✪ Jacob.'s avatar

✪ Jacob.

76561199113603875 Steam ID
1426 hrs CS2 Hours
No VAC Ban
Analyzed by TrackBans AI on 04/13/2026 05:09
AI Cheat Probability
--%
Calculating...
Legit 0% Suspicious 50% Cheating 100%
Model Confidence: --

AI Analysis Report

Leetify Data: Leetify service was unavailable. Analysis based on Steam data only.
FACEIT Data: Only CSGO history found (CSGO ELO: 973). No CS2 data on FACEIT.
No FACEIT data
Player Analysis
Aim Score
26.0
-1% avg 26.2
Headshot %
28.4%
-37% avg 45.0%
Accuracy
11.9%
-19% avg 14.6%
K/D Ratio
2.10
-33% avg 3.15
Win Rate
59.4%
avg: 90.6%
MVP/Round
0.18
avg: 0.13
AWP Acc
49.6%
avg: 36.9%
AK-47 Acc
21.8%
avg: 18.0%
Deagle Acc
30.9%
avg: 25.4%
Performance
100.9
avg: 83.5
Account Trust
49.0
avg: 36.7
Social Risk
30.1
avg: 33.2
Hours
1426
avg: 911
Data is sufficiently complete for a reliable prediction. ✅
Prediction Confidence: High based on comprehensive Steam statistics, social network data.
(Probability: 0.21)

I've completed a comprehensive analysis of this player's profile. Here's what I found:
Data Sources:
Steam StatsSocial

Concerning Indicators:

Social Network Risk: 10.3% of friends have VAC bans - significantly higher than typical players

Summary:

Risk Assessment: Mixed indicators present - some concerning patterns detected

The analysis reveals some patterns worth monitoring, but not definitive evidence of cheating. Consider this analysis as part of a broader assessment when evaluating this player.

This profile has been analyzed 1 time.

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?

✪ Jacob. 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 1426 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.