Basur Emici's avatar

Basur Emici

76561199642949269 Steam ID
497 hrs CS2 Hours
No VAC Ban
Analyzed by TrackBans AI on 04/25/2026 21:25
AI Cheat Probability
--%
Calculating...
Legit 0% Suspicious 50% Cheating 100%

AI Analysis Report

FACEIT ELO: 1166 · Level 5
Player Analysis
Aim Score
27.1
-1% avg 27.3 for this ELO range
Headshot %
49.9%
+16% avg 43.0% for this ELO range
Accuracy
0.0%
-100% avg 14.3% for this ELO range
FACEIT K/D
1.57
+45% avg 1.09 for this ELO range
KAST
72.6%
avg: 69.4% for this ELO range
HLTV 2.0
1.41
avg: 1.11 for this ELO range
Time to Kill
0.648s
avg: 0.735s for this ELO range
ADR
101.9
avg: 80.9 for this ELO range
Win Rate
54.3%
avg: 51.4% for this ELO range
AWP Acc
45.6%
avg: 36.7% for this ELO range
Performance
91.8
avg: 74.0 for this ELO range
Account Trust
24.6
avg: 42.2 for this ELO range
Social Risk
55.0
avg: 27.7 for this ELO range
FACEIT WR%
58.1%
avg: 54.4% for this ELO range
FACEIT HS%
44.0%
avg: 43.6% for this ELO range
FACEIT Matches
31
Data sourcesSteam ProfileGames ListStatsLeetify unavailableFACEIT
(Probability: 0.08)

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?

Basur Emici 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 497 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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