Nimzowitsch Defence Against 1.e4
1.Nf3 - Practical Repertoire for White

Eljanov's Algorithm 

GM Pavel Eljanov May 15, 2021

Sequence:  Dynamic Decision Making  »

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Content  (35 Articles)

Introduction and Free Preview  Free
Video Lecture 1  Closed
Video Lecture 2  Closed
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Video Lecture 13  Closed
Introduction  Closed
Model Game 1 - Goal Seeking Approach, LPDO  Closed
Model Game 2 - Evaluation of the Position, LPDO, Additional Verification  Closed
Model Game 3 - DAUT, Emergency Exit  Closed
Model Game 4 - Goal Seeking Approach  Closed
Model Game 5 - Goal Seeking Approach, Intermediate Move  Closed
Model Game 6 - Avoid Impulsive Decisions, Intermediate Move  Closed
Model Game 7 - LPDO  Closed
Model Game 8 - LPDO, Additional Verification, Quiet Move  Closed
Model Game 9 - LPDO, Goal Seeking Approach, Valuation of Far Advanced Passed Pawns, Emergency Exit  Closed
Model Game 10 - Avoid Impulsive Decisions  Closed
Model Game 11 - Avoid Impulsive Decisions, Valuation of Far Advanced Passed Pawns  Closed
Model Game 12 - DAUT, Additional Verification  Closed
Model Game 13 - DAUT, Additional Verification  Closed
Model Game 14 - Valuation of Far Advanced Pawns, DAUT  Closed
Model Game 15 - Valuation of Far Advanced Pawns  Closed
Model Game 16 - Method of Elimination, Valuation of Far Advanced Pawns, DAUT, Evaluation of the Position  Closed
Model Game 17 - Method of Elimination  Closed
Model Game 18 - Method of Elimination  Closed
Model Game 19 - Method of Elimination  Closed
Model Game 20 - Method of Elimination, Intermediate/Quiet Move  Closed

49.00 EUR

Eljanov's Algorithm

 

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Most of the players want to understand the decision-making process of top-level grandmasters. The vast majority of the learning resources present different elements of chess knowledge. When you play a practical game, however, you should be able to connect the points in order to make the optimal decision.

In this course, the former World number 5 GM Pavel Eljanov explains his thinking system.

In the introduction to this course, Eljanov says, "Before Covid times, it was hard to imagine that I will be doing this because sharing this knowledge might have a negative impact on my results. Quite obviously, knowing your thinking system, the opponents might exploit some of the inner secrets that I will provide here. Since my priorities have changed, I decided to share my algorithm with you. I hope that after watching the course, you will be able to bring some new elements to your decision-making algorithm."

Eljanov starts by presenting the learning sources he has used throughout his career. At this stage, he explains what exactly he has learned from renowned authors such as Kotov, Dvoretsky, and Nunn. It's quite remarkable to follow how a top-level chess player was gradually building his knowledge base.

The course is highly interactive. On many occasions, in critical positions, you will be asked to pause the video and think on your own. Such kind of exercises is the perfect simulation since you have the opportunity to compare your thinking to top-level decision making.

The scheme below illustrates the main logic of the course:

Decision-Making Algorithm

1. Evaluation of the position (before starting the calculation)

1a. Indirect near-game factors

1b. What am I playing for? What does my opponent want?

2. Determination of the candidate moves

2a "Scanning opportunities" (quick scan approach according to John Nunn)

2b Choosing a priority direction

3. Calculation of options

3a1. Comparison of options

3a2. Additional verification

3b. The final choice of move

Useful Methods When Making Decisions

1. "Goal-seeking" approach (Nunn)

2. Method of elimination (Dvoretsky)

3. DAUT (Nunn - Don't Analyze Unnecessary Tactics)

4. Safety net (Nunn) or emergency exit (Dvoretsky)

5. LPDO (Nunn - Loose Pieces Drop Off)

6. Avoid impulsive decisions (Eljanov)

7. Don't forget about quiet/intermediate/backward moves (Eljanov)

8. Valuation of far advanced pawns (Eljanov)

FREE VIDEO CHAPTER