𝐀 𝐊 𝟏 𝐋 𝐋's avatar

𝐀 𝐊 𝟏 𝐋 𝐋

76561199088500106 Steam ID
1802 hrs CS2 Hours
No VAC Ban
Analyzed by TrackBans AI on 05/06/2026 15:59
AI Cheat Probability
--%
Calculating...
Legit 0% Suspicious 50% Cheating 100%

AI Analysis Report

FACEIT ELO: 1020 · Level 4
CS2 Premier: 24,598
Player Analysis
Aim Score
35.0
+29% avg 27.3 for this ELO range
Headshot %
78.2%
+82% avg 43.0% for this ELO range
Accuracy
1.0%
-93% avg 14.3% for this ELO range
FACEIT K/D
0.82
-25% avg 1.09 for this ELO range
Reaction Time
0.683s
avg: 0.644s for this ELO range
KAST
70.6%
avg: 69.4% for this ELO range
HLTV 2.0
1.12
avg: 1.11 for this ELO range
Pre-Aim
12.1
avg: 9.9 for this ELO range
Time to Kill
0.660s
avg: 0.734s for this ELO range
Opening Duels
43.0%
avg: 50.8% for this ELO range
ADR
83.0
avg: 80.9 for this ELO range
Win Rate
51.8%
avg: 51.0% for this ELO range
AWP Acc
42.3%
avg: 36.6% for this ELO range
Performance
91.7
avg: 46.7 for this ELO range
Account Trust
55.1
avg: 42.2 for this ELO range
Social Risk
25.0
avg: 27.7 for this ELO range
Data sourcesSteam ProfileGames ListStatsLeetifyFACEIT
(Probability: 0.05)

Supporting Evidence:

  • Match History: Extensive history of 522 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?

𝐀 𝐊 𝟏 𝐋 𝐋 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 1802 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 β€” 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.

Scroll al inicio