kub4a_ skins.army's avatar

kub4a_ skins.army

76561199184192748 Steam ID
858 hrs CS2 Hours
No VAC Ban
Analyzed by TrackBans AI on 07/12/2026 01:05
AI Cheat Probability
--%
Calculating...
Legit 0% Suspicious 50% Cheating 100%

AI Analysis Report

FACEIT ELO: 878 · Level 3
Player Analysis
Aim ScoreNORMAL
28.1
+6% avg 26.4 for this ELO range
Headshot %NORMAL
45.6%
+8% avg 42.0% for this ELO range
AccuracyNORMAL
12.6%
+6% avg 11.9% for this ELO range
FACEIT K/DNORMAL
0.91
+4% avg 0.87 for this ELO range
Reaction TimeNORMAL
0.726s
avg: 0.665s for this ELO range
KASTNORMAL
71.4%
avg: 67.9% for this ELO range
HLTV 2.0NORMAL
1.20
avg: 1.05 for this ELO range
Pre-AimNORMAL
13.0
avg: 10.2 for this ELO range
Time to KillNORMAL
1.218s
avg: 0.790s for this ELO range
Opening DuelsNORMAL
43.9%
avg: 48.8% for this ELO range
ADRNORMAL
86.2
avg: 77.4 for this ELO range
Win RateNORMAL
50.2%
avg: 50.7% for this ELO range
AWP AccNORMAL
37.2%
avg: 37.3% for this ELO range
PerformanceSUSPICIOUS
79.5
avg: 45.8 for this ELO range
Account TrustNORMAL
40.5
avg: 38.3 for this ELO range
Social RiskNORMAL
13.1
avg: 31.1 for this ELO range
avg for this ELO range
Data sourcesSteam ProfileGames ListStatsLeetify not registeredFACEIT
(Probability: 0.03)

Supporting Evidence:

  • Clean Network: Social connections show low ban rates typical of legitimate 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?

kub4a_ skins.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 858 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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