_Kvachi's avatar

_Kvachi

76561198695241807 Steam ID
0 hrs CS2 Hours
No VAC Ban
Analyzed by TrackBans AI on 07/12/2026 11:44
AI Cheat Probability
--%
Calculating...
Legit 0% Suspicious 50% Cheating 100%

AI Analysis Report

FACEIT ELO: 765 · Level 3
Player Analysis
Aim ScoreNORMAL
54/100
+20% avg 45/100 for this ELO range
FACEIT K/DNORMAL
0.93
+10% avg 0.84 for this ELO range
Reaction TimeNORMAL
0.65
-4% avg 0.68 for this ELO range
KASTNORMAL
56.50
-16% avg 66.90 for this ELO range
HLTV 2.0NORMAL
0.91
avg: 1.01 for this ELO range
Pre-AimNORMAL
12.0
avg: 10.5 for this ELO range
Opening DuelsNORMAL
50.6%
avg: 47.0% for this ELO range
ADRNORMAL
72.5
avg: 74.7 for this ELO range
Account TrustSUSPICIOUS
11.2
avg: 38.5 for this ELO range
Social RiskSUSPICIOUS
65.0
avg: 30.7 for this ELO range
FACEIT WR%NORMAL
44.2%
avg: 39.0% for this ELO range
FACEIT HS%NORMAL
32.0%
avg: 40.7% for this ELO range
FACEIT MatchesN/A
77
avg for this ELO range
Data sourcesSteam ProfileGames List hiddenStats hiddenLeetify not registeredFACEIT
(Probability: 0.04)

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?

_Kvachi 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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