★ StatTrak™ Shadow Daggers | Stained (Field-Tested)

The ★ StatTrak™ Shadow Daggers | Stained (Field-Tested) is a covert Shadow Daggers skin designed for players who care about both visuals and gameplay comfort. Designed for efficient brutality, using a push dagger is as simple as throwing a punch or two. 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.

Color Palette

The skin has been painted in a color scheme of gray and white.

Pattern Style

The look of the Stained finish is affected by its pattern index.

Float Range

This skin is not heavily affected by float variations, and its appearance stays relatively consistent across most copies on the market. Field-Tested copies show more visible scratches and fading, giving the weapon a noticeably used, battle-tested appearance.

Rarity & Drop Details

The ★ Shadow Daggers | 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 Shadow Daggers Knife, which defines where players typically use it in their loadouts.

Release History

The ★ Shadow Daggers | Stained was first introduced to CS2 on September 17th, 2015. It was released as part of the Shadow Case, alongside the "Shadow Boxing" update. The ★ Shadow Daggers | Stained can be obtained by opening a Shadow Case container. The skin is not part of any collections.

Popularity & Price Trends

With a popularity of 95%, the ★ Shadow Daggers | Stained 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.