bebe_ayzer's avatar

bebe_ayzer

76561199496683754 Steam ID
1564 hrs CS2 Hours
No VAC Ban
Analyzed by TrackBans AI on 04/21/2026 23:47
AI Cheat Probability
--%
Calculating...
Legit 0% Suspicious 50% Cheating 100%

AI Analysis Report

FACEIT ELO: 1222 · Level 6
Player Analysis
Aim Score
24.1
-12% avg 27.3 for this ELO range
Headshot %
41.9%
-3% avg 43.0% for this ELO range
Accuracy
0.0%
-100% avg 14.3% for this ELO range
FACEIT K/D
1.04
-4% avg 1.09 for this ELO range
Win Rate
49.2%
avg: 51.4% for this ELO range
MVP/Round
0.12
avg: 0.14 for this ELO range
AWP Acc
41.4%
avg: 36.7% for this ELO range
AK-47 Acc
21.0%
avg: 18.8% for this ELO range
Deagle Acc
28.5%
avg: 26.1% for this ELO range
Performance
64.2
avg: 74.0 for this ELO range
Account Trust
31.2
avg: 42.2 for this ELO range
Social Risk
50.0
avg: 27.7 for this ELO range
FACEIT WR%
49.2%
avg: 54.4% for this ELO range
FACEIT HS%
38.0%
avg: 43.6% for this ELO range
FACEIT Matches
303
Hours
1564
avg: 1453 for this ELO range
Data sourcesSteam ProfileGames ListStatsLeetify not registeredFACEIT
(Probability: 0.09)

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?

bebe_ayzer 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 1564 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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