🇧🇷 cheloCS2 Settings, Crosshair & Config
Marcelo Cespedes
Settings last verified

Crosshair code
CSGO-6tjpp-Xb4jw-36BxJ-CMqi2-HMzMMchelo is a professional CS2 rifler currently playing for Imperial Esports from Brazil. chelo plays with a high sensitivity setup at 1600 eDPI (400 DPI × 4 sens), which is above the pro average of 846. chelo uses 1280x960 resolution (5:4 Black Bars) on a ZOWIE XL2586X+, paired with a Pulsar Xlite V3 Es Black. Over their last 1179 tracked maps, chelo holds a 1.11 HLTV rating.
chelo's eDPI of 1600 (400 DPI × 4 sensitivity) sits at the 98th 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.
chelo plays at 1280x960 (5:4), a resolution 57% of tracked pros use. Native-style setups prioritise the widest possible field of view and the cleanest image over the enlarged models of stretched 4:3.
The crosshair (size 3) is larger than the pro median of 1, in custom. 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.
chelo's Pulsar Xlite V3 Es Black is an unusual pick at the top level — few tracked pros use it, which says more about hand shape and grip than quality. The full peripheral list below links each item to every other pro using it.
Mouse & Sensitivity Settings
Sensitivity
Mouse & Mousepad
Crosshair Settings
CSGO-6tjpp-Xb4jw-36BxJ-CMqi2-HMzMMAdvanced Crosshair Settings
Video & Display Settings
Display
Advanced Video
Viewmodel & Bob Settings
Viewmodel
Console Commands
viewmodel_fov 60; viewmodel_offset_x 2.5; viewmodel_offset_y 0; viewmodel_offset_z 1.5Weapon Bob
Radar & HUD Settings
Radar
HUD
Config & Download
Download chelo's complete CS2 config as an autoexec file, or copy all console commands at once.
// chelo's CS2 Config — Generated by CSDB.gg // https://csdb.gg/player/chelo/ // Sensitivity sensitivity "4" zoom_sensitivity_ratio_mouse "1" // Crosshair cl_crosshairstyle "4" cl_crosshairsize "3" cl_crosshairgap "-2" cl_crosshairthickness "1.5" cl_crosshairdot "0" cl_crosshair_drawoutline "0" // Viewmodel viewmodel_fov "60" viewmodel_offset_x "2.5" viewmodel_offset_y "0" viewmodel_offset_z "1.5" // Launch Options: -freq 240 -high -console -nojoy
Full Gear & Peripherals
chelo's Weapon Skins
chelo's Inventory
chelo's CS2 inventory is currently worth $1,312.76 across 78 items at live marketplace prices. Updated Jul 28, 2026.
PC Specs
Launch Options
-freq 240 -high -console -nojoychelo Performance Stats
Career averages from professional matches, powered by PandaScore.
Performance data from professional matches via PandaScore. Averages over the last 1179 tracked maps.
Recent Matches
Recent match results for this player's team.
Imperial Esports Teammates
Imperial Esports roster & team settings →Players With Similar Settings
Frequently Asked Questions
- What sensitivity does chelo use in CS2?
- chelo uses 400 DPI with 4 in-game sensitivity, resulting in 1600 eDPI. This translates to approximately 26 cm per 360-degree turn. This is above the pro average of 846 eDPI, suggesting a preference for faster target acquisition.
- What mouse does chelo use?
- chelo currently uses the Pulsar Xlite V3 Es Black at 400 DPI with a 1000Hz polling rate, paired with a ZOWIE G-SR-SE Bi mousepad.
- What resolution does chelo play on?
- chelo plays on 1280x960 (5:4) with Black Bars display mode at 600Hz on a ZOWIE XL2586X+.
- What is chelo's crosshair code?
- chelo's crosshair code is CSGO-6tjpp-Xb4jw-36BxJ-CMqi2-HMzMM. To apply it, open CS2, go to Settings → Crosshair → Share or Import, and paste the code.
- What is chelo's HLTV rating?
- Across 1179 tracked professional maps, chelo holds a 1.11 HLTV rating with 74.72 ADR and a 71.94% KAST, on a 327–241 match record (57.6% win rate). Averages are drawn from professional matches via PandaScore.
