M∆NE's avatar

M∆NE

76561199887734481 Steam ID
0 hrs CS2 Hours
No VAC Ban
Analyzed by TrackBans AI on 07/14/2026 01:10
AI Cheat Probability
--%
Calculating...
Legit 0% Suspicious 50% Cheating 100%

AI Analysis Report

FACEIT ELO: 1418 · Level 7
CS2 Premier: 18,882
Player Analysis
Aim ScoreNORMAL
69/100
+3% avg 67/100 for this ELO range
FACEIT K/DELEVATED
1.37
+18% avg 1.16 for this ELO range
Reaction TimeNORMAL
0.61
-2% avg 0.63 for this ELO range
KASTNORMAL
69.60
-2% avg 70.70 for this ELO range
HLTV 2.0NORMAL
1.12
avg: 1.16 for this ELO range
Pre-AimNORMAL
8.4
avg: 9.6 for this ELO range
Time to KillNORMAL
0.964s
avg: 0.702s for this ELO range
Opening DuelsNORMAL
41.1%
avg: 52.2% for this ELO range
ADRNORMAL
82.2
avg: 84.0 for this ELO range
Account TrustSUSPICIOUS
15.2
avg: 43.4 for this ELO range
Social RiskSUSPICIOUS
55.0
avg: 27.5 for this ELO range
FACEIT WR%NORMAL
58.1%
avg: 53.5% for this ELO range
FACEIT HS%NORMAL
46.0%
avg: 44.9% for this ELO range
FACEIT MatchesN/A
43
avg for this ELO range
Data sourcesSteam ProfileGames List hiddenStats hiddenLeetifyFACEIT
(Probability: 0.05)

Concerning Indicators:

  • Performance Spike: Recent K/D improvement of +0.91 represents a dramatic and sudden change

Supporting Evidence:

  • Match History: Extensive history of 928 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?

M∆NE 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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