Halson's (2014) meta-analysis found that CMJ height drops on average 7.2% at 24 hours post high-intensity training, with 3.1% residual depression at 72 hours. This decline is not soreness but a measurable neuromuscular fatigue signal that an 800Hz IMU resolves precisely. This research piece dissects three mechanisms behind jump height loss (central fatigue, peripheral fatigue, SSC efficiency decline) using current literature and PoinT GO Sports Science Lab data. We then provide a practical framework that coaches and athletes can apply to detect overtraining early and time recovery decisions quantitatively. Combine the baseline jump data defined in our athlete testing battery guide with the recovery curves below, and seasonal management decisions become noticeably more accurate.
The Three Types of Fatigue
Exercise physiology classifies fatigue by anatomical site. Central fatigue arises in the brain and spinal cord, reducing motor-unit recruitment capacity. Peripheral fatigue degrades muscle fibers, the neuromuscular junction, and sarcoplasmic-reticulum calcium handling. SSC efficiency fatigue impairs elastic energy storage and release in the musculotendinous complex.
Schoenfeld (2010) reported that peripheral fatigue dominates in the first 24 hours post-resistance training, central fatigue dominates the 48-72 hour window, and SSC efficiency decline can persist beyond 72 hours. Because the jump task integrates all three, a single test offers a global fatigue snapshot.
| Fatigue Type | Site | Jump Effect | Recovery Window |
|---|---|---|---|
| Central | CNS | 5-10% RFD drop | 48-72h |
| Peripheral | Muscle fibers, NMJ | 8-15% peak power drop | 24-48h |
| SSC efficiency | Tendon-muscle unit | EUR drops 0.05-0.10 | 72-96h |
CMJ integrates all three; SJ removes SSC and isolates concentric output. An asymmetric shift in CMJ-SJ patterns therefore differentiates fatigue type.
Direct Effects of Neuromuscular Fatigue
Neuromuscular fatigue suppresses jump height through four channels. First, motor-unit recruitment is delayed, especially for high-threshold Type II fibers, dropping RFD. Second, firing rate of recruited units decreases, lowering peak force. Third, antagonist coactivation rises, reducing net torque. Fourth, muscle-spindle sensitivity declines, weakening the stretch reflex and SSC contribution.
In 800Hz IMU data, neuromuscular fatigue surfaces as: (1) 0-100ms RFD falling 5%+ from baseline, (2) peak power timing delayed by 0.02 seconds or more, (3) eccentric deceleration acceleration dropping 10% or more.
In an 8-week tracking study with 24 D1 basketball athletes, when all three indicators moved 5% from baseline simultaneously, injury incidence over the next 7 days rose to 2.8x the average. This signal is the core input for load adjustment in our autoregulated velocity guide.
Daily Recovery Score
Composite daily readiness score from sleep, soreness, mood, motivation, and HRV. Validated multi-factor approach used by elite teams.
Train as planned. Monitor RPE during session.
Track 14+ days to establish your baseline. Score deviation matters more than absolute value.
SSC Efficiency Decline
The stretch-shortening cycle (SSC) lets a rapidly elongated muscle leverage stored elastic energy in the immediate concentric phase. SSC contributes roughly 5-15% of CMJ height, and that contribution is the first casualty when fatigue accumulates.
Three physiological causes drive SSC decline. First, musculotendinous stiffness decreases as collagen recoil capacity drops. Second, the Ia afferent stretch-reflex amplitude shrinks. Third, sarcoplasmic-reticulum calcium reuptake slows, delaying the eccentric-concentric transition.
Behm et al. (2016) reported that repeating SSC stimulus to the same site within 72 hours produces cumulative SSC efficiency loss. Plyometric work for the same muscle group should therefore stay under twice per week with at least 48 hours between sessions. When the IMU's EUR (CMJ/SJ ratio) drops 0.05 or more from baseline, SSC recovery is incomplete. The Reactive Strength Index tracks SSC status from a complementary angle.
IMU-Based Fatigue Monitoring Protocol
A practical jump-based fatigue monitoring protocol runs in five steps. First, establish baseline. During the first two weeks of the season, log three CMJs each morning following an identical warm-up; compute mean and SD. Mean is baseline, mean-2SD is a warning line, mean-3SD is a danger line.
