Doctor_McFlurry's avatar

Doctor_McFlurry

76561198415434175 Steam ID
0 hrs CS2 Hours
No VAC Ban
Analyzed by TrackBans AI on 05/05/2026 21:21
AI Cheat Probability
--%
Calculating...
Legit 0% Suspicious 50% Cheating 100%
Model Confidence: --

AI Analysis Report

FACEIT ELO: 735 · Level 2
Player Analysis
Aim Score
30.7
+18% avg 26.0 for this ELO range
Headshot %
54.5%
+33% avg 40.9% for this ELO range
Accuracy
11.3%
-13% avg 12.9% for this ELO range
FACEIT K/D
1.12
+33% avg 0.84 for this ELO range
Reaction Time
0.651s
avg: 0.682s for this ELO range
KAST
74.6%
avg: 66.9% for this ELO range
HLTV 2.0
1.30
avg: 1.01 for this ELO range
Pre-Aim
10.1
avg: 10.5 for this ELO range
Time to Kill
0.705s
avg: 0.809s for this ELO range
Opening Duels
53.2%
avg: 47.2% for this ELO range
ADR
93.2
avg: 74.7 for this ELO range
Win Rate
51.4%
avg: 49.8% for this ELO range
AWP Acc
41.7%
avg: 36.2% for this ELO range
Performance
78.8
avg: 44.4 for this ELO range
Account Trust
39.2
avg: 38.7 for this ELO range
Social Risk
48.1
avg: 30.3 for this ELO range
This profile has been analyzed 2 times
Data sourcesSteam ProfileGames ListStatsLeetify not registeredFACEIT
(Probability: 0.01)

Concerning Indicators:

  • Social Network Risk: 16.1% of friends have VAC bans - significantly higher than typical 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?

Doctor_McFlurry 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 0 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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