🇵🇸 0SAMASCS2 Settings, Crosshair & Config
Osama Orabi
Settings last verified
Crosshair code
CSGO-yUAU6-Vi5Jx-n3WcC-iGkkQ-jW2UO0SAMAS is a professional CS2 rifler currently playing for JiJieHao from Palestine. 0SAMAS plays with a high sensitivity setup at 3200 eDPI (3200 DPI × 1 sens), which is above the pro average of 846. 0SAMAS uses 1280x960 resolution (4:3 Stretched) on a ZOWIE XL2546, paired with a Logitech G Pro X Superlight 2 Black. Over their last 339 tracked maps, 0SAMAS holds a 1.07 HLTV rating.
0SAMAS's eDPI of 3200 (3200 DPI × 1 sensitivity) sits at the 100th percentile of the 1008 pros we track, among the fastest in pro play — a wrist-led style that trades stability for reaction speed. The pro median is 800 eDPI, so before copying these numbers wholesale, translate the feel to your own setup with the eDPI calculator rather than matching DPI and sensitivity digit-for-digit.
Like 57% of the pros in our database, 0SAMAS plays 1280x960 stretched — the classic 4:3 choice that makes character models appear wider at the cost of horizontal field of view. Stretched players tend to value target width for spray control over the extra edge-of-screen information native 16:9 gives.
The crosshair (size 3) is larger than the pro median of 1, in green. Copy it one-click with the share code above, or load it into the crosshair generator to resize it for your own resolution — a crosshair tuned for 1280x960 can feel different at another.
On gear, the Logitech G Pro X Superlight 2 Black is a proven pro choice — 87 other players in our database use the same mouse, and the ZOWIE XL2546 monitor pairing is a staple of tier-one setups. Full peripherals, with every pro using each item, are listed below.
Mouse & Sensitivity Settings
Sensitivity
Mouse & Mousepad
Crosshair Settings
CSGO-yUAU6-Vi5Jx-n3WcC-iGkkQ-jW2UOAdvanced Crosshair Settings
Video & Display Settings
Display
Advanced Video
Viewmodel Settings
Viewmodel
Console Commands
viewmodel_fov 68; viewmodel_offset_x 2.5; viewmodel_offset_y 2; viewmodel_offset_z -2Radar & HUD Settings
HUD
Config & Download
Download 0SAMAS's complete CS2 config as an autoexec file, or copy all console commands at once.
// 0SAMAS's CS2 Config — Generated by CSDB.gg // https://csdb.gg/player/0samas/ // Sensitivity sensitivity "1" zoom_sensitivity_ratio_mouse "1" // Crosshair cl_crosshairstyle "4" cl_crosshairsize "3" cl_crosshairgap "0" cl_crosshairthickness "0" cl_crosshairdot "0" cl_crosshair_drawoutline "0" // Viewmodel viewmodel_fov "68" viewmodel_offset_x "2.5" viewmodel_offset_y "2" viewmodel_offset_z "-2"
Full Gear & Peripherals
0SAMAS's Inventory
0SAMAS's CS2 inventory is currently worth $4,625.32 across 80 items at live marketplace prices. Updated Jul 28, 2026.
0SAMAS Performance Stats
Career averages from professional matches, powered by PandaScore.
Performance data from professional matches via PandaScore. Averages over the last 339 tracked maps.
Recent Matches
Recent match results for this player's team.
JiJieHao Teammates
JiJieHao roster & team settings →
Players With Similar Settings
Frequently Asked Questions
- What sensitivity does 0SAMAS use in CS2?
- 0SAMAS uses 3200 DPI with 1 in-game sensitivity, resulting in 3200 eDPI. This translates to approximately 13 cm per 360-degree turn. This is above the pro average of 846 eDPI, suggesting a preference for faster target acquisition.
- What mouse does 0SAMAS use?
- 0SAMAS currently uses the Logitech G Pro X Superlight 2 Black at 3200 DPI with a 2000Hz polling rate, paired with a Logitech G640 Original mousepad.
- What resolution does 0SAMAS play on?
- 0SAMAS plays on 1280x960 (4:3) with Stretched display mode at 240Hz on a ZOWIE XL2546.
- What is 0SAMAS's crosshair code?
- 0SAMAS's crosshair code is CSGO-yUAU6-Vi5Jx-n3WcC-iGkkQ-jW2UO. To apply it, open CS2, go to Settings → Crosshair → Share or Import, and paste the code.
- What is 0SAMAS's HLTV rating?
- Across 339 tracked professional maps, 0SAMAS holds a 1.07 HLTV rating with 74.04 ADR and a 72.41% KAST, on a 79–75 match record (51.3% win rate). Averages are drawn from professional matches via PandaScore.