-t6mmu's avatar

-t6mmu

76561198814594043 Steam ID
462 hrs CS2 Hours
No VAC Ban
Analyzed by TrackBans AI on 07/02/2026 17:20
AI Cheat Probability
--%
Calculating...
Legit 0% Suspicious 50% Cheating 100%

AI Analysis Report

FACEIT ELO: 1151 · Level 5
Player Analysis
Aim Score
62/100
+3% avg 60/100 for this ELO range
Headshot %
50.7%
+16% avg 43.6% for this ELO range
Accuracy
16.4%
+25% avg 13.1% for this ELO range
FACEIT K/D
1.12
+3% avg 1.09 for this ELO range
Reaction Time
0.636s
avg: 0.644s for this ELO range
KAST
66.6%
avg: 69.5% for this ELO range
HLTV 2.0
1.10
avg: 1.11 for this ELO range
Pre-Aim
10.5
avg: 9.9 for this ELO range
Time to Kill
1.010s
avg: 0.739s for this ELO range
Opening Duels
36.3%
avg: 50.5% for this ELO range
ADR
78.6
avg: 81.0 for this ELO range
Win Rate
51.1%
avg: 51.0% for this ELO range
AWP Acc
39.6%
avg: 36.8% for this ELO range
Performance
73.1
avg: 46.7 for this ELO range
Account Trust
24.2
avg: 41.7 for this ELO range
Social Risk
55.0
avg: 28.5 for this ELO range
Data sourcesSteam ProfileGames ListStatsLeetify not registeredFACEIT
(Probability: 0.02)

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?

-t6mmu 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 462 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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