lud sum mamo qm parket's avatar

lud sum mamo qm parket

76561199012582627 Steam ID
1161 hrs CS2 Hours
No VAC Ban
Analyzed by TrackBans AI on 07/08/2026 18:54
AI Cheat Probability
--%
Calculating...
Legit 0% Suspicious 50% Cheating 100%

AI Analysis Report

Player Analysis
Aim ScoreELEVATED
30.7
+17% avg 26.1 for this ELO range
Headshot %SUSPICIOUS
60.3%
+52% avg 39.6% for this ELO range
AccuracyNORMAL
14.9%
+6% avg 14.0% for this ELO range
K/D RatioNORMAL
1.10
+7% avg 1.03 for this ELO range
Reaction TimeNORMAL
0.574s
avg: 0.665s for this ELO range
KASTNORMAL
68.1%
avg: 65.8% for this ELO range
HLTV 2.0NORMAL
1.09
avg: 1.01 for this ELO range
Pre-AimSUSPICIOUS
8.2
avg: 10.4 for this ELO range
Time to KillNORMAL
1.024s
avg: 0.821s for this ELO range
Opening DuelsNORMAL
42.8%
avg: 48.7% for this ELO range
ADRNORMAL
78.0
avg: 75.2 for this ELO range
Win RateNORMAL
49.5%
avg: 50.7% for this ELO range
AWP AccNORMAL
27.1%
avg: 36.9% for this ELO range
PerformanceSUSPICIOUS
74.6
avg: 46.0 for this ELO range
Account TrustNORMAL
40.5
avg: 36.7 for this ELO range
Social RiskNORMAL
30.6
avg: 33.2 for this ELO range
avg for this ELO range
Data sourcesSteam ProfileGames ListStatsLeetify not registeredFACEIT no account
(Probability: 0.09)

Concerning Indicators:

  • Social Network Risk: 11.1% 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?

lud sum mamo qm parket 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 1161 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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