The StatTrak™ SCAR-20 | Bloodsport (Field-Tested) is a classified SCAR-20 skin designed for players who care about both visuals and gameplay comfort. The SCAR-20 is a semi-automatic sniper rifle that trades a high rate of fire and powerful long-distance damage for sluggish movement speed and big price tag. It has been covered in white logo decals over a red and black hydrographic. CT-side sponsored by… 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 skin has been painted in a color scheme of red and white.

Pattern Style

Different pattern indexes have no effect on the Bloodsport 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 SCAR-20 | Bloodsport is one of 146 other Sniper Rifle skins. The rarity of the skin is Classified, which makes the Bloodsport a very rare drop with an estimated drop chance of only 3.2%. Within the item structure it is a SCAR-20 Sniper Rifle, which defines where players typically use it in their loadouts.

Release History

The SCAR-20 | Bloodsport was first introduced to CS2 on June 15th, 2016. It was released as part of the Gamma Case, alongside the "Gamma Exposure" update. The skin was created by the community designer "SLIMEface". The SCAR-20 | Bloodsport can be obtained by opening a Gamma Case container. The skin is also part of the The Gamma Collection.

Popularity & Price Trends

With a popularity of 90%, the SCAR-20 | Bloodsport 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.