StatTrak™ MAC-10 | Stalker (Well-Worn)

The StatTrak™ MAC-10 | Stalker (Well-Worn) is a covert MAC-10 skin designed for players who care about both visuals and gameplay comfort. Essentially a box that bullets come out of, the MAC-10 SMG boasts a high rate of fire, with poor spread accuracy and high recoil as trade-offs. It has been custom painted with a neon blue cat and yellow and black stripes. Here kitty, kitty... 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 primary color of this skin is composed of a yellow tint.

Pattern Style

Different pattern indexes have no effect on the Stalker 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 MAC-10 | Stalker is one of 278 other SMG skins. The rarity of the skin is Covert, which makes the Stalker a super rare drop with an estimated drop chance of only 0.64%. Within the item structure it is a MAC-10 SMG, which defines where players typically use it in their loadouts.

Release History

The MAC-10 | Stalker was first introduced to CS2 on November 18th, 2019. It was released as part of the Shattered Web Case, alongside the "Operation Shattered Web" update. The skin was created by the community designer "Zaphk". The MAC-10 | Stalker can be obtained by opening a Shattered Web Case container. The skin is also part of the The Shattered Web Collection.

Popularity & Price Trends

With a popularity of 90%, the MAC-10 | Stalker 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.