✪ hNrq!

76561198076562131 Steam ID

0 hrs CS2 Hours

YES VAC Ban

Analyzed by TrackBans AI on 07/16/2026 13:28

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: 1326 · Level 6

Player Analysis

Aim ScoreELEVATED

86/100

+28% avg 67/100 for this ELO range

FACEIT K/DNORMAL

1.31

+13% avg 1.16 for this ELO range

Reaction TimeNORMAL

0.63

+1% avg 0.63 for this ELO range

KASTNORMAL

70.90

+0% avg 70.70 for this ELO range

HLTV 2.0NORMAL

1.23

avg: 1.16 for this ELO range

Pre-AimNORMAL

8.5

avg: 9.6 for this ELO range

Time to KillNORMAL

1.062s

avg: 0.702s for this ELO range

Opening DuelsNORMAL

50.1%

avg: 52.2% for this ELO range

ADRNORMAL

86.5

avg: 84.0 for this ELO range

Account TrustSUSPICIOUS

11.8

avg: 43.4 for this ELO range

Social RiskSUSPICIOUS

65.0

avg: 27.5 for this ELO range

FACEIT WR%NORMAL

45.7%

avg: 53.5% for this ELO range

FACEIT HS%NORMAL

38.0%

avg: 44.9% for this ELO range

FACEIT MatchesN/A

avg for this ELO range

This profile has been analyzed 2 times

Data sourcesSteam ProfileGames List hiddenStats hiddenLeetify not registeredFACEIT

(Probability: 0.03)

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?

✪ hNrq! 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.