
Archived App (Last seen on 31 May 2026)
This is an archived listing of the app previously available on the App Store.Although the app is no longer distributed by Apple, you can still view its description, screenshots, version history, ratings, and metadata for reference.
About
This app helps Brazilian Jiu-Jitsu practitioners analyze their training sessions. Log rolls, track key metrics like guard retention and submissions, and identify areas for improvement to train smarter.
What's New in DeepRoll
1.0
May 2, 2025
User reviews
FAQ
What is DeepRoll?
DeepRoll is a training log designed for Brazilian Jiu-Jitsu practitioners. It helps users log their training sessions, analyze performance metrics, and identify areas for improvement.
What kind of metrics can I track with DeepRoll?
You can track key metrics such as guard retention, guard passes, escapes, and successful submissions. The app helps you pinpoint what went well and where to focus your efforts.
Does DeepRoll offer insights into my progress?
Yes, DeepRoll automatically summarizes your training data to provide clear insights into your strengths and weaknesses. This helps you understand which parts of your game need more drilling.
Can I share my training results with others using DeepRoll?
Yes, DeepRoll allows you to generate a stylish stats image of your session, which you can then share on social media platforms.
What devices does DeepRoll support?
DeepRoll is available on iPhone and iPad devices, making it accessible for users on the Apple ecosystem.
How often is DeepRoll updated?
DeepRoll was last updated on May 2, 2025, with version 1.0. This indicates it is a new application, and future updates will likely follow based on user feedback and development.
Does DeepRoll have ads?
Yes, DeepRoll contains advertisements. As it is a free application, ads are used to support its development and availability.
What is the user sentiment for DeepRoll?
Based on the available data, DeepRoll has a perfect 5.0-star rating from 2 reviews, suggesting very positive initial user sentiment.







