kubertS SKINS's avatar

kubertS SKINS

76561199138686923 Steam ID
2454 hrs CS2 Hours
No VAC Ban
Analyzed by TrackBans AI on 05/21/2026 20:18
AI Cheat Probability
--%
Calculating...
Legit 0% Suspicious 50% Cheating 100%

AI Analysis Report

FACEIT ELO: 2011 · Level 10
Player Analysis
Aim Score
32.6
+11% avg 29.3 for this ELO range
Headshot %
61.9%
+27% avg 48.8% for this ELO range
Accuracy
16.5%
+10% avg 15.0% for this ELO range
FACEIT K/D
1.27
+5% avg 1.20 for this ELO range
Reaction Time
0.699s
avg: 0.596s for this ELO range
KAST
69.5%
avg: 72.2% for this ELO range
HLTV 2.0
1.32
avg: 1.24 for this ELO range
Pre-Aim
13.6
avg: 9.2 for this ELO range
Time to Kill
0.718s
avg: 0.638s for this ELO range
Opening Duels
50.1%
avg: 55.4% for this ELO range
ADR
96.0
avg: 88.7 for this ELO range
Win Rate
48.0%
avg: 51.7% for this ELO range
AWP Acc
30.2%
avg: 37.6% for this ELO range
Performance
77.4
avg: 48.1 for this ELO range
Account Trust
52.4
avg: 45.8 for this ELO range
Social Risk
5.0
avg: 25.7 for this ELO range
Data sourcesSteam ProfileGames ListStatsLeetifyFACEIT
(Probability: 0.02)

Supporting Evidence:

  • Match History: Extensive history of 896 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?

kubertS SKINS 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 2454 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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