global_

76561198151356555 Steam ID

0 hrs CS2 Hours

YES VAC Ban

Analyzed by TrackBans AI on 07/10/2026 21:48

AI Cheat Probability

--%

Calculating...

Legit 0% Suspicious 50% Cheating 100%

Evidence & Analysis

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: 1000 · Level 4

Player Analysis

Aim ScoreNORMAL

51/100

-2% avg 52/100 for this ELO range

Reaction TimeNORMAL

0.70

+5% avg 0.67 for this ELO range

KASTNORMAL

64.50

-5% avg 67.90 for this ELO range

HLTV 2.0NORMAL

0.93

-12% avg 1.05 for this ELO range

Pre-AimNORMAL

8.7

avg: 10.2 for this ELO range

Time to KillNORMAL

1.163s

avg: 0.790s for this ELO range

Opening DuelsNORMAL

43.3%

avg: 48.8% for this ELO range

ADRNORMAL

73.5

avg: 77.4 for this ELO range

Account TrustSUSPICIOUS

10.0

avg: 38.3 for this ELO range

Social RiskSUSPICIOUS

75.0

avg: 31.1 for this ELO range

avg for this ELO range

Data sourcesSteam ProfileGames List hiddenStats hiddenLeetify not registeredFACEIT

(Probability: 0.09)

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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?

global_ 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.