*GodLike's avatar

*GodLike

76561198202361170 Steam ID
2886 hrs CS2 Hours
No VAC Ban
Analyzed by TrackBans AI on 05/12/2026 18:40
AI Cheat Probability
--%
Calculating...
Legit 0% Suspicious 50% Cheating 100%

AI Analysis Report

FACEIT ELO: 677 · Level 2
CS2 Premier: 4,025
Player Analysis
Aim Score
21.8
-16% avg 26.0 for this ELO range
Headshot %
34.5%
-16% avg 40.9% for this ELO range
Accuracy
9.6%
-26% avg 12.9% for this ELO range
FACEIT K/D
0.88
+5% avg 0.84 for this ELO range
Reaction Time
0.636s
avg: 0.682s for this ELO range
KAST
66.3%
avg: 66.9% for this ELO range
HLTV 2.0
1.07
avg: 1.01 for this ELO range
Pre-Aim
11.6
avg: 10.5 for this ELO range
Time to Kill
0.846s
avg: 0.809s for this ELO range
Opening Duels
56.8%
avg: 47.2% for this ELO range
ADR
82.9
avg: 74.7 for this ELO range
Win Rate
48.7%
avg: 49.8% for this ELO range
AWP Acc
31.0%
avg: 36.2% for this ELO range
Performance
61.9
avg: 44.4 for this ELO range
Account Trust
54.4
avg: 38.7 for this ELO range
Social Risk
5.0
avg: 30.3 for this ELO range
Data sourcesSteam ProfileGames ListStatsLeetifyFACEIT
(Probability: 0.01)

Supporting Evidence:

  • Match History: Extensive history of 1126 matches suggests established legitimate play
  • Natural Variance: Performance fluctuations are within normal human ranges
  • Clean Network: Social connections show low ban rates typical of legitimate 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?

*GodLike 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 2886 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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