Marcus Aurelius's avatar

Marcus Aurelius

76561198271822184 Steam ID
3188 hrs CS2 Hours
No VAC Ban
Analyzed by TrackBans AI on 05/09/2026 23:59
AI Cheat Probability
--%
Calculating...
Legit 0% Suspicious 50% Cheating 100%

AI Analysis Report

FACEIT ELO: 1470 · Level 7
CS2 Premier: 17,703
Player Analysis
Aim Score
24.8
-11% avg 27.8 for this ELO range
Headshot %
39.1%
-13% avg 44.7% for this ELO range
Accuracy
16.0%
+11% avg 14.5% for this ELO range
FACEIT K/D
1.25
+8% avg 1.16 for this ELO range
Reaction Time
0.577s
avg: 0.628s for this ELO range
KAST
75.6%
avg: 70.7% for this ELO range
HLTV 2.0
1.40
avg: 1.16 for this ELO range
Pre-Aim
9.3
avg: 9.6 for this ELO range
Time to Kill
0.703s
avg: 0.697s for this ELO range
Opening Duels
56.4%
avg: 52.5% for this ELO range
ADR
101.3
avg: 83.9 for this ELO range
Win Rate
55.2%
avg: 51.3% for this ELO range
AWP Acc
27.2%
avg: 36.6% for this ELO range
Performance
89.1
avg: 47.3 for this ELO range
Account Trust
66.5
avg: 44.0 for this ELO range
Social Risk
11.8
avg: 26.6 for this ELO range
Data sourcesSteam ProfileGames ListStatsLeetifyFACEIT
(Probability: 0.02)

Concerning Indicators:

  • Social Network Risk: 23.5% of friends have VAC bans - significantly higher than typical players

Supporting Evidence:

  • Match History: Extensive history of 306 matches suggests established legitimate play
  • Natural Variance: Performance fluctuations are within normal human ranges

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?

Marcus Aurelius 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 3188 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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