Rugby game performances and weekly workload: Using of data mining process to enter in the complexity.

ABSTRACT: This study aimed to i) identify key performance indicators of professional rugby matches, ii) define synthetic indicators of performance and iii) analyze how weekly workload (2WL) influences match performance throughout an entire season at different time-points (considering WL of up to 8 weeks prior to competition). This study uses abundant sports data and data mining techniques to assess player performance and to determine the influence of 2WL on performance. WL, locomotor activity and rugby specific actions were collected on 14 professional players (26.9 ± 1.9 years) during training and official matches. In order to highlight key performance indicators, a mixed-linear model was used to compare the players' activity relatively to competition results. This analysis showed that defensive sk

SUBMITTER: Dubois R 

PROVIDER: S-EPMC6988915 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature