Baby Goat's avatar

Baby Goat

76561199756576118 Steam ID
1508 hrs CS2 Hours
No VAC Ban
Analyzed by TrackBans AI on 07/03/2026 21:20
AI Cheat Probability
--%
Calculating...
Legit 0% Suspicious 50% Cheating 100%

AI Analysis Report

FACEIT ELO: 885 · Level 3
CS2 Premier: 13,631
Player Analysis
Aim Score
85/100
+63% avg 52/100 for this ELO range
Headshot %
55.8%
+33% avg 42.0% for this ELO range
FACEIT K/D
0.98
+12% avg 0.87 for this ELO range
Reaction Time
0.63
-6% avg 0.67 for this ELO range
KAST
72.0%
avg: 67.9% for this ELO range
HLTV 2.0
1.19
avg: 1.05 for this ELO range
Pre-Aim
10.1
avg: 10.2 for this ELO range
Time to Kill
1.057s
avg: 0.790s for this ELO range
Opening Duels
37.1%
avg: 48.8% for this ELO range
ADR
84.9
avg: 77.4 for this ELO range
Win Rate
55.9%
avg: 50.7% for this ELO range
AWP Acc
45.1%
avg: 37.3% for this ELO range
Performance
90.7
avg: 45.8 for this ELO range
Account Trust
42.1
avg: 38.3 for this ELO range
Social Risk
25.0
avg: 31.1 for this ELO range
FACEIT WR%
43.5%
avg: 43.8% for this ELO range
Data sourcesSteam ProfileGames ListStatsLeetifyFACEIT
(Probability: 0.03)

Supporting Evidence:

  • Match History: Extensive history of 573 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?

Baby Goat 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 1508 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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