Alexander Albon Helmet | Atlassian Williams F1 | Barcelona-Catalunya GP 2026 | 1:5 Scale (5HF281)

PRE-ORDER NOW | EXPECTED DELIVERY APRIL 2027

Celebrate one of Formula 1’s most exciting drivers with this stunning 1:5 scale replica of Alexander Albon’s helmet from the Barcelona-Catalunya GP 2026, created for the Atlassian Williams F1 Team.

This special edition captures the race-specific design worn by Alexander Albon for the Barcelona-Catalunya GP 2026, recreated in miniature for collectors and fans who want to own a piece of the 2026 season.

Expertly produced by Spark Model, this highly detailed 1:5 scale helmet faithfully reproduces the shape, graphics and finishing details of the original, making it a striking display piece for any Formula 1 collection.

Product Highlights

• Manufacturer: Spark Model
• Model: Alexander Albon Helmet
• Edition: Atlassian Williams F1 Team – Barcelona-Catalunya GP 2026
• Driver: Alexander Albon
• Scale: 1:5
• Special Feature: Race-specific 2026 helmet design
• Product Code: 5HF281
• Expected Delivery: April 2027
• Category: Formula 1 / 1:5 Scale Helmets / Williams

A Classic Circuit

The Circuit de Barcelona-Catalunya is one of the most familiar venues in Formula 1, a demanding all-round test of car and driver that teams know in exceptional detail.

Alexander Albon has been a cornerstone of Williams since 2022. The Thai-British driver is admired for his ability to extract performance from the car and for his warm personality with fans around the world.

With nine Constructors’ Championships to its name, Williams is one of the great British racing teams, and its Atlassian Williams era marks a new chapter in the rebuilding of a legendary Formula 1 name.

This Spark 1:5 scale helmet is a fantastic addition for Williams supporters, Alexander Albon fans and collectors of Formula 1 memorabilia.

Secure your pre-order today at Sparkmodel.us and add this Alexander Albon Barcelona-Catalunya GP 2026 helmet to your collection.

Please note: This is a pre-order item. Expected delivery dates are estimates and may be subject to change.