XANTARES;'s avatar

XANTARES;

76561198044118796 Steam ID
28884 hrs CS2 Hours
No VAC Ban
Analyzed by TrackBans AI on 05/20/2026 20:52
AI Cheat Probability
--%
Calculating...
Legit 0% Suspicious 50% Cheating 100%

AI Analysis Report

FACEIT ELO: 2488 · Level 10
Player Analysis
Aim Score
41.5
+42% avg 29.3 for this ELO range
Headshot %
77.6%
+59% avg 48.8% for this ELO range
Accuracy
19.2%
+28% avg 15.0% for this ELO range
FACEIT K/D
1.43
+19% avg 1.20 for this ELO range
Reaction Time
0.465s
avg: 0.596s for this ELO range
Pre-Aim
8.8
avg: 9.2 for this ELO range
Opening Duels
55.5%
avg: 55.4% for this ELO range
Win Rate
53.8%
avg: 51.7% for this ELO range
AWP Acc
50.5%
avg: 37.6% for this ELO range
Performance
80.3
avg: 48.1 for this ELO range
Account Trust
60.9
avg: 45.8 for this ELO range
Social Risk
0.9
avg: 25.7 for this ELO range
FACEIT WR%
60.5%
avg: 53.3% for this ELO range
FACEIT HS%
55.0%
avg: 47.6% for this ELO range
FACEIT Matches
4391
Hours
28884
avg: 3052 for this ELO range
This profile has been analyzed 7 times
Data sourcesSteam ProfileGames ListStatsLeetifyFACEIT
(Probability: 0.05)

Supporting Evidence:

  • Match History: Extensive history of 1990 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?

XANTARES; 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 28884 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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