w1theNNN's avatar

w1theNNN

76561198875551282 Steam ID
0 hrs CS2 Hours
No VAC Ban
Analyzed by TrackBans AI on 07/02/2026 21:28
AI Cheat Probability
--%
Calculating...
Legit 0% Suspicious 50% Cheating 100%

AI Analysis Report

FACEIT ELO: 1996 · Level 9
Player Analysis
Aim Score
90/100
+27% avg 71/100 for this ELO range
FACEIT K/D
1.21
+3% avg 1.17 for this ELO range
Reaction Time
0.55
-11% avg 0.62 for this ELO range
KAST
76.50
+8% avg 71.11 for this ELO range
HLTV 2.0
1.70
avg: 1.18 for this ELO range
Pre-Aim
9.1
avg: 9.5 for this ELO range
Time to Kill
0.969s
avg: 0.677s for this ELO range
Opening Duels
46.1%
avg: 53.1% for this ELO range
ADR
119.8
avg: 85.2 for this ELO range
Account Trust
10.0
avg: 44.6 for this ELO range
Social Risk
75.0
avg: 26.5 for this ELO range
FACEIT WR%
50.0%
avg: 53.1% for this ELO range
FACEIT HS%
49.0%
avg: 46.2% for this ELO range
FACEIT Matches
5144
Data sourcesSteam ProfileGames List hiddenStats hiddenLeetifyFACEIT
(Probability: 0.06)

Concerning Indicators:

  • Performance Spike: Recent K/D improvement of +0.57 represents a dramatic and sudden change

Supporting Evidence:

  • Match History: Extensive history of 3803 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?

w1theNNN 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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