Search Results - Ren, X.
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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)“…Ren, X.…”
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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)“…Ren, X.…”
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Position-specific workload of professional rugby union players during tactical periodization training
Hu, X., Boisbluche, S., Philippe, K., Maurelli, O., Ren, X., Li, S., Xu, B., Prioux, J.Published in PLOS ONE (2024)“…Ren, X.…”
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Position-specific external workload of professional rugby union players during tactical periodization training
Hu, X. P., Boisbluche, S., Ren, X. Y., Philippe, K., Maurelli, O., Li, S. C., Xu, B., Prioux, J.Published in 28th Annual Congress of the European College of Sport Science, 4-7 July 2023, Paris, France (2023)“…Ren, X. Y.…”
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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)“…Ren, X.…”
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Related Subjects
rugby
GPS
load
performance
playing position (sport games)
analysis
training
competition
measuring and information system
performance factor
professional sport
prognosis
tactics
technology
acceleration
adjustment
agility
asymmetry
basketball
biomechanics
change of direction
competition period
development
elite sport
game action
game form
injury
jump
limbs
load intensity