Dexter Mogger's avatar

Dexter Mogger

76561198348558921 Steam ID
3772 hrs CS2 Hours
No VAC Ban
Analyzed by TrackBans AI on 05/18/2026 17:16
AI Cheat Probability
--%
Calculating...
Legit 0% Suspicious 50% Cheating 100%
Model Confidence: --

AI Analysis Report

FACEIT ELO: 1860 · Level 9
CS2 Premier: 21,701
Player Analysis
Aim Score
32.4
+15% avg 28.2 for this ELO range
Headshot %
53.6%
+16% avg 46.3% for this ELO range
Accuracy
20.3%
+39% avg 14.6% for this ELO range
FACEIT K/D
1.17
-0% avg 1.17 for this ELO range
Reaction Time
0.576s
avg: 0.617s for this ELO range
KAST
72.0%
avg: 71.1% for this ELO range
HLTV 2.0
1.22
avg: 1.18 for this ELO range
Pre-Aim
8.5
avg: 9.5 for this ELO range
Time to Kill
0.586s
avg: 0.671s for this ELO range
Opening Duels
47.0%
avg: 53.3% for this ELO range
ADR
88.5
avg: 85.1 for this ELO range
Win Rate
52.1%
avg: 51.4% for this ELO range
AWP Acc
34.6%
avg: 36.6% for this ELO range
Performance
79.2
avg: 47.5 for this ELO range
Account Trust
65.2
avg: 45.1 for this ELO range
Social Risk
25.0
avg: 25.8 for this ELO range
Data sourcesSteam ProfileGames ListStatsLeetifyFACEIT
(Probability: 0.01)

Supporting Evidence:

  • Match History: Extensive history of 1890 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?

Dexter Mogger 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 3772 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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