Pro Team

9 Pandas

Full settings breakdown for 2 9 Pandas players — crosshair codes, sensitivity, resolution, and gear.

2Players
840Avg eDPI
800880eDPI Range
1920x1080Top Res
16:9Top Aspect
Logitech G Pro X Superlight 2 Dex BlackTop Mouse

9 Pandas CS2 Settings

Full settings breakdown for 2 9 Pandas players — crosshair codes, sensitivity, resolution, and gear. Compare configs side by side and copy settings instantly.

2Players
840Avg eDPI
1920x1080Top Resolution
Logitech G Pro X Superlight 2 Dex BlackTop Mouse
800880eDPI Range
16:9Top Aspect Ratio

Player Settings

Alv

🇷🇺 Alv

RiflerRussia
400DPI
2Sens
800eDPI
1920x108016:9 Native
800 eDPI — Medium sens
Alv Settings & Crosshair →
Krad

🇷🇺 Krad

RiflerRussia
800DPI
1.1Sens
880eDPI
1280x9604:3 Black Bars
880 eDPI — Medium sens
Krad Settings & Crosshair →

9 Pandas Settings Comparison

Side-by-side comparison of all 9 Pandas players' sensitivity, resolution, crosshair, and gear.

PlayerRoleDPISenseDPIResolutionAspectDisplayRefreshMouseMousepadKeyboardHeadsetMonitor
🇷🇺 AlvRifler40028001920x108016:9Native360Hz
🇷🇺 KradRifler8001.18801280x9604:3Black Bars240HzLogitech G Pro X Superlight 2 Dex BlackArtisan Type-99 MatchaMeletrix BOOG75HyperX Cloud IIZOWIE XL2546K
Team Avg6001.558401920x108016:9Logitech G Pro X Superlight 2 Dex Black

9 Pandas Playstyle Profile

How the roster plays, computed from the settings above and compared against the pro-player average.

840Avg eDPIat pro avg (840)
800880eDPI Range
BalancedSens Profile
0%Stretched Res50% native · 1 black bars
1920x1080Top Resolution1 of 2 players

9 Pandas is a balanced team: the roster averages 840 eDPI, right at the pro average of 840, with individual setups ranging from 800 to 880. The roster avoids stretched resolutions entirely (1 use black bars), and 1920x1080 is the most common resolution.

9 Pandas Crosshair Codes

Copy any 9 Pandas player's crosshair code and paste it in CS2 settings.

Live Performance Stats

Real-time player performance data from professional matches, powered by PandaScore.

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Recent Matches

Recent match results, powered by PandaScore.

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Competitive Performance

Match record, map pool, and round statistics from professional play, powered by PandaScore.

56.8%Win Rate184140 record
324Maps Playedtracked matches
52.5%CT Win Ratedefensive rounds
51.7%T Win Rateattacking rounds

Map Pool

MapPlayedWin RateCT%T%Pick RateBan Rate
AncientAncient6264 (126)49.2%51.1%49.9%6%33%
NukeNuke6849 (117)58.1%57.2%49.8%26%7%
MirageMirage6054 (114)52.6%54.3%47.2%5%30%
AnubisAnubis6151 (112)54.5%43.6%60.1%6%34%
OverpassOverpass6038 (98)61.2%56.4%50.2%10%1%
InfernoInferno5036 (86)58.1%51.9%50.7%6%25%
Dust2Dust24022 (62)64.5%54.2%55.9%22%4%

9 Pandas have played 324 tracked matches with a 56.8% win rate. Their strongest map is Dust2 (64.5%) and weakest is Ancient (49.2%).

Frequently Asked Questions

What sensitivity do 9 Pandas players use?
9 Pandas players use an average eDPI of 840, which is at the global pro average of 840. The team's eDPI ranges from 800 to 880. Most players on the roster use 400 DPI as their hardware setting.
What resolution does 9 Pandas use in CS2?
The most common resolution on 9 Pandas is 1920x1080 (16:9). 1 use black bars, and 1 use native resolution.
What mouse does 9 Pandas use?
The most popular mouse on 9 Pandas is the Logitech G Pro X Superlight 2 Dex Black. Each player has their own preferred peripherals, and you can find their exact gear listed on this page with links to purchase.
What is 9 Pandas's best map in CS2?
Across 324 tracked matches, 9 Pandas's strongest map is Dust2 with a 64.5% win rate (40–22 over 62 played). Their weakest is Ancient at 49.2%. Overall they hold a 56.8% match win rate.
Should I copy 9 Pandas's settings?
9 Pandas's settings are a great reference point, especially for understanding what works at the highest level of CS2. However, the best approach is to use their settings as a starting point and adjust based on your own comfort, desk space, and playstyle. Focus on staying within the team's eDPI range (800–880) and give any changes at least 2 weeks of practice.

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