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twojojcieczpodlasiaskins.army's avatar

twojojcieczpodlasiaskins.army

76561199178659594 Steam ID
59 hrs CS2 Hours
No VAC Ban
Analyzed by TrackBans AI on 10/04/2026 11:24
AI Cheat Probability
--%
Calculating...
Legit 0% Suspicious 50% Cheating 100%

AI Analysis Report

Player Analysis
Headshot %NORMAL
40.5%
+2% avg 39.6% for this ELO range
AccuracyNORMAL
0.1%
-99% avg 14.0% for this ELO range
K/D RatioNORMAL
1.01
-2% avg 1.03 for this ELO range
Win RateNORMAL
54.7%
+8% avg 50.7% for this ELO range
AWP AccELEVATED
43.8%
avg: 36.9% for this ELO range
PerformanceSUSPICIOUS
85.4
avg: 46.0 for this ELO range
Account TrustSUSPICIOUS
25.3
avg: 36.7 for this ELO range
Social RiskELEVATED
47.7
avg: 33.2 for this ELO range
HoursSUSPICIOUS
59
avg: 913 for this ELO range
avg for this ELO range
Data sourcesSteam ProfileGames ListStatsLeetify not registeredFACEIT no account
(Probability: 0.25)

Concerning Indicators:

  • Social Network Risk: 15.4% of friends have VAC bans - significantly higher than typical players

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?

twojojcieczpodlasiaskins.army 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 59 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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