The StatTrak™ M4A1-S | Golden Coil (Minimal Wear) is a covert M4A1-S skin designed for players who care about both visuals and gameplay comfort. With a smaller magazine than its unmuffled counterpart, the silenced M4A1 provides quieter shots with less recoil and better accuracy. It has been painted with a hydrographic of an attacking snake. The viper can strike from anywhere As a StatTrak version, it includes a built-in kill counter, making it a more premium choice compared to the regular variant.
This M4A1-S has been painted in a "Gunsmith" style, with the Golden Coil finish. The skin has been painted in a color scheme of yellow and gold. Different pattern indexes have no effect on the Golden Coil finish.
Different pattern indexes have no effect on the Golden Coil finish.
This skin is not heavily affected by float variations, and its appearance stays relatively consistent across most copies on the market. The Minimal Wear version keeps the skin looking clean overall, with only small, barely noticeable signs of use on the model.
The M4A1-S | Golden Coil is one of 304 other Rifle skins. The rarity of the skin is Covert, which makes the Golden Coil a super rare drop with an estimated drop chance of only 0.64%. Within the item structure it is a M4A1-S Rifle, which defines where players typically use it in their loadouts.
The M4A1-S | Golden Coil was first introduced to CS2 on September 17th, 2015. It was released as part of the Shadow Case, alongside the "Shadow Boxing" update. The skin was created by the community designer "Kitch.sb". The M4A1-S | Golden Coil can be obtained by opening a Shadow Case container. The skin is also part of the The Shadow Collection.
With a popularity of 99%, the M4A1-S | Golden Coil 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.