JaVaD_r80's avatar

JaVaD_r80

76561198443569272 Steam ID
2115 hrs CS2 Hours
No VAC Ban
Analyzed by TrackBans AI on 07/02/2026 23:00
AI Cheat Probability
--%
Calculating...
Legit 0% Suspicious 50% Cheating 100%

AI Analysis Report

FACEIT ELO: 750 · Level 2
Player Analysis
Aim Score
68/100
+52% avg 45/100 for this ELO range
Headshot %
39.6%
-4% avg 41.2% for this ELO range
Accuracy
2.6%
-78% avg 11.8% for this ELO range
K/D Ratio
1.24
+28% avg 0.96 for this ELO range
Reaction Time
0.650s
avg: 0.682s for this ELO range
KAST
73.5%
avg: 66.9% for this ELO range
HLTV 2.0
1.18
avg: 1.01 for this ELO range
Pre-Aim
9.7
avg: 10.5 for this ELO range
Time to Kill
1.102s
avg: 0.813s for this ELO range
Opening Duels
45.3%
avg: 47.0% for this ELO range
ADR
89.4
avg: 74.7 for this ELO range
Win Rate
65.0%
avg: 49.9% for this ELO range
AWP Acc
43.2%
avg: 36.4% for this ELO range
Performance
80.5
avg: 44.3 for this ELO range
Account Trust
66.6
avg: 38.5 for this ELO range
Social Risk
25.0
avg: 30.7 for this ELO range
Data sourcesSteam ProfileGames ListStatsLeetifyFACEIT
(Probability: 0.14)

Supporting Evidence:

  • Match History: Extensive history of 1069 matches suggests established legitimate play
  • Natural Variance: Performance fluctuations are within normal human ranges

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?

JaVaD_r80 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 2115 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