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Merrell

MTL Adapt Matryx

TrailReleased 2025-03-29JP

The MTL Adapt Matryx is Merrell Test Lab.'s flagship long-distance trail model. It combines a MATRYX® x TPU reinforced upper with nitrogen-infused supercritical foam FLOATPRO+™, FLEXCONNECT™, and Vibram MEGAGRIP x Vibram TRACTION LUG.

Intended uses:
Trail
3 sources · checked 2026-06-19

Specs

Among 865 listed shoes, this is a heavier Trail

Weight
290g
Of 811 known values: 548 lower, 16 equal, 247 higher. The marker uses the midpoint of equal values.
heavierUpper 32.4%, including ties / average +23g
Drop
6mm
Of 815 known values: 221 lower, 156 equal, 438 higher. The marker uses the midpoint of equal values.
Standard36.7th percentile (tie midpoint) / average -0.8mm
Stack height (heel/forefoot)
36 / 30mm
Of 694 known values: 365 lower, 43 equal, 286 higher. The marker uses the midpoint of equal values.
Standard55.7th percentile (tie midpoint) / average +1.3mm
Carbon plate
No
83% of 786 known models have no carbon plates
Midsole
FloatPro+ / FLEXconnect
Outsole
Vibram Megagrip / Vibram Traction Lug
Reference price
$190
US price
Weight measurement and plate details
Weight note
JP official product page and JP press release list approx. 290g for men's 27.0cm, one shoe.
Plate note
No carbon plate stated in checked sources. JP sources describe FLEXCONNECT and FloatPro+ but do not state a 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 (865 shoes)

Position map

This shoeregistered average

Weight x stack height

registered average: 265g / 34.7mm (686 shoes)

The scatter plot includes only shoes with both weight and stack height registered.

Spec distributions

This shoeregistered average

Weight

This shoe 290g·registered average 267g (811 shoes)

97g375g

Drop

This shoe 6mm·registered average 6.8mm (815 shoes)

0mm13.8mm

Stack height

This shoe 36mm·registered average 34.7mm (694 shoes)

10.5mm58mm

Items with missing numeric values are excluded. Sample sizes and measurement conditions vary between models; this distribution is not a performance ranking.