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Readiness Score
Mathematical and physiological reference for the composite Readiness Score, a 0-100 daily index that synthesises objective training-state derivatives (Chronic Load, Acute Load, Load Balance, resting HR, HRV) with subjective wellness self-report (sleep quality, soreness, energy, stress) into a single decision-supporting indicator. Documents the underlying weighted-sum mathematics, the parasympathetic and load-balance evidence base, the divergence-detection rules between objective and subjective components, and the periodization heuristics for interpreting trend vs single-day signals.
Mathematical and physiological reference for the composite Readiness Score, a 0-100 daily index that synthesises objective training-state derivatives (Chronic Load, Acute Load, Load Balance, resting HR, HRV) with subjective wellness self-report (sleep quality, soreness, energy, stress) into a single decision-supporting indicator. Documents the underlying weighted-sum mathematics, the parasympathetic and load-balance evidence base, the divergence-detection rules between objective and subjective components, and the periodization heuristics for interpreting trend vs single-day signals.
References
- Plews DJ, Laursen PB, Stanley J, Kilding AE, Buchheit M (2013). Training adaptation and heart rate variability in elite endurance athletes: opening the door to effective monitoring. Sports Med 43:773-781. doi: 10.1007/s40279-013-0071-8 · PMID 23852425
- Buchheit M (2014). Monitoring training status with HR measures: do all roads lead to Rome? Front Physiol 5:73. doi: 10.3389/fphys.2014.00073 · PMID 24578692
- Saw AE, Main LC, Gastin PB (2016). Monitoring the athlete training response: subjective self-reported measures trump commonly used objective measures: a systematic review. Br J Sports Med 50:281-291. doi: 10.1136/bjsports-2015-094758 · PMID 26423706
- Bourdon PC, Cardinale M, Murray A, et al. (2017). Monitoring athlete training loads: consensus statement. Int J Sports Physiol Perform 12 Suppl 2:S2161-S2170. doi: 10.1123/IJSPP.2017-0208 · PMID 28463642
- Kellmann M, Pelka M, Beckmann J (2019). Modification and applicability of questionnaires to assess the recovery-stress state among adolescent and child athletes. Front Physiol 10:1414. doi: 10.3389/fphys.2019.01414 · PMID 31824332
- Halson SL (2014). Monitoring training load to understand fatigue in athletes. Sports Med 44 Suppl 2:S139-S147. doi: 10.1007/s40279-014-0253-z · PMID 25200666