i mog u

76561199232537203 Steam ID

0 hrs CS2 Hours

YES VAC Ban

Analyzed by TrackBans AI on 07/03/2026 01:16

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: 1366 · Level 7

Player Analysis

Aim Score

77/100

+16% avg 67/100 for this ELO range

Headshot %

62.6%

+38% avg 45.4% for this ELO range

FACEIT K/D

1.10

-5% avg 1.16 for this ELO range

Reaction Time

0.64

+1% avg 0.63 for this ELO range

KAST

71.6%

avg: 70.7% for this ELO range

HLTV 2.0

1.19

avg: 1.16 for this ELO range

Pre-Aim

7.8

avg: 9.6 for this ELO range

Time to Kill

0.973s

avg: 0.702s for this ELO range

Opening Duels

40.9%

avg: 52.2% for this ELO range

ADR

85.8

avg: 84.0 for this ELO range

Win Rate

53.5%

avg: 51.3% for this ELO range

AWP Acc

41.0%

avg: 36.9% for this ELO range

Performance

74.5

avg: 47.3 for this ELO range

Account Trust

10.0

avg: 43.4 for this ELO range

Social Risk

75.0

avg: 27.5 for this ELO range

FACEIT WR%

50.9%

avg: 53.5% for this ELO range

Data sourcesSteam ProfileGames List hiddenStatsLeetify not registeredFACEIT

(Probability: 0.04)

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?

i mog u 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.