.DxlL  #phoon's avatar

.DxlL #phoon

76561198051894432 Steam ID
9192 hrs CS2 Hours
No VAC Ban
Analyzed by TrackBans AI on 03/27/2026 00:01
AI Cheat Probability
--%
Calculating...
Legit 0% Suspicious 50% Cheating 100%
Model Confidence: --

AI Analysis Report

Leetify Data: This user is not registered on Leetify. Analysis based on Steam data only.
Data is sufficiently complete for a reliable prediction. ✅
Prediction Confidence: Very High based on strong statistical indicators, comprehensive Steam statistics, social network data.
(Probability: 0.13)

I've completed a comprehensive analysis of this player's profile. Here's what I found:
Data Sources:
Steam StatsSocial

Concerning Indicators:

Social Network Risk: 11.9% of friends have VAC bans - significantly higher than typical players

Summary:

Risk Assessment: Multiple indicators suggest legitimate gameplay patterns

The evidence strongly supports this being a legitimate player. This assessment is based on pattern recognition and should be used as one factor in your evaluation.

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?

.DxlL #phoon 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 9192 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. 0-49% likely legit, 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.