Anchar's avatar

Anchar

76561198184171209 Steam ID
2415 hrs CS2 Hours
No VAC Ban
Analyzed by TrackBans AI on 07/05/2026 21:05
AI Cheat Probability
--%
Calculating...
Legit 0% Suspicious 50% Cheating 100%

AI Analysis Report

FACEIT ELO: 1146 · Level 5
CS2 Premier: 15,978
Player Analysis
Aim Score
89/100
+48% avg 60/100 for this ELO range
Headshot %
38.6%
-11% avg 43.6% for this ELO range
Accuracy
13.7%
+5% avg 13.1% for this ELO range
FACEIT K/D
1.12
+3% avg 1.09 for this ELO range
Reaction Time
0.618s
avg: 0.644s for this ELO range
KAST
74.5%
avg: 69.5% for this ELO range
HLTV 2.0
1.32
avg: 1.11 for this ELO range
Pre-Aim
7.6
avg: 9.9 for this ELO range
Time to Kill
1.023s
avg: 0.739s for this ELO range
Opening Duels
49.6%
avg: 50.5% for this ELO range
ADR
94.0
avg: 81.0 for this ELO range
Win Rate
51.0%
avg: 51.0% for this ELO range
AWP Acc
46.9%
avg: 36.8% for this ELO range
Performance
74.5
avg: 46.7 for this ELO range
Account Trust
58.5
avg: 41.7 for this ELO range
Social Risk
33.2
avg: 28.5 for this ELO range
Data sourcesSteam ProfileGames ListStatsLeetifyFACEIT
(Probability: 0.04)

Concerning Indicators:

  • Social Network Risk: 16.4% of friends have VAC bans - significantly higher than typical players

Supporting Evidence:

  • Match History: Extensive history of 238 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?

Anchar 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 2415 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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