StatTrak™ MP9 | Hydra (Battle-Scarred)

The StatTrak™ MP9 | Hydra (Battle-Scarred) is a classified MP9 skin designed for players who care about both visuals and gameplay comfort. Manufactured in Switzerland, the cutting-edge MP9 SMG is an ergonomic polymer weapon favored by private security firms. A custom paint job referencing Operation Hydra, CS:GO's 8th Operation, has been applied. Worth the wait 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 green tint.

Pattern Style

Different pattern indexes have no effect on the Hydra finish.

Float Range

This skin is not heavily affected by float variations, and its appearance stays relatively consistent across most copies on the market. Battle-Scarred versions feature the strongest wear, with intense fading and damage that heavily alters the original artwork.

Rarity & Drop Details

The MP9 | Hydra is one of 278 other SMG skins. The rarity of the skin is Classified, which makes the Hydra a very rare drop with an estimated drop chance of only 3.2%. Within the item structure it is a MP9 SMG, which defines where players typically use it in their loadouts.

Release History

The MP9 | Hydra was first introduced to CS2 on October 18th, 2019. It was released as part of the CS20 Case, alongside the "CS20 Case Skins" update. The skin was created by the community designer "Frostbug". The MP9 | Hydra can be obtained by opening a CS20 Case container. The skin is also part of the The CS20 Collection.

Popularity & Price Trends

With a popularity of 95%, the MP9 | Hydra 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.