
A measure of how much output an athlete can maintain across sets relative to their peak output.
RPI™ shifts evaluation from:
• How high performance peaks
to:
• How well performance holds under repeated exposure
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If output cannot be retained, it cannot be relied on.
Peak output reflects potential.
RPI reflects usable performance.
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Most performance systems emphasize:
• Peak output
• Max velocity
• Single-rep performance
But training and sport demand:
• Repeatability
• Stability under fatigue
• Consistent output across efforts
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RPI answers:
• “Can this output be repeated?”
• “Will this performance hold under load?”
• “Is this level of output actually usable?”
RPI helps quantify output behavior.
To determine when changes are needed:
👉 Drop-Off Threshold Rule™
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RPI evaluates how output is retained across multiple sets, using the first set as a reference point.
RPI is calculated by comparing average output across sets to peak output, expressed as a percentage.
Each subsequent effort is assessed relative to that baseline, and the system determines:
• How much output is maintained
• How quickly it declines
• How consistent performance remains
👉 The result is a single value (RPI %) that reflects:
• Overall retention of output across the session
Want to measure this in your own training?
→ RPI Output Scoring System ($19)
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RPI can be assessed using different methods depending on available tools and training context:
• Direct Measurement (Velocity / Power)
– Uses objective output data
– Most precise representation of output retention
• No-Tech Scoring (0–1–2 System)
– 2 = Full output maintained
– 1 = Slight degradation
– 0 = Clear breakdown
*Provides a practical estimate of retention without technology
The method used does not change the principle:
• RPI measures how well output is reproduced across efforts
Interpretation thresholds may vary slightly depending on movement sensitivity and measurement precision.
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RPI provides a performance signal, not just a number.
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• Output is stable across sets
• Load is appropriate
• Performance is transferable
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• Output is beginning to degrade
• Fatigue is accumulating
• Monitoring is required
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• Output is not sustainable
• Fatigue is limiting performance
• Adjustment is required
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RPI is evaluated alongside how output changes across sets.
The system identifies patterns such as:
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• Sharp decline immediately after the first set
Indicates:
• Excessive initial intensity
• Insufficient readiness
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• Progressive reduction across sets
Indicates:
• Fatigue accumulation
• Volume/load imbalance
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• Fluctuating performance across sets
Indicates:
• Instability or control limitations
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• Minimal variation across sets
Indicates:
• Strong repeatability and control
To apply this within training:
👉 Output Retention Programming (ORP™)
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RPI drives clear training decisions:
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👉 Progress
• Increase load or intensity exposure
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👉 Hold
• Maintain current structure
• Monitor trend
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👉 Adjust
• Reduce load
• Modify structure
• Improve recovery strategy
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Single session = snapshot
Multiple sessions = trend intelligence
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• Adaptation is occurring
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• Current load is appropriate
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• Fatigue or overload accumulating
To understand how retention evolves over time:
👉 Power Retention Model
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• Session Quality Score
• Zone Classification
• Drop-off Diagnostics
• Coach Reports
• Certified Recommendations
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• Peak-only evaluation
• Subjective fatigue assessment
• Guess-based progression
• Spreadsheet-driven analysis
Key EVZ Definitions:
• Retention Profile: pattern of how output is maintained, declines, or stabilizes across exposures
• Output Decay Rate: rate at which output declines across repeated exposures
• Output Stability: consistency of output across repeated exposures with minimal fluctuation
• Output Variability: degree of fluctuation in output across repeated exposures
👉 See full EVZ Definitions Framework
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Performance is not defined by what you can produce once—
but by what you can reproduce consistently.
RPI measures how much output an athlete can maintain across sets.
High RPI = stable, repeatable performance
Low RPI = early fatigue and drop-off
It tells you whether performance will hold—or break down.
RPI is context-dependent — the sensitivity of output loss varies by movement and environment.
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RPI is derived from structured retention analysis across sets and sessions, using proprietary logic to evaluate:
• Retention levels
• Performance consistency
• Fatigue patterns