D6629 31.0/13.5R15 X5 Drag Tire

The Mickey Thompson D6629 31.0/13.5R15 X5 Drag Tire is a purpose-built radial drag tire engineered for bracket racing and dedicated drag strip competition. This 31-inch tire delivers the compound stiffness and sidewall construction required for controlled weight transfer during launch, repeatability across multiple passes, and consistent performance in bracket racing environments where predictability directly impacts ET consistency and win light decisions.

The X5 compound formulation provides the heat resistance and grip characteristics necessary for controlled traction off the line without excessive spin or chattering during the critical first 60 feet. The radial construction enables proper load distribution across the contact patch, reducing sidewall deflection that would otherwise rob consistency and increase elapsed time scatter. The 13.5-inch width and 15-inch rim diameter combination fits classic drag racing platforms and vintage hot rods where OEM wheel sizing limits tire options. Black sidewalls integrate cleanly with traditional race aesthetics and are standard across Mickey Thompson's drag tire lineup.

Bracket racers and street-legal drag enthusiasts rely on the D6629 when consistency matters more than ultimate grip. The tire performs in dedicated bracket racing programs where drivers need repeatable 60-foot times and predictable power delivery through the first phase of acceleration. This tire is sold individually; most bracket racing setups require a pair for the drive wheels, and additional rears for rotation and wear management across a race season.

Mickey Thompson has engineered drag-specific tires for over 60 years, and the D6629 represents their focus on the bracket racing segment where ET consistency and repeatability determine winners. Serious bracket racers who have narrowed their tire choice to this model typically already understand the geometry of their suspension and the power output of their engine, and are selecting this tire to optimize performance within those known parameters.