d3n gyllene gås's avatar

d3n gyllene gås

76561198149134422 Steam ID
602 hrs CS2 Hours
YES VAC Ban
Analyzed by TrackBans AI on 05/04/2026 08:06
AI Cheat Probability
--%
Calculating...
Legit 0% Suspicious 50% Cheating 100%

AI Analysis Report

This player has 1 VAC ban, but has been actively playing CS2 recently (46.0 hours in the last 2 weeks), suggesting the ban is likely from another game.
FACEIT ELO: 1590 · Level 8
CS2 Premier: 17,892
Player Analysis
FACEIT K/D
1.11
-4% avg 1.16 for this ELO range
Reaction Time
0.62
-1% avg 0.63 for this ELO range
KAST
70.70
+0% avg 70.65 for this ELO range
HLTV 2.0
1.04
-10% avg 1.16 for this ELO range
Pre-Aim
8.9
avg: 9.6 for this ELO range
Time to Kill
0.667s
avg: 0.697s for this ELO range
Opening Duels
57.3%
avg: 52.5% for this ELO range
ADR
77.1
avg: 83.9 for this ELO range
Account Trust
56.4
avg: 44.0 for this ELO range
Social Risk
17.3
avg: 26.6 for this ELO range
FACEIT WR%
64.3%
avg: 53.4% for this ELO range
FACEIT HS%
46.0%
avg: 44.9% for this ELO range
FACEIT Matches
14
Hours
602
avg: 1863 for this ELO range
This profile has been analyzed 3 times
Data sourcesSteam ProfileGames ListStats hiddenLeetifyFACEIT
(Probability: 0.03)

Concerning Indicators:

  • Social Network Risk: 24.6% of friends have VAC bans - significantly higher than typical players

Supporting Evidence:

  • Match History: Extensive history of 529 matches suggests established legitimate play

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?

d3n gyllene gås 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 602 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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