S/LAB PULSAR 4
S/LAB PULSAR 4 is the fourth generation trail race shoe in the S/LAB PULSAR series. It features a dual-layer Energy Foam+ and Energy Foam midsole, Matryx® upper, All Terrain Contagrip®, EndoFit™ and Quicklace™.
- Intended uses:
- Trail, Race
Specs
Among 869 listed shoes, this is a lighter Trail
- Weight
- 250g
- Of 814 known values: 234 lower, 20 equal, 560 higher. The marker uses the midpoint of equal values.
- lighterLower 31.2%, including ties / average -17g
- 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)
- 34 / 28mm
- Of 694 known values: 276 lower, 22 equal, 396 higher. The marker uses the midpoint of equal values.
- Standard41.4th percentile (tie midpoint) / average -0.7mm
- Carbon plate
- No
- 83% of 787 known models have no carbon plates
- Midsole
- Energy Foam+ / Energy Foam
- Outsole
- All Terrain Contagrip
- Reference price
- $220
- US price
Weight measurement and plate details
- Weight note
- Salomon Japan official product page and Ameasports Japan press release list 250g; press specifies one shoe at 27cm.
- Plate note
- Checked official sources do not state a carbon plate. Japanese press describes a spoon-shaped unit inspired by road-running shoes and compares the propulsion feel to a carbon-plate insert, but does not state that a carbon plate is installed.
Related video
Official video from Salomon TV.
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 250g·registered average 267g (814 shoes)
Drop
This shoe 6mm·registered average 6.8mm (818 shoes)
Stack height
This shoe 34mm·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.