🇨🇳 EmiliaQAQCS2 Settings, Crosshair & Config
Tang Junjie
RiflerChinaAge 21

640eDPI
65cmcm / 360°
0.8Sensitivity
Crosshair code
CSGO-YRc9Q-PvXwd-Qn3mT-y3Zok-jCdRFEmiliaQAQ is a professional CS2 rifler currently playing for Lynn Vision from China. EmiliaQAQ plays with a medium sensitivity setup at 640 eDPI (800 DPI × 0.8 sens), which is below the pro average of 840. EmiliaQAQ uses 1280x960 resolution (4:3 Stretched) on a ZOWIE XL2566X+, paired with a Logitech G Pro X Superlight 2 Magenta. Over their last 481 tracked maps, EmiliaQAQ holds a 1.07 HLTV rating.
Mouse & Sensitivity Settings
Sensitivity
DPI800
In-Game Sensitivity0.8
eDPI640
Zoom Sensitivity1
Polling Rate1000Hz
cm/360°65cm
640
Avg 840
LowMediumHigh
Mouse & Mousepad
MouseLogitech G Pro X Superlight 2 Magenta
MousepadZOWIE H-TR
Crosshair Settings
EmiliaQAQ's Crosshair
Try in Crosshair Generator →CSGO-YRc9Q-PvXwd-Qn3mT-y3Zok-jCdRFStyleClassic Static
ColorCustom
Size1
Thickness1.2
Gap-3.3
DotNo
OutlineNo
Advanced Crosshair Settings
Follow RecoilNo
T-StyleNo
Red0
Green255
Blue0
Use AlphaYes
Alpha255
Outline Thickness1
Deployed Weapon GapNo
Split Distance7
Fixed Gap-9
Inner Split Alpha1
Outer Split Alpha0.5
Split Size Ratio0.3
Sniper Width1
Video & Display Settings
Display
Resolution1280x960
Aspect Ratio4:3
Scaling ModeStretched
Refresh Rate400Hz
MonitorZOWIE XL2566X+
Display ModeFullscreen
Brightness50
Advanced Video
Viewmodel Settings
Viewmodel
viewmodel_fov68
viewmodel_offset_x2.5
viewmodel_offset_y0
viewmodel_offset_z-1.5
viewmodel_presetpos2
Console Commands
viewmodel_fov 68; viewmodel_offset_x 2.5; viewmodel_offset_y 0; viewmodel_offset_z -1.5Radar & HUD Settings
Radar
Centers PlayerYes
RotatingYes
Toggle ShapeYes
Radar HUD Size1
Radar Map Zoom0.4
HUD
HUD Scale1
HUD ColorWhite
Monitor Settings
DyAcPremium
Black eQualizer10
Color Vibrance15
Low Blue Light0
Picture ModeFPS 1
Contrast50
Sharpness8
GammaGamma 3
Color TemperatureNormal
AMAHigh
Config & Download
Download EmiliaQAQ's complete CS2 config as an autoexec file, or copy all console commands at once.
autoexec.cfg preview
// EmiliaQAQ's CS2 Config — Generated by CSDB.gg // https://csdb.gg/player/emiliaqaq/ // Sensitivity sensitivity "0.8" zoom_sensitivity_ratio_mouse "1" // Crosshair cl_crosshairstyle "4" cl_crosshairsize "1" cl_crosshairgap "-3.3" cl_crosshairthickness "1.2" cl_crosshairdot "0" cl_crosshair_drawoutline "0" // Viewmodel viewmodel_fov "68" viewmodel_offset_x "2.5" viewmodel_offset_y "0" viewmodel_offset_z "-1.5"
Full Gear & Peripherals
EmiliaQAQ's Weapon Skins
EmiliaQAQ Performance Stats
Career averages from professional matches, powered by PandaScore.
1.07
EmiliaQAQ150–92 match record · 62% win rate
1.07HLTV Rating
70.99ADR
71.73%KAST
61.8%HS %
+-0.3K–D Diff / Map
62%Win Rate
481Maps Played
242Matches
10,716Rounds
Performance data from professional matches via PandaScore. Averages over the last 481 tracked maps.
Recent Matches
Recent match results for this player's team.
Loading match history…
Lynn Vision Teammates
Lynn Vision roster & team settings →Players With Similar Settings
Frequently Asked Questions
- What sensitivity does EmiliaQAQ use in CS2?
- EmiliaQAQ uses 800 DPI with 0.8 in-game sensitivity, resulting in 640 eDPI. This translates to approximately 65 cm per 360-degree turn. This is below the pro average of 840 eDPI, suggesting a preference for precision over speed.
- What mouse does EmiliaQAQ use?
- EmiliaQAQ currently uses the Logitech G Pro X Superlight 2 Magenta at 800 DPI with a 1000Hz polling rate, paired with a ZOWIE H-TR mousepad.
- What resolution does EmiliaQAQ play on?
- EmiliaQAQ plays on 1280x960 (4:3) with Stretched display mode at 400Hz on a ZOWIE XL2566X+.
- What is EmiliaQAQ's crosshair code?
- EmiliaQAQ's crosshair code is CSGO-YRc9Q-PvXwd-Qn3mT-y3Zok-jCdRF. To apply it, open CS2, go to Settings → Crosshair → Share or Import, and paste the code.
- What is EmiliaQAQ's HLTV rating?
- Across 481 tracked professional maps, EmiliaQAQ holds a 1.07 HLTV rating with 70.99 ADR and a 71.73% KAST, on a 150–92 match record (62% win rate). Averages are drawn from professional matches via PandaScore.
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