O-W-L's avatar

O-W-L

76561198096214933 Steam ID
917 hrs CS2 Hours
No VAC Ban
Analyzed by TrackBans AI on 07/06/2026 20:32
AI Cheat Probability
--%
Calculating...
Legit 0% Suspicious 50% Cheating 100%

AI Analysis Report

Player Analysis
Aim Score
27/100
-49% avg 53/100 for this ELO range
Headshot %
29.4%
-26% avg 39.6% for this ELO range
Accuracy
15.7%
+12% avg 14.0% for this ELO range
K/D Ratio
1.01
-2% avg 1.03 for this ELO range
Reaction Time
0.664s
avg: 0.665s for this ELO range
KAST
65.6%
avg: 65.8% for this ELO range
HLTV 2.0
1.02
avg: 1.01 for this ELO range
Pre-Aim
11.2
avg: 10.4 for this ELO range
Time to Kill
1.177s
avg: 0.821s for this ELO range
Opening Duels
37.0%
avg: 48.7% for this ELO range
ADR
75.8
avg: 75.2 for this ELO range
Win Rate
49.2%
avg: 50.7% for this ELO range
AWP Acc
33.8%
avg: 36.9% for this ELO range
Performance
71.1
avg: 46.0 for this ELO range
Account Trust
49.5
avg: 36.7 for this ELO range
Social Risk
30.0
avg: 33.2 for this ELO range
Data sourcesSteam ProfileGames ListStatsLeetify not registeredFACEIT no account
(Probability: 0.07)

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?

O-W-L 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 917 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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