MTL Long Sky
MTL Long Sky was developed with athletes for long-distance trail running. A reinforced mesh upper and internal bootie secure the foot, while an EVA midsole combines cushioning with a firmer medial post for arch support. Split forefoot and heel sections of Vibram Megagrip rubber balance wet-ground traction with flexibility, and a TPU heel counter supports stable landings.
- Intended uses:
- Trail, Long run
Specs
Among 887 listed shoes, this is a heavier / lower-stack Trail
- Weight
- 290g
- Of 827 known values: 551 lower, 18 equal, 258 higher. The marker uses the midpoint of equal values.
- heavierUpper 33.4%, including ties / average +23g
- Drop
- 8mm
- Of 831 known values: 415 lower, 245 equal, 171 higher. The marker uses the midpoint of equal values.
- Standard64.7th percentile (tie midpoint) / average +1.2mm
- Stack height (heel/forefoot)
- 27.5 / 19.5mm
- Of 696 known values: 74 lower, 1 equal, 621 higher. The marker uses the midpoint of equal values.
- lowerLower 10.8%, including ties / average -7.2mm
- Carbon plate
- -
- Not confirmed
- Midsole
- EVA / medial post
- Outsole
- Vibram Megagrip
- Reference price
- -
- Not registered
Weight measurement and plate details
- Weight note
- Approximately 290 g per men's shoe in the official Japanese launch release; sample size is not stated.
- Plate note
- The release describes an EVA midsole and medial post. Plate presence and material have not been independently established.
Compare within the database
See where these specs sit in the overall distribution. You can also compare within the same category.
Comparison: All data (887 shoes)
Position map
Weight x stack height
registered average: 266g / 34.7mm (689 shoes)
The scatter plot includes only shoes with both weight and stack height registered.
Spec distributions
Weight
This shoe 290g·registered average 267g (827 shoes)
Drop
This shoe 8mm·registered average 6.8mm (831 shoes)
Stack height
This shoe 27.5mm·registered average 34.7mm (696 shoes)
Items with missing numeric values are excluded. Sample sizes and measurement conditions vary between models; this distribution is not a performance ranking.