StatTrak™ P250 | Muertos (Well-Worn)

The StatTrak™ P250 | Muertos (Well-Worn) is a classified P250 skin designed for players who care about both visuals and gameplay comfort. A low-recoil firearm with a high rate of fire, the P250 is a relatively inexpensive choice against armored opponents. It has been custom painted with circular motifs. This one is steeped in tradition and blood As a StatTrak version, it includes a built-in kill counter, making it a more premium choice compared to the regular variant.

Color Palette

This style enables extremely customized looks in a full range of colors. The primary color of this skin is composed of a red tint.

Pattern Style

Different pattern indexes have no effect on the Muertos 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 P250 | Muertos is one of 411 other Pistol skins. The rarity of the skin is Classified, which makes the Muertos a very rare drop with an estimated drop chance of only 3.2%. Within the item structure it is a P250 Pistol, which defines where players typically use it in their loadouts.

Release History

The P250 | Muertos was first introduced to CS2 on January 8th, 2015. It was released as part of the Chroma Case, alongside the "Full Spectrum" update. The skin was created by the community designer "Marioso". The P250 | Muertos can be obtained by opening a Chroma Case container. The skin is also part of the The Chroma Collection.

Popularity & Price Trends

With a popularity of 90%, the P250 | Muertos 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.