log1c<3's avatar

log1c<3

76561198897741720 Steam ID
1601 hrs CS2 Hours
No VAC Ban
Analyzed by TrackBans AI on 07/04/2026 00:16
AI Cheat Probability
--%
Calculating...
Legit 0% Suspicious 50% Cheating 100%

AI Analysis Report

FACEIT ELO: 2194 · Level 10
CS2 Premier: 19,879
Player Analysis
Aim Score
84/100
+7% avg 78/100 for this ELO range
Headshot %
53.6%
+8% avg 49.5% for this ELO range
Accuracy
0.1%
-99% avg 13.7% for this ELO range
FACEIT K/D
1.04
-14% avg 1.20 for this ELO range
Reaction Time
0.622s
avg: 0.596s for this ELO range
KAST
67.1%
avg: 72.3% for this ELO range
HLTV 2.0
1.09
avg: 1.24 for this ELO range
Pre-Aim
9.2
avg: 9.2 for this ELO range
Time to Kill
1.117s
avg: 0.642s for this ELO range
Opening Duels
46.6%
avg: 55.2% for this ELO range
ADR
83.6
avg: 88.8 for this ELO range
Win Rate
51.0%
avg: 51.7% for this ELO range
AWP Acc
41.9%
avg: 37.9% for this ELO range
Performance
69.7
avg: 48.1 for this ELO range
Account Trust
35.8
avg: 45.5 for this ELO range
Social Risk
40.0
avg: 26.2 for this ELO range
Data sourcesSteam ProfileGames ListStatsLeetifyFACEIT
(Probability: 0.01)

Concerning Indicators:

  • Performance Spike: Recent K/D improvement of +1.18 represents a dramatic and sudden change

Supporting Evidence:

  • Match History: Extensive history of 1030 matches suggests established legitimate play
  • Natural Variance: Performance fluctuations are within normal human ranges

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?

log1c<3 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 1601 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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