M i n c h e r z's avatar

M i n c h e r z

76561197960646397 Steam ID
3126 hrs CS2 Hours
No VAC Ban
Analyzed by TrackBans AI on 05/15/2026 22:27
AI Cheat Probability
--%
Calculating...
Legit 0% Suspicious 50% Cheating 100%

AI Analysis Report

FACEIT ELO: 2227 · Level 10
CS2 Premier: 19,302
Player Analysis
Aim Score
30.2
+3% avg 29.3 for this ELO range
Headshot %
58.1%
+19% avg 48.8% for this ELO range
Accuracy
10.3%
-31% avg 15.0% for this ELO range
FACEIT K/D
1.08
-10% avg 1.20 for this ELO range
Reaction Time
0.590s
avg: 0.596s for this ELO range
KAST
71.9%
avg: 72.2% for this ELO range
HLTV 2.0
1.14
avg: 1.24 for this ELO range
Pre-Aim
9.8
avg: 9.2 for this ELO range
Time to Kill
0.611s
avg: 0.638s for this ELO range
Opening Duels
38.4%
avg: 55.4% for this ELO range
ADR
81.1
avg: 88.7 for this ELO range
Win Rate
53.6%
avg: 51.7% for this ELO range
AWP Acc
37.5%
avg: 37.6% for this ELO range
Performance
77.0
avg: 48.1 for this ELO range
Account Trust
65.3
avg: 45.8 for this ELO range
Social Risk
7.8
avg: 25.7 for this ELO range
Data sourcesSteam ProfileGames ListStatsLeetifyFACEIT
(Probability: 0.01)

Supporting Evidence:

  • Match History: Extensive history of 2005 matches suggests established legitimate play
  • Natural Variance: Performance fluctuations are within normal human ranges
  • Clean Network: Social connections show low ban rates typical of legitimate 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?

M i n c h e r z 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 3126 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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