Documentation Index
Fetch the complete documentation index at: https://docs.uplift.ai/llms.txt
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Technical Details
- Variable Type: Discrete Metric
- Data Type: Float
- Units: % of height
- Column Name:
stride_length - Aggregation: mean
- Precision: 0
- Calculation: Distance between rear foot at max knee raise and front foot at foot contact, normalized by height
- Typical Range: 81 – 105 %
- Optimal Direction: Higher is better
Description
Stride length measures the length of the stride as a percentage of the athlete’s height. It is calculated as the distance between the rear foot position at max knee raise and the front foot position at foot contact, normalized by the athlete’s height.Normative Ranges
Percentile distributions by competition level from the 2026 Q1 dataset; the optimal range spans the 75th–90th percentiles.| Population | Optimal Range (75th–90th) | 10th | 25th | 50th | 75th | 90th |
|---|---|---|---|---|---|---|
| Youth | 87 – 96 % | 69 | 74 | 80 | 87 | 96 |
| High School | 104 – 108 % | 75 | 82 | 92 | 104 | 108 |
| College | 106 – 112 % | 88 | 93 | 101 | 106 | 112 |
| Professional | 121 – 135 % | 85 | 94 | 110 | 121 | 135 |
| Broad (All Levels) | 105 – 113 % | 73 | 81 | 92 | 105 | 113 |
Use Cases
- Stride analysis
- Mechanics evaluation