★ KING's avatar

★ KING

76561199862719455 Steam ID
1279 hrs CS2 Hours
No VAC Ban
Analyzed by TrackBans AI on 05/03/2026 17:30
AI Cheat Probability
--%
Calculating...
Legit 0% Suspicious 50% Cheating 100%

AI Analysis Report

FACEIT ELO: 567 · Level 2
Player Analysis
Aim Score
30.8
+18% avg 26.0 for this ELO range
Headshot %
61.5%
+50% avg 40.9% for this ELO range
FACEIT K/D
0.72
-14% avg 0.84 for this ELO range
Reaction Time
0.64
-7% avg 0.68 for this ELO range
KAST
74.7%
avg: 66.9% for this ELO range
HLTV 2.0
1.35
avg: 1.01 for this ELO range
Pre-Aim
10.1
avg: 10.5 for this ELO range
Time to Kill
0.768s
avg: 0.809s for this ELO range
Opening Duels
53.6%
avg: 47.2% for this ELO range
ADR
96.3
avg: 74.7 for this ELO range
Win Rate
52.0%
avg: 49.8% for this ELO range
AWP Acc
42.4%
avg: 36.2% for this ELO range
Performance
82.5
avg: 44.4 for this ELO range
Account Trust
35.4
avg: 38.7 for this ELO range
Social Risk
25.0
avg: 30.3 for this ELO range
FACEIT WR%
17.4%
avg: 38.9% for this ELO range
This profile has been analyzed 2 times
Data sourcesSteam ProfileGames ListStatsLeetifyFACEIT
(Probability: 0.04)

Concerning Indicators:

  • Performance Spike: Recent K/D improvement of +0.57 represents a dramatic and sudden change

Supporting Evidence:

  • Match History: Extensive history of 251 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?

★ KING 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 1279 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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