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mogging + teabagging's avatar

mogging + teabagging

76561199032690492 Steam ID
3671 hrs CS2 Hours
No VAC Ban
Analyzed by TrackBans AI on 10/04/2026 22:50
AI Cheat Probability
--%
Calculating...
Legit 0% Suspicious 50% Cheating 100%

AI Analysis Report

FACEIT ELO: 1735 · Level 8
Player Analysis
Aim ScoreNORMAL
82/100
+15% avg 71/100 for this ELO range
Headshot %NORMAL
30.7%
-35% avg 47.0% for this ELO range
AccuracyNORMAL
14.1%
+6% avg 13.3% for this ELO range
FACEIT K/DNORMAL
1.33
+14% avg 1.17 for this ELO range
Reaction TimeSUSPICIOUS
0.517s
avg: 0.617s for this ELO range
KASTNORMAL
70.5%
avg: 71.1% for this ELO range
HLTV 2.0NORMAL
1.23
avg: 1.18 for this ELO range
Pre-AimNORMAL
8.2
avg: 9.5 for this ELO range
Time to KillNORMAL
1.006s
avg: 0.677s for this ELO range
Opening DuelsNORMAL
40.3%
avg: 53.1% for this ELO range
ADRNORMAL
89.0
avg: 85.2 for this ELO range
Win RateNORMAL
47.7%
avg: 51.4% for this ELO range
AWP AccNORMAL
35.2%
avg: 36.9% for this ELO range
PerformanceSUSPICIOUS
80.2
avg: 47.5 for this ELO range
Account TrustNORMAL
62.0
avg: 44.6 for this ELO range
Social RiskNORMAL
11.6
avg: 26.5 for this ELO range
avg for this ELO range
Data sourcesSteam ProfileGames ListStatsLeetify not registeredFACEIT
(Probability: 0.02)

Concerning Indicators:

  • Social Network Risk: 13.2% 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?

mogging + teabagging 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 3671 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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