S/LAB PHANTASM 3 SC
The S/LAB PHANTASM 3 SC is a lightweight unisex road racer built for distance racing on asphalt. Its optiFOAM+ midsole blends PEBA and EVA around a full-length energyBLADE Carbon plate, while the Engineered Mesh upper provides targeted support and breathability. Road contaGRIP uses flat, wide lugs for grip and durability on hard surfaces, and the Regular-width platform keeps the model focused on road race use.
- Intended uses:
- Race, Marathon
Specs
Among 869 listed shoes, this is a lighter / high-stack Racing
- Weight
- 175g
- Of 814 known values: 20 lower, 3 equal, 791 higher. The marker uses the midpoint of equal values.
- lighterLower 2.8%, including ties / average -92g
- 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)
- 39 / 33mm
- Of 694 known values: 515 lower, 32 equal, 147 higher. The marker uses the midpoint of equal values.
- higherUpper 25.8%, including ties / average +4.3mm
- Carbon plate
- Yes
- 17% of 787 known models have carbon plates
- Midsole
- optiFOAM+
- Outsole
- Road Contagrip
- Reference price
- $250
- US price
Weight measurement and plate details
- Weight note
- Per-unit weight shown on official Salomon Canada and Salomon Australia product pages; the US page displays the rounded value as 6 oz.
- Plate note
- Uses a full-length energyBLADE Carbon plate.
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 175g·registered average 267g (814 shoes)
Drop
This shoe 6mm·registered average 6.8mm (818 shoes)
Stack height
This shoe 39mm·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.