sɴᴏᴏᴘʏᴅᴏᴏ's avatar

sɴᴏᴏᴘʏᴅᴏᴏ

76561199022271363 Steam ID
966 hrs CS2 Hours
No VAC Ban
Analyzed by TrackBans AI on 06/12/2026 23:05
AI Cheat Probability
--%
Calculating...
Legit 0% Suspicious 50% Cheating 100%

AI Analysis Report

FACEIT ELO: 1396 · Level 7
Player Analysis
Aim Score
85/100
+27% avg 67/100 for this ELO range
FACEIT K/D
1.53
+32% avg 1.16 for this ELO range
Reaction Time
0.52
-17% avg 0.63 for this ELO range
KAST
76.00
+8% avg 70.70 for this ELO range
HLTV 2.0
1.45
avg: 1.16 for this ELO range
Pre-Aim
8.6
avg: 9.6 for this ELO range
Time to Kill
0.829s
avg: 0.702s for this ELO range
Opening Duels
45.8%
avg: 52.2% for this ELO range
ADR
99.6
avg: 84.0 for this ELO range
Account Trust
37.3
avg: 43.4 for this ELO range
Social Risk
30.0
avg: 27.5 for this ELO range
FACEIT WR%
72.7%
avg: 53.5% for this ELO range
FACEIT HS%
48.0%
avg: 44.9% for this ELO range
FACEIT Matches
22
Hours
966
avg: 1834 for this ELO range
This profile has been analyzed 6 times
Data sourcesSteam ProfileGames ListStats hiddenLeetify not registeredFACEIT
(Probability: 0.17)

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?

sɴᴏᴏᴘʏᴅᴏᴏ 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 966 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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