UP ka gooner's avatar

UP ka gooner

76561198836312238 Steam ID
429 hrs CS2 Hours
No VAC Ban
Analyzed by TrackBans AI on 07/11/2026 15:01
AI Cheat Probability
--%
Calculating...
Legit 0% Suspicious 50% Cheating 100%

AI Analysis Report

FACEIT ELO: 901 · Level 4
Player Analysis
Aim ScoreNORMAL
66/100
+26% avg 52/100 for this ELO range
Headshot %SUSPICIOUS
67.3%
+60% avg 42.0% for this ELO range
AccuracyNORMAL
0.0%
-100% avg 11.9% for this ELO range
FACEIT K/DNORMAL
0.48
-45% avg 0.87 for this ELO range
Reaction TimeNORMAL
0.809s
avg: 0.665s for this ELO range
KASTNORMAL
67.5%
avg: 67.9% for this ELO range
HLTV 2.0NORMAL
1.11
avg: 1.05 for this ELO range
Pre-AimNORMAL
8.9
avg: 10.2 for this ELO range
Time to KillNORMAL
1.101s
avg: 0.790s for this ELO range
Opening DuelsNORMAL
42.4%
avg: 48.8% for this ELO range
ADRNORMAL
74.3
avg: 77.4 for this ELO range
Win RateNORMAL
49.5%
avg: 50.7% for this ELO range
AWP AccELEVATED
46.4%
avg: 37.3% for this ELO range
PerformanceELEVATED
63.5
avg: 45.8 for this ELO range
Account TrustNORMAL
41.2
avg: 38.3 for this ELO range
Social RiskNORMAL
30.0
avg: 31.1 for this ELO range
avg for this ELO range
Data sourcesSteam ProfileGames ListStatsLeetify not registeredFACEIT
(Probability: 0.03)

Supporting Evidence:

  • 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?

UP ka gooner 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 429 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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