z3rb's avatar

z3rb

76561198831973643 Steam ID
1981 hrs CS2 Hours
No VAC Ban
Analyzed by TrackBans AI on 05/18/2026 04:59
AI Cheat Probability
--%
Calculating...
Legit 0% Suspicious 50% Cheating 100%
Model Confidence: --

AI Analysis Report

FACEIT ELO: 604 · Level 2
CS2 Premier: 11,298
Player Analysis
Aim Score
29.5
+13% avg 26.0 for this ELO range
Headshot %
47.8%
+17% avg 40.9% for this ELO range
Accuracy
12.3%
-5% avg 12.9% for this ELO range
FACEIT K/D
0.73
-13% avg 0.84 for this ELO range
Reaction Time
0.730s
avg: 0.682s for this ELO range
KAST
65.4%
avg: 66.9% for this ELO range
HLTV 2.0
0.87
avg: 1.01 for this ELO range
Pre-Aim
10.2
avg: 10.5 for this ELO range
Time to Kill
0.677s
avg: 0.809s for this ELO range
Opening Duels
39.8%
avg: 47.2% for this ELO range
ADR
64.4
avg: 74.7 for this ELO range
Win Rate
48.4%
avg: 49.8% for this ELO range
AWP Acc
41.8%
avg: 36.2% for this ELO range
Performance
63.9
avg: 44.4 for this ELO range
Account Trust
45.3
avg: 38.7 for this ELO range
Social Risk
31.2
avg: 30.3 for this ELO range
Data sourcesSteam ProfileGames ListStatsLeetifyFACEIT
(Probability: 0.01)

Concerning Indicators:

  • Social Network Risk: 12.5% of friends have VAC bans - significantly higher than typical players

Supporting Evidence:

  • Match History: Extensive history of 492 matches suggests established legitimate play
  • Natural Variance: Performance fluctuations are within normal human ranges

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?

z3rb 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 1981 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 — 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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