g lex's avatar

g lex

76561198136916594 Steam ID
1394 hrs CS2 Hours
No VAC Ban
Analyzed by TrackBans AI on 07/18/2026 04:09
AI Cheat Probability
--%
Calculating...
Legit 0% Suspicious 50% Cheating 100%

AI Analysis Report

FACEIT ELO: 1000 · Level 4
Player Analysis
Aim ScoreNORMAL
76/100
+47% avg 52/100 for this ELO range
Headshot %NORMAL
46.6%
+11% avg 42.0% for this ELO range
AccuracySUSPICIOUS
20.7%
+74% avg 11.9% for this ELO range
FACEIT K/DNORMAL
0.98
+12% avg 0.87 for this ELO range
Reaction TimeNORMAL
0.615s
avg: 0.665s for this ELO range
KASTNORMAL
71.4%
avg: 67.9% for this ELO range
HLTV 2.0NORMAL
0.96
avg: 1.05 for this ELO range
Pre-AimNORMAL
10.6
avg: 10.2 for this ELO range
Time to KillNORMAL
1.083s
avg: 0.790s for this ELO range
Opening DuelsNORMAL
27.7%
avg: 48.8% for this ELO range
ADRNORMAL
76.9
avg: 77.4 for this ELO range
Win RateNORMAL
49.9%
avg: 50.7% for this ELO range
AWP AccNORMAL
40.9%
avg: 37.3% for this ELO range
PerformanceSUSPICIOUS
69.5
avg: 45.8 for this ELO range
Account TrustNORMAL
56.6
avg: 38.3 for this ELO range
Social RiskNORMAL
27.0
avg: 31.1 for this ELO range
avg for this ELO range
Data sourcesSteam ProfileGames ListStatsLeetifyFACEIT
(Probability: 0.12)

Supporting Evidence:

  • Natural Variance: Performance fluctuations are within normal human ranges
  • Clean Network: Social connections show low ban rates typical of legitimate 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?

g lex 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 1394 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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