₳Ɽ₮ɆӾ's avatar

₳Ɽ₮ɆӾ

76561198243852584 Steam ID
0 hrs CS2 Hours
No VAC Ban
Analyzed by TrackBans AI on 04/17/2026 00:47
AI Cheat Probability
--%
Calculating...
Legit 0% Suspicious 50% Cheating 100%
Model Confidence: --

AI Analysis Report

The user's games list is hidden. ❌
The user's gameplay statistics are hidden. ❌
Leetify Data: Leetify service was unavailable. Analysis based on Steam data only.
FACEIT Data: Enhanced analysis using FACEIT data | ELO: 953 | Level: 4.
FACEIT ELO: 953 · Level 4
Player Analysis
FACEIT K/D
0.67
-23% avg 0.87 for this ELO range
Social Risk
50.0
+63% avg 30.7 for this ELO range
N/A
N/A
N/A
N/A
N/A
N/A
Account Trust
22.2
avg: 38.6 for this ELO range
Social Risk
50.0
avg: 30.7 for this ELO range
FACEIT WR%
50.0%
avg: 43.8% for this ELO range
FACEIT HS%
45.0%
avg: 42.2% for this ELO range
FACEIT Matches
10
Two key data points are hidden. Please treat this prediction with caution. ⚠
Prediction Confidence: Moderate based on strong statistical indicators.
(Probability: 0.19)

I've processed multiple data sources to evaluate this profile. Here's my assessment:
Data Sources:
FACEIT ProfileFACEIT StatsFACEIT Maps

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 2 times.

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?

₳Ɽ₮ɆӾ 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 0 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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