sNaky's avatar

sNaky

76561199188449596 Steam ID
1690 hrs CS2 Hours
No VAC Ban
Analyzed by TrackBans AI on 05/20/2026 21:01
AI Cheat Probability
--%
Calculating...
Legit 0% Suspicious 50% Cheating 100%

AI Analysis Report

FACEIT ELO: 1716 · Level 8
CS2 Premier: 19,882
Player Analysis
Aim Score
34.7
+23% avg 28.2 for this ELO range
Headshot %
60.7%
+31% avg 46.3% for this ELO range
Accuracy
8.2%
-44% avg 14.6% for this ELO range
FACEIT K/D
1.64
+40% avg 1.17 for this ELO range
Reaction Time
0.647s
avg: 0.617s for this ELO range
KAST
70.2%
avg: 71.1% for this ELO range
HLTV 2.0
1.26
avg: 1.18 for this ELO range
Pre-Aim
8.3
avg: 9.5 for this ELO range
Time to Kill
0.607s
avg: 0.671s for this ELO range
Opening Duels
54.2%
avg: 53.3% for this ELO range
ADR
84.0
avg: 85.1 for this ELO range
Win Rate
52.6%
avg: 51.4% for this ELO range
AWP Acc
47.0%
avg: 36.6% for this ELO range
Performance
99.0
avg: 47.5 for this ELO range
Account Trust
40.5
avg: 45.1 for this ELO range
Social Risk
30.0
avg: 25.8 for this ELO range
Data sourcesSteam ProfileGames ListStatsLeetifyFACEIT
(Probability: 0.02)

Supporting Evidence:

  • Match History: Extensive history of 746 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?

sNaky 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 1690 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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