Altamesa 500 RD
Altamesa 500 RD adapts trail-focused Altamesa geometry into a plate-free, high-cushion daily road trainer. A lightweight DREAM foam platform and broad base pair soft rebound with inherent stability, while a flat-lug SurfaceCTRL outsole is tuned for pavement. The breathable engineered-mesh upper and gusseted tongue help limit foot movement, suiting everyday mileage and paved training for trail runners.
- Intended uses:
- Daily
Specs
Among 869 listed shoes, this is a heavier Daily Trainer
- Weight
- 295g
- Of 814 known values: 591 lower, 19 equal, 204 higher. The marker uses the midpoint of equal values.
- heavierUpper 27.4%, including ties / average +28g
- Drop
- 6mm
- Of 818 known values: 221 lower, 157 equal, 440 higher. The marker uses the midpoint of equal values.
- Standard36.6th percentile (tie midpoint) / average -0.8mm
- Stack height (heel/forefoot)
- 35 / 29mm
- Of 694 known values: 309 lower, 45 equal, 340 higher. The marker uses the midpoint of equal values.
- Standard47.8th percentile (tie midpoint) / average +0.3mm
- Carbon plate
- No
- 83% of 787 known models have no carbon plates
- Midsole
- DREAM
- Outsole
- SurfaceCTRL
- Reference price
- -
- Not registered
Weight measurement and plate details
- Weight note
- Goldwin official JP product evidence lists approximately 295 g for one shoe at 9 inches.
- Plate note
- Goldwin official ALTAMESA RD collection context describes the RD line as plate-free.
Compare within the database
See where these specs sit in the overall distribution. You can also compare within the same category.
Comparison: All data (869 shoes)
Position map
Weight x stack height
registered average: 266g / 34.7mm (686 shoes)
The scatter plot includes only shoes with both weight and stack height registered.
Spec distributions
Weight
This shoe 295g·registered average 267g (814 shoes)
Drop
This shoe 6mm·registered average 6.8mm (818 shoes)
Stack height
This shoe 35mm·registered average 34.7mm (694 shoes)
Items with missing numeric values are excluded. Sample sizes and measurement conditions vary between models; this distribution is not a performance ranking.