The StatTrak™ CZ75-Auto | Distressed (Battle-Scarred) is a mil-spec grade CZ75-Auto skin designed for players who care about both visuals and gameplay comfort. A fully automatic variant of the CZ75, the CZ75-Auto is the ideal short-term choice for turning the tables and gaining your opponents weapon. But with very little ammo in the magazine, strong trigger discipline is required. The copper colored ceramic finish is wearing away with use. Better with age As a StatTrak version, it includes a built-in kill counter, making it a more premium choice compared to the regular variant.
This style enables extremely customized looks in a full range of colors. The primary color of this skin is composed of a brown tint.
Different pattern indexes have no effect on the Distressed finish.
This skin is not heavily affected by float variations, and its appearance stays relatively consistent across most copies on the market. Battle-Scarred versions feature the strongest wear, with intense fading and damage that heavily alters the original artwork.
The CZ75-Auto | Distressed is one of 411 other Pistol skins. The rarity of the skin is Mil-Spec Grade, which makes the Distressed a pretty common drop with an estimated drop chance of 79.92%. Within the item structure it is a CZ75-Auto Pistol, which defines where players typically use it in their loadouts.
The CZ75-Auto | Distressed was first introduced to CS2 on March 31st, 2020. It was released as part of the Prisma 2 Case, alongside the "Prisma 2 Case Skins" update. The skin was created by the community designer "Teo". The CZ75-Auto | Distressed can be obtained by opening a Prisma 2 Case container. The skin is also part of the The Prisma 2 Collection.
With a popularity of 85%, the CZ75-Auto | Distressed is currently in the top 15% 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.