MIZUNO NEO VISTA
Mizuno Neo Vista is a high-stack super trainer for daily jogs, long efforts, and faster sessions. Full-length Mizuno Enerzy NXT foam works with a glass-fiber-reinforced nylon Wave Plate and broader-contact Smooth Speed Assist geometry tuned for training rather than an aggressive race stance. A bootie-style knit upper supplies a close, seamless fit, while X10 carbon rubber adds durable road traction.
- Intended uses:
- Long run
Specs
Among 865 listed shoes, this is a high-stack Speed Trainer
- Weight
- 265g
- Of 811 known values: 335 lower, 18 equal, 458 higher. The marker uses the midpoint of equal values.
- Standard42.4th percentile (tie midpoint) / average -2g
- Drop
- 8mm
- Of 815 known values: 409 lower, 237 equal, 169 higher. The marker uses the midpoint of equal values.
- Standard64.7th percentile (tie midpoint) / average +1.2mm
- Stack height (heel/forefoot)
- 44.5 / 36.5mm
- Of 694 known values: 667 lower, 3 equal, 24 higher. The marker uses the midpoint of equal values.
- higherUpper 3.9%, including ties / average +9.8mm
- Carbon plate
- No
- 83% of 786 known models have no carbon plates
- Midsole
- MIZUNO ENERZY NXT
- Outsole
- X10
- Reference price
- $180
- US price
Weight measurement and plate details
- Weight note
- Approx. 265g at 27.0cm per shoe from the Mizuno official news release.
- Plate note
- Mizuno Japan's exact product page identifies a glass-fiber-reinforced nylon Wave Plate placed between the two midsole layers. It is a named non-carbon plate structure.
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
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
Weight
This shoe 265g·registered average 267g (811 shoes)
Drop
This shoe 8mm·registered average 6.8mm (815 shoes)
Stack height
This shoe 44.5mm·registered average 34.7mm (694 shoes)
Items with missing numeric values are excluded. Sample sizes and measurement conditions vary between models; this distribution is not a performance ranking.