K's avatar

K

76561198254341118 Steam ID
2004 hrs CS2 Hours
No VAC Ban
Analyzed by TrackBans AI on 05/24/2026 17:53
AI Cheat Probability
--%
Calculating...
Legit 0% Suspicious 50% Cheating 100%

AI Analysis Report

FACEIT ELO: 1468 · Level 7
CS2 Premier: 18,458
Player Analysis
Aim Score
23.6
-15% avg 27.8 for this ELO range
Headshot %
38.4%
-14% avg 44.7% for this ELO range
Accuracy
8.7%
-40% avg 14.5% for this ELO range
FACEIT K/D
1.09
-6% avg 1.16 for this ELO range
Reaction Time
0.587s
avg: 0.628s for this ELO range
KAST
73.6%
avg: 70.7% for this ELO range
HLTV 2.0
1.23
avg: 1.16 for this ELO range
Pre-Aim
7.2
avg: 9.6 for this ELO range
Time to Kill
0.672s
avg: 0.697s for this ELO range
Opening Duels
48.3%
avg: 52.5% for this ELO range
ADR
91.5
avg: 83.9 for this ELO range
Win Rate
49.9%
avg: 51.3% for this ELO range
AWP Acc
34.1%
avg: 36.6% for this ELO range
Performance
72.0
avg: 47.3 for this ELO range
Account Trust
56.0
avg: 44.0 for this ELO range
Social Risk
16.1
avg: 26.6 for this ELO range
This profile has been analyzed 2 times
Data sourcesSteam ProfileGames ListStatsLeetifyFACEIT
(Probability: 0.01)

Supporting Evidence:

  • Match History: Extensive history of 1858 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?

K 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 2004 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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