gloop

76561198125933172 Steam ID

146 hrs CS2 Hours

No VAC Ban

Analyzed by TrackBans AI on 04/14/2026 21:56

AI Cheat Probability

--%

Calculating...

Legit 0% Suspicious 50% Cheating 100%

Evidence & Analysis

AI Analysis Report

Leetify Data: This user is not registered on Leetify. Analysis based on Steam data only.

FACEIT Data: This user has no FACEIT account.

No FACEIT data

Player Analysis

Aim Score

19.0

-28% avg 26.2

Headshot %

16.6%

-63% avg 45.0%

Accuracy

10.4%

-28% avg 14.6%

K/D Ratio

1.06

-66% avg 3.15

Win Rate

51.3%

avg: 90.6%

MVP/Round

0.07

avg: 0.13

AWP Acc

41.2%

avg: 36.9%

AK-47 Acc

16.4%

avg: 18.0%

Deagle Acc

20.3%

avg: 25.4%

Performance

68.8

avg: 83.5

Account Trust

41.8

avg: 36.7

Social Risk

40.0

avg: 33.2

Hours

146

avg: 911

Data is sufficiently complete for a reliable prediction. ✅
Prediction Confidence: High based on comprehensive Steam statistics, social network data.
(Probability: 0.28)

After analyzing the available data, I can provide you with these insights:

Data Sources:

Steam StatsSocial

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. 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.

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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?

gloop 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 146 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.