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广西枪霸梁卓把粮啄(benc's avatar

广西枪霸梁卓把粮啄(benc

76561199185824595 Steam ID
2250 hrs CS2 Hours
No VAC Ban
Analyzed by TrackBans AI on 10/05/2026 13:38
AI Cheat Probability
--%
Calculating...
Legit 0% Suspicious 50% Cheating 100%

AI Analysis Report

FACEIT ELO: 1872 · Level 9
Player Analysis
Aim ScoreSUSPICIOUS
93/100
+31% avg 71/100 for this ELO range
Headshot %NORMAL
38.7%
-18% avg 47.0% for this ELO range
AccuracyNORMAL
10.3%
-23% avg 13.3% for this ELO range
FACEIT K/DNORMAL
1.28
+9% avg 1.17 for this ELO range
Reaction TimeSUSPICIOUS
0.484s
avg: 0.617s for this ELO range
KASTNORMAL
64.4%
avg: 71.1% for this ELO range
HLTV 2.0NORMAL
0.96
avg: 1.18 for this ELO range
Pre-AimNORMAL
8.4
avg: 9.5 for this ELO range
Time to KillNORMAL
1.147s
avg: 0.677s for this ELO range
Opening DuelsNORMAL
44.3%
avg: 53.1% for this ELO range
ADRNORMAL
75.9
avg: 85.2 for this ELO range
Win RateNORMAL
51.9%
avg: 51.4% for this ELO range
AWP AccELEVATED
46.5%
avg: 36.9% for this ELO range
PerformanceSUSPICIOUS
72.8
avg: 47.5 for this ELO range
Account TrustNORMAL
47.0
avg: 44.6 for this ELO range
Social RiskNORMAL
20.9
avg: 26.5 for this ELO range
avg for this ELO range
Data sourcesSteam ProfileGames ListStatsLeetify not registeredFACEIT
(Probability: 0.03)

Concerning Indicators:

  • Social Network Risk: 11.8% 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?

广西枪霸梁卓把粮啄(benc 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 2250 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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