гендер-склонник's avatar

гендер-склонник

76561199212511357 Steam ID
4868 hrs CS2 Hours
No VAC Ban
Analyzed by TrackBans AI on 07/05/2026 20:31
AI Cheat Probability
--%
Calculating...
Legit 0% Suspicious 50% Cheating 100%

AI Analysis Report

FACEIT ELO: 2045 · Level 10
CS2 Premier: 28,354
Player Analysis
Aim Score
88/100
+13% avg 78/100 for this ELO range
Headshot %
53.0%
+7% avg 49.5% for this ELO range
Accuracy
6.4%
-54% avg 13.7% for this ELO range
FACEIT K/D
1.35
+12% avg 1.20 for this ELO range
Reaction Time
0.515s
avg: 0.596s for this ELO range
KAST
73.5%
avg: 72.3% for this ELO range
HLTV 2.0
1.20
avg: 1.24 for this ELO range
Pre-Aim
9.3
avg: 9.2 for this ELO range
Time to Kill
0.978s
avg: 0.642s for this ELO range
Opening Duels
43.2%
avg: 55.2% for this ELO range
ADR
87.7
avg: 88.8 for this ELO range
Win Rate
52.2%
avg: 51.7% for this ELO range
AWP Acc
41.0%
avg: 37.9% for this ELO range
Performance
77.5
avg: 48.1 for this ELO range
Account Trust
54.2
avg: 45.5 for this ELO range
Social Risk
25.0
avg: 26.2 for this ELO range
Data sourcesSteam ProfileGames ListStatsLeetifyFACEIT
(Probability: 0.02)

Supporting Evidence:

  • Match History: Extensive history of 3362 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?

гендер-склонник 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 4868 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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