How to Use RSI for Plyometric Readiness: PoinT GO Drop Jump Analysis

How to Use RSI for Plyometric Readiness: PoinT GO Drop Jump Analysis is a sports science topic that provides practical value for athletes and coaches. From theoretical background to field application, this guide synthesizes recent research (2018-2025) and elite coaching experience.

Assess plyometric training readiness and optimal drop height by measuring RSI with PoinT GO drop jumps. We also present objective data measurement strategies using PoinT GO sensors. Related: how to improve change of direction

Scientific Background

Understanding How to Use RSI for Plyometric Readiness requires examining key neuromuscular mechanisms. Muscle contraction begins with electrical signals transmitted from the CNS through α-motor neurons to muscle fibers.

Motor Unit Recruitment

Per Henneman's Size Principle (1965), motor units recruit from smallest to largest: Type I → Type IIa → Type IIx. Above ~80% maximum strength, most motor units are active, with further force from rate coding increases. Type IIx fibers contract 4-6x faster than Type I.

Force-Velocity and Power

From Hill's equation (1938), power (P = F × V) optimizes at 30-60% of max force and velocity. Samozino et al. (2012) demonstrated force-velocity profiling accurately diagnoses athlete weaknesses. See also: how to assess fatigue with jump test

Practical Execution Guide

Systematic Warm-Up (10-15 min)

① General 5-8 min (jog/row) → ② Dynamic mobility drills (world's greatest stretch, leg swings, hip circles ×8 each) → ③ Neural activation (light jumps 3×3, band pull-aparts 2×12) → ④ Specific warm-up (45%, 65%, 80% for 3-5 reps).

Core Principles

• Maximal velocity intent: González-Badillo (2017): increases EMG 10-15%.
• Technique first: End sets when form degrades.
• Rest periods: Strength 3-5 min, power 2-3 min, hypertrophy 60-90 sec.

Velocity Monitoring

Track MCV with PoinT GO. End sets at 20%+ velocity loss (Pareja-Blanco et al., 2017). Read more: how to measure range of motion

Programming Strategy

Weekly Structure (Undulating)

4-Week Mesocycle

Weeks 1-3: progressive overload (+2.5-5%/week). Week 4: deload (40-50% volume reduction, intensity maintained). Re-measure load-velocity profiles with PoinT GO before and after each mesocycle.

Data-Driven Decisions

Key Metrics

1. Daily CMJ height: 3 pre-training attempts. Below -5% baseline → reduce volume. Claudino et al. (2017): most reliable fatigue indicator.
2. Load-velocity profile: Re-test every 2-3 weeks. Slope changes guide training direction.
3. Velocity loss: 15-20% appropriate; 25%+ excessive fatigue.
4. Asymmetry: Above 10% → prioritize weaker side.

Weekly Review

In PoinT GO app: ① Weekly MCV trends ② Velocity-load graph slope ③ CMJ daily trends ④ Next week adjustments.

Coaching Insights

• Less is more: Three quality sets beat six fatigued sets.
• Limit cues to three: Focus on 1-2 most important cues per exercise.
• Sleep and nutrition non-negotiable: 1.6-2.2g protein/kg, 7-9 hours sleep. Walker (2017): <6 hours reduces strength 30%.
• Use data AND eyes: Numbers are tools—athlete feedback, movement quality, and energy levels matter too.
• Long-term perspective: Elite takes 8-12+ years. Focus on session quality.