🏔️ Mickey Thompson Baja Legend EXP 33X12.5R15 C 108Q Rugged All-Terrain Tire
⚡ Price Comparison Summary:
Weekly updated prices from top retailers 2 retailers, the best price for the Mickey Thompson Baja Legend EXP 33X12.5R15 C 108Q Rugged All-Terrain Tire is $278.39, currently matched by Tire Rack and SimpleTire.$278.39
As your trusted tire expert, I’m excited to present the Mickey Thompson Baja Legend EXP 33X12.5R15 C 108Q. This isn’t just any tire; it’s engineered for those who demand serious performance and legendary durability, whether you’re tackling challenging trails or cruising the highway. The Baja Legend EXP is a true rugged all-terrain warrior, built on Mickey Thompson’s heritage of off-road dominance.
Designed to deliver exceptional traction and stability across diverse landscapes, from rocky paths to muddy trails and even paved roads, this tire truly lives up to its name. With a ‘Q’ speed rating, it’s confidently capable of speeds up to 99 mph, making it perfect for both adventurous off-road excursions and reliable everyday driving. Its robust C load range and 108 load index ensure it can handle significant loads, providing peace of mind for your truck or SUV. Experience year-round versatility with its superb all-terrain capabilities, offering dependable grip in dry, wet, and light snow conditions, making it an ideal choice for the dedicated explorer.
Features:
- Aggressive tread pattern for maximum off-road traction and grip.
- Reinforced sidewalls for enhanced durability and puncture resistance.
- Optimized tread design for a surprisingly comfortable and quiet on-road experience.
- Variable tread blocks promote self-cleaning for continuous performance in mud and loose terrain.
Technical Specifications:
- Tire Name: Mickey Thompson Baja Legend EXP
- Size: 33X12.5R15
- Load Range: C (6-Ply Rated)
- Load Index: 108 (2205 lbs / 1000 kg)
- Speed Rating: Q (Up to 99 mph / 160 km/h)
- Type: Rugged All-Terrain
- Manufacturer Part Number: 331066003
Product information is compiled and reviewed by our editorial team using manufacturer specifications and retailer data.