-_-'s avatar

-_-

76561199376162999 Steam ID
3755 hrs CS2 Hours
No VAC Ban
Analyzed by TrackBans AI on 04/27/2026 22:52
AI Cheat Probability
--%
Calculating...
Legit 0% Suspicious 50% Cheating 100%

AI Analysis Report

FACEIT ELO: 1955 · Level 9
Player Analysis
Aim Score
30.9
-5% avg 32.4 for this ELO range
Headshot %
62.9%
+36% avg 46.3% for this ELO range
Accuracy
3.5%
-88% avg 28.6% for this ELO range
FACEIT K/D
1.06
-9% avg 1.17 for this ELO range
Reaction Time
0.662s
avg: 0.618s for this ELO range
Pre-Aim
9.8
avg: 9.5 for this ELO range
Opening Duels
60.1%
avg: 53.3% for this ELO range
Win Rate
49.8%
avg: 52.0% for this ELO range
AWP Acc
44.8%
avg: 36.6% for this ELO range
Performance
65.3
avg: 75.7 for this ELO range
Account Trust
35.4
avg: 45.1 for this ELO range
Social Risk
50.0
avg: 25.8 for this ELO range
FACEIT WR%
49.7%
avg: 53.1% for this ELO range
FACEIT HS%
57.0%
avg: 46.1% for this ELO range
FACEIT Matches
2511
Hours
3755
avg: 2252 for this ELO range
Data sourcesSteam ProfileGames ListStatsLeetify not registeredFACEIT
(Probability: 0.05)

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?

-_- 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 3755 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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