🇱🇹 EspiranToCS2 Settings, Crosshair & Config
Rokas Milasauskas
RiflerLithuaniaAge 25
960eDPI
43cmcm / 360°
1.2Sensitivity
Crosshair code
CSGO-SSLrk-S5jKU-HJsD4-yk58a-9ApEMEspiranTo is a professional CS2 rifler currently playing for 9INE Academy from Lithuania. EspiranTo plays with a high sensitivity setup at 960 eDPI (800 DPI × 1.2 sens), which is above the pro average of 844. EspiranTo uses 1280x960 resolution (4:3 Stretched) on a ZOWIE XL2540, paired with a Logitech G Pro X Superlight Black. Over their last 324 tracked maps, EspiranTo holds a 1.06 HLTV rating.
Mouse & Sensitivity Settings
Sensitivity
DPI800
In-Game Sensitivity1.2
eDPI960
Zoom Sensitivity1
Polling Rate1000Hz
cm/360°43cm
960
Avg 844
LowMediumHigh
Mouse & Mousepad
MouseLogitech G Pro X Superlight Black
MousepadLogitech G640 Original
Crosshair Settings
EspiranTo's Crosshair
Try in Crosshair Generator →CSGO-SSLrk-S5jKU-HJsD4-yk58a-9ApEMStyleClassic Static
ColorCustom
Size1
Thickness1
Gap-4
DotNo
OutlineYes
Advanced Crosshair Settings
Follow RecoilNo
T-StyleNo
Red0
Green255
Blue165
Use AlphaYes
Alpha255
Outline Thickness0
Deployed Weapon GapNo
Split Distance3
Fixed Gap3
Inner Split Alpha0
Outer Split Alpha1
Split Size Ratio1
Sniper Width0
Video & Display Settings
Display
Resolution1280x960
Aspect Ratio4:3
Scaling ModeStretched
Refresh Rate1000Hz
MonitorZOWIE XL2540
Display ModeFullscreen
Advanced Video
Viewmodel & Bob Settings
Viewmodel
viewmodel_fov68
viewmodel_offset_x2.5
viewmodel_offset_y0
viewmodel_offset_z-1.5
Console Commands
viewmodel_fov 68; viewmodel_offset_x 2.5; viewmodel_offset_y 0; viewmodel_offset_z -1.5Weapon Bob
cl_bob_lower_amt5
cl_bobamt_lat0.33
cl_bobamt_vert0.14
cl_bobcycle0.98
Radar & HUD Settings
Radar
Centers PlayerYes
RotatingYes
Toggle ShapeYes
Radar HUD Size0.92
Radar Map Zoom0.3025
HUD
HUD Scale0.95
HUD ColorLight Blue
Config & Download
Download EspiranTo's complete CS2 config as an autoexec file, or copy all console commands at once.
autoexec.cfg preview
// EspiranTo's CS2 Config — Generated by CSDB.gg // https://csdb.gg/player/espiranto/ // Sensitivity sensitivity "1.2" zoom_sensitivity_ratio_mouse "1" // Crosshair cl_crosshairstyle "4" cl_crosshairsize "2" cl_crosshairgap "-1" cl_crosshairthickness "1" 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
MonitorZOWIE XL2540
KeyboardLogitech G Pro X Keyboard
HeadsetLogitech G Pro X Headset
MousepadLogitech G640 Original
EspiranTo's Weapon Skins
PC Specs
GPURTX 4090
EspiranTo Performance Stats
Career averages from professional matches, powered by PandaScore.
1.06
EspiranTo74–88 match record · 45.7% win rate
1.06HLTV Rating
73.42ADR
69.22%KAST
63.1%HS %
+0.1K–D Diff / Map
45.7%Win Rate
324Maps Played
162Matches
8,597Rounds
Performance data from professional matches via PandaScore. Averages over the last 324 tracked maps.
Recent Matches
Recent match results for this player's team.
Loading match history…
Players With Similar Settings
Frequently Asked Questions
- What sensitivity does EspiranTo use in CS2?
- EspiranTo uses 800 DPI with 1.2 in-game sensitivity, resulting in 960 eDPI. This translates to approximately 43 cm per 360-degree turn. This is above the pro average of 844 eDPI, suggesting a preference for faster target acquisition.
- What mouse does EspiranTo use?
- EspiranTo currently uses the Logitech G Pro X Superlight Black at 800 DPI with a 1000Hz polling rate, paired with a Logitech G640 Original mousepad.
- What resolution does EspiranTo play on?
- EspiranTo plays on 1280x960 (4:3) with Stretched display mode at 1000Hz on a ZOWIE XL2540.
- What is EspiranTo's crosshair code?
- EspiranTo's crosshair code is CSGO-SSLrk-S5jKU-HJsD4-yk58a-9ApEM. To apply it, open CS2, go to Settings → Crosshair → Share or Import, and paste the code.
- What is EspiranTo's HLTV rating?
- Across 324 tracked professional maps, EspiranTo holds a 1.06 HLTV rating with 73.42 ADR and a 69.22% KAST, on a 74–88 match record (45.7% win rate). Averages are drawn from professional matches via PandaScore.
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