i spit monster white in ya mouth's avatar

i spit monster white in ya mouth

76561198026584217 Steam ID
0 hrs CS2 Hours
No VAC Ban
Analyzed by TrackBans AI on 05/17/2026 15:01
AI Cheat Probability
--%
Calculating...
Legit 0% Suspicious 50% Cheating 100%
Model Confidence: --

AI Analysis Report

FACEIT ELO: 1446 · Level 7
Player Analysis
FACEIT K/D
1.11
-4% avg 1.16 for this ELO range
Reaction Time
0.60
-5% avg 0.63 for this ELO range
KAST
71.90
+2% avg 70.65 for this ELO range
HLTV 2.0
1.26
+9% avg 1.16 for this ELO range
Pre-Aim
11.3
avg: 9.6 for this ELO range
Time to Kill
0.657s
avg: 0.697s for this ELO range
Opening Duels
41.8%
avg: 52.5% for this ELO range
ADR
93.5
avg: 83.9 for this ELO range
Account Trust
12.0
avg: 44.0 for this ELO range
Social Risk
65.0
avg: 26.6 for this ELO range
FACEIT WR%
50.8%
avg: 53.4% for this ELO range
FACEIT HS%
40.0%
avg: 44.9% for this ELO range
FACEIT Matches
307
Data sourcesSteam ProfileGames List hiddenStats hiddenLeetify not registeredFACEIT
(Probability: 0.01)

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?

i spit monster white in ya mouth 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 0 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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