JunKinA's avatar

JunKinA

76561198022952119 Steam ID
1872 hrs CS2 Hours
No VAC Ban
Analyzed by TrackBans AI on 04/13/2026 23:53
AI Cheat Probability
--%
Calculating...
Legit 0% Suspicious 50% Cheating 100%

AI Analysis Report

Leetify Data: Leetify service was unavailable. Analysis based on Steam data only.
FACEIT Data: Enhanced analysis using FACEIT data | ELO: 740 | Level: 2.
FACEIT ELO: 740 · Level 2
Player Analysis
Aim Score
24.6
-6% avg 26.0
Headshot %
47.5%
+16% avg 40.9%
Accuracy
7.4%
-43% avg 12.9%
K/D Ratio
1.01
-69% avg 3.26
Win Rate
49.8%
avg: 61.9%
MVP/Round
0.10
avg: 0.13
AWP Acc
33.0%
avg: 36.2%
AK-47 Acc
15.1%
avg: 18.1%
Deagle Acc
21.8%
avg: 25.1%
Performance
70.5
avg: 72.6
Account Trust
45.6
avg: 38.7
Social Risk
21.6
avg: 30.3
Hours
1872
avg: 1104
Data is sufficiently complete for a reliable prediction. ✅
Prediction Confidence: Very High based on strong statistical indicators, comprehensive Steam statistics, social network data.
(Probability: 0.16)

After analyzing the available data, I can provide you with these insights:
Data Sources:
Steam StatsSocialFACEIT Profile

Concerning Indicators:

Social Network Risk: 13.1% of friends have VAC bans - significantly higher than typical players

Summary:

Risk Assessment: Multiple indicators suggest legitimate gameplay patterns

The evidence strongly supports this being a legitimate player. Consider this analysis as part of a broader assessment when evaluating this player.

This profile has been analyzed 8 times.

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?

JunKinA 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 1872 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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