储君's avatar

储君

76561199800713017 Steam ID
231 hrs CS2 Hours
No VAC Ban
Analyzed by TrackBans AI on 05/17/2026 07:06
AI Cheat Probability
--%
Calculating...
Legit 0% Suspicious 50% Cheating 100%
Model Confidence: --

AI Analysis Report

Player Analysis
Aim Score
25.5
-3% avg 26.2 for this ELO range
Headshot %
49.3%
+25% avg 39.3% for this ELO range
K/D Ratio
1.24
+20% avg 1.04 for this ELO range
Reaction Time
0.71
+6% avg 0.66 for this ELO range
KAST
75.0%
avg: 65.8% for this ELO range
HLTV 2.0
1.16
avg: 1.01 for this ELO range
Pre-Aim
9.5
avg: 10.4 for this ELO range
Time to Kill
0.887s
avg: 0.820s for this ELO range
Opening Duels
35.7%
avg: 48.8% for this ELO range
ADR
83.5
avg: 75.1 for this ELO range
Win Rate
51.7%
avg: 50.7% for this ELO range
AWP Acc
43.6%
avg: 36.8% for this ELO range
Performance
75.4
avg: 46.0 for this ELO range
Account Trust
22.9
avg: 36.7 for this ELO range
Social Risk
65.0
avg: 33.2 for this ELO range
Hours
231
avg: 912 for this ELO range
Data sourcesSteam ProfileGames ListStatsLeetify not registeredFACEIT no account
(Probability: 0.05)

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?

储君 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 231 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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