M-Wave launch
58 - 61 cm10 pieces in stock at supplier
Size2
Product details
The M-Wave LAUNCH helmet is a versatile helmet designed for various activities such as freestyle, skating, and BMX. With a glossy white design, this helmet not only offers an appealing look but also high functionality. It is designed for adults and is suitable for both men and women. The helmet features a practical ring system that allows for individual adjustment to head circumference, providing additional comfort and safety. The LAUNCH helmet is ideal for anyone who enjoys outdoor sports while valuing protection and style.
- Versatile for freestyle, skating, and BMX
- Size-adjustable ring system for optimal fit
- Glossy design in classic white.
Colour | White |
Bike helmet type | BMX helmet, City helmet |
Bike helmet size | L |
Head circumference | 58 - 61 cm |
Helmet features | Size adjustable |
Item number | 14518282 |
Manufacturer | M-Wave |
Category | Bike helmets |
Release date | 23.12.2020 |
Colour | White |
Exact colour description | White |
Target group | Men, Women |
Age group | Adults |
Bike helmet type | BMX helmet, City helmet |
Bike helmet size | L |
Head circumference | 58 - 61 cm |
Helmet features | Size adjustable |
Country of origin | China |
CO₂ emissions | 2.3 kg |
Climate contribution | CHF 0.11 |
Length | 36.60 cm |
Width | 32.90 cm |
Height | 18.40 cm |
Weight | 621 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 %