Sigma

76561198337644242 Steam ID

1045 hrs CS2 Hours

YES VAC Ban

Analyzed by TrackBans AI on 08/17/2026 14:51

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.

Player Analysis

Aim ScoreNORMAL

25.1

-4% avg 26.1 for this ELO range

Headshot %NORMAL

40.4%

+2% avg 39.6% for this ELO range

AccuracyNORMAL

6.7%

-52% avg 14.0% for this ELO range

K/D RatioNORMAL

1.02

-2% avg 1.03 for this ELO range

Reaction TimeNORMAL

0.597s

avg: 0.665s for this ELO range

KASTNORMAL

69.6%

avg: 65.8% for this ELO range

HLTV 2.0NORMAL

1.03

avg: 1.01 for this ELO range

Pre-AimNORMAL

12.8

avg: 10.4 for this ELO range

Time to KillNORMAL

1.119s

avg: 0.821s for this ELO range

Opening DuelsNORMAL

46.4%

avg: 48.7% for this ELO range

ADRNORMAL

82.4

avg: 75.2 for this ELO range

Win RateNORMAL

51.4%

avg: 50.7% for this ELO range

AWP AccNORMAL

42.2%

avg: 36.9% for this ELO range

PerformanceSUSPICIOUS

69.8

avg: 46.0 for this ELO range

Account TrustNORMAL

40.3

avg: 36.7 for this ELO range

Social RiskELEVATED

40.0

avg: 33.2 for this ELO range

avg for this ELO range

Data sourcesSteam ProfileGames ListStatsLeetifyFACEIT no account

(Probability: 0.15)

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?

Sigma 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 1045 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.