Athlete Readiness Monitor
VALD objective testing × subjective wellness — cross-referenced for true readiness
Patel Training System · Prototype
Sample data only. Built to take manual VALD entry (ForceDecks, NordBord, ForceFrame, DynaMo) and your 6-item wellness survey. Thresholds below are fully adjustable per team, athlete, and coach.
CSV Import — Expected Format
One row per athlete per test date. Header row required. Missing columns are handled gracefully (composite re-weights over present metrics). Wellness items are 1–5.
Note: column names are mapped at the top of the script (
athlete,date,cmj_height,rsi_mod,ecc_braking_rfd,cm_depth,contraction_time,asym_fd,nord_peak_l,nord_peak_r,nord_asym,ff_peak_l,ff_peak_r,ff_asym,grip_l,grip_r,grip_asym,sleep,stress,soreness,energy,motivation,mood
Note: column names are mapped at the top of the script (
COLMAP). When you have a real VALD Hub export, adjust that one block to match your actual headers — nothing else changes.
Today’s Readiness
Readiness Quadrant
Ready
Monitor
Caution
Horizontal: objective (VALD, % of baseline). Vertical: subjective (wellness, % of baseline).
Agreement (both high / both low) is a clear signal; disagreement quadrants are where readiness hides.
Asymmetry / Injury-Risk Tracker
Within threshold
Over threshold
Left/right imbalance per device. Bars over the dashed threshold line flag injury-risk monitoring.
Objective vs. Subjective Trend
Objective composite (% baseline)
Wellness (% baseline)
Baseline (100%)
Objective Metrics — vs. Baseline
What each metric tells you
CMJ height — headline output, but can stay flat while fatigued.
RSI-mod — jump height ÷ time to takeoff; more sensitive to neuromuscular fatigue.
Ecc. braking RFD — eccentric rate of force; degrades early, your canary.
NordBord — eccentric hamstring strength + L/R imbalance.
ForceFrame — hip add/abduction strength & ratio (groin/adductor risk).
DynaMo grip — systemic fatigue proxy; drops when run down.
Adjustable Thresholds
Tune per team, athlete, or coach. Literature-informed defaults — refine against your own data.
Prototype for demonstration. Thresholds are starting scaffolds from the literature, not clinical cut-points — validate against your athletes. Not medical advice.