♦☻ ARMES ☻♦'s avatar

♦☻ ARMES ☻♦

76561199185435511 Steam ID
2386 hrs CS2 Hours
No VAC Ban
Analyzed by TrackBans AI on 07/05/2026 21:42
AI Cheat Probability
--%
Calculating...
Legit 0% Suspicious 50% Cheating 100%

AI Analysis Report

FACEIT ELO: 983 · Level 4
Player Analysis
Aim Score
41/100
-20% avg 52/100 for this ELO range
Headshot %
42.7%
+2% avg 42.0% for this ELO range
Accuracy
11.7%
-1% avg 11.9% for this ELO range
FACEIT K/D
0.59
-32% avg 0.87 for this ELO range
Reaction Time
0.698s
avg: 0.665s for this ELO range
KAST
66.2%
avg: 67.9% for this ELO range
HLTV 2.0
0.96
avg: 1.05 for this ELO range
Pre-Aim
9.5
avg: 10.2 for this ELO range
Time to Kill
1.220s
avg: 0.790s for this ELO range
Opening Duels
42.3%
avg: 48.8% for this ELO range
ADR
75.5
avg: 77.4 for this ELO range
Win Rate
49.7%
avg: 50.7% for this ELO range
AWP Acc
32.7%
avg: 37.3% for this ELO range
Performance
65.5
avg: 45.8 for this ELO range
Account Trust
70.4
avg: 38.3 for this ELO range
Social Risk
25.0
avg: 31.1 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?

♦☻ ARMES ☻♦ 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 2386 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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