Arm&HammerLiquidLaundryDetergent's avatar

Arm&HammerLiquidLaundryDetergent

76561198413503095 Steam ID
0 hrs CS2 Hours
No VAC Ban
Analyzed by TrackBans AI on 07/10/2026 19:44
AI Cheat Probability
--%
Calculating...
Legit 0% Suspicious 50% Cheating 100%

AI Analysis Report

FACEIT ELO: 906 · Level 4
Player Analysis
Aim ScoreNORMAL
75/100
+44% avg 52/100 for this ELO range
FACEIT K/DNORMAL
0.87
-0% avg 0.87 for this ELO range
Reaction TimeNORMAL
0.58
-14% avg 0.67 for this ELO range
KASTNORMAL
66.90
-1% avg 67.90 for this ELO range
HLTV 2.0NORMAL
0.93
avg: 1.05 for this ELO range
Pre-AimNORMAL
9.6
avg: 10.2 for this ELO range
Time to KillNORMAL
1.002s
avg: 0.790s for this ELO range
Opening DuelsNORMAL
43.3%
avg: 48.8% for this ELO range
ADRNORMAL
74.1
avg: 77.4 for this ELO range
Account TrustSUSPICIOUS
19.1
avg: 38.3 for this ELO range
Social RiskSUSPICIOUS
52.2
avg: 31.1 for this ELO range
FACEIT WR%NORMAL
47.2%
avg: 43.8% for this ELO range
FACEIT HS%NORMAL
27.0%
avg: 42.2% for this ELO range
FACEIT MatchesN/A
178
avg for this ELO range
Data sourcesSteam ProfileGames List hiddenStats hiddenLeetifyFACEIT
(Probability: 0.04)

Supporting Evidence:

  • Match History: Extensive history of 2500 matches suggests established legitimate play
  • Natural Variance: Performance fluctuations are within normal human ranges
  • 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?

Arm&HammerLiquidLaundryDetergent 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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