The StatTrak™ SSG 08 | Parallax (Field-Tested) is a restricted SSG 08 skin designed for players who care about both visuals and gameplay comfort. The SSG08 bolt-action is a low-damage but very cost-effective sniper rifle, making it a smart choice for early-round long-range marksmanship. The colors in this custom paint job were applied in offset positions, leading to an eye-popping look. Shoot twice, kill once As a StatTrak version, it includes a built-in kill counter, making it a more premium choice compared to the regular variant.
This style enables extremely customized looks in a full range of colors. The skin has been painted in a color scheme of black and gray.
Different pattern indexes have no effect on the Parallax finish.
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.
The SSG 08 | Parallax is one of 146 other Sniper Rifle skins. The rarity of the skin is Restricted, which makes the Parallax a rather rare drop with an estimated drop chance of 15.98%. Within the item structure it is a SSG 08 Sniper Rifle, which defines where players typically use it in their loadouts.
The SSG 08 | Parallax was first introduced to CS2 on December 3rd, 2020. It was released as part of the Operation Broken Fang Case, alongside the "Operation Broken Fang" update. The skin was created by the community designer "kosear". The SSG 08 | Parallax can be obtained by opening a Operation Broken Fang Case container. The skin is also part of the The Operation Broken Fang Collection.
With a popularity of 90%, the SSG 08 | Parallax 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.