#Kingy

76561197996568761 Steam ID

7102 hrs CS2 Hours

No VAC Ban

Analyzed by TrackBans AI on 04/13/2026 03:07

AI Cheat Probability

--%

Calculating...

Legit 0% Suspicious 50% Cheating 100%

Model Confidence: --

Evidence & Analysis

AI Analysis Report

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: 2409 | Level: 10.

FACEIT ELO: 2409 · Level 10

Player Analysis

FACEIT K/D

1.03

-14% avg 1.20

Social Risk

1.0

-96% avg 25.7

N/A

Account Trust

71.2

avg: 45.8

Social Risk

1.0

avg: 25.7

FACEIT WR%

50.2%

avg: 53.3%

FACEIT HS%

41.0%

avg: 47.6%

FACEIT Matches

3051

Hours

7102

avg: 3053

One piece of critical data is hidden, so the prediction might be slightly less reliable. 🔘
Prediction Confidence: Moderate based on social network data.
(Probability: 0.23)

My analysis has revealed several key patterns. Let me break down what I discovered:

Data Sources:

SocialFACEIT ProfileFACEIT StatsFACEIT Maps

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.

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Review the analysis and decide your next steps.

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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?

#Kingy 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 7102 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.