The StatTrak™ Dual Berettas | Cartel (Well-Worn) is a mil-spec grade Dual Berettas skin designed for players who care about both visuals and gameplay comfort. Firing two large-mag Berettas at once will lower accuracy and increase load times. On the bright side, you'll get to fire two large-mag Berettas at once. It has been engraved with skeletons, flowers and serpents. That's why Huxley is doing the heavy lifting, all we have to is nudge her forward... - The Serpent and The Truth Seeker, Part 2 As a StatTrak version, it includes a built-in kill counter, making it a more premium choice compared to the regular variant.
That said, this particular skin has been mostly painted in shades of gray.
Different pattern indexes have no effect on the Cartel finish.
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.
The Dual Berettas | Cartel is one of 411 other Pistol skins. The rarity of the skin is Mil-Spec Grade, which makes the Cartel a pretty common drop with an estimated drop chance of 79.92%. Within the item structure it is a Dual Berettas Pistol, which defines where players typically use it in their loadouts.
The Dual Berettas | Cartel was first introduced to CS2 on February 17th, 2016. It was released as part of the Operation Wildfire Case, alongside the "Operation Wildfire" update. The skin was created by the community designer "Anders". The Dual Berettas | Cartel can be obtained by opening a Operation Wildfire Case container. The skin is also part of the The Wildfire Collection.
With a popularity of 85%, the Dual Berettas | Cartel 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.