The StatTrak™ Glock-18 | Royal Legion (Well-Worn) is a restricted Glock-18 skin designed for players who care about both visuals and gameplay comfort. The Glock 18 is a serviceable first-round pistol that works best against unarmored opponents and is capable of firing three-round bursts. It has been painstakingly engraved. Naomi understands that one day she will die for Valeria 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 brown tint.

Pattern Style

Different pattern indexes have no effect on the Royal Legion 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 Glock-18 | Royal Legion is one of 411 other Pistol skins. The rarity of the skin is Restricted, which makes the Royal Legion a rather rare drop with an estimated drop chance of 15.98%. Within the item structure it is a Glock-18 Pistol, which defines where players typically use it in their loadouts.

Release History

The Glock-18 | Royal Legion was first introduced to CS2 on February 17th, 2016. It was released as part of the Operation Wildfire Case, alongside the "Operation Wildfire" update. The skin was created by the community designer "Teo". The Glock-18 | Royal Legion can be obtained by opening a Operation Wildfire Case container. The skin is also part of the The Wildfire Collection.

Popularity & Price Trends

With a popularity of 90%, the Glock-18 | Royal Legion 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.