IPEEDINCOUCH's avatar

IPEEDINCOUCH

76561198823118363 Steam ID
741 hrs CS2 Hours
No VAC Ban
Analyzed by TrackBans AI on 07/09/2026 05:38
AI Cheat Probability
--%
Calculating...
Legit 0% Suspicious 50% Cheating 100%

AI Analysis Report

FACEIT ELO: 639 · Level 2
Player Analysis
Aim ScoreNORMAL
23.9
-7% avg 25.8 for this ELO range
Headshot %NORMAL
35.3%
-14% avg 41.2% for this ELO range
AccuracyNORMAL
12.4%
+5% avg 11.8% for this ELO range
FACEIT K/DNORMAL
0.73
-13% avg 0.84 for this ELO range
Reaction TimeNORMAL
0.624s
avg: 0.682s for this ELO range
KASTNORMAL
69.9%
avg: 66.9% for this ELO range
HLTV 2.0NORMAL
1.03
avg: 1.01 for this ELO range
Pre-AimNORMAL
10.4
avg: 10.5 for this ELO range
Time to KillNORMAL
1.207s
avg: 0.813s for this ELO range
Opening DuelsNORMAL
44.9%
avg: 47.0% for this ELO range
ADRNORMAL
77.6
avg: 74.7 for this ELO range
Win RateNORMAL
47.4%
avg: 49.9% for this ELO range
AWP AccNORMAL
33.6%
avg: 36.4% for this ELO range
PerformanceELEVATED
66.4
avg: 44.3 for this ELO range
Account TrustNORMAL
43.6
avg: 38.5 for this ELO range
Social RiskNORMAL
10.1
avg: 30.7 for this ELO range
avg for this ELO range
Data sourcesSteam ProfileGames ListStatsLeetify not registeredFACEIT
(Probability: 0.04)

Concerning Indicators:

  • Social Network Risk: 10.2% of friends have VAC bans - significantly higher than typical 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?

IPEEDINCOUCH 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 741 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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