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Running Shoe DB
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HOKA

Mach 4

Speed TrainerReleased 2021-03-05JP

Mach 4 is a redesigned road trainer for runners seeking speed in everyday training. Its PROFLY construction combines a soft upper foam with responsive rubberized EVA underneath, while Meta-Rocker geometry supports smooth transitions. An extended heel guides landing, and breathable engineered mesh pairs with memory-foam ankle padding shaped to reduce pressure around the Achilles.

Intended uses:
Daily
2 sources · checked 2026-09-06

Specs

Among 865 listed shoes, this is a lighter / lower-stack Speed Trainer

Weight
232g
Of 811 known values: 160 lower, 5 equal, 646 higher. The marker uses the midpoint of equal values.
lighterLower 20.3%, including ties / average -35g
Drop
5mm
Of 815 known values: 121 lower, 98 equal, 596 higher. The marker uses the midpoint of equal values.
lowerLower 26.9%, including ties / average -1.8mm
Stack height (heel/forefoot)
29 / 24mm
Of 694 known values: 97 lower, 23 equal, 574 higher. The marker uses the midpoint of equal values.
lowerLower 17.3%, including ties / average -5.7mm
Carbon plate
No
83% of 786 known models have no carbon plates
Midsole
PROFLY
Outsole
rubberized EVA
Reference price
$130
US price
Weight measurement and plate details
Weight note
Deckers Japan official PR TIMES release lists 232g for a men's 27.0cm sample.
Plate note
No carbon plate stated or known for this model.

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 232g·registered average 267g (811 shoes)

97g375g

Drop

This shoe 5mm·registered average 6.8mm (815 shoes)

0mm13.8mm

Stack height

This shoe 29mm·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.