☕ Maintaining it costs money
Logo TrackBans Reducido
chaser's avatar

chaser

76561199572246435 Steam ID
408 hrs CS2 Hours
No VAC Ban
Analyzed by TrackBans AI on 10/06/2026 00:05
AI Cheat Probability
--%
Calculating...
Legit 0% Suspicious 50% Cheating 100%

AI Analysis Report

FACEIT ELO: 1000 · Level 4
Player Analysis
Aim ScoreNORMAL
34/100
-34% avg 52/100 for this ELO range
Headshot %NORMAL
47.7%
+14% avg 42.0% for this ELO range
K/D RatioNORMAL
0.77
-26% avg 1.03 for this ELO range
Reaction TimeNORMAL
0.67
+1% avg 0.67 for this ELO range
KASTNORMAL
66.5%
avg: 67.9% for this ELO range
HLTV 2.0NORMAL
1.06
avg: 1.05 for this ELO range
Pre-AimNORMAL
12.2
avg: 10.2 for this ELO range
Time to KillNORMAL
1.029s
avg: 0.790s for this ELO range
Opening DuelsNORMAL
31.8%
avg: 48.8% for this ELO range
ADRNORMAL
75.4
avg: 77.4 for this ELO range
Win RateNORMAL
49.9%
avg: 50.7% for this ELO range
AWP AccNORMAL
42.3%
avg: 37.3% for this ELO range
PerformanceSUSPICIOUS
72.2
avg: 45.8 for this ELO range
Account TrustSUSPICIOUS
30.2
avg: 38.3 for this ELO range
Social RiskELEVATED
39.4
avg: 31.1 for this ELO range
HoursSUSPICIOUS
408
avg: 1025 for this ELO range
avg for this ELO range
Data sourcesSteam ProfileGames ListStatsLeetify not registeredFACEIT
(Probability: 0.07)

Concerning Indicators:

  • Social Network Risk: 18.8% 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?

chaser 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 408 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.

Scroll al inicio