Fent Folder Jawn's avatar

Fent Folder Jawn

76561199172701558 Steam ID
0 hrs CS2 Hours
No VAC Ban
Analyzed by TrackBans AI on 07/07/2026 23:56
AI Cheat Probability
--%
Calculating...
Legit 0% Suspicious 50% Cheating 100%

AI Analysis Report

FACEIT ELO: 2001 · Level 10
CS2 Premier: 24,437
Player Analysis
Aim ScoreNORMAL
75/100
-4% avg 78/100 for this ELO range
Headshot %NORMAL
36.7%
-26% avg 49.5% for this ELO range
AccuracyNORMAL
3.7%
-73% avg 13.7% for this ELO range
FACEIT K/DNORMAL
1.03
-15% avg 1.20 for this ELO range
Reaction TimeNORMAL
0.563s
avg: 0.596s for this ELO range
KASTNORMAL
72.9%
avg: 72.3% for this ELO range
HLTV 2.0NORMAL
1.13
avg: 1.24 for this ELO range
Pre-AimNORMAL
9.1
avg: 9.2 for this ELO range
Time to KillNORMAL
0.968s
avg: 0.642s for this ELO range
Opening DuelsNORMAL
46.4%
avg: 55.2% for this ELO range
ADRNORMAL
81.7
avg: 88.8 for this ELO range
Win RateNORMAL
55.9%
avg: 51.7% for this ELO range
AWP AccNORMAL
38.2%
avg: 37.9% for this ELO range
PerformanceSUSPICIOUS
75.4
avg: 48.1 for this ELO range
Account TrustNORMAL
42.5
avg: 45.5 for this ELO range
Social RiskNORMAL
26.2
avg: 26.2 for this ELO range
avg for this ELO range
Data sourcesSteam ProfileGames ListStatsLeetifyFACEIT
(Probability: 0.04)

Supporting Evidence:

  • Match History: Extensive history of 4331 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?

Fent Folder Jawn 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 — 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