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donk666

76561198972463731 Steam ID
436 hrs CS2 Hours
YES VAC Ban
Analyzed by TrackBans AI on 08/26/2026 08:42
AI Cheat Probability
--%
Calculating...
Legit 0% Suspicious 50% Cheating 100%

AI Analysis Report

⚠️1 VAC ban on record
FACEIT ELO: 918 · Level 4
Player Analysis
Aim ScoreSUSPICIOUS
94/100
+81% avg 52/100 for this ELO range
Headshot %NORMAL
44.1%
+5% avg 42.0% for this ELO range
AccuracyNORMAL
1.6%
-86% avg 11.9% for this ELO range
FACEIT K/DNORMAL
0.29
-67% avg 0.87 for this ELO range
Reaction TimeSUSPICIOUS
0.505s
avg: 0.665s for this ELO range
KASTELEVATED
78.6%
avg: 67.9% for this ELO range
HLTV 2.0SUSPICIOUS
1.88
avg: 1.05 for this ELO range
Pre-AimSUSPICIOUS
6.7
avg: 10.2 for this ELO range
Time to KillNORMAL
0.892s
avg: 0.790s for this ELO range
Opening DuelsELEVATED
59.4%
avg: 48.8% for this ELO range
ADRSUSPICIOUS
128.3
avg: 77.4 for this ELO range
Win RateNORMAL
57.1%
avg: 50.7% for this ELO range
AWP AccELEVATED
54.7%
avg: 37.3% for this ELO range
PerformanceSUSPICIOUS
95.7
avg: 45.8 for this ELO range
Account TrustSUSPICIOUS
26.7
avg: 38.3 for this ELO range
Social RiskSUSPICIOUS
48.3
avg: 31.1 for this ELO range
avg for this ELO range
Data sourcesSteam ProfileGames ListStatsLeetifyFACEIT
(Probability: 0.67)

Concerning Indicators:

  • Social Network Risk: 16.7% of friends have VAC bans - significantly higher than typical players

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?

donk666 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 436 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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