✞ § i ℭ K ⊕ H ✞'s avatar

✞ § i ℭ K ⊕ H ✞

76561198905836977 Steam ID
3685 hrs CS2 Hours
No VAC Ban
Analyzed by TrackBans AI on 05/17/2026 05:48
AI Cheat Probability
--%
Calculating...
Legit 0% Suspicious 50% Cheating 100%
Model Confidence: --

AI Analysis Report

FACEIT ELO: 950 · Level 4
CS2 Premier: 3,575
Player Analysis
Aim Score
24.3
-8% avg 26.5 for this ELO range
Headshot %
46.0%
+11% avg 41.6% for this ELO range
Accuracy
4.0%
-70% avg 13.1% for this ELO range
FACEIT K/D
0.42
-52% avg 0.87 for this ELO range
Reaction Time
0.537s
avg: 0.666s for this ELO range
KAST
72.2%
avg: 67.9% for this ELO range
HLTV 2.0
1.07
avg: 1.05 for this ELO range
Pre-Aim
9.6
avg: 10.2 for this ELO range
Time to Kill
0.775s
avg: 0.787s for this ELO range
Opening Duels
41.5%
avg: 48.9% for this ELO range
ADR
77.5
avg: 77.3 for this ELO range
Win Rate
49.9%
avg: 50.6% for this ELO range
AWP Acc
35.7%
avg: 37.0% for this ELO range
Performance
65.6
avg: 45.8 for this ELO range
Account Trust
63.5
avg: 38.6 for this ELO range
Social Risk
6.3
avg: 30.7 for this ELO range
Data sourcesSteam ProfileGames ListStatsLeetifyFACEIT
(Probability: 0.47)

Supporting Evidence:

  • Match History: Extensive history of 2681 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?

✞ § i ℭ K ⊕ H ✞ 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 3685 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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