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adidas

HYPERBOOST EDGE

Max CushionReleased 2026-03-17Global

HYPERBOOST EDGE is a lightweight super trainer with a 45mm heel stack. It features Hyperboost Pro foam, a LIGHTTRAXION outsole, and a 255g lightweight design, built without relying on plates or hard reinforcements.

Intended uses:
Daily, Jog, Long run, Recovery
1 source · checked 2026-06-20

Specs

Among 865 listed shoes, this is a lighter / high-stack Max Cushion

Weight
255g
Of 811 known values: 268 lower, 14 equal, 529 higher. The marker uses the midpoint of equal values.
lighterLower 34.8%, including ties / average -12g
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)
45 / 39mm
Of 694 known values: 670 lower, 8 equal, 16 higher. The marker uses the midpoint of equal values.
higherUpper 3.5%, including ties / average +10.3mm
Carbon plate
No
83% of 786 known models have no carbon plates
Midsole
Hyperboost Pro
Outsole
LIGHTTRAXION
Reference price
$200
US price
Weight measurement and plate details
Weight note
Adidas Japan official product page and Runners Pulse list 255g for 27cm single shoe.
Plate note
Official product page lists Hyperboost Pro foam and LIGHTTRAXION outsole; checked sources do not state a carbon plate.

Related video

Shoe overview by Running Warehouse.

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 255g·registered average 267g (811 shoes)

97g375g

Drop

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

0mm13.8mm

Stack height

This shoe 45mm·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.