ALEF-2-'s avatar

ALEF-2-

76561198983069193 Steam ID
0 hrs CS2 Hours
No VAC Ban
Analyzed by TrackBans AI on 07/12/2026 17:30
AI Cheat Probability
--%
Calculating...
Legit 0% Suspicious 50% Cheating 100%

AI Analysis Report

Player Analysis
Aim ScoreNORMAL
44/100
-17% avg 53/100 for this ELO range
Reaction TimeNORMAL
0.79
+18% avg 0.66 for this ELO range
KASTNORMAL
62.30
-5% avg 65.85 for this ELO range
HLTV 2.0NORMAL
0.83
-18% avg 1.01 for this ELO range
Pre-AimNORMAL
10.8
avg: 10.4 for this ELO range
Time to KillNORMAL
1.147s
avg: 0.821s for this ELO range
Opening DuelsNORMAL
27.3%
avg: 48.7% for this ELO range
ADRNORMAL
67.0
avg: 75.2 for this ELO range
Account TrustSUSPICIOUS
15.7
avg: 36.7 for this ELO range
Social RiskSUSPICIOUS
54.3
avg: 33.2 for this ELO range
avg for this ELO range
Data sourcesSteam ProfileGames List hiddenStats hiddenLeetify not registeredFACEIT no account
(Probability: 0.08)

Concerning Indicators:

  • Social Network Risk: 28.6% 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?

ALEF-2- 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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