Search Results - Demy, M.
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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)“…Demy, M.…”
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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)“…Demy, M.…”
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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)“…Demy, M.…”
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rugby
GPS
load
performance
analysis
competition
performance factor
playing position (sport games)
prognosis
technology
training
acceleration
adjustment
development
elite sport
game action
game form
injury
load intensity
load volume
mathematic-logical model
measuring and information system
modelling
movement
playing field
prevention
professional sport
running
sports medicine
sports technical skill