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-_-'s avatar

-_-

76561199088659587 Steam ID
708 hrs CS2 Hours
No VAC Ban
Analyzed by TrackBans AI on 08/25/2026 00:20
AI Cheat Probability
--%
Calculating...
Legit 0% Suspicious 50% Cheating 100%

AI Analysis Report

FACEIT ELO: 1048 · Level 4
Player Analysis
Aim ScoreNORMAL
33/100
-45% avg 60/100 for this ELO range
Headshot %NORMAL
48.0%
+10% avg 43.6% for this ELO range
AccuracyNORMAL
12.0%
-8% avg 13.1% for this ELO range
FACEIT K/DNORMAL
0.66
-39% avg 1.09 for this ELO range
Reaction TimeNORMAL
0.778s
avg: 0.644s for this ELO range
KASTNORMAL
59.2%
avg: 69.5% for this ELO range
HLTV 2.0NORMAL
0.63
avg: 1.11 for this ELO range
Pre-AimNORMAL
8.7
avg: 9.9 for this ELO range
Time to KillNORMAL
1.238s
avg: 0.739s for this ELO range
Opening DuelsNORMAL
30.8%
avg: 50.5% for this ELO range
ADRNORMAL
47.6
avg: 81.0 for this ELO range
Win RateNORMAL
47.6%
avg: 51.0% for this ELO range
AWP AccELEVATED
48.8%
avg: 36.8% for this ELO range
PerformanceSUSPICIOUS
75.0
avg: 46.7 for this ELO range
Account TrustNORMAL
44.2
avg: 41.7 for this ELO range
Social RiskELEVATED
41.6
avg: 28.5 for this ELO range
avg for this ELO range
Data sourcesSteam ProfileGames ListStatsLeetifyFACEIT
(Probability: 0.08)

Concerning Indicators:

  • Social Network Risk: 23.2% 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?

-_- 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 708 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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