Gregor Steffenmüller

76561199097512771 Steam ID

1399 hrs CS2 Hours

YES VAC Ban

Analyzed by TrackBans AI on 07/14/2026 00:28

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: 1266 · Level 6

Player Analysis

Aim ScoreNORMAL

24.2

-11% avg 27.1 for this ELO range

Headshot %NORMAL

35.7%

-18% avg 43.6% for this ELO range

AccuracyNORMAL

9.4%

-28% avg 13.1% for this ELO range

FACEIT K/DNORMAL

1.15

+6% avg 1.09 for this ELO range

Reaction TimeNORMAL

0.653s

avg: 0.644s for this ELO range

KASTNORMAL

71.7%

avg: 69.5% for this ELO range

HLTV 2.0NORMAL

1.10

avg: 1.11 for this ELO range

Pre-AimNORMAL

10.1

avg: 9.9 for this ELO range

Time to KillNORMAL

1.145s

avg: 0.739s for this ELO range

Opening DuelsNORMAL

41.4%

avg: 50.5% for this ELO range

ADRNORMAL

77.5

avg: 81.0 for this ELO range

Win RateNORMAL

49.5%

avg: 51.0% for this ELO range

AWP AccNORMAL

38.1%

avg: 36.8% for this ELO range

PerformanceSUSPICIOUS

70.2

avg: 46.7 for this ELO range

Account TrustNORMAL

51.5

avg: 41.7 for this ELO range

Social RiskNORMAL

30.0

avg: 28.5 for this ELO range

avg for this ELO range

Data sourcesSteam ProfileGames ListStatsLeetify not registeredFACEIT

(Probability: 0.02)

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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?

Gregor Steffenmüller 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 1399 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.