how do i play's avatar

how do i play

76561199492720941 Steam ID
211 hrs CS2 Hours
No VAC Ban
Analyzed by TrackBans AI on 04/27/2026 10:24
AI Cheat Probability
--%
Calculating...
Legit 0% Suspicious 50% Cheating 100%

AI Analysis Report

This player has 1 VAC ban, but has been actively playing CS2 recently (7.1 hours in the last 2 weeks), suggesting the ban is likely from another game.
Player Analysis
Aim Score
31.2
+19% avg 26.2 for this ELO range
Headshot %
42.8%
-5% avg 45.0% for this ELO range
Accuracy
13.2%
-9% avg 14.6% for this ELO range
K/D Ratio
1.63
-48% avg 3.15 for this ELO range
Win Rate
56.8%
avg: 90.6% for this ELO range
AWP Acc
49.8%
avg: 36.9% for this ELO range
Performance
99.4
avg: 83.5 for this ELO range
Account Trust
23.7
avg: 36.7 for this ELO range
Social Risk
42.8
avg: 33.2 for this ELO range
Hours
211
avg: 911 for this ELO range
Data sourcesSteam ProfileGames ListStatsLeetify not registeredFACEIT no account
(Probability: 0.45)

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?

how do i play 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 211 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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