-cWadra-'s avatar

-cWadra-

76561199061886475 Steam ID
6089 hrs CS2 Hours
No VAC Ban
Analyzed by TrackBans AI on 07/09/2026 16:12
AI Cheat Probability
--%
Calculating...
Legit 0% Suspicious 50% Cheating 100%

AI Analysis Report

FACEIT ELO: 2405 · Level 10
CS2 Premier: 14,271
Player Analysis
Aim ScoreELEVATED
87/100
+11% avg 78/100 for this ELO range
Headshot %NORMAL
51.6%
+4% avg 49.5% for this ELO range
AccuracyNORMAL
8.1%
-41% avg 13.7% for this ELO range
FACEIT K/DNORMAL
1.20
-0% avg 1.20 for this ELO range
Reaction TimeNORMAL
0.567s
avg: 0.596s for this ELO range
KASTNORMAL
72.2%
avg: 72.3% for this ELO range
HLTV 2.0NORMAL
1.19
avg: 1.24 for this ELO range
Pre-AimNORMAL
8.7
avg: 9.2 for this ELO range
Time to KillNORMAL
1.000s
avg: 0.642s for this ELO range
Opening DuelsNORMAL
52.2%
avg: 55.2% for this ELO range
ADRNORMAL
81.9
avg: 88.8 for this ELO range
Win RateNORMAL
51.6%
avg: 51.7% for this ELO range
AWP AccELEVATED
48.5%
avg: 37.9% for this ELO range
PerformanceSUSPICIOUS
76.6
avg: 48.1 for this ELO range
Account TrustNORMAL
57.2
avg: 45.5 for this ELO range
Social RiskSUSPICIOUS
40.0
avg: 26.2 for this ELO range
avg for this ELO range
Data sourcesSteam ProfileGames ListStatsLeetifyFACEIT
(Probability: 0.03)

Supporting Evidence:

  • Match History: Extensive history of 1927 matches suggests established legitimate play
  • Natural Variance: Performance fluctuations are within normal human ranges

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?

-cWadra- 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 6089 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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