๐“‚๐“‚.๐’ฎ๐‘œ๐“‡๐“‡๐“Ž.?'s avatar

๐“‚๐“‚.๐’ฎ๐‘œ๐“‡๐“‡๐“Ž.?

76561199040068878 Steam ID
0 hrs CS2 Hours
No VAC Ban
Analyzed by TrackBans AI on 05/19/2026 16:46
AI Cheat Probability
--%
Calculating...
Legit 0% Suspicious 50% Cheating 100%
Model Confidence: --

AI Analysis Report

FACEIT ELO: 1807 · Level 9
Player Analysis
FACEIT K/D
1.21
+3% avg 1.17 for this ELO range
Reaction Time
0.67
+8% avg 0.62 for this ELO range
KAST
75.40
+6% avg 71.09 for this ELO range
HLTV 2.0
1.21
+3% avg 1.18 for this ELO range
Pre-Aim
9.6
avg: 9.5 for this ELO range
Time to Kill
0.635s
avg: 0.671s for this ELO range
Opening Duels
28.6%
avg: 53.3% for this ELO range
ADR
83.2
avg: 85.1 for this ELO range
Account Trust
20.0
avg: 45.1 for this ELO range
Social Risk
50.0
avg: 25.8 for this ELO range
FACEIT WR%
54.1%
avg: 53.1% for this ELO range
FACEIT HS%
47.0%
avg: 46.1% for this ELO range
FACEIT Matches
270
Data sourcesSteam ProfileGames List hiddenStats hiddenLeetify not registeredFACEIT
(Probability: 0.02)

Take Action

Review the analysis and decide your next steps.

This is a statistical analysis based on public data. Confidence is not 100% accurate. Results should be considered alongside other factors when making decisions.

FAQ

Frequently Asked Questions

What does TrackBans say about this player?

๐“‚๐“‚.๐’ฎ๐‘œ๐“‡๐“‡๐“Ž.? has been analyzed by our AI. The score is based on 180+ public stats, not gameplay demos.

How many CS2 hours does this profile have?

According to Steam, the account has logged 0 hours in Counter-Strike 2.

What does the percentage actually mean?

It reflects how closely this account's patterns match those of already-banned users. 0-29% low risk, 30-49% caution, 50-79% suspicious, 80-100% high risk.

Can the AI make mistakes?

Yes โ€” statistical models can yield false positives/negatives. If you believe the result is wrong, re-analyse after a few days; fresh data may change the outcome.

How reliable is TrackBans for CS2 cheat detection?

Our AI model achieves 86.29% F1-Score and 93.60% ROC-AUC, trained on 204,000+ profiles.

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