tor3nt †'s avatar

tor3nt †

76561198061057162 Steam ID
7539 hrs CS2 Hours
No VAC Ban
Analyzed by TrackBans AI on 06/07/2026 17:44
AI Cheat Probability
--%
Calculating...
Legit 0% Suspicious 50% Cheating 100%

AI Analysis Report

FACEIT ELO: 1849 · Level 9
CS2 Premier: 24,257
Player Analysis
Aim Score
93/100
+32% avg 71/100 for this ELO range
Headshot %
55.1%
+17% avg 47.0% for this ELO range
Accuracy
17.1%
+29% avg 13.3% for this ELO range
FACEIT K/D
1.15
-2% avg 1.17 for this ELO range
Reaction Time
0.567s
avg: 0.617s for this ELO range
KAST
71.7%
avg: 71.1% for this ELO range
HLTV 2.0
1.24
avg: 1.18 for this ELO range
Pre-Aim
8.1
avg: 9.5 for this ELO range
Time to Kill
0.962s
avg: 0.677s for this ELO range
Opening Duels
54.4%
avg: 53.1% for this ELO range
ADR
88.4
avg: 85.2 for this ELO range
Win Rate
53.3%
avg: 51.4% for this ELO range
AWP Acc
37.9%
avg: 36.9% for this ELO range
Performance
80.4
avg: 47.5 for this ELO range
Account Trust
71.6
avg: 44.6 for this ELO range
Social Risk
5.0
avg: 26.5 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 2436 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?

tor3nt † 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 7539 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