<>NIK<>'s avatar

<>NIK<>

76561198430987773 Steam ID
2278 hrs CS2 Hours
No VAC Ban
Analyzed by TrackBans AI on 05/17/2026 22:37
AI Cheat Probability
--%
Calculating...
Legit 0% Suspicious 50% Cheating 100%
Model Confidence: --

AI Analysis Report

FACEIT ELO: 1265 · Level 6
CS2 Premier: 16,812
Player Analysis
Aim Score
22.7
-17% avg 27.3 for this ELO range
Headshot %
39.3%
-9% avg 43.0% for this ELO range
Accuracy
6.5%
-54% avg 14.3% for this ELO range
FACEIT K/D
1.38
+27% avg 1.09 for this ELO range
Reaction Time
0.668s
avg: 0.644s for this ELO range
KAST
76.5%
avg: 69.4% for this ELO range
HLTV 2.0
1.32
avg: 1.11 for this ELO range
Pre-Aim
11.8
avg: 9.9 for this ELO range
Time to Kill
0.735s
avg: 0.734s for this ELO range
Opening Duels
38.1%
avg: 50.8% for this ELO range
ADR
94.0
avg: 80.9 for this ELO range
Win Rate
50.7%
avg: 51.0% for this ELO range
AWP Acc
37.0%
avg: 36.6% for this ELO range
Performance
72.1
avg: 46.7 for this ELO range
Account Trust
48.9
avg: 42.2 for this ELO range
Social Risk
6.4
avg: 27.7 for this ELO range
Data sourcesSteam ProfileGames ListStatsLeetifyFACEIT
(Probability: 0.02)

Supporting Evidence:

  • Match History: Extensive history of 1220 matches suggests established legitimate play
  • Natural Variance: Performance fluctuations are within normal human ranges
  • Clean Network: Social connections show low ban rates typical of legitimate 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?

<>NIK<> 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 2278 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