 July 2024, Book of Abstracts (2024)“…Ding, S.…”
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Does mental fatigue affect performance in racket sports? A systematic review
Ding, C., Soh, K. G., Sun, H., Roslan, S., Cao, S., Zhao, Y.Published in BMC Sports Science, Medicine and Rehabilitation (2024)“…Ding, C.…”
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Comparison of three "acute:chronic" workload ratio methods to monitor professional rugby union players` workload as a function of positions during pre-season period
Ren, X., Boisbluche, S., Demy, M., Ding, S., Prioux, J.Published in 28th Annual Congress of the European College of Sport Science, 4-7 July 2023, Paris, France (2023)“…Ding, S.…”
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