𝖕𝖆𝖇𝖑𝖔 π–Šπ–˜'s avatar

𝖕𝖆𝖇𝖑𝖔 π–Šπ–˜

76561199159203883 Steam ID
3294 hrs CS2 Hours
No VAC Ban
Analyzed by TrackBans AI on 04/09/2026 00:24
AI Cheat Probability
--%
Calculating...
Legit 0% Suspicious 50% Cheating 100%
Model Confidence: --

AI Analysis Report

The user's gameplay statistics are hidden. ❌
Leetify Data: Leetify service was unavailable. Analysis based on Steam data only.
One piece of critical data is hidden, so the prediction might be slightly less reliable. πŸ”˜
Prediction Confidence: Moderate based on social network data.
(Probability: 0.24)

Based on my examination of this player's statistics and patterns, here are my findings:
Data Sources:
Social

Supporting Evidence:

Clean Network: Social connections show low ban rates typical of legitimate players

Summary:

Risk Assessment: Mixed indicators present - some concerning patterns detected

The analysis reveals some patterns worth monitoring, but not definitive evidence of cheating. Consider this analysis as part of a broader assessment when evaluating this player.

This profile has been analyzed 1 time.

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?

𝖕𝖆𝖇𝖑𝖔 π–Šπ–˜ 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 3294 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 β€” 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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