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When I Win?

76561199387379115 Steam ID
1900 hrs CS2 Hours
No VAC Ban
Analyzed by TrackBans AI on 08/13/2026 19:52
AI Cheat Probability
--%
Calculating...
Legit 0% Suspicious 50% Cheating 100%

AI Analysis Report

FACEIT ELO: 1365 · Level 7
Player Analysis
Aim ScoreNORMAL
65/100
-3% avg 67/100 for this ELO range
Headshot %NORMAL
49.6%
+9% avg 45.4% for this ELO range
AccuracyNORMAL
5.0%
-62% avg 13.2% for this ELO range
FACEIT K/DNORMAL
1.02
-12% avg 1.16 for this ELO range
Reaction TimeNORMAL
0.634s
avg: 0.628s for this ELO range
Pre-AimNORMAL
11.0
avg: 9.6 for this ELO range
Opening DuelsNORMAL
35.5%
avg: 52.2% for this ELO range
Win RateNORMAL
49.7%
avg: 51.3% for this ELO range
AWP AccELEVATED
54.0%
avg: 36.9% for this ELO range
PerformanceELEVATED
64.2
avg: 47.3 for this ELO range
Account TrustNORMAL
42.8
avg: 43.4 for this ELO range
Social RiskNORMAL
28.8
avg: 27.5 for this ELO range
FACEIT WR%NORMAL
48.8%
avg: 53.5% for this ELO range
FACEIT HS%NORMAL
46.0%
avg: 44.9% for this ELO range
FACEIT MatchesN/A
1893
HoursNORMAL
1900
avg: 1834 for this ELO range
avg for this ELO range
Data sourcesSteam ProfileGames ListStatsLeetifyFACEIT
(Probability: 0.02)

Supporting Evidence:

  • 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?

When I Win? 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 1900 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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