How to Avoid Mistakes and Boost Your Winning Rate - Chess Software Download

How to Avoid Mistakes
and Boost Your Winning Rate (Download)
by Vishnu Prasanna

Doesn’t every chess game get decided by mistakes? Absolutely. But most players never truly comprehend that they are making the same kind of mistakes over and over again. The first task is to identify these mistakes and label them. Then the next time you sit at the chessboard, you are aware and able to avoid them.

- GM Vishnu Prasanna is one of the most respected chess trainers in India. He is the coach of the current Indian no.1 player D. Gukesh – his main coach for his journey from 2200 to 2750 Elo. Vishnu has used his immense experience to touch upon the topic of mistakes in chess. -

Vishnu groups mistakes into the following categories:

With more than 20 examples, you get a firm understanding of each type of mistake. IM Sagar Shah asks pertinent questions, and has also made cards, shown throughout the videos, that ensure you can firmly grasp the nature of the mistakes. Vishnu discusses how to fix these mistakes, and how his students - Gukesh, Leon Mendonca, Surya Ganguly and himself! - all very strong grandmasters, managed to fix the mistakes that they were making - leading to serious improvement in their play. To conclude, there are test positions to reinforce your understanding of the subject. If you study this course carefully, it will help you to become a stronger and more aware chess player, and will surely lead to a rise in your level of play.

• Video running time: 4 h 26 min
• Extra: Extra chapter with exercises

System requirements:

Minimum: Pentium III 1 GHz, 1 GB RAM, Windows 8.1, DirectX9 graphic card with 256 MB RAM, DVD-ROM drive, Windows Media Player 9 and internet connection for program activation. Recommended: PC Intel Core i7, 2.8 GHz, 4 GB RAM, Windows 10 or 11 , DirectX10 graphic card (or compatible) with 512 MB RAM or better, 100% DirectX10 compatible sound card, Windows Media Player 11, DVDROM drive and internet connection for program activation.