Mercedes-AMG GT3 EVO #80 Lone Star Racing 2025 IMSA Daytona 24 Hrs in 1:43 scale
This is the Mercedes-AMG GT3 EVO #80 Lone Star Racing 2025 IMSA Daytona 24 Hrs in 1:43 scale by Topspeed.
At the 2025 Rolex 24 at Daytona, the No. 80 Mercedes-AMG GT3 Evo from Lone Star Racing competed in the GTD class. The driver lineup included team owner Dan Knox, Australian driver Scott Andrews, American Eric Filgueiras, and Estonian driver Ralf Aron . Unfortunately, the team retired from the race after completing 197 laps due to collision damage . Despite the early exit, the team's participation highlighted their commitment to the IMSA Michelin Endurance Cup and their partnership with Mercedes-AMG.
This model is hand painted and polished to a beautiful finish and has a sealed body. Resin models are
exceptionally accurate of scale, shape and detail. Each model is created using a variety of production
processes, to achieve this precision. They are produced using a composite material referred to in the
industry as “resin”. Photo etched parts, die-cutting, tampo printing and waterslide decals are often used
for the most authentic replication.
At the 2025 Rolex 24 at Daytona, the No. 80 Mercedes-AMG GT3 Evo from Lone Star Racing competed in the GTD class. The driver lineup included team owner Dan Knox, Australian driver Scott Andrews, American Eric Filgueiras, and Estonian driver Ralf Aron . Unfortunately, the team retired from the race after completing 197 laps due to collision damage . Despite the early exit, the team's participation highlighted their commitment to the IMSA Michelin Endurance Cup and their partnership with Mercedes-AMG.
This model is hand painted and polished to a beautiful finish and has a sealed body. Resin models are
exceptionally accurate of scale, shape and detail. Each model is created using a variety of production
processes, to achieve this precision. They are produced using a composite material referred to in the
industry as “resin”. Photo etched parts, die-cutting, tampo printing and waterslide decals are often used
for the most authentic replication.
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