SUPERBLAST
SUPERBLAST is a high-cushion training shoe. It uses a midsole that combines FF BLAST TURBO and FF BLAST PLUS, and is positioned for a range of runs from daily training to long runs.
- Intended uses:
- Long run
Specs
- Weight
- 242g
- Of 908 known values: 218 lower, 4 equal, 686 higher. The marker uses the midpoint of equal values.
- lighterLower 24.4%, including ties / average -26g
- Drop
- 8mm
- Of 914 known values: 461 lower, 261 equal, 192 higher. The marker uses the midpoint of equal values.
- Standard64.7th percentile (tie midpoint) / average +1.2mm
- Stack (heel/forefoot)
- 45.5 / 37.5mm
- Of 759 known values: 743 lower, 1 equal, 15 higher. The marker uses the midpoint of equal values.
- higherUpper 2.1%, including ties / average +11.1mm
- Carbon plate
- No
- 83% of 840 known models have no carbon plates
- Midsole
- FF BLAST TURBO / FF BLAST PLUS
- Outsole
- -
- Not registered
- Reference price
- -
- Not registered
Weight measurement and plate details
- Weight note
- US9 sample from ASICS Global official press release.
- Plate note
- No carbon plate stated or known for this model.
Prices and release dates by market
2 markets are 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.
| Market | Reference price | Release |
|---|---|---|
| JapanJP | ¥22,000 | 2023-02-22Shown above |
| CanadaCA | 280 CAD | Not registered |
Compare within the database
See where these specs sit in the overall distribution. You can also compare within the same category.
Position map
Weight x stack height
registered average: 266g / 34.4mm (744 shoes)
The scatter plot includes only shoes with both weight and stack height registered.
Spec distributions
Weight
This shoe 242gregistered average 268g (908 shoes)
Drop
This shoe 8mmregistered average 6.8mm (914 shoes)
Stack height
This shoe 45.5mmregistered average 34.4mm (759 shoes)
Items with missing numeric values are excluded. Sample sizes and measurement conditions vary between models; this distribution is not a performance ranking.