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Apple Maple @bandit's avatar

Apple Maple @bandit

76561199522406722 Steam ID
0 hrs CS2 Hours
YES VAC Ban
Analyzed by TrackBans AI on 08/24/2026 17:31
AI Cheat Probability
--%
Calculating...
Legit 0% Suspicious 50% Cheating 100%

AI Analysis Report

⚠️1 VAC ban on record
FACEIT ELO: 1000 · Level 4
Player Analysis
Aim ScoreNORMAL
64/100
+23% avg 52/100 for this ELO range
Headshot %ELEVATED
52.5%
+25% avg 42.0% for this ELO range
AccuracyNORMAL
0.9%
-93% avg 11.9% for this ELO range
K/D RatioNORMAL
1.19
+15% avg 1.03 for this ELO range
Reaction TimeELEVATED
0.552s
avg: 0.665s for this ELO range
KASTNORMAL
59.7%
avg: 67.9% for this ELO range
HLTV 2.0NORMAL
1.06
avg: 1.05 for this ELO range
Pre-AimSUSPICIOUS
7.9
avg: 10.2 for this ELO range
Time to KillNORMAL
1.055s
avg: 0.790s for this ELO range
Opening DuelsNORMAL
40.2%
avg: 48.8% for this ELO range
ADRNORMAL
80.4
avg: 77.4 for this ELO range
Win RateNORMAL
53.2%
avg: 50.7% for this ELO range
AWP AccELEVATED
46.8%
avg: 37.3% for this ELO range
PerformanceSUSPICIOUS
85.2
avg: 45.8 for this ELO range
Account TrustSUSPICIOUS
11.8
avg: 38.3 for this ELO range
Social RiskSUSPICIOUS
65.0
avg: 31.1 for this ELO range
avg for this ELO range
Data sourcesSteam ProfileGames List hiddenStatsLeetifyFACEIT
(Probability: 0.73)

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?

Apple Maple @bandit 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.

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