Sports Science

Advancing Player Welfare

We interpret Player Welfare as additionally applying tried and tested algorithms and analytics from Sports Science to data captured during the course of coordinating team activities and communications, presented in a clear, visual graphic. Key published papers for measures implemented in SURPASSPORT are listed below.

Workload Score

Known formally as "Acute : Chronic Workload Ratio" (A:CWR), this measure is used by elite teams to measure the consistency of activity. It operates off Arbitrary Units ("AU"s) and compares such values for the current period when compared to the average over the preceding number of periods.

SURPASSPORT uses a measure of Activity Duration by Intensity, averaged over 7 days and compared to an Exponentially Weighted Moving Average over the preceding 30 days.

  • Gabbett, T., 2016. The training—injury prevention paradox: should athletes be training smarter and harder?. British Journal of Sports Medicine, 50(5), pp.273-280.
  • Hulin, B., Gabbett, T., Lawson, D., Caputi, P. and Sampson, J., 2015. The acute: chronic workload ratio predicts injury: high chronic workload may decrease injury risk in elite rugby league players. British Journal of Sports Medicine, 50(4), pp.231-236.
  • Murray, N., Gabbett, T., Townshend, A. and Blanch, P., 2016. Calculating acute: chronic workload ratios using exponentially weighted moving averages provides a more sensitive indicator of injury likelihood than rolling averages. British Journal of Sports Medicine, 51(9), pp.749-754.
  • Piggott, B., Newton, M. J., & McGuigan, M. R., 2009. The relationship between training load and incidence of injury and illness over a pre-season at an Australian football league club. Journal of Australian Strength and Conditioning, 17(3), pp. 4-17.
  • Hunter, J., 1986. The exponentially weighted moving average. J Quality Technol, 18(203), p.10.

Read how Workload ➠ is used in SURPASSPORT.