- 'LN

76561198073696597 Steam ID

4084 hrs CS2 Hours

YES VAC Ban

Analyzed by TrackBans AI on 08/17/2026 03:19

AI Cheat Probability

--%

Calculating...

Legit 0% Suspicious 50% Cheating 100%

Evidence & Analysis

AI Analysis Report

⚠️2 VAC bans 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: 1007 · Level 4

Player Analysis

Aim ScoreNORMAL

24.8

-8% avg 27.1 for this ELO range

Headshot %NORMAL

38.8%

-11% avg 43.6% for this ELO range

AccuracyNORMAL

7.5%

-43% avg 13.1% for this ELO range

FACEIT K/DNORMAL

1.22

+12% avg 1.09 for this ELO range

Reaction TimeNORMAL

0.639s

avg: 0.644s for this ELO range

KASTNORMAL

70.7%

avg: 69.5% for this ELO range

HLTV 2.0NORMAL

1.17

avg: 1.11 for this ELO range

Pre-AimNORMAL

9.1

avg: 9.9 for this ELO range

Time to KillNORMAL

1.056s

avg: 0.739s for this ELO range

Opening DuelsNORMAL

52.2%

avg: 50.5% for this ELO range

ADRNORMAL

86.3

avg: 81.0 for this ELO range

Win RateNORMAL

51.6%

avg: 51.0% for this ELO range

AWP AccNORMAL

38.2%

avg: 36.8% for this ELO range

PerformanceSUSPICIOUS

74.2

avg: 46.7 for this ELO range

Account TrustNORMAL

58.0

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 ListStatsLeetifyFACEIT

(Probability: 0.05)

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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?

- 'LN 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 4084 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.