Validates jump metrics against physiological norms. Use when analyzing CMJ or drop jump results, discussing RSI values, jump heights, ground contact times, or when metrics seem unusual.
name: biomechanics-validation
description: Validates jump metrics against physiological norms. Use when analyzing CMJ or drop jump results, discussing RSI values, jump heights, ground contact times, or when metrics seem unusual.
Biomechanics Validation
When reviewing jump metrics, validate against these norms:
RSI (Reactive Strength Index)
Population
RSI Range
Recreational
0.5-1.5
Trained
1.5-2.5
Elite
2.5-3.5
Flag values > 3.5 as potentially erroneous (measurement or technique issue).
CMJ Jump Height
Population
Male (cm)
Female (cm)
Recreational
25-40
20-35
Trained
40-55
35-45
Elite
55-70+
45-55+
Ground Contact Time (Drop Jump)
Range
Interpretation
< 100 ms
Likely sensor/detection error
150-250 ms
Optimal reactive strength
250-350 ms
Acceptable, technique improvement possible
> 400 ms
Technique issue or fatigue
Flight Time
Jump Type
Typical Range
Flag If
CMJ
400-600 ms
> 800 ms
Drop Jump
350-550 ms
> 700 ms
Triple Extension (CMJ)
All three joints should approach full extension at takeoff:
Hip: > 160° (optimal: 170-180°)
Knee: > 160° (optimal: 170-180°)
Ankle: > 130° (plantar flexion)
Countermovement Depth (CMJ)
Depth
Interpretation
< 20 cm
Shallow - may limit power generation
20-40 cm
Optimal range
> 50 cm
Deep - may indicate technique issue
Validation Response Format
When validating metrics, provide:
Status: Normal / Warning / Error
Value: The actual metric value
Expected Range: Population-appropriate range
Interpretation: Coaching-friendly explanation
Recommendation: If outside norms, suggest next steps
Example Validation
RSI: 2.8
Status: Normal (Elite range)
Expected: 2.5-3.5 for elite athletes
Interpretation: Excellent reactive strength capability
Ground Contact Time: 85 ms
Status: Warning
Expected: 150-250 ms optimal
Interpretation: Unusually short - likely detection error
Recommendation: Review debug video for takeoff/landing detection accuracy