Endlich Ruhe im Puff's avatar

Endlich Ruhe im Puff

76561198282268613 Steam ID
3298 hrs CS2 Hours
No VAC Ban
Analyzed by TrackBans AI on 06/16/2026 18:30
AI Cheat Probability
--%
Calculating...
Legit 0% Suspicious 50% Cheating 100%

AI Analysis Report

FACEIT ELO: 1907 · Level 9
CS2 Premier: 26,240
Player Analysis
Aim Score
79/100
+11% avg 71/100 for this ELO range
Headshot %
46.2%
-2% avg 47.0% for this ELO range
Accuracy
9.7%
-27% avg 13.3% for this ELO range
FACEIT K/D
1.37
+17% avg 1.17 for this ELO range
Reaction Time
0.473s
avg: 0.617s for this ELO range
KAST
75.9%
avg: 71.1% for this ELO range
HLTV 2.0
1.26
avg: 1.18 for this ELO range
Pre-Aim
8.5
avg: 9.5 for this ELO range
Time to Kill
0.837s
avg: 0.677s for this ELO range
Opening Duels
35.5%
avg: 53.1% for this ELO range
ADR
91.2
avg: 85.2 for this ELO range
Win Rate
49.9%
avg: 51.4% for this ELO range
AWP Acc
27.6%
avg: 36.9% for this ELO range
Performance
74.8
avg: 47.5 for this ELO range
Account Trust
74.2
avg: 44.6 for this ELO range
FACEIT WR%
59.3%
avg: 53.1% for this ELO range
Data sourcesSteam ProfileGames ListStatsLeetifyFACEIT
(Probability: 0.04)

Supporting Evidence:

  • Match History: Extensive history of 1395 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?

Endlich Ruhe im Puff 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 3298 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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