Snus's avatar

Snus

76561199421667919 Steam ID
759 hrs CS2 Hours
No VAC Ban
Analyzed by TrackBans AI on 05/28/2026 01:22
AI Cheat Probability
--%
Calculating...
Legit 0% Suspicious 50% Cheating 100%

AI Analysis Report

FACEIT ELO: 1152 · Level 5
Player Analysis
Aim Score
29.8
+9% avg 27.3 for this ELO range
Headshot %
44.5%
+3% avg 43.0% for this ELO range
Accuracy
15.9%
+11% avg 14.3% for this ELO range
FACEIT K/D
1.07
-2% avg 1.09 for this ELO range
Reaction Time
0.605s
avg: 0.644s for this ELO range
KAST
63.8%
avg: 69.4% for this ELO range
HLTV 2.0
0.96
avg: 1.11 for this ELO range
Pre-Aim
8.7
avg: 9.9 for this ELO range
Time to Kill
0.869s
avg: 0.734s for this ELO range
Opening Duels
39.1%
avg: 50.8% for this ELO range
ADR
71.7
avg: 80.9 for this ELO range
Win Rate
50.8%
avg: 51.0% for this ELO range
AWP Acc
39.7%
avg: 36.6% for this ELO range
Performance
70.3
avg: 46.7 for this ELO range
Account Trust
39.4
avg: 42.2 for this ELO range
Social Risk
35.3
avg: 27.7 for this ELO range
Data sourcesSteam ProfileGames ListStatsLeetifyFACEIT
(Probability: 0.01)

Concerning Indicators:

  • Social Network Risk: 10.5% of friends have VAC bans - significantly higher than typical players

Supporting Evidence:

  • Match History: Extensive history of 204 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?

Snus 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 759 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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