atlastoby - roblox hacker's avatar

atlastoby - roblox hacker

76561198364976637 Steam ID
1182 hrs CS2 Hours
No VAC Ban
Analyzed by TrackBans AI on 05/24/2026 03:45
AI Cheat Probability
--%
Calculating...
Legit 0% Suspicious 50% Cheating 100%

AI Analysis Report

CS2 Premier: 19,957
Player Analysis
Aim Score
24.6
-6% avg 26.2 for this ELO range
Headshot %
39.0%
-1% avg 39.3% for this ELO range
Accuracy
14.5%
-1% avg 14.6% for this ELO range
K/D Ratio
1.04
+0% avg 1.04 for this ELO range
Reaction Time
0.523s
avg: 0.665s for this ELO range
KAST
69.0%
avg: 65.8% for this ELO range
HLTV 2.0
1.09
avg: 1.01 for this ELO range
Pre-Aim
5.6
avg: 10.4 for this ELO range
Time to Kill
0.693s
avg: 0.820s for this ELO range
Opening Duels
54.7%
avg: 48.8% for this ELO range
ADR
80.7
avg: 75.1 for this ELO range
Win Rate
49.6%
avg: 50.7% for this ELO range
AWP Acc
32.2%
avg: 36.8% for this ELO range
Performance
71.3
avg: 46.0 for this ELO range
Account Trust
50.5
avg: 36.7 for this ELO range
Social Risk
9.3
avg: 33.2 for this ELO range
Data sourcesSteam ProfileGames ListStatsLeetifyFACEIT no account
(Probability: 0.74)

Supporting Evidence:

  • Match History: Extensive history of 254 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?

atlastoby - roblox hacker 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 1182 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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