pilk consumer's avatar

pilk consumer

76561198287488061 Steam ID
0 hrs CS2 Hours
No VAC Ban
Analyzed by TrackBans AI on 07/01/2026 07:39
AI Cheat Probability
--%
Calculating...
Legit 0% Suspicious 50% Cheating 100%

AI Analysis Report

FACEIT ELO: 876 · Level 3
CS2 Premier: 17,370
Player Analysis
Aim Score
81/100
+57% avg 52/100 for this ELO range
Headshot %
43.7%
+4% avg 42.0% for this ELO range
Accuracy
12.8%
+7% avg 11.9% for this ELO range
FACEIT K/D
0.89
+2% avg 0.87 for this ELO range
Reaction Time
0.580s
avg: 0.665s for this ELO range
KAST
67.9%
avg: 67.9% for this ELO range
HLTV 2.0
1.15
avg: 1.05 for this ELO range
Pre-Aim
10.7
avg: 10.2 for this ELO range
Time to Kill
1.041s
avg: 0.790s for this ELO range
Opening Duels
47.8%
avg: 48.8% for this ELO range
ADR
87.7
avg: 77.4 for this ELO range
Win Rate
50.0%
avg: 50.7% for this ELO range
AWP Acc
31.1%
avg: 37.3% for this ELO range
Performance
70.3
avg: 45.8 for this ELO range
Account Trust
36.9
avg: 38.3 for this ELO range
Social Risk
52.8
avg: 31.1 for this ELO range
Data sourcesSteam ProfileGames ListStatsLeetifyFACEIT
(Probability: 0.02)

Supporting Evidence:

  • Match History: Extensive history of 729 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?

pilk consumer 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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