Sports Science
TeamsApp is design around best practices, including peer-reviewed academic insights and recommendations. A selection of key publications influencing our thinking and design are listed below:
Scoring Workload
Acute : Chronic Workload Ratio (A:CWR) is a measure of consistency of activity, comparing the current week with the average over the preceding month. Read how Workload is used in TeamsApp →
- 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.
Read online → - 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.
Read online → - 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.
Read online → - Piggott, B., Newton, M. J., and 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.
Read online → - Hunter, J., 1986. The exponentially weighted moving average. J Quality Technol, 18(203), p.10.
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Maturation and Growth Timing
- Building Pathways in Irish Sport. National Coaching and Training Centre, University of Limerick, 2003.
- Mirwald RL, Baxter-Jones ADG, Bailey DA, Beunen GP 2002. An assessment of maturity from anthropometric measurements. Medicine and Science Sports Exercise, pp. 689–694.
Read online → - Award 1 Youth Coach Manual. GAA Learning. pp.7.
Read online → - Sławomir M. Kozieł1 and Robert M. Malina, 2018. Modified Maturity Offset Prediction Equations: Validation in Independent Longitudinal Samples of Boys and Girls. Sports Med., 48(1), pp. 221–236.
Read online → - van der Sluis A, Elferink-Gemser MT, Coelho-e-Silva MJ, Nijboer JA, Brink MS, Visscher C, 2014. Sport Injuries Aligned to P Height Velocity in Talented Pubertal Soccer Players. Int J Sports Med, 35, pp 351–355.
Read online → - van der Sluis A, Elferink-Gemser MT, Brink MS, Visscher C, 2015. Importance of peak height velocity timing in terms of injuries in talented soccer players. Int J Sports Med 36(4):32732.
Read online → - Lloyd RS, Oliver JL, 2012. The Youth Physical Development Model: A New Approach to Long-Term Athletic Development. Strength & Conditioning Journal, 34-3, pp61-72
- Balyi I, Way R, Higgs C, 2013. Long-Term Athlete Development. Human Kinetics
Read online → - Coaching Association of Canada. Long-term Athlete Development Information for Parents.
Read online →
Subjective Wellbeing
- Testoni S, Mansfield L, Dolan P 2018. Defining and measuring subjective well-being for sport policy. International Journal of Sport Policy and Politics, pp. 815-827.
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Miscellaneous
- Ramsbottom R, Brewer J, Williams C. A progressive shuttle run test to estimate maximal oxygen uptake. British Journal of Sports Medicine 1988;22. pp 141-144.
Read online → - Bangsbo, J, Iaia F., Krustrup P. The Yo-Yo Intermittent Recovery Test: A Useful Tool for Evaluation of Physical Performance in Intermittent Sports. Sports Medicine. 2008;38. pp 37-51.
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