ILeonardo's avatar

ILeonardo

76561198298095327 Steam ID
1817 hrs CS2 Hours
No VAC Ban
Analyzed by TrackBans AI on 05/07/2026 18:09
AI Cheat Probability
--%
Calculating...
Legit 0% Suspicious 50% Cheating 100%

AI Analysis Report

FACEIT ELO: 1018 · Level 4
CS2 Premier: 15,106
Player Analysis
Aim Score
23.4
-14% avg 27.3 for this ELO range
Headshot %
33.9%
-21% avg 43.0% for this ELO range
Accuracy
12.8%
-10% avg 14.3% for this ELO range
FACEIT K/D
0.97
-11% avg 1.09 for this ELO range
Reaction Time
0.651s
avg: 0.644s for this ELO range
KAST
67.9%
avg: 69.4% for this ELO range
HLTV 2.0
1.06
avg: 1.11 for this ELO range
Pre-Aim
9.9
avg: 9.9 for this ELO range
Time to Kill
0.798s
avg: 0.734s for this ELO range
Opening Duels
39.9%
avg: 50.8% for this ELO range
ADR
81.1
avg: 80.9 for this ELO range
Win Rate
49.3%
avg: 51.0% for this ELO range
AWP Acc
34.2%
avg: 36.6% for this ELO range
Performance
65.2
avg: 46.7 for this ELO range
Account Trust
58.8
avg: 42.2 for this ELO range
Social Risk
12.9
avg: 27.7 for this ELO range
Data sourcesSteam ProfileGames ListStatsLeetifyFACEIT
(Probability: 0.00)

Concerning Indicators:

  • Social Network Risk: 25.8% of friends have VAC bans - significantly higher than typical players

Supporting Evidence:

  • Match History: Extensive history of 243 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?

ILeonardo 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 1817 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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