vMMM-'s avatar

vMMM-

76561198352641860 Steam ID
4498 hrs CS2 Hours
No VAC Ban
Analyzed by TrackBans AI on 05/19/2026 20:16
AI Cheat Probability
--%
Calculating...
Legit 0% Suspicious 50% Cheating 100%
Model Confidence: --

AI Analysis Report

FACEIT ELO: 1851 · Level 9
Player Analysis
Aim Score
29.8
+6% avg 28.2 for this ELO range
Headshot %
53.9%
+16% avg 46.3% for this ELO range
Accuracy
16.4%
+12% avg 14.6% for this ELO range
FACEIT K/D
1.11
-5% avg 1.17 for this ELO range
Reaction Time
0.552s
avg: 0.617s for this ELO range
KAST
66.6%
avg: 71.1% for this ELO range
HLTV 2.0
1.11
avg: 1.18 for this ELO range
Pre-Aim
8.7
avg: 9.5 for this ELO range
Time to Kill
0.624s
avg: 0.671s for this ELO range
Opening Duels
50.8%
avg: 53.3% for this ELO range
ADR
86.1
avg: 85.1 for this ELO range
Win Rate
48.3%
avg: 51.4% for this ELO range
AWP Acc
30.9%
avg: 36.6% for this ELO range
Performance
77.6
avg: 47.5 for this ELO range
Account Trust
43.4
avg: 45.1 for this ELO range
Social Risk
40.0
avg: 25.8 for this ELO range
Data sourcesSteam ProfileGames ListStatsLeetify not registeredFACEIT
(Probability: 0.01)

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?

vMMM- 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 4498 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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