Caner Sinsioğlu's avatar

Caner Sinsioğlu

76561199582009810 Steam ID
532 hrs CS2 Hours
No VAC Ban
Analyzed by TrackBans AI on 07/09/2026 02:25
AI Cheat Probability
--%
Calculating...
Legit 0% Suspicious 50% Cheating 100%

AI Analysis Report

Player Analysis
Aim ScoreNORMAL
23.5
-10% avg 26.1 for this ELO range
Headshot %ELEVATED
46.0%
+16% avg 39.6% for this ELO range
K/D RatioNORMAL
0.88
-15% avg 1.03 for this ELO range
Reaction TimeNORMAL
0.71
+7% avg 0.66 for this ELO range
KASTNORMAL
69.0%
avg: 65.8% for this ELO range
HLTV 2.0NORMAL
1.12
avg: 1.01 for this ELO range
Pre-AimNORMAL
13.2
avg: 10.4 for this ELO range
Time to KillNORMAL
1.075s
avg: 0.821s for this ELO range
Opening DuelsNORMAL
53.3%
avg: 48.7% for this ELO range
ADRNORMAL
80.4
avg: 75.2 for this ELO range
Win RateNORMAL
51.4%
avg: 50.7% for this ELO range
AWP AccNORMAL
36.0%
avg: 36.9% for this ELO range
PerformanceSUSPICIOUS
81.9
avg: 46.0 for this ELO range
Account TrustNORMAL
45.9
avg: 36.7 for this ELO range
Social RiskNORMAL
20.0
avg: 33.2 for this ELO range
HoursSUSPICIOUS
532
avg: 913 for this ELO range
avg for this ELO range
Data sourcesSteam ProfileGames ListStatsLeetify not registeredFACEIT
(Probability: 0.05)

Supporting Evidence:

  • 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?

Caner Sinsioğlu 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 532 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