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adidas

Supernova Ease

Daily TrainerRelease date 2025US

Supernova Ease is a daily road-running shoe for building a routine, preparing for a first race and covering short to mid-distance runs. Full-length DREAMSTRIKE cushioning pairs with a breathable mesh upper and textile lining. Its regular fit adjusts with laces, while a rubber-rods outsole completes the construction, with a stable feel emphasized for everyday training.

Intended uses:
Beginner, Daily, Jog

Specs

Weight
-
Not registered
Drop
9mm
Of 874 known values: 696 lower, 17 equal, 161 higher. The marker uses the midpoint of equal values.
higherUpper 20.4%, including ties / average +2.2mm
Stack (heel/forefoot)
34 / 25mm
Of 729 known values: 296 lower, 25 equal, 408 higher. The marker uses the midpoint of equal values.
Standard42.3th percentile (tie midpoint) / average -0.6mm
Carbon plate
No
83% of 816 known models have no carbon plates
Midsole
DREAMSTRIKE
Outsole
rubber rods
Reference price
$100
US price
Weight measurement and plate details
Weight note
Weight is not stated on the checked men's official product page.
Plate note
The exact adidas US JH8559 details fully specify a mesh upper, DREAMSTRIKE midsole, textile lining, and rubber-rods outsole. With no carbon structure stated in this complete exact official construction, the model is classified as not carbon-plated.

Prices and release dates by market

1 market is registered. Values are shown as published for each market: no currency conversion and no guessed days or months. Reference prices are not current shop prices.

Reference prices and release dates by market
MarketReference priceRelease
United StatesUS
$100Shown aboveBefore tax
2025Shown abovemonth and day not confirmed

Where to buy

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Comparison: All data (938 shoes)

Spec distributions

There is not enough data to show the scatter plot for this comparison.

This shoeregistered average

Drop

This shoe 9mmregistered average 6.8mm (874 shoes)

0mm13.8mm

Stack height

This shoe 34mmregistered average 34.6mm (729 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.