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RANDOM PULYA# <3

76561199440216497 Steam ID
0 hrs CS2 Hours
YES VAC Ban
Analyzed by TrackBans AI on 08/12/2026 17:05
AI Cheat Probability
--%
Calculating...
Legit 0% Suspicious 50% Cheating 100%

AI Analysis Report

⚠️1 VAC ban on record
This account carries a VAC ban, but TrackBans analyses CS2 gameplay specifically and does not find clear cheating patterns here. The ban may originate from another game.
FACEIT ELO: 100 · Level 1
Player Analysis
Aim ScoreNORMAL
67/100
+51% avg 45/100 for this ELO range
FACEIT K/DELEVATED
1.09
+29% avg 0.84 for this ELO range
Reaction TimeELEVATED
0.57
-17% avg 0.68 for this ELO range
KASTNORMAL
62.90
-6% avg 66.90 for this ELO range
HLTV 2.0NORMAL
0.96
avg: 1.01 for this ELO range
Pre-AimSUSPICIOUS
8.4
avg: 10.5 for this ELO range
Time to KillNORMAL
1.067s
avg: 0.813s for this ELO range
Opening DuelsNORMAL
44.4%
avg: 47.0% for this ELO range
ADRNORMAL
70.3
avg: 74.7 for this ELO range
Account TrustSUSPICIOUS
10.8
avg: 38.5 for this ELO range
Social RiskSUSPICIOUS
75.0
avg: 30.7 for this ELO range
FACEIT WR%ELEVATED
52.8%
avg: 39.0% for this ELO range
FACEIT HS%NORMAL
43.0%
avg: 40.7% for this ELO range
FACEIT MatchesN/A
362
avg for this ELO range
Data sourcesSteam ProfileGames List hiddenStats hiddenLeetifyFACEIT
(Probability: 0.26)

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?

RANDOM PULYA# <3 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.

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