> For the complete documentation index, see [llms.txt](https://unixx.shop/docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://unixx.shop/docs/games/marvel-rivals/select-your-cheat/predator-systems-marvel-rivals-cheat/information.md).

# Information

## What is Predator Marvel Rivals?

Predator Marvel Rivals Cheat delivers pinpoint accuracy and tactical awareness for competitive edge. Its advanced aimbot includes customizable FOV, smoothness, and hero-specific prediction, with filters for visibility and distance. Visual ESP features like glow, skeletons, health bars, and ultimate charge tracking keep you informed at all times. Extras like radar, keybind lists, and technical watermarking add control and polish. With Trusted Mode compatibility and dynamic FOV options, it’s built for seamless, high-performance gameplay.

## Requirements

🖥️ Windows Versions 10/11
\
🧩 Supports all CPUs (Intel & AMD)
\
⚙️ No BIOS configuration needed

## Feature List

⚡ Instant Setup & Easy Configuration\
💻 Fully Internal with Trusted Mode Support\
🎯 Aimbot with Hero-Specific Prediction & Filters\
📐 Adjustable FOV (Static & Dynamic) + Smooth Aim\
👁️ ESP Visuals: Glow, Skeletons, Boxes, Health, Ult Charge\
🧠 Smart Filters: Distance, Visibility, Wall Checks\
📡 Radar Overlay with Scale & Alpha Control\
🎮 Keybind List for Quick Feature Access\
🔒 Technical Watermark & Stream-Safe Options\
✨ Legit & Semi-Rage Config Ready\
🎨 Customizable UI: Backgrounds, Particles, Menu Bind\
📈 Actively Maintained with Frequent Feature Expansions

## Showcase


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://unixx.shop/docs/games/marvel-rivals/select-your-cheat/predator-systems-marvel-rivals-cheat/information.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.