olex_53's avatar

olex_53

76561198327963360 Steam ID
738 hrs CS2 Hours
No VAC Ban
Analyzed by TrackBans AI on 07/06/2026 22:06
AI Cheat Probability
--%
Calculating...
Legit 0% Suspicious 50% Cheating 100%

AI Analysis Report

FACEIT ELO: 466 · Level 1
CS2 Premier: 3,849
Player Analysis
Aim Score
50/100
+13% avg 45/100 for this ELO range
Headshot %
31.9%
-23% avg 41.2% for this ELO range
Accuracy
0.3%
-98% avg 11.8% for this ELO range
FACEIT K/D
1.10
+31% avg 0.84 for this ELO range
Reaction Time
0.652s
avg: 0.682s for this ELO range
KAST
62.9%
avg: 66.9% for this ELO range
HLTV 2.0
0.78
avg: 1.01 for this ELO range
Pre-Aim
11.1
avg: 10.5 for this ELO range
Time to Kill
1.179s
avg: 0.813s for this ELO range
Opening Duels
31.2%
avg: 47.0% for this ELO range
ADR
60.3
avg: 74.7 for this ELO range
Win Rate
49.0%
avg: 49.9% for this ELO range
AWP Acc
34.4%
avg: 36.4% for this ELO range
Performance
52.4
avg: 44.3 for this ELO range
Account Trust
48.8
avg: 38.5 for this ELO range
Social Risk
31.0
avg: 30.7 for this ELO range
Data sourcesSteam ProfileGames ListStatsLeetifyFACEIT
(Probability: 0.02)

Supporting Evidence:

  • Match History: Extensive history of 321 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?

olex_53 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 738 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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