FaTalGun_Neyhlo's avatar

FaTalGun_Neyhlo

76561198359561271 Steam ID
178 hrs CS2 Hours
No VAC Ban
Analyzed by TrackBans AI on 05/10/2026 19:43
AI Cheat Probability
--%
Calculating...
Legit 0% Suspicious 50% Cheating 100%

AI Analysis Report

Player Analysis
Aim Score
28.2
+8% avg 26.2 for this ELO range
Headshot %
23.2%
-41% avg 39.3% for this ELO range
Accuracy
24.7%
+69% avg 14.6% for this ELO range
K/D Ratio
1.04
+0% avg 1.04 for this ELO range
Reaction Time
0.759s
avg: 0.665s for this ELO range
Pre-Aim
10.0
avg: 10.4 for this ELO range
Opening Duels
40.5%
avg: 48.8% for this ELO range
Win Rate
48.1%
avg: 50.7% for this ELO range
AWP Acc
40.8%
avg: 36.8% for this ELO range
Performance
72.7
avg: 46.0 for this ELO range
Account Trust
45.0
avg: 36.7 for this ELO range
Social Risk
20.0
avg: 33.2 for this ELO range
Hours
178
avg: 912 for this ELO range
Data sourcesSteam ProfileGames ListStatsLeetify not registeredFACEIT no account
(Probability: 0.14)

Supporting Evidence:

  • 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?

FaTalGun_Neyhlo 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 178 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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