title: Monitoring Elite Soccer Players' External Loads Using Real-Time Data.
abstract: OBJECTIVE
  To assess the validity of measuring locomotor activities and PlayerLoad using real-time (RT) data collection during soccer training.
  
  
  METHODS
  Twenty-nine English soccer players participated. Each player wore the same MEMS device (Micromechanical Electrical Systems; S5, Optimeye; CatapultSports, Melbourne, Australia) during 21 training sessions (N = 331 data sets) in the 2015-16 and 2016-17 seasons. An RT receiver (TRX; Catapultsports, Melbourne, Australia) was used to collect the locomotor activities and PlayerLoad data in RT and compared with the postevent downloaded (PED) data. PlayerLoad and locomotor activities (total distance covered; total high-speed running distance covered, >5.5#x00A0;m/s; total sprinting distance covered, >7 m/s; maximum velocity) were analyzed.
  
  
  RESULTS
  Correlations were near perfect for all variables analyzed (r = .98-1.00), with a varied level of noise between RT and PED also (0.3-9.7% coefficient of variation).
  
  
  CONCLUSIONS
  Locomotor activities and PlayerLoad can use both RT and PED concurrently to quantify a player's physical output during a training session. Caution should be taken with higher-velocity-based locomotor activities during RT compared to PED.
authors.forename: Steve
authors.initials: S
authors.lastname: Barrett
mesh_terms: D054874:Athletic Performance / Q000502:physiology*; D006801:Humans; D055617:Micro-Electrical-Mechanical Systems / Q000295:instrumentation*; D012420:Running / Q000502:physiology; D012916:Soccer / Q000502:physiology*
keywords: MEMS devices; locomotor activities; playerLoad; technology; training