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The lack of information on senior players is also a limiting aspect, most likely due to teams not being comfortable with 1st team players undertaking study research alongside their playing duties. Consequently, researchers are encouraged to further develop precise sensible methods of each day EE data collection and develop study relationships with 1st group practitioners in order to permit senior player information collection. A single proposed resolution to the difficulties with regards to using HR monitoring has been the improvement of motion sensors working with triaxial accelerometers for assessment of each day physical activity [50,51]. Whilst their use to assess EE in the course of free living has been discovered to be trusted and valid [52], significant underestimation has been identified for workout-based activities [50]. Gastin and colleagues [53] not too long ago compared two commonly utilized triaxial accelerometers with a portable gas analyser throughout group sport movements, revealing substantial underestimation by up to ~30%. A single achievable option is the use of combined accelerometery and HR with branched-equation modelling which has been previously validated for the duration of both absolutely free-living and low-to-moderate intensity exercising [54,55,56]. It should be noted that such validation is device-dependent, with some models lacking predictive accuracy at an individual rather than group level [54]. Campbell and colleagues [57] reported poor measurement agreement when comparing such technologies against the DLW.