Makaista ♿'s avatar

Makaista ♿

76561199625015692 Steam ID
0 hrs CS2 Hours
No VAC Ban
Analyzed by TrackBans AI on 05/19/2026 23:38
AI Cheat Probability
--%
Calculating...
Legit 0% Suspicious 50% Cheating 100%
Model Confidence: --

AI Analysis Report

FACEIT ELO: 1097 · Level 5
CS2 Premier: 11,599
Player Analysis
Aim Score
29.3
+8% avg 27.3 for this ELO range
Headshot %
58.2%
+35% avg 43.0% for this ELO range
FACEIT K/D
1.11
+2% avg 1.09 for this ELO range
Reaction Time
0.65
+0% avg 0.64 for this ELO range
KAST
70.8%
avg: 69.4% for this ELO range
HLTV 2.0
1.34
avg: 1.11 for this ELO range
Pre-Aim
9.6
avg: 9.9 for this ELO range
Time to Kill
0.642s
avg: 0.734s for this ELO range
Opening Duels
46.1%
avg: 50.8% for this ELO range
ADR
104.0
avg: 80.9 for this ELO range
Win Rate
51.8%
avg: 51.0% for this ELO range
AWP Acc
39.8%
avg: 36.6% for this ELO range
Performance
84.3
avg: 46.7 for this ELO range
Account Trust
30.0
avg: 42.2 for this ELO range
Social Risk
50.0
avg: 27.7 for this ELO range
FACEIT WR%
45.3%
avg: 54.4% for this ELO range
Data sourcesSteam ProfileGames List hiddenStatsLeetifyFACEIT
(Probability: 0.02)

Concerning Indicators:

  • Performance Spike: Recent K/D improvement of +0.50 represents a dramatic and sudden change

Supporting Evidence:

  • Match History: Extensive history of 582 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?

Makaista ♿ 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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