StatTrak™ M4A1-S | Leaded Glass (Field-Tested)

The StatTrak™ M4A1-S | Leaded Glass (Field-Tested) is a classified M4A1-S skin designed for players who care about both visuals and gameplay comfort. 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 M4A1-S has been painted in a "Gunsmith" style, with the Leaded Glass finish. This style uses a combination of patina and custom paint styles. Different pattern indexes have no effect on the Leaded Glass finish. The skin uses the old legacy model.

Pattern Style

Different pattern indexes have no effect on the Leaded Glass finish.

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 M4A1-S | Leaded Glass is one of 304 other Rifle skins. The rarity of the skin is Classified, which makes the Leaded Glass a very rare drop with an estimated drop chance of only 3.2%. Within the item structure it is a M4A1-S Rifle, which defines where players typically use it in their loadouts.

Release History

The M4A1-S | Leaded Glass was first introduced to CS2 on September 14th, 2017. It was released as part of the Spectrum 2 Case, alongside the "China, are you ready?" update. The skin was created by the community designer "de puiseau". The M4A1-S | Leaded Glass can be obtained by opening a Spectrum 2 Case container. The skin is also part of the The Spectrum 2 Collection.

Popularity & Price Trends

With a popularity of 95%, the M4A1-S | Leaded Glass 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.