Chaya Karma Grindplate, black, EU 40-44 fit. Shari Plates
More than 10 pieces in stock at supplier
Colour2
Product details
The Chaya Karma Grind Block Black is the only asymmetrical grind block for roller skates on the market. This feature, in addition to the backslide plates, creates two contact points when grinding or stalling, opening up a whole new world for grinding trick enthusiasts. The black-colored block comes with a material that perfectly matches the Chaya Shari plates as well as the Chaya Shiva and Ophira plates when the special adapter is used. The block is made of fiberglass-reinforced, high-strength, and low-friction nylon. The wide, smooth groove is ideal for all types of figures. The grind block is available in three different sizes and can be ordered in white or black.
Rollerblade accessory type | Inline Skates Frames |
Item number | 33981109 |
Manufacturer | Chaya |
Category | Rollerblade accessories |
Manufacturer no. | 810615 |
Release date | 17.5.2023 |
Colour | Black |
Exact colour description | Black |
Material group | Plastic |
Material | Glass fibre reinforced, high-strength and lubricious nylon rapide |
Rollerblade accessory type | Inline Skates Frames |
Sport | Inline skating |
Size | M |
Country of origin | France |
CO₂-Emission | |
Climate contribution |
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Reviews & Ratings
Warranty score
How often does a product of this brand in the «Rollerblade accessories» category have a defect within the first 24 months?
Source: Digitec Galaxus- ChayaNot enough data
- 1.K20 %
- 2.Rollerblade0.1 %
Warranty case duration
How many working days on average does it take to process a warranty claim from when it arrives at the service centre until it’s back with the customer?
Source: Digitec Galaxus- ChayaNot enough data
- K2Not enough data
- RollerbladeNot enough data
Unfortunately, we don't have enough data for this category yet.
Return rate
How often is a product of this brand in the «Rollerblade accessories» category returned?
Source: Digitec Galaxus- ChayaNot enough data
- 1.Rollerblade1.2 %
- K2Not enough data

