Wallest One
Retail priceNittaku
₩29,000
₩40,00028% below list price

Retail price was recorded at collection time and may differ at checkout.

🔗View on the brand’s official page→

Coupang delivers inside Korea only, so we link to the brand’s own page instead. The price above is the Korean retail price.

Nittaku

Wallest One

The same topsheet as Wallest made as a single-ply (OX) rubber with no sponge. Suits attacking players adding variation during forehand-backhand transitions.

Performance

Nittaku official (scale maximum not published)

The manufacturer does not publish a maximum for these figures. This chart therefore uses the actual range of its own published values across the same family as the ends of each axis. It shows relative position within that family, not an absolute score, and because the origin is not zero the differences look larger than they are. See the manufacturer figures below for the exact numbers.

5.755.2513.5SpinSpeedVariation

About this product

The same rubber sheet as Wallest, made without sponge (OX). Described as suited to an attacking player mixing in variation from both close-to-table and back-from-table positions.

Dropping the sponge lets the pips flex with nothing to cushion them, widening variation at the cost of predictability for whoever is returning it — the same principle as Butterfly Paint OX above. Where Wallest (sponge-backed) is the stable defensive option, One strips that stability away in favour of disruption.

What the numbers say

Long pips, No sponge (single sheet) sponge. Its variation of 9.3 ranks 4 of 9 rubbers, mid-range. Its speed, by contrast, is 3.2 — among the lowest. Based on the manufacturer’s published figures.

This paragraph is not a copied review — it is generated from the figures and rankings collected on this site, and changes when they do.

Full specifications

Surface typeLong pips
Sponge hardnessNo sponge (single sheet)
Thickness optionsOX (no sponge)
ColoursRed / Black
Made inJapan

Blades that pair with this rubber

Real player setups and level-based recommendations come first.