MrMagnij's avatar

MrMagnij

76561198282873558 Steam ID
739 hrs CS2 Hours
No VAC Ban
Analyzed by TrackBans AI on 04/20/2026 02:35
AI Cheat Probability
--%
Calculating...
Legit 0% Suspicious 50% Cheating 100%

AI Analysis Report

FACEIT ELO: 1695 · Level 8
CS2 Premier: 14,208
Player Analysis
Aim Score
28.5
-12% avg 32.4 for this ELO range
Headshot %
46.2%
-0% avg 46.3% for this ELO range
Accuracy
2.8%
-90% avg 28.6% for this ELO range
FACEIT K/D
1.44
+23% avg 1.17 for this ELO range
Win Rate
54.7%
avg: 52.0% for this ELO range
MVP/Round
0.16
avg: 0.14 for this ELO range
AWP Acc
49.1%
avg: 36.6% for this ELO range
AK-47 Acc
23.9%
avg: 18.8% for this ELO range
Deagle Acc
34.6%
avg: 26.4% for this ELO range
Performance
75.8
avg: 75.7 for this ELO range
Account Trust
33.0
avg: 45.1 for this ELO range
Social Risk
36.7
avg: 25.8 for this ELO range
FACEIT WR%
65.2%
avg: 53.1% for this ELO range
FACEIT HS%
47.0%
avg: 46.1% for this ELO range
FACEIT Matches
69
Hours
739
avg: 2252 for this ELO range
Data sourcesSteam ProfileGames ListStatsLeetifyFACEIT

Concerning Indicators:

  • Performance Spike: Recent K/D improvement of +0.91 represents a dramatic and sudden change
  • Social Network Risk: 13.3% of friends have VAC bans - significantly higher than typical players

Supporting Evidence:

  • Match History: Extensive history of 545 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?

MrMagnij 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 739 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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