Kovax kenyer

76561199868940509 Steam ID

492 hrs CS2 Hours

YES VAC Ban

Analyzed by TrackBans AI on 08/17/2026 20:11

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.

FACEIT ELO: 1000 · Level 4

Player Analysis

Aim ScoreSUSPICIOUS

100/100

+93% avg 52/100 for this ELO range

Headshot %ELEVATED

53.8%

+28% avg 42.0% for this ELO range

FACEIT K/DELEVATED

1.05

+20% avg 0.87 for this ELO range

Reaction TimeSUSPICIOUS

0.29

-57% avg 0.67 for this ELO range

KASTNORMAL

61.5%

avg: 67.9% for this ELO range

HLTV 2.0NORMAL

1.03

avg: 1.05 for this ELO range

Pre-AimSUSPICIOUS

4.6

avg: 10.2 for this ELO range

Time to KillNORMAL

0.850s

avg: 0.790s for this ELO range

Opening DuelsNORMAL

51.8%

avg: 48.8% for this ELO range

ADRNORMAL

76.1

avg: 77.4 for this ELO range

Win RateNORMAL

56.7%

avg: 50.7% for this ELO range

AWP AccELEVATED

45.5%

avg: 37.3% for this ELO range

PerformanceSUSPICIOUS

96.5

avg: 45.8 for this ELO range

Account TrustSUSPICIOUS

19.0

avg: 38.3 for this ELO range

Social RiskSUSPICIOUS

65.0

avg: 31.1 for this ELO range

FACEIT WR%NORMAL

25.0%

avg: 43.8% for this ELO range

avg for this ELO range

Data sourcesSteam ProfileGames ListStatsLeetifyFACEIT

(Probability: 0.24)

Take Action

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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?

Kovax kenyer 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 492 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.