m1 ;.'s avatar

m1 ;.

76561198204989000 Steam ID
0 hrs CS2 Hours
No VAC Ban
Analyzed by TrackBans AI on 05/17/2026 14:58
AI Cheat Probability
--%
Calculating...
Legit 0% Suspicious 50% Cheating 100%
Model Confidence: --

AI Analysis Report

FACEIT ELO: 1960 · Level 9
Player Analysis
Aim Score
28.3
+0% avg 28.2 for this ELO range
Headshot %
44.4%
-4% avg 46.3% for this ELO range
Accuracy
14.6%
+0% avg 14.6% for this ELO range
FACEIT K/D
1.10
-6% avg 1.17 for this ELO range
Reaction Time
0.597s
avg: 0.617s for this ELO range
KAST
70.5%
avg: 71.1% for this ELO range
HLTV 2.0
1.10
avg: 1.18 for this ELO range
Pre-Aim
10.2
avg: 9.5 for this ELO range
Time to Kill
0.672s
avg: 0.671s for this ELO range
Opening Duels
40.7%
avg: 53.3% for this ELO range
ADR
82.0
avg: 85.1 for this ELO range
Win Rate
52.1%
avg: 51.4% for this ELO range
AWP Acc
35.2%
avg: 36.6% for this ELO range
Performance
77.4
avg: 47.5 for this ELO range
Account Trust
30.0
avg: 45.1 for this ELO range
Social Risk
50.0
avg: 25.8 for this ELO range
Data sourcesSteam ProfileGames List hiddenStatsLeetifyFACEIT
(Probability: 0.01)

Supporting Evidence:

  • Match History: Extensive history of 2300 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?

m1 ;. 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 — 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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