marikoff ★

76561198131639468 Steam ID

3249 hrs CS2 Hours

No VAC Ban

Analyzed by TrackBans AI on 06/30/2026 17:10

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: 1810 · Level 9

Player Analysis

Aim Score

83/100

+17% avg 71/100 for this ELO range

Headshot %

45.8%

-3% avg 47.0% for this ELO range

Accuracy

11.5%

-13% avg 13.3% for this ELO range

FACEIT K/D

1.22

+4% avg 1.17 for this ELO range

Reaction Time

0.544s

avg: 0.617s for this ELO range

KAST

75.0%

avg: 71.1% for this ELO range

HLTV 2.0

1.36

avg: 1.18 for this ELO range

Pre-Aim

10.0

avg: 9.5 for this ELO range

Time to Kill

0.966s

avg: 0.677s for this ELO range

Opening Duels

54.2%

avg: 53.1% for this ELO range

ADR

95.7

avg: 85.2 for this ELO range

Win Rate

52.7%

avg: 51.4% for this ELO range

AWP Acc

39.7%

avg: 36.9% for this ELO range

Performance

85.5

avg: 47.5 for this ELO range

Account Trust

67.2

avg: 44.6 for this ELO range

Social Risk

8.4

avg: 26.5 for this ELO range

Data sourcesSteam ProfileGames ListStatsLeetify not registeredFACEIT

(Probability: 0.03)

Supporting Evidence:

Clean Network: Social connections show low ban rates typical of legitimate players

Take Action

Review the analysis and decide your next steps.

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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?

marikoff ★ 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 3249 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.