b1f's avatar

b1f

76561199793124119 Steam ID
2866 hrs CS2 Hours
No VAC Ban
Analyzed by TrackBans AI on 07/03/2026 01:30
AI Cheat Probability
--%
Calculating...
Legit 0% Suspicious 50% Cheating 100%

AI Analysis Report

FACEIT ELO: 600 · Level 2
Player Analysis
Aim Score
44/100
-2% avg 45/100 for this ELO range
Headshot %
26.5%
-36% avg 41.2% for this ELO range
K/D Ratio
0.91
-6% avg 0.96 for this ELO range
Reaction Time
0.65
-5% avg 0.68 for this ELO range
KAST
73.8%
avg: 66.9% for this ELO range
HLTV 2.0
1.13
avg: 1.01 for this ELO range
Pre-Aim
8.6
avg: 10.5 for this ELO range
Time to Kill
1.153s
avg: 0.813s for this ELO range
Opening Duels
35.4%
avg: 47.0% for this ELO range
ADR
79.8
avg: 74.7 for this ELO range
Win Rate
49.6%
avg: 49.9% for this ELO range
AWP Acc
36.3%
avg: 36.4% for this ELO range
Performance
57.9
avg: 44.3 for this ELO range
Account Trust
37.0
avg: 38.5 for this ELO range
Social Risk
50.0
avg: 30.7 for this ELO range
Hours
2866
avg: 1096 for this ELO range
Data sourcesSteam ProfileGames ListStatsLeetify not registeredFACEIT
(Probability: 0.11)

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?

b1f 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 2866 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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