Capone_X

76561198744575864 Steam ID

0 hrs CS2 Hours

No VAC Ban

Analyzed by TrackBans AI on 04/14/2026 18:34

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

24.7

-6% avg 26.2

Headshot %

39.2%

-13% avg 45.0%

Accuracy

0.0%

-100% avg 14.6%

K/D Ratio

1.01

-68% avg 3.15

Win Rate

48.3%

avg: 90.6%

MVP/Round

0.14

avg: 0.13

AWP Acc

51.0%

avg: 36.9%

AK-47 Acc

21.5%

avg: 18.0%

Deagle Acc

26.5%

avg: 25.4%

Performance

69.9

avg: 83.5

Account Trust

20.6

avg: 36.7

Social Risk

50.0

avg: 33.2

Data is sufficiently complete for a reliable prediction. ✅
Prediction Confidence: Very High based on strong statistical indicators, comprehensive Steam statistics, social network data.
(Probability: 0.19)

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: Multiple indicators suggest legitimate gameplay patterns

The evidence strongly supports this being a legitimate player. Remember that this is a statistical analysis and should be considered alongside other factors when making decisions.

This profile has been analyzed 3 times.

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?

Capone_X 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.