kolych's avatar

kolych

76561198134857547 Steam ID
1663 hrs CS2 Hours
No VAC Ban
Analyzed by TrackBans AI on 07/02/2026 22:27
AI Cheat Probability
--%
Calculating...
Legit 0% Suspicious 50% Cheating 100%

AI Analysis Report

CS2 Premier: 15,624
Player Analysis
Aim Score
74/100
+39% avg 53/100 for this ELO range
Headshot %
54.3%
+37% avg 39.6% for this ELO range
Accuracy
15.5%
+10% avg 14.0% for this ELO range
K/D Ratio
1.17
+13% avg 1.03 for this ELO range
Reaction Time
0.597s
avg: 0.665s for this ELO range
KAST
69.9%
avg: 65.8% for this ELO range
HLTV 2.0
1.10
avg: 1.01 for this ELO range
Pre-Aim
8.4
avg: 10.4 for this ELO range
Time to Kill
0.995s
avg: 0.821s for this ELO range
Opening Duels
42.7%
avg: 48.7% for this ELO range
ADR
79.7
avg: 75.2 for this ELO range
Win Rate
56.2%
avg: 50.7% for this ELO range
AWP Acc
37.8%
avg: 36.9% for this ELO range
Performance
77.3
avg: 46.0 for this ELO range
Account Trust
56.4
avg: 36.7 for this ELO range
Social Risk
35.9
avg: 33.2 for this ELO range
Data sourcesSteam ProfileGames ListStatsLeetifyFACEIT no account
(Probability: 0.19)

Concerning Indicators:

  • Social Network Risk: 21.9% of friends have VAC bans - significantly higher than typical players

Supporting Evidence:

  • Match History: Extensive history of 233 matches suggests established legitimate play
  • Natural Variance: Performance fluctuations are within normal human ranges

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?

kolych 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 1663 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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