KaBOOM's avatar

KaBOOM

76561197998105464 Steam ID
4819 hrs CS2 Hours
No VAC Ban
Analyzed by TrackBans AI on 05/17/2026 20:21
AI Cheat Probability
--%
Calculating...
Legit 0% Suspicious 50% Cheating 100%
Model Confidence: --

AI Analysis Report

FACEIT ELO: 1879 · Level 9
CS2 Premier: 25,928
Player Analysis
Aim Score
34.7
+23% avg 28.2 for this ELO range
Headshot %
61.7%
+33% avg 46.3% for this ELO range
Accuracy
19.0%
+30% avg 14.6% for this ELO range
FACEIT K/D
1.48
+26% avg 1.17 for this ELO range
Reaction Time
0.638s
avg: 0.617s for this ELO range
KAST
75.9%
avg: 71.1% for this ELO range
HLTV 2.0
1.44
avg: 1.18 for this ELO range
Pre-Aim
10.0
avg: 9.5 for this ELO range
Time to Kill
0.637s
avg: 0.671s for this ELO range
Opening Duels
41.1%
avg: 53.3% for this ELO range
ADR
98.3
avg: 85.1 for this ELO range
Win Rate
52.8%
avg: 51.4% for this ELO range
AWP Acc
43.8%
avg: 36.6% for this ELO range
Performance
72.7
avg: 47.5 for this ELO range
Account Trust
64.6
avg: 45.1 for this ELO range
Social Risk
26.1
avg: 25.8 for this ELO range
Data sourcesSteam ProfileGames ListStatsLeetifyFACEIT
(Probability: 0.16)

Supporting Evidence:

  • Match History: Extensive history of 340 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?

KaBOOM 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 4819 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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