S/LAB Ultra Glide
The S/LAB Ultra Glide is an S/LAB shoe for long-distance trail races. Designed with the Relieve Sphere outsole, optiFOAM+ and optiFOAM dual-layer midsole, and elastic upper to reduce stress during long rides.
- Intended uses:
- Trail, Race
Specs
- Weight
- 285g
- Of 912 known values: 548 lower, 17 equal, 347 higher. The marker uses the midpoint of equal values.
- Standard61th percentile (tie midpoint) / average +17g
- Drop
- 6mm
- Of 921 known values: 262 lower, 171 equal, 488 higher. The marker uses the midpoint of equal values.
- Standard37.7th percentile (tie midpoint) / average -0.7mm
- Stack (heel/forefoot)
- 41 / 35mm
- Of 764 known values: 680 lower, 21 equal, 63 higher. The marker uses the midpoint of equal values.
- higherUpper 11%, including ties / average +6.7mm
- Carbon plate
- No
- 83% of 842 known models have no carbon plates
- Midsole
- optiFOAM+ / optiFOAM
- Outsole
- Relieve Sphere
- Reference price
- $250
- US price
Weight measurement and plate details
- Weight note
- Published sample weight; exact sample size remains unconfirmed.
- Plate note
- No carbon plate stated
Prices and release dates by market
2 markets are registered. Values are shown as published for each market: no currency conversion and no guessed days or months. Reference prices are not current shop prices.
| Market | Reference price | Release |
|---|---|---|
| United StatesUS | $250Shown above | Not registered |
| JapanJP | ¥26,400 | 2025-02-22Shown above |
Compare within the database
See where these specs sit in the overall distribution. You can also compare within the same category.
Position map
Weight x stack height
registered average: 266g / 34.4mm (747 shoes)
The scatter plot includes only shoes with both weight and stack height registered.
Spec distributions
Weight
This shoe 285gregistered average 268g (912 shoes)
Drop
This shoe 6mmregistered average 6.7mm (921 shoes)
Stack height
This shoe 41mmregistered average 34.3mm (764 shoes)
Items with missing numeric values are excluded. Sample sizes and measurement conditions vary between models; this distribution is not a performance ranking.