The StatTrak™ Five-SeveN | Hybrid (Well-Worn) is a restricted Five-SeveN skin designed for players who care about both visuals and gameplay comfort. Highly accurate and armor-piercing, the pricy Five-Seven is a slow-loader that compensates with a generous 20-round magazine and forgiving recoil. It has been custom painted with a silver base coat and bright purple stripes. Party in the front, party in the back 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 purple tint.

Pattern Style

Different pattern indexes have no effect on the Hybrid finish.

Float Range

This skin is not heavily affected by float variations, and its appearance stays relatively consistent across most copies on the market. Well-Worn versions have heavy fading and scratches, emphasizing a rough, heavily used look across most of the surface.

Rarity & Drop Details

The Five-SeveN | Hybrid is one of 411 other Pistol skins. The rarity of the skin is Restricted, which makes the Hybrid a rather rare drop with an estimated drop chance of 15.98%. Within the item structure it is a Five-SeveN Pistol, which defines where players typically use it in their loadouts.

Release History

The Five-SeveN | Hybrid was first introduced to CS2 on February 6th, 2024. It was released as part of the Kilowatt Case, alongside the "The First Actual CS2 Skins" update. The skin was created by the community designer "Pet3D". The Five-SeveN | Hybrid can be obtained by opening a Kilowatt Case container. The skin is also part of the The Kilowatt Collection.

Popularity & Price Trends

With a popularity of 95%, the Five-SeveN | Hybrid 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.