Foundations of Brazilian Jiu Jitsu by Bernardo Faria
787 reviews · 4.95 / 5
Bernardo Faria · Combo
Fast Track BJJ: Jiu Jitsu For Old Guys - Submission Escapes by Bernardo Faria has 2 customer reviews in this archive, averaging 5.0 out of 5. 100% are five-star and 0 are one or two stars. Reviews run from September 3, 2026 to September 9, 2026. All of them are published below in full, unedited.
2 of these reviewers gave their belt rank when they submitted the review. BJJ Fanatics asks for rank, age and years training at the point of review, so this breakdown is self-reported by the customer.
| Belt | Reviews | Average rating |
|---|---|---|
| Blue | 2 | 5.0 |

Fast Track BJJ: Jiu Jitsu For Old Guys - Submission Escapes by Bernardo Faria is currently listed on the BJJ Fanatics storefront at $67.00 USD. View Fast Track BJJ: Jiu Jitsu For Old Guys - Submission Escapes by Bernardo Faria on BJJ Fanatics
This Fast Track series is amazing! What I love most is that the information is digestible in a short amount of time without ever feeling rushed. It gets straight to the point, shows the techniques clearly, and gives you something you can immediately go back to and drill without spending hours watching videos. This series covers just about every escape you could need. Of course, it’s up to you to go back, study the material, and put in the work but that process is so much easier when the videos are concise and focused. I absolutely love this series and highly recommend it to anyone looking to improve their Jiu-Jitsu. I’m already looking forward to more Fast Track videos in the future!
It's really useful to have so many escapes in one efficient instructional. Very accessible. Normally I'd be wary of one-minute instructionals, but Bernado is a trustworthy source and so this new format is an excellent addition to the regular deep dives.
787 reviews · 4.95 / 5
252 reviews · 4.95 / 5
249 reviews · 4.94 / 5
214 reviews · 4.96 / 5
185 reviews · 4.97 / 5
174 reviews · 4.99 / 5
Every number on this page is computed from the 2 reviews above at build time, out of 87,673 in the full archive. See the methodology for how the corpus is collected and what is excluded.