asran settings

asran uses a mouse sensitivity of 1.8 combined with a DPI of 400, resulting in an effective DPI (eDPI) of 720. This moderate eDPI strikes a balance between precision and agility, allowing for controlled, accurate crosshair movements while still enabling quick turns when necessary. Such a setup is favored by many professional players for its consistency and reliability during high-pressure situations.

asran utilizes a classic static crosshair with a minimal gap of -2, a very short length of 1, and a thin thickness of 0.5, colored in a vibrant green (RGB 50, 250, 50). The absence of a center dot and outline reduces distractions, while the static style ensures the crosshair remains steady even during movement. This minimalistic and highly visible configuration aids in precise aiming and quick target acquisition, especially in fast-paced engagements.

asran plays at a 1280x960 resolution with a 4:3 aspect ratio and uses windowed mode with black bars scaling. He opts for low shader and model texture detail, disables V-Sync, and uses bilinear texture filtering with no anti-aliasing. These settings prioritize maximum frame rates and minimal input lag, ensuring smooth gameplay and clear visibility of opponents, which are critical factors for high-level competitive play.

asran uses the ZOWIE XL2546K monitor, a popular choice among professional Counter-Strike players. This monitor is renowned for its 240Hz refresh rate and extremely low input lag, providing ultra-smooth motion and rapid response times. Such features allow asran to react swiftly to in-game events, giving him a competitive edge in high-stakes matches.

asran’s current setup pairs the Razer Viper V3 Pro Black mouse with a Razer Gigantus V2 mousepad. The Viper V3 Pro is known for its lightweight, ergonomic design and high-performance sensor, while the Gigantus V2 offers a large, smooth surface ideal for low-sensitivity players. This combination supports precise, consistent tracking and swift, controlled movements, crucial for maintaining accuracy during extended play sessions.

asran’s viewmodel settings are fine-tuned with a field of view of 63, offsets of 1.5 (X), 2 (Y), and -2 (Z), and preset position 0. These adjustments position the weapon model lower and further to the side, maximizing central screen visibility and minimizing visual clutter. This configuration helps asran maintain focus on opponents and critical game elements without distraction from the weapon model.

asran uses the Razer BlackShark V2 Pro Black headset, known for its clear sound quality and precise directional audio. Paired with Razer Hammerhead HyperSpeed earphones for versatility, this audio setup ensures that subtle in-game sounds like footsteps and utility cues are accurately reproduced, enhancing his ability to detect and react to enemy movements and actions.

asran customizes his HUD with a scale of 0.85 and team-colored elements, ensuring that crucial information is visible without occupying excessive screen space. This streamlined HUD layout allows him to quickly assimilate relevant data while maintaining an unobstructed view of the game, which is vital for rapid decision-making in competitive matches.

asran’s launch options include commands like '-novid' to skip the intro video, '-nojoy' to disable joystick support, '-freq 240' to match his monitor’s refresh rate, '+exec autoexec.cfg' to load custom configurations, '-tickrate 128' for optimal server performance in offline games, and '-allow_third_party_software' for compatibility. These settings streamline game startup, reduce unnecessary resource usage, and ensure a consistent, high-performance environment from the moment the game launches.

According to the profile data, asran’s current sensitivity is 1.8 with a DPI of 400, resulting in an eDPI of 720. Although historical sensitivity values are not provided, the presence of a single, consistent value suggests that asran has found a setup that suits his playstyle and has likely prioritized stability over frequent changes. This consistency indicates a methodical approach to aiming, emphasizing muscle memory and reliability over experimentation.