stann
AI Analysis Report
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.
Frequently Asked Questions
What does TrackBans say about this player?
stann 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 3801 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.