Capt. Irgumburgum's avatar

Capt. Irgumburgum

76561198904520718 Steam ID
3253 hrs CS2 Hours
No VAC Ban
Analyzed by TrackBans AI on 05/23/2026 17:00
AI Cheat Probability
--%
Calculating...
Legit 0% Suspicious 50% Cheating 100%

AI Analysis Report

FACEIT ELO: 1685 · Level 8
CS2 Premier: 21,069
Player Analysis
Aim Score
25.2
-11% avg 28.2 for this ELO range
Headshot %
44.2%
-5% avg 46.3% for this ELO range
Accuracy
15.1%
+3% avg 14.6% for this ELO range
FACEIT K/D
1.28
+9% avg 1.17 for this ELO range
Reaction Time
0.577s
avg: 0.617s for this ELO range
KAST
71.8%
avg: 71.1% for this ELO range
HLTV 2.0
1.21
avg: 1.18 for this ELO range
Pre-Aim
6.7
avg: 9.5 for this ELO range
Time to Kill
0.625s
avg: 0.671s for this ELO range
Opening Duels
43.1%
avg: 53.3% for this ELO range
ADR
87.6
avg: 85.1 for this ELO range
Win Rate
54.8%
avg: 51.4% for this ELO range
AWP Acc
24.4%
avg: 36.6% for this ELO range
Performance
90.6
avg: 47.5 for this ELO range
Account Trust
82.4
avg: 45.1 for this ELO range
FACEIT WR%
65.2%
avg: 53.1% for this ELO range
This profile has been analyzed 2 times
Data sourcesSteam ProfileGames ListStatsLeetifyFACEIT
(Probability: 0.02)

Supporting Evidence:

  • Match History: Extensive history of 950 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?

Capt. Irgumburgum 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 3253 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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