kacode <3's avatar

kacode <3

76561198426547785 Steam ID
1401 hrs CS2 Hours
No VAC Ban
Analyzed by TrackBans AI on 05/01/2026 06:35
AI Cheat Probability
--%
Calculating...
Legit 0% Suspicious 50% Cheating 100%

AI Analysis Report

FACEIT ELO: 1082 · Level 5
CS2 Premier: 10,581
Player Analysis
Aim Score
25.5
-7% avg 27.3 for this ELO range
Headshot %
31.8%
-26% avg 43.0% for this ELO range
Accuracy
13.3%
-7% avg 14.3% for this ELO range
FACEIT K/D
1.07
-2% avg 1.09 for this ELO range
Reaction Time
0.650s
avg: 0.644s for this ELO range
KAST
74.5%
avg: 69.4% for this ELO range
HLTV 2.0
1.36
avg: 1.11 for this ELO range
Pre-Aim
9.3
avg: 9.9 for this ELO range
Time to Kill
0.664s
avg: 0.734s for this ELO range
Opening Duels
67.2%
avg: 50.8% for this ELO range
ADR
98.4
avg: 80.9 for this ELO range
Win Rate
52.9%
avg: 51.0% for this ELO range
AWP Acc
43.2%
avg: 36.6% for this ELO range
Performance
77.5
avg: 46.7 for this ELO range
Account Trust
56.6
avg: 42.2 for this ELO range
Social Risk
27.2
avg: 27.7 for this ELO range
Data sourcesSteam ProfileGames ListStatsLeetifyFACEIT
(Probability: 0.04)

Supporting Evidence:

  • Match History: Extensive history of 617 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?

kacode <3 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 1401 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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