zen.

76561199557070071 Steam ID

106 hrs CS2 Hours

No VAC Ban

Analyzed by TrackBans AI on 07/12/2026 02:12

AI Cheat Probability

--%

Calculating...

Legit 0% Suspicious 50% Cheating 100%

Evidence & Analysis

AI Analysis Report

⚠️1 VAC ban on record — likely from another game (active CS2 player)

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.

Player Analysis

Aim ScoreNORMAL

70/100

+31% avg 53/100 for this ELO range

Headshot %NORMAL

40.7%

+3% avg 39.6% for this ELO range

AccuracyNORMAL

1.2%

-92% avg 14.0% for this ELO range

K/D RatioNORMAL

1.17

+13% avg 1.03 for this ELO range

Reaction TimeNORMAL

0.651s

avg: 0.665s for this ELO range

Pre-AimNORMAL

12.6

avg: 10.4 for this ELO range

Opening DuelsNORMAL

39.7%

avg: 48.7% for this ELO range

Win RateNORMAL

53.3%

avg: 50.7% for this ELO range

AWP AccELEVATED

47.5%

avg: 36.9% for this ELO range

PerformanceSUSPICIOUS

77.7

avg: 46.0 for this ELO range

Account TrustNORMAL

35.5

avg: 36.7 for this ELO range

Social RiskELEVATED

45.0

avg: 33.2 for this ELO range

HoursSUSPICIOUS

106

avg: 913 for this ELO range

avg for this ELO range

Data sourcesSteam ProfileGames ListStatsLeetifyFACEIT no account

(Probability: 0.39)

Supporting Evidence:

Natural Variance: Performance fluctuations are within normal human ranges

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?

zen. 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 106 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.