-Xibling's avatar

-Xibling

76561198199181137 Steam ID
3515 hrs CS2 Hours
No VAC Ban
Analyzed by TrackBans AI on 07/15/2026 01:09
AI Cheat Probability
--%
Calculating...
Legit 0% Suspicious 50% Cheating 100%

AI Analysis Report

FACEIT ELO: 1402 · Level 7
Player Analysis
Aim ScoreNORMAL
28.9
+5% avg 27.6 for this ELO range
Headshot %NORMAL
50.1%
+11% avg 45.4% for this ELO range
AccuracyELEVATED
17.0%
+28% avg 13.2% for this ELO range
FACEIT K/DELEVATED
1.38
+19% avg 1.16 for this ELO range
Reaction TimeNORMAL
0.589s
avg: 0.628s for this ELO range
KASTNORMAL
69.7%
avg: 70.7% for this ELO range
HLTV 2.0NORMAL
1.25
avg: 1.16 for this ELO range
Pre-AimSUSPICIOUS
7.3
avg: 9.6 for this ELO range
Time to KillNORMAL
1.013s
avg: 0.702s for this ELO range
Opening DuelsNORMAL
51.3%
avg: 52.2% for this ELO range
ADRNORMAL
91.5
avg: 84.0 for this ELO range
Win RateNORMAL
49.5%
avg: 51.3% for this ELO range
AWP AccNORMAL
31.5%
avg: 36.9% for this ELO range
PerformanceSUSPICIOUS
73.6
avg: 47.3 for this ELO range
Account TrustNORMAL
59.4
avg: 43.4 for this ELO range
Social RiskELEVATED
38.4
avg: 27.5 for this ELO range
avg for this ELO range
Data sourcesSteam ProfileGames ListStatsLeetify not registeredFACEIT
(Probability: 0.03)

Concerning Indicators:

  • Social Network Risk: 26.8% of friends have VAC bans - significantly higher than typical 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?

-Xibling 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 3515 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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