Product details
The M-Wave Active City Helmet is a versatile helmet designed for both adults and teenagers. With an appealing design in the color group of white, this helmet not only offers safety but also style for the urban cyclist. The helmet is available in size M, suitable for head circumferences of 53 to 57 cm, and can be individually adjusted thanks to the integrated ring system. This ensures a comfortable and secure fit, which is essential for longer rides. The Active City Helmet is ideal for daily use in the city and provides protection in various weather conditions. The helmet's features are tailored to the needs of cyclists who prioritize safety and comfort. With its robust construction and thoughtful design, the M-Wave Active Helmet is a reliable choice for anyone active in road traffic.
Colour | White |
Bike helmet type | City helmet |
Bike helmet size | M |
Head circumference | 53 - 57 cm |
Helmet features | Size adjustable |
Item number | 14518275 |
Manufacturer | M-Wave |
Category | Bike helmets |
Release date | 23.12.2020 |
Colour | White |
Exact colour description | Black, White |
Target group | Men, Women |
Age group | Adults |
Bike helmet type | City helmet |
Bike helmet size | M |
Head circumference | 53 - 57 cm |
Helmet features | Size adjustable |
Country of origin | China |
Length | 35.60 cm |
Width | 24.70 cm |
Height | 15.10 cm |
Weight | 435 g |
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Reviews & Ratings
Warranty score
How often does a product of this brand in the «Bike helmets» category have a defect within the first 24 months?
Source: Digitec Galaxus- M-WaveNot enough data
- 1.Btwin0 %
- 1.Hudora0 %
- 1.O Neal0 %
- 1.Oxelo0 %
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- M-WaveNot enough data
- 1.Abus0 days
- 1.Alpina0 days
- 1.Micro0 days
- 1.Unit10 days
Return rate
How often is a product of this brand in the «Bike helmets» category returned?
Source: Digitec Galaxus- M-WaveNot enough data
- 1.Dunlop3.5 %
- 2.Mondo4.6 %
- 3.Fischer5.8 %
- 4.Micro6.6 %