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N olha

76561198090433274 Steam ID
2222 hrs CS2 Hours
No VAC Ban
Analyzed by TrackBans AI on 08/06/2026 23:12
AI Cheat Probability
--%
Calculating...
Legit 0% Suspicious 50% Cheating 100%

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.
Player Analysis
Aim ScoreNORMAL
10/100
-82% avg 53/100 for this ELO range
Headshot %NORMAL
34.8%
-12% avg 39.6% for this ELO range
AccuracyNORMAL
11.7%
-17% avg 14.0% for this ELO range
K/D RatioNORMAL
0.97
-7% avg 1.03 for this ELO range
Reaction TimeNORMAL
0.643s
avg: 0.665s for this ELO range
KASTNORMAL
71.8%
avg: 65.8% for this ELO range
HLTV 2.0NORMAL
1.02
avg: 1.01 for this ELO range
Pre-AimNORMAL
12.9
avg: 10.4 for this ELO range
Opening DuelsNORMAL
19.8%
avg: 48.7% for this ELO range
ADRNORMAL
69.3
avg: 75.2 for this ELO range
Win RateNORMAL
49.5%
avg: 50.7% for this ELO range
AWP AccNORMAL
30.3%
avg: 36.9% for this ELO range
PerformanceELEVATED
68.7
avg: 46.0 for this ELO range
Account TrustNORMAL
63.2
avg: 36.7 for this ELO range
Social RiskNORMAL
20.0
avg: 33.2 for this ELO range
HoursNORMAL
2222
avg: 913 for this ELO range
avg for this ELO range
Data sourcesSteam ProfileGames ListStatsLeetifyFACEIT no account
(Probability: 0.06)

Concerning Indicators:

  • Social Network Risk: 40.0% of friends have VAC bans - significantly higher than typical players

Take Action

Review the analysis and decide your next steps.

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?

N olha 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 2222 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.

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