| ♕ __TATLI__ ♕ |'s avatar

| ♕ __TATLI__ ♕ |

76561199070015316 Steam ID
3061 hrs CS2 Hours
No VAC Ban
Analyzed by TrackBans AI on 07/12/2026 18:59
AI Cheat Probability
--%
Calculating...
Legit 0% Suspicious 50% Cheating 100%

AI Analysis Report

FACEIT ELO: 1264 · Level 6
Player Analysis
Aim ScoreELEVATED
37.5
+38% avg 27.1 for this ELO range
Headshot %NORMAL
37.4%
-14% avg 43.6% for this ELO range
AccuracyNORMAL
3.8%
-71% avg 13.1% for this ELO range
FACEIT K/DNORMAL
1.24
+14% avg 1.09 for this ELO range
Reaction TimeNORMAL
0.686s
avg: 0.644s for this ELO range
KASTNORMAL
72.2%
avg: 69.5% for this ELO range
HLTV 2.0NORMAL
1.25
avg: 1.11 for this ELO range
Pre-AimNORMAL
11.2
avg: 9.9 for this ELO range
Time to KillNORMAL
1.062s
avg: 0.739s for this ELO range
Opening DuelsNORMAL
51.0%
avg: 50.5% for this ELO range
ADRELEVATED
93.2
avg: 81.0 for this ELO range
Win RateNORMAL
51.2%
avg: 51.0% for this ELO range
AWP AccELEVATED
43.9%
avg: 36.8% for this ELO range
PerformanceSUSPICIOUS
73.2
avg: 46.7 for this ELO range
Account TrustNORMAL
47.9
avg: 41.7 for this ELO range
Social RiskNORMAL
27.7
avg: 28.5 for this ELO range
avg for this ELO range
Data sourcesSteam ProfileGames ListStatsLeetify not registeredFACEIT
(Probability: 0.01)

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?

| ♕ __TATLI__ ♕ | 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 3061 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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