Racing

Mathematical reference for race-time prediction across distances, the Riegel power-law model and its empirically-refined Vickers-Vertosick successor. Documents the prediction equations, fatigue-exponent calibration, distance-range applicability, and the substantial systematic biases that arise when prediction is extrapolated outside the calibrated training-distribution domain.

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 pre-competition taper, the controlled reduction in training load designed to maximise Load Balance gain while preserving Chronic Load and neuromuscular sharpness. Documents the Bosquet et al. meta-analysis dose-response (volume cut 41-60 %, intensity preserved, 8-14 day duration produces ~ 3 % performance gain), the underlying impulse-response model that explains why Acute Load decays faster than Chronic Load, the empirical event-distance dependence of optimum taper structure, and the boundary conditions where excessive taper duration crosses into detraining.