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Evans Velo Zone Wave™ Diagnostic Engine
Inside the app, you can:
• Log structured wave sequences
• Track retention drop-off across phases
• Measure re-attainment under load reduction
• Visualize decay patterns across sessions
• Generate session-ready PDF diagnostic reports
The Wave transforms velocity and output data into clear, actionable retention analysis.
Certified practitioners unlock advanced Wave diagnostics and reporting.
Zone Classification
Automatically classify output into performance zones based on retention, not just peak values.
Drop-off Diagnostics
Identify where and why power breaks down across sets–so you can adjust before performance drops.
Coach Reports
Instant, session-ready reports that show exactly what changed–and what to adjust next.
Built for Coaches Who
• Train speed-power athletes
• Use Keiser, Jump testing, or velocity-based tools
• See athletes peak, but fail to retain output
• Are tired of guessing when to progress, hold, or regress
• Rely on peak output, but lack retention visibility into retention
Retainable Power Index (RPI™)
The standard for measuring repeatable power.
RPI measures how much output is maintained across sets–not just how high it peaks.
It's the foundation of every:
• Score
• Insight
• Recommendation inside the EVZ system
If output doesn't hold, it doesn't transfer.
What You See After a Session
Session Quality: 82 (Strong Retention)
RPI: 91%
EVZ Insight: "Moderate drop-off – fatigue beginning to impact output."
Every session is translated into:
• A clear score
• A retention metric (RPI)
• A direct performance insight
No spreadsheets. No guesswork.
This Replaces
• Manual spreadsheets and post-session guesswork
• Chasing peak output without knowing what's repeatable
• Reactive programming based on feel instead of evidence
• Training decisions without clear performance signals
Who This Is Not For
• General fitness tracking or casual training
This is built for coaches and athletes focused on: measurable, repeatable performance output
What This Enables
• Progress athletes with confidence
• Identify fatigue before performance drops
• Adjust training based on measurable output–not feel
• Build training around what actually transfers
Join the Early Access List
• Priority onboarding
• Direct input into system development
• Early access pricing