StatTrak™ AWP | Duality (Minimal Wear)

The StatTrak™ AWP | Duality (Minimal Wear) is a classified AWP skin designed for players who care about both visuals and gameplay comfort. High risk and high reward, the infamous AWP is recognizable by its signature report and one-shot, one-kill policy. It has been custom painted with a snake on either side. One snake is red and the other is gold. There's two sides to every story As a StatTrak version, it includes a built-in kill counter, making it a more premium choice compared to the regular variant.

Color Palette

The primary color of this skin is composed of a pink tint.

Pattern Style

Different pattern indexes have no effect on the Duality finish.

Float Range

This skin is not heavily affected by float variations, and its appearance stays relatively consistent across most copies on the market. The Minimal Wear version keeps the skin looking clean overall, with only small, barely noticeable signs of use on the model.

Rarity & Drop Details

The AWP | Duality is one of 146 other Sniper Rifle skins. The rarity of the skin is Classified, which makes the Duality a very rare drop with an estimated drop chance of only 3.2%. Within the item structure it is a AWP Sniper Rifle, which defines where players typically use it in their loadouts.

Release History

The AWP | Duality was first introduced to CS2 on February 9th, 2023. It was released as part of the Revolution Case, alongside the "Revolution Case Skins" update. The skin was created by the community designer "Madara". The AWP | Duality can be obtained by opening a Revolution Case container. The skin is also part of the The Revolution Collection.

Popularity & Price Trends

With a popularity of 95%, the AWP | Duality is currently extremely popular, which makes it one of the most popular items in CS2. This popularity measurement is based on the daily sales volume and the price of the skin. As a StatTrak variant, it generally trades at a premium over the non-StatTrak version, appealing to players who care about visible kill statistics.