MIZUNO NEO DAICHI 10
Mizuno Neo Daichi 10 is an all-around trail shoe for routes from faster road sections to technical paths. Its Mizuno Enerzy NXT sole improves cushioning and energy return over earlier Daichi models, while Smooth Speed Assist supports efficient movement. Vibram Megagrip adds wet-surface traction, a forefoot Rock Plate protects against stones, and a durable woven-mesh upper supports short- to mid-distance trail runs.
- Intended uses:
- Trail
Specs
- Weight
- 290g
- Of 856 known values: 571 lower, 18 equal, 267 higher. The marker uses the midpoint of equal values.
- heavierUpper 33.3%, including ties / average +23g
- Drop
- 6mm
- Of 857 known values: 233 lower, 166 equal, 458 higher. The marker uses the midpoint of equal values.
- Standard36.9th percentile (tie midpoint) / average -0.8mm
- Stack (heel/forefoot)
- -
- Not registered
- Carbon plate
- -
- Not confirmed
- Midsole
- MIZUNO ENERZY NXT
- Outsole
- Vibram Megagrip
- Reference price
- -
- Not registered
Weight measurement and plate details
- Weight note
- Mizuno Singapore's exact men's product page lists 290g. The sample size is not stated.
- Plate note
- The exact official page identifies a forefoot Rock Plate but does not state its material, so carbon classification remains unresolved.
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 |
|---|---|---|
| SingaporeSG | 199 SGD | 2026Shown above |
| South KoreaKR | 169,000 KRW | Not registered |
Compare within the database
See where these specs sit in the overall distribution. You can also compare within the same category.
Spec distributions
There is not enough data to show the scatter plot for this comparison.
Weight
This shoe 290gregistered average 267g (856 shoes)
Drop
This shoe 6mmregistered average 6.8mm (857 shoes)
Items with missing numeric values are excluded. Sample sizes and measurement conditions vary between models; this distribution is not a performance ranking.