ASHE 𓆉's avatar

ASHE 𓆉

76561198049700508 Steam ID
11248 hrs CS2 Hours
No VAC Ban
Analyzed by TrackBans AI on 05/10/2026 02:01
AI Cheat Probability
--%
Calculating...
Legit 0% Suspicious 50% Cheating 100%

AI Analysis Report

FACEIT ELO: 1935 · Level 9
CS2 Premier: 25,728
Player Analysis
Aim Score
32.4
+15% avg 28.2 for this ELO range
Headshot %
61.3%
+32% avg 46.3% for this ELO range
Accuracy
15.8%
+8% avg 14.6% for this ELO range
FACEIT K/D
1.27
+8% avg 1.17 for this ELO range
Reaction Time
0.567s
avg: 0.617s for this ELO range
KAST
75.7%
avg: 71.1% for this ELO range
HLTV 2.0
1.33
avg: 1.18 for this ELO range
Pre-Aim
9.1
avg: 9.5 for this ELO range
Time to Kill
0.598s
avg: 0.671s for this ELO range
Opening Duels
32.0%
avg: 53.3% for this ELO range
ADR
92.7
avg: 85.1 for this ELO range
Win Rate
51.5%
avg: 51.4% for this ELO range
AWP Acc
36.2%
avg: 36.6% for this ELO range
Performance
72.2
avg: 47.5 for this ELO range
Account Trust
84.7
avg: 45.1 for this ELO range
Social Risk
0.7
avg: 25.8 for this ELO range
Data sourcesSteam ProfileGames ListStatsLeetifyFACEIT
(Probability: 0.03)

Supporting Evidence:

  • Match History: Extensive history of 3637 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?

ASHE 𓆉 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 11248 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 β€” 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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