GIV_AWP ☆☆☆'s avatar

GIV_AWP ☆☆☆

76561199092706268 Steam ID
0 hrs CS2 Hours
No VAC Ban
Analyzed by TrackBans AI on 07/06/2026 02:48
AI Cheat Probability
--%
Calculating...
Legit 0% Suspicious 50% Cheating 100%

AI Analysis Report

FACEIT ELO: 1376 · Level 7
CS2 Premier: 18,647
Player Analysis
Aim Score
67/100
-0% avg 67/100 for this ELO range
Headshot %
42.8%
-6% avg 45.4% for this ELO range
Accuracy
13.9%
+5% avg 13.2% for this ELO range
FACEIT K/D
1.14
-2% avg 1.16 for this ELO range
Reaction Time
0.578s
avg: 0.628s for this ELO range
KAST
66.0%
avg: 70.7% for this ELO range
HLTV 2.0
1.06
avg: 1.16 for this ELO range
Pre-Aim
8.2
avg: 9.6 for this ELO range
Time to Kill
0.996s
avg: 0.702s for this ELO range
Opening Duels
48.6%
avg: 52.2% for this ELO range
ADR
77.8
avg: 84.0 for this ELO range
Win Rate
52.5%
avg: 51.3% for this ELO range
AWP Acc
30.2%
avg: 36.9% for this ELO range
Performance
74.8
avg: 47.3 for this ELO range
Account Trust
10.0
avg: 43.4 for this ELO range
Social Risk
75.0
avg: 27.5 for this ELO range
Data sourcesSteam ProfileGames List hiddenStatsLeetifyFACEIT
(Probability: 0.01)

Supporting Evidence:

  • Match History: Extensive history of 2516 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?

GIV_AWP ☆☆☆ 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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