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Calculating acute:chronic workload ratios using exponentially weighted moving averages provides a more sensitive indicator of injury likelihood than rolling averages
  1. Nicholas B Murray1,
  2. Tim J Gabbett2,
  3. Andrew D Townshend1,
  4. Peter Blanch3,4
  1. 1School of Exercise Science, Australian Catholic University, Brisbane, Queensland, Australia
  2. 2Gabbett Performance Solutions, Brisbane, Queensland, Australia
  3. 3Brisbane Lions Australian Football Club, Brisbane, Queensland, Australia
  4. 4School of Allied Health Sciences, Griffith University, Gold Coast, Queensland, Australia
  1. Correspondence to Nick B Murray, School of Exercise Science, Australian Catholic University, Brisbane, QLD 4014, Australia; nbmurr001{at}myacu.edu.au

Footnotes

  • Contributors NBM was primarily responsible for the collection and analysis of the study data. All authors were responsible for the study concept and design, and contributed to the writing and critical revision of the manuscript.

  • Competing interests None declared.

  • Ethics approval Approval was granted by the Australian Catholic University Human Research Ethics Committee.

  • Provenance and peer review Not commissioned; externally peer reviewed.

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Footnotes

  • Contributors NBM was primarily responsible for the collection and analysis of the study data. All authors were responsible for the study concept and design, and contributed to the writing and critical revision of the manuscript.

  • Competing interests None declared.

  • Ethics approval Approval was granted by the Australian Catholic University Human Research Ethics Committee.

  • Provenance and peer review Not commissioned; externally peer reviewed.

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