digi's avatar

digi

76561198168677550 Steam ID
2248 hrs CS2 Hours
No VAC Ban
Analyzed by TrackBans AI on 07/01/2026 10:55
AI Cheat Probability
--%
Calculating...
Legit 0% Suspicious 50% Cheating 100%

AI Analysis Report

CS2 Premier: 27,102
Player Analysis
Aim Score
88/100
+65% avg 53/100 for this ELO range
Headshot %
65.3%
+65% avg 39.6% for this ELO range
Accuracy
16.9%
+21% avg 14.0% for this ELO range
FACEIT K/D
1.18
+22% avg 0.97 for this ELO range
Reaction Time
0.547s
avg: 0.665s for this ELO range
KAST
74.1%
avg: 65.8% for this ELO range
HLTV 2.0
1.30
avg: 1.01 for this ELO range
Pre-Aim
9.8
avg: 10.4 for this ELO range
Time to Kill
0.880s
avg: 0.821s for this ELO range
Opening Duels
38.7%
avg: 48.7% for this ELO range
ADR
88.3
avg: 75.2 for this ELO range
Win Rate
54.8%
avg: 50.7% for this ELO range
AWP Acc
39.7%
avg: 36.9% for this ELO range
Performance
76.0
avg: 46.0 for this ELO range
Account Trust
55.6
avg: 36.7 for this ELO range
Social Risk
30.0
avg: 33.2 for this ELO range
Data sourcesSteam ProfileGames ListStatsLeetifyFACEIT
(Probability: 0.04)

Supporting Evidence:

  • Match History: Extensive history of 407 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?

digi 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 2248 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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