The ★ StatTrak™ Karambit | Stained (Well-Worn) is a covert Karambit skin designed for players who care about both visuals and gameplay comfort. With its curved blade mimicking a tiger's claw, the karambit was developed as part of the southeast Asian martial discipline of silat. The knife is typically used with a reverse grip, with the finger ring on the index finger. It has been given a forced patina using lemon and mustard dripped onto the surface. If you think it's messy now, wait until you see it under a blacklight As a StatTrak version, it includes a built-in kill counter, making it a more premium choice compared to the regular variant.
The skin has been painted in a color scheme of gray and white.
The look of the Stained finish is affected by its pattern index.
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 ★ Karambit | Stained is one of 428 other Knife skins. The rarity of the skin is Covert, which makes the Stained an ultra rare drop with an estimated drop chance of just 0.26%. Within the item structure it is a Karambit Knife, which defines where players typically use it in their loadouts.
The ★ Karambit | Stained was first introduced to CS2 on August 14th, 2013. It was released as part of the Revolver Case, alongside the "The Arms Deal" update. The ★ Karambit | Stained can be obtained by opening one of the 11 containers that contain the skin. This includes the CS:GO Weapon Case, CS:GO Weapon Case 2 and CS:GO Weapon Case 3 container. The skin is not part of any collections.
With a popularity of 40%, the ★ Karambit | Stained is currently an item with average popularity 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.