GumCuzzler's avatar

GumCuzzler

76561199832418729 Steam ID
696 hrs CS2 Hours
YES VAC Ban
Analyzed by TrackBans AI on 05/20/2026 02:43
AI Cheat Probability
--%
Calculating...
Legit 0% Suspicious 50% Cheating 100%
Model Confidence: --

AI Analysis Report

⚠️1 VAC ban — likely from another game
FACEIT ELO: 717 · Level 2
CS2 Premier: 14,899
Player Analysis
Aim Score
24.7
-5% avg 26.0 for this ELO range
Headshot %
51.3%
+25% avg 40.9% for this ELO range
FACEIT K/D
0.75
-11% avg 0.84 for this ELO range
Reaction Time
0.64
-6% avg 0.68 for this ELO range
KAST
75.7%
avg: 66.9% for this ELO range
HLTV 2.0
1.51
avg: 1.01 for this ELO range
Pre-Aim
7.8
avg: 10.5 for this ELO range
Time to Kill
0.721s
avg: 0.809s for this ELO range
Opening Duels
53.3%
avg: 47.2% for this ELO range
ADR
106.3
avg: 74.7 for this ELO range
Win Rate
51.8%
avg: 49.8% for this ELO range
AWP Acc
32.9%
avg: 36.2% for this ELO range
Performance
75.7
avg: 44.4 for this ELO range
Account Trust
43.9
avg: 38.7 for this ELO range
Social Risk
30.0
avg: 30.3 for this ELO range
FACEIT WR%
11.1%
avg: 38.9% for this ELO range
Data sourcesSteam ProfileGames ListStatsLeetifyFACEIT
(Probability: 1.00)

Supporting Evidence:

  • Match History: Extensive history of 572 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?

GumCuzzler 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 696 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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