𝒮𝒫𝒪𝒩™'s avatar

𝒮𝒫𝒪𝒩™

76561198119819132 Steam ID
0 hrs CS2 Hours
No VAC Ban
Analyzed by TrackBans AI on 07/08/2026 06:49
AI Cheat Probability
--%
Calculating...
Legit 0% Suspicious 50% Cheating 100%

AI Analysis Report

FACEIT ELO: 985 · Level 4
CS2 Premier: 20,604
Player Analysis
Aim ScoreNORMAL
78/100
+50% avg 52/100 for this ELO range
FACEIT K/DELEVATED
1.09
+25% avg 0.87 for this ELO range
Reaction TimeNORMAL
0.65
-3% avg 0.67 for this ELO range
KASTNORMAL
72.90
+7% avg 67.90 for this ELO range
HLTV 2.0ELEVATED
1.24
avg: 1.05 for this ELO range
Pre-AimNORMAL
10.2
avg: 10.2 for this ELO range
Time to KillNORMAL
0.981s
avg: 0.790s for this ELO range
Opening DuelsNORMAL
41.0%
avg: 48.8% for this ELO range
ADRNORMAL
85.9
avg: 77.4 for this ELO range
Account TrustSUSPICIOUS
21.7
avg: 38.3 for this ELO range
Social RiskELEVATED
42.7
avg: 31.1 for this ELO range
FACEIT WR%NORMAL
49.0%
avg: 43.8% for this ELO range
FACEIT HS%NORMAL
43.0%
avg: 42.2% for this ELO range
FACEIT MatchesN/A
607
avg for this ELO range
Data sourcesSteam ProfileGames List hiddenStats hiddenLeetifyFACEIT
(Probability: 0.13)

Supporting Evidence:

  • Match History: Extensive history of 2654 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?

𝒮𝒫𝒪𝒩™ 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.

Scroll al inicio