Eljanov's Algorithm (3h Running Time) 

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Introduction and Free Preview  Free
  • Video Lecture 1  Closed
  • Video Lecture 2  Closed
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  • Video Lecture 4  Closed
  • Video Lecture 5  Closed
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  • Video Lecture 12  Closed
  • 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
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    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)

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