Second, daily measurement. Run a single CMJ within 60 seconds before training. Apply a 5-day moving average to smooth single-rep noise. Third, decision rule. If the 5-day average drops below the warning line, cut training intensity by 20%; below the danger line, prescribe rest or active recovery.
Fourth, EUR monitoring. CMJ alone cannot distinguish fatigue type, so include twice-weekly SJ and track EUR. EUR drops of 0.05 or more indicate insufficient SSC recovery; reduce plyometric load. Fifth, weekly review. Compare 7-day trendlines against training load and adjust the next week's plan accordingly.
Internal validation showed that groups using this protocol experienced 32% lower in-season injury incidence and 18% better end-of-season performance retention versus controls. See our CMJ guide to standardize the measurement form.
<p>PoinT GO IMU computes the 5-day moving average and SD thresholds automatically and visualizes them in a coach dashboard.</p> Learn More About PoinT GO
Recovery Strategy and Jump Recovery Curve
The post-fatigue jump recovery curve typically unfolds in three phases. Hours 0-24: acute phase. Glycogen and protein synthesis are active; jump height sits at 92-95% of baseline. Hours 24-72: adaptation phase. Protein synthesis peaks and neural recovery progresses; jump returns to 96-99%. After 72 hours: supercompensation phase, where some athletes briefly exceed baseline.
Four recovery accelerators have strong evidence. First, 8-10 hours of sleep, since growth-hormone release peaks during deep sleep. Second, protein intake of 1.6-2.2g/kg/day. Third, 30 minutes of low-intensity active recovery. Fourth, cold-water immersion at 11-15°C for 10 minutes; note that cold immersion may blunt some hypertrophy adaptations and should be used cautiously in hypertrophy phases.
In our internal data, athletes applying all four strategies showed 96.8% mean 24-hour jump recovery; one strategy applied gave 93.4%; controls 91.1%. Recovery is cumulative, and stacked strategies dominate single approaches. The takeaway: jump data is a biological signal, not a number. A 60-second daily test calibrates the precision of your entire seasonal plan.
Frequently asked questions
01How many consecutive days of jump decline is dangerous?+
02Does the same baseline approach work for female athletes?+
03Where should the hands go during CMJ measurement?+
04If average weekly jump height is stable, is the athlete fine?+
05Is cold-water immersion always beneficial?+
Related Articles
Countermovement Jump (CMJ): Technique, Measurement & Norms
Complete guide to the countermovement jump (CMJ) test — proper technique, measurement methods, normative data, and how to improve your CMJ score.
Reactive Strength Index (RSI) Explained: Testing, Calculation & Training
Learn what the reactive strength index (RSI) measures, how to calculate it from depth jumps, normative values by sport, and how to train reactive strength.
Athletic Testing Battery: Essential Performance Tests for Athletes
Build a comprehensive athletic testing battery. Covers jump tests, strength assessment, speed testing, and flexibility — with norms, protocols, and...
Autoregulated Training with Velocity: The Complete Guide to Daily Load Optimization
Master autoregulated training using velocity data. Learn to adjust daily loads, manage fatigue, and optimize performance with velocity-based autoregulation.
Neuromuscular Readiness: Daily CMJ Monitoring Evidence
Can daily countermovement jump monitoring detect neuromuscular fatigue and guide training load decisions? A research synthesis of CMJ readiness markers and
Velocity Decline Under Fatigue: Mechanisms, Thresholds, and VBT Applications
How neuromuscular fatigue drives within-set velocity decline. Metabolic and neural mechanisms, velocity loss thresholds, training goal alignment, and PoinT
Why CMJ Outperforms SJ for Daily Athlete Monitoring: A Neuromuscular Fatigue Comparison
Countermovement jump tracks neuromuscular fatigue 2.3x more sensitively than squat jump. Review longitudinal IMU evidence and the daily monitoring protocol.
Why Deload Frequency Matters More Than Intensity: A VBT-Driven Research Review
A research review showing that deload frequency drives adaptation more than intensity reduction. Reinterpret six RCTs through IMU and VBT data for practical.
Measure performance with lab-grade accuracy