General_Cucumber's avatar

General_Cucumber

76561199826507474 Steam ID
58 hrs CS2 Hours
YES VAC Ban
Analyzed by TrackBans AI on 07/15/2026 14:18
AI Cheat Probability
--%
Calculating...
Legit 0% Suspicious 50% Cheating 100%

AI Analysis Report

⚠️1 VAC ban on record
Player Analysis
Aim ScoreNORMAL
25/100
-53% avg 53/100 for this ELO range
Headshot %NORMAL
32.2%
-19% avg 39.6% for this ELO range
K/D RatioELEVATED
1.55
+50% avg 1.03 for this ELO range
Reaction TimeELEVATED
0.54
-18% avg 0.66 for this ELO range
KASTNORMAL
73.0%
avg: 65.8% for this ELO range
HLTV 2.0ELEVATED
1.16
avg: 1.01 for this ELO range
Pre-AimSUSPICIOUS
6.1
avg: 10.4 for this ELO range
Opening DuelsNORMAL
35.7%
avg: 48.7% for this ELO range
ADRELEVATED
86.6
avg: 75.2 for this ELO range
Win RateNORMAL
54.7%
avg: 50.7% for this ELO range
AWP AccELEVATED
49.5%
avg: 36.9% for this ELO range
PerformanceSUSPICIOUS
91.5
avg: 46.0 for this ELO range
Account TrustSUSPICIOUS
20.9
avg: 36.7 for this ELO range
Social RiskSUSPICIOUS
61.1
avg: 33.2 for this ELO range
HoursSUSPICIOUS
58
avg: 913 for this ELO range
avg for this ELO range
This profile has been analyzed 2 times
Data sourcesSteam ProfileGames ListStatsLeetify not registeredFACEIT no account
(Probability: 0.54)

Concerning Indicators:

  • Social Network Risk: 22.2% 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?

General_Cucumber 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 58 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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