aguzstar's avatar

aguzstar

76561198839193314 Steam ID
8616 hrs CS2 Hours
No VAC Ban
Analyzed by TrackBans AI on 07/04/2026 06:51
AI Cheat Probability
--%
Calculating...
Legit 0% Suspicious 50% Cheating 100%

AI Analysis Report

FACEIT ELO: 2425 · Level 10
Player Analysis
Aim Score
90/100
+15% avg 78/100 for this ELO range
Headshot %
61.4%
+24% avg 49.5% for this ELO range
Accuracy
15.1%
+10% avg 13.7% for this ELO range
FACEIT K/D
1.26
+5% avg 1.20 for this ELO range
Reaction Time
0.572s
avg: 0.596s for this ELO range
KAST
76.4%
avg: 72.3% for this ELO range
HLTV 2.0
1.53
avg: 1.24 for this ELO range
Pre-Aim
9.2
avg: 9.2 for this ELO range
Opening Duels
52.6%
avg: 55.2% for this ELO range
ADR
104.5
avg: 88.8 for this ELO range
Win Rate
52.5%
avg: 51.7% for this ELO range
AWP Acc
42.3%
avg: 37.9% for this ELO range
Performance
83.2
avg: 48.1 for this ELO range
Account Trust
66.6
avg: 45.5 for this ELO range
Social Risk
6.0
avg: 26.2 for this ELO range
FACEIT WR%
53.1%
avg: 53.3% for this ELO range
Data sourcesSteam ProfileGames ListStatsLeetifyFACEIT
(Probability: 0.03)

Supporting Evidence:

  • Match History: Extensive history of 1696 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?

aguzstar 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 8616 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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