Kaiser Wilhelm II.'s avatar

Kaiser Wilhelm II.

76561198190029322 Steam ID
476 hrs CS2 Hours
No VAC Ban
Analyzed by TrackBans AI on 05/17/2026 18:16
AI Cheat Probability
--%
Calculating...
Legit 0% Suspicious 50% Cheating 100%
Model Confidence: --

AI Analysis Report

CS2 Premier: 11,056
Player Analysis
Aim Score
27.2
+4% avg 26.2 for this ELO range
Headshot %
35.5%
-10% avg 39.3% for this ELO range
Accuracy
9.2%
-37% avg 14.6% for this ELO range
K/D Ratio
1.02
-2% avg 1.04 for this ELO range
Reaction Time
0.629s
avg: 0.665s for this ELO range
KAST
70.9%
avg: 65.8% for this ELO range
HLTV 2.0
1.10
avg: 1.01 for this ELO range
Pre-Aim
10.3
avg: 10.4 for this ELO range
Time to Kill
0.876s
avg: 0.820s for this ELO range
Opening Duels
49.7%
avg: 48.8% for this ELO range
ADR
80.1
avg: 75.1 for this ELO range
Win Rate
51.2%
avg: 50.7% for this ELO range
AWP Acc
49.8%
avg: 36.8% for this ELO range
Performance
71.5
avg: 46.0 for this ELO range
Account Trust
55.7
avg: 36.7 for this ELO range
Social Risk
20.7
avg: 33.2 for this ELO range
Data sourcesSteam ProfileGames ListStatsLeetifyFACEIT no account
(Probability: 0.05)

Concerning Indicators:

  • Social Network Risk: 11.4% of friends have VAC bans - significantly higher than typical players

Supporting Evidence:

  • Match History: Extensive history of 383 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?

Kaiser Wilhelm II. 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 476 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.

Scroll al inicio