Dawe 乡's avatar

Dawe 乡

76561199009567295 Steam ID
2694 hrs CS2 Hours
No VAC Ban
Analyzed by TrackBans AI on 04/21/2026 19:25
AI Cheat Probability
--%
Calculating...
Legit 0% Suspicious 50% Cheating 100%

AI Analysis Report

FACEIT ELO: 1176 · Level 5
CS2 Premier: 10,843
Player Analysis
Aim Score
30.9
+13% avg 27.3 for this ELO range
Headshot %
41.0%
-5% avg 43.0% for this ELO range
Accuracy
20.6%
+44% avg 14.3% for this ELO range
FACEIT K/D
1.18
+9% avg 1.09 for this ELO range
Win Rate
51.2%
avg: 51.4% for this ELO range
MVP/Round
0.14
avg: 0.14 for this ELO range
AWP Acc
41.2%
avg: 36.7% for this ELO range
AK-47 Acc
23.9%
avg: 18.8% for this ELO range
Deagle Acc
31.6%
avg: 26.1% for this ELO range
Performance
77.5
avg: 74.0 for this ELO range
Account Trust
40.2
avg: 42.2 for this ELO range
Social Risk
30.0
avg: 27.7 for this ELO range
FACEIT WR%
50.6%
avg: 54.4% for this ELO range
FACEIT HS%
38.0%
avg: 43.6% for this ELO range
FACEIT Matches
490
Hours
2694
avg: 1453 for this ELO range
This profile has been analyzed 8 times
Data sourcesSteam ProfileGames ListStatsLeetifyFACEIT
(Probability: 0.05)

Supporting Evidence:

  • Match History: Extensive history of 1989 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?

Dawe 乡 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 2694 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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