θ‰Ύ πŸ…»πŸ†„πŸ…ΈπŸ†‚πŸ†'s avatar

θ‰Ύ πŸ…»πŸ†„πŸ…ΈπŸ†‚πŸ†

76561198142385224 Steam ID
0 hrs CS2 Hours
No VAC Ban
Analyzed by TrackBans AI on 07/11/2026 17:31
AI Cheat Probability
--%
Calculating...
Legit 0% Suspicious 50% Cheating 100%

AI Analysis Report

FACEIT ELO: 1039 · Level 4
Player Analysis
Aim ScoreELEVATED
84/100
+39% avg 60/100 for this ELO range
Headshot %NORMAL
41.9%
-4% avg 43.6% for this ELO range
AccuracyNORMAL
11.4%
-13% avg 13.1% for this ELO range
FACEIT K/DNORMAL
1.16
+7% avg 1.09 for this ELO range
Reaction TimeSUSPICIOUS
0.530s
avg: 0.644s for this ELO range
KASTNORMAL
71.4%
avg: 69.5% for this ELO range
HLTV 2.0NORMAL
1.08
avg: 1.11 for this ELO range
Pre-AimNORMAL
9.0
avg: 9.9 for this ELO range
Time to KillNORMAL
0.996s
avg: 0.739s for this ELO range
Opening DuelsNORMAL
40.2%
avg: 50.5% for this ELO range
ADRNORMAL
78.3
avg: 81.0 for this ELO range
Win RateNORMAL
51.2%
avg: 51.0% for this ELO range
AWP AccNORMAL
41.2%
avg: 36.8% for this ELO range
PerformanceSUSPICIOUS
74.2
avg: 46.7 for this ELO range
Account TrustSUSPICIOUS
24.5
avg: 41.7 for this ELO range
Social RiskSUSPICIOUS
45.7
avg: 28.5 for this ELO range
avg for this ELO range
Data sourcesSteam ProfileGames ListStatsLeetify not registeredFACEIT
(Probability: 0.07)

Concerning Indicators:

  • Social Network Risk: 11.4% of friends have VAC bans - significantly higher than typical 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?

θ‰Ύ πŸ…»πŸ†„πŸ…ΈπŸ†‚πŸ† 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 0 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