Gundel "T-side" Gábor's avatar

Gundel "T-side" Gábor

76561198295400051 Steam ID
1787 hrs CS2 Hours
No VAC Ban
Analyzed by TrackBans AI on 05/02/2026 21:45
AI Cheat Probability
--%
Calculating...
Legit 0% Suspicious 50% Cheating 100%

AI Analysis Report

FACEIT ELO: 1291 · Level 6
CS2 Premier: 19,895
Player Analysis
Aim Score
27.6
+1% avg 27.3 for this ELO range
Headshot %
47.3%
+10% avg 43.0% for this ELO range
Accuracy
2.3%
-84% avg 14.3% for this ELO range
FACEIT K/D
1.33
+22% avg 1.09 for this ELO range
Reaction Time
0.638s
avg: 0.644s for this ELO range
KAST
72.5%
avg: 69.4% for this ELO range
HLTV 2.0
1.23
avg: 1.11 for this ELO range
Pre-Aim
12.5
avg: 9.9 for this ELO range
Time to Kill
0.703s
avg: 0.734s for this ELO range
Opening Duels
50.1%
avg: 50.8% for this ELO range
ADR
88.2
avg: 80.9 for this ELO range
Win Rate
51.4%
avg: 51.0% for this ELO range
AWP Acc
45.8%
avg: 36.6% for this ELO range
Performance
73.9
avg: 46.7 for this ELO range
Account Trust
60.5
avg: 42.2 for this ELO range
Social Risk
17.0
avg: 27.7 for this ELO range
This profile has been analyzed 2 times
Data sourcesSteam ProfileGames ListStatsLeetifyFACEIT
(Probability: 0.02)

Supporting Evidence:

  • Match History: Extensive history of 1930 matches suggests established legitimate play
  • 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?

Gundel "T-side" Gábor 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 1787 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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