Engblom's avatar

Engblom

76561198170274899 Steam ID
3195 hrs CS2 Hours
No VAC Ban
Analyzed by TrackBans AI on 05/17/2026 16:32
AI Cheat Probability
--%
Calculating...
Legit 0% Suspicious 50% Cheating 100%
Model Confidence: --

AI Analysis Report

FACEIT ELO: 1527 · Level 7
CS2 Premier: 19,131
Player Analysis
Aim Score
28.6
+3% avg 27.8 for this ELO range
Headshot %
40.5%
-9% avg 44.7% for this ELO range
Accuracy
18.3%
+27% avg 14.5% for this ELO range
FACEIT K/D
1.15
-1% avg 1.16 for this ELO range
Reaction Time
0.678s
avg: 0.628s for this ELO range
KAST
68.5%
avg: 70.7% for this ELO range
HLTV 2.0
1.12
avg: 1.16 for this ELO range
Pre-Aim
8.8
avg: 9.6 for this ELO range
Time to Kill
0.674s
avg: 0.697s for this ELO range
Opening Duels
41.2%
avg: 52.5% for this ELO range
ADR
79.4
avg: 83.9 for this ELO range
Win Rate
50.4%
avg: 51.3% for this ELO range
AWP Acc
38.7%
avg: 36.6% for this ELO range
Performance
79.3
avg: 47.3 for this ELO range
Account Trust
73.2
avg: 44.0 for this ELO range
FACEIT WR%
53.2%
avg: 53.4% for this ELO range
Data sourcesSteam ProfileGames ListStatsLeetifyFACEIT
(Probability: 0.01)

Supporting Evidence:

  • Match History: Extensive history of 632 matches suggests established legitimate play
  • Natural Variance: Performance fluctuations are within normal human ranges
  • 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?

Engblom 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 3195 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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