SATTA MATKA BOOKS – PDF E-Books

Just Matka is a knowledge platform. We publish, from time to time, ebooks that enhance your knowledge to let you understand the game and ways you can beat it.

Note: As of now, the books are only available in English. We are looking forward to make knowledge available in Hindi, Telugu, Kannada and Marathi soon.

Knowledge Press Published Satta Matka Ebooks

Through Knowledge Press, justmatka publishes matka books that help you gain in-depth knowledge into various standard concepts of matka. This books are classic reference anytime, anywhere!

THE MATKA BOOK OF REFERENCE
PDF, 2020 Edition

THE BOOK OF METHODS
PDF, 2020 Edition

The Matka Book of methods is a collection of 5 of Just Matka’s finest methods explained in-depth that you can learn and implement and profit instantly.

MICROSOFT EXCEL FOR MATKA
PDF, 2020 Edition

Microsoft Excel is the best software you can use to solve matka. Ease of use and wide availability of this tool makes it the obvious choice. In this book, we have covered how this amazing tool can be used to build rules and methods to guess matka.

Research Press Published Papers

Through Research Press, justmatka publishes matka papers that cover justmatka standardized concepts that can be used to improve day to day gameplay. These are concepts that we implement ourselves and are backed by years of work

B/200 STAKING MODEL
PDF, 2020 Edition

Spelled B by 200, is a staking strategy developed at Just Matka as standard staking model for playing matka. This paper outlines our model of staking that we have fine-tuned for over 5 years now.

NOTES ON SEGMENTAL ACCURACY
PDF, 2020 Edition

Notes on Segmental Accuracy outlines and explains in-depth our highly precise accuracy measurement model that can be used to measure the accuracy and precision of all methods we develop or you work on in the future.

EXPLORING MACHINE LEARNING FOR MATKA
PDF, 2020 Edition

Exploring Machine Learning for Matka outlines our vision of implementing machine learning to understand the uncertainty in events better than ever. Our finest method, MEHH.One is a result of this thinking. This paper covers our findings that can further be enhanced via Machine Learning.