(SWE) - AWP ➡️ 𓀓𓂸's avatar

(SWE) - AWP ➡️ 𓀓𓂸

76561199822857983 Steam ID
711 hrs CS2 Hours
YES VAC Ban
Analyzed by TrackBans AI on 07/10/2026 21:51
AI Cheat Probability
--%
Calculating...
Legit 0% Suspicious 50% Cheating 100%

AI Analysis Report

⚠️1 VAC ban on record — likely from another game (active CS2 player)
This account carries a VAC ban, but TrackBans analyses CS2 gameplay specifically and does not find clear cheating patterns here. The ban may originate from another game.
FACEIT ELO: 1000 · Level 4
Player Analysis
Aim ScoreNORMAL
27.0
+3% avg 26.4 for this ELO range
Headshot %ELEVATED
54.6%
+30% avg 42.0% for this ELO range
K/D RatioNORMAL
0.75
-28% avg 1.03 for this ELO range
Reaction TimeNORMAL
0.64
-4% avg 0.67 for this ELO range
KASTNORMAL
62.6%
avg: 67.9% for this ELO range
HLTV 2.0NORMAL
1.00
avg: 1.05 for this ELO range
Pre-AimELEVATED
8.6
avg: 10.2 for this ELO range
Time to KillNORMAL
1.112s
avg: 0.790s for this ELO range
Opening DuelsNORMAL
35.0%
avg: 48.8% for this ELO range
ADRNORMAL
75.8
avg: 77.4 for this ELO range
Win RateNORMAL
49.2%
avg: 50.7% for this ELO range
AWP AccELEVATED
44.7%
avg: 37.3% for this ELO range
PerformanceSUSPICIOUS
75.2
avg: 45.8 for this ELO range
Account TrustSUSPICIOUS
25.7
avg: 38.3 for this ELO range
Social RiskELEVATED
45.0
avg: 31.1 for this ELO range
HoursELEVATED
711
avg: 1025 for this ELO range
avg for this ELO range
Data sourcesSteam ProfileGames ListStatsLeetify not registeredFACEIT
(Probability: 0.45)

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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?

(SWE) - AWP ➡️ 𓀓𓂸 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 711 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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