󠁳⁧⁧ innosource's avatar

󠁳⁧⁧ innosource

76561198024497345 Steam ID
0 hrs CS2 Hours
No VAC Ban
Analyzed by TrackBans AI on 07/09/2026 09:07
AI Cheat Probability
--%
Calculating...
Legit 0% Suspicious 50% Cheating 100%

AI Analysis Report

FACEIT ELO: 2068 · Level 10
Player Analysis
FACEIT K/DNORMAL
1.17
-3% avg 1.20 for this ELO range
Reaction TimeNORMAL
0.63
+5% avg 0.60 for this ELO range
KASTNORMAL
72.00
-0% avg 72.28 for this ELO range
HLTV 2.0NORMAL
1.22
-2% avg 1.24 for this ELO range
Pre-AimSUSPICIOUS
7.7
avg: 9.2 for this ELO range
Time to KillNORMAL
0.938s
avg: 0.642s for this ELO range
Opening DuelsNORMAL
55.8%
avg: 55.2% for this ELO range
ADRNORMAL
87.4
avg: 88.8 for this ELO range
Account TrustSUSPICIOUS
30.0
avg: 45.5 for this ELO range
Social RiskSUSPICIOUS
50.0
avg: 26.2 for this ELO range
FACEIT WR%NORMAL
52.2%
avg: 53.3% for this ELO range
FACEIT HS%NORMAL
53.0%
avg: 47.6% for this ELO range
FACEIT MatchesN/A
695
avg for this ELO range
Data sourcesSteam ProfileGames List hiddenStats hiddenLeetify not registeredFACEIT
(Probability: 0.03)

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?

󠁳⁧⁧ innosource 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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