π₯𝐨𝐯𝐞π₯π₯666's avatar

π₯𝐨𝐯𝐞π₯π₯666

76561199810540877 Steam ID
2301 hrs CS2 Hours
No VAC Ban
Analyzed by TrackBans AI on 05/17/2026 16:36
AI Cheat Probability
--%
Calculating...
Legit 0% Suspicious 50% Cheating 100%
Model Confidence: --

AI Analysis Report

FACEIT ELO: 1430 · Level 7
CS2 Premier: 21,509
Player Analysis
Aim Score
25.4
-9% avg 27.8 for this ELO range
Headshot %
46.2%
+3% avg 44.7% for this ELO range
K/D Ratio
1.33
+20% avg 1.11 for this ELO range
Reaction Time
0.56
-11% avg 0.63 for this ELO range
KAST
76.5%
avg: 70.7% for this ELO range
HLTV 2.0
1.38
avg: 1.16 for this ELO range
Pre-Aim
8.7
avg: 9.6 for this ELO range
Time to Kill
0.655s
avg: 0.697s for this ELO range
Opening Duels
49.4%
avg: 52.5% for this ELO range
ADR
99.3
avg: 83.9 for this ELO range
Win Rate
54.2%
avg: 51.3% for this ELO range
AWP Acc
43.2%
avg: 36.6% for this ELO range
Performance
83.9
avg: 47.3 for this ELO range
Account Trust
47.8
avg: 44.0 for this ELO range
Social Risk
26.4
avg: 26.6 for this ELO range
Hours
2301
avg: 1863 for this ELO range
Data sourcesSteam ProfileGames ListStatsLeetifyFACEIT
(Probability: 0.13)

Supporting Evidence:

  • Match History: Extensive history of 1520 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?

π₯𝐨𝐯𝐞π₯π₯666 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 2301 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.

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