OAF | slycar's avatar

OAF | slycar

76561198039277085 Steam ID
7694 hrs CS2 Hours
No VAC Ban
Analyzed by TrackBans AI on 06/10/2026 20:31
AI Cheat Probability
--%
Calculating...
Legit 0% Suspicious 50% Cheating 100%

AI Analysis Report

FACEIT ELO: 1050 · Level 4
Player Analysis
Aim Score
38/100
-37% avg 60/100 for this ELO range
Headshot %
31.2%
-28% avg 43.6% for this ELO range
Accuracy
14.9%
+14% avg 13.1% for this ELO range
FACEIT K/D
1.32
+21% avg 1.09 for this ELO range
Reaction Time
0.650s
avg: 0.644s for this ELO range
KAST
69.5%
avg: 69.5% for this ELO range
HLTV 2.0
1.06
avg: 1.11 for this ELO range
Pre-Aim
12.9
avg: 9.9 for this ELO range
Time to Kill
1.095s
avg: 0.739s for this ELO range
Opening Duels
42.5%
avg: 50.5% for this ELO range
ADR
80.4
avg: 81.0 for this ELO range
Win Rate
58.3%
avg: 51.0% for this ELO range
AWP Acc
51.5%
avg: 36.8% for this ELO range
Performance
94.4
avg: 46.7 for this ELO range
Account Trust
48.5
avg: 41.7 for this ELO range
Social Risk
17.3
avg: 28.5 for this ELO range
This profile has been analyzed 6 times
Data sourcesSteam ProfileGames ListStatsLeetifyFACEIT
(Probability: 0.06)

Supporting Evidence:

  • Match History: Extensive history of 1027 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?

OAF | slycar 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 7694 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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