Interco TSL Bias 33/12.5015 Mud Light Truck Tires
⚡ Price Comparison Summary:
Weekly updated prices from top retailers, the best available price for the Interco TSL Bias 33/12.5015 Mud Light Truck Tires is $421.96 at SimpleTire. You can also check Amazon for alternative deals and availability.$377.99
The Interco TSL Bias tire is an legendary off-road performer, purpose-built for light truck owners who demand uncompromising traction in extreme conditions. This aggressive mud-terrain tire is engineered to conquer the toughest trails, delivering unparalleled grip and durability where standard tires simply fail. It’s the ultimate choice for dedicated mud bogging, serious rock crawling, and challenging backcountry adventures.
Featuring deep, robust lugs and a unique tread design, the TSL Bias excels in loose dirt, deep mud, and over uneven terrain, ensuring exceptional forward momentum and lateral stability. Its bias-ply construction prioritizes maximum off-road articulation and formidable obstacle clearance, providing supreme control and traction in the most demanding environments. This design focuses on peak performance away from paved surfaces.
Built for relentless resilience, the Interco TSL Bias incorporates a heavy-duty compound and reinforced sidewalls, designed to withstand punctures and impacts inherent to extreme off-roading. Its durable construction ensures a long operational lifespan under strenuous use, making it a dependable choice for serious adventurers across all non-ice seasons.
Given its aggressive, specialized design, this tire prioritizes superior off-road capability, resulting in a firm ride and noticeable road noise during on-pavement travel.
Key Features & Specifications
- Load Range: Light Truck Duty
- Speed Rating: Q (up to 99 mph)
- Season Type: All-Season (Off-Road Specialized)
- Tread Pattern: Aggressive Super Swamper TSL Lugs
- Construction: Bias-Ply
Equip your rig with the Interco TSL Bias and dominate any terrain with confidence.
Product information is compiled and reviewed by our editorial team using manufacturer specifications and retailer data.
