Ras_Al_Ghul's avatar

Ras_Al_Ghul

76561199190599628 Steam ID
249 hrs CS2 Hours
No VAC Ban
Analyzed by TrackBans AI on 05/19/2026 05:33
AI Cheat Probability
--%
Calculating...
Legit 0% Suspicious 50% Cheating 100%
Model Confidence: --

AI Analysis Report

Player Analysis
Aim Score
21.9
-17% avg 26.2 for this ELO range
Headshot %
43.3%
+10% avg 39.3% for this ELO range
Accuracy
2.6%
-82% avg 14.6% for this ELO range
K/D Ratio
0.76
-27% avg 1.04 for this ELO range
Reaction Time
0.702s
avg: 0.665s for this ELO range
KAST
55.4%
avg: 65.8% for this ELO range
HLTV 2.0
0.52
avg: 1.01 for this ELO range
Pre-Aim
11.2
avg: 10.4 for this ELO range
Opening Duels
15.0%
avg: 48.8% for this ELO range
ADR
43.5
avg: 75.1 for this ELO range
Win Rate
47.2%
avg: 50.7% for this ELO range
AWP Acc
32.1%
avg: 36.8% for this ELO range
Performance
69.5
avg: 46.0 for this ELO range
Account Trust
15.1
avg: 36.7 for this ELO range
Social Risk
65.0
avg: 33.2 for this ELO range
Hours
249
avg: 912 for this ELO range
Data sourcesSteam ProfileGames ListStatsLeetify not registeredFACEIT
(Probability: 0.04)

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?

Ras_Al_Ghul 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 249 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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