Ruh⁧ Roh

76561198133892615 Steam ID

0 hrs CS2 Hours

YES VAC Ban

Analyzed by TrackBans AI on 09/03/2026 06:11

AI Cheat Probability

--%

Calculating...

Legit 0% Suspicious 50% Cheating 100%

Evidence & Analysis

AI Analysis Report

⚠️2 VAC bans 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: 755 · Level 3

Player Analysis

Aim ScoreNORMAL

67/100

+51% avg 45/100 for this ELO range

Headshot %NORMAL

43.6%

+6% avg 41.2% for this ELO range

AccuracyNORMAL

1.5%

-87% avg 11.8% for this ELO range

FACEIT K/DNORMAL

0.58

-31% avg 0.84 for this ELO range

Reaction TimeSUSPICIOUS

0.505s

avg: 0.682s for this ELO range

KASTNORMAL

71.4%

avg: 66.9% for this ELO range

HLTV 2.0NORMAL

1.13

avg: 1.01 for this ELO range

Pre-AimSUSPICIOUS

7.8

avg: 10.5 for this ELO range

Time to KillNORMAL

1.008s

avg: 0.813s for this ELO range

Opening DuelsNORMAL

45.7%

avg: 47.0% for this ELO range

ADRELEVATED

88.7

avg: 74.7 for this ELO range

Win RateNORMAL

52.2%

avg: 49.9% for this ELO range

AWP AccNORMAL

29.2%

avg: 36.4% for this ELO range

PerformanceSUSPICIOUS

70.4

avg: 44.3 for this ELO range

Account TrustSUSPICIOUS

17.6

avg: 38.5 for this ELO range

Social RiskSUSPICIOUS

50.0

avg: 30.7 for this ELO range

avg for this ELO range

Data sourcesSteam ProfileGames List hiddenStatsLeetifyFACEIT

(Probability: 0.10)

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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?

Ruh⁧ Roh 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.