Decode Game vs Decode Position: Making it Simple

There are two types of Decode functions  in our system. In this quick guide you’ll learn the difference between the two and how to best use them for your own chess improvement.

Decode Game

Decode Game was introduced in late 2019 with the aim of providing faster explanations for an entire game.  Within 15-30 seconds, all the moves of a game can be explained. But what does that actually mean?

Decode Game uses a more shallow engine depth to generate an explanation for the engines’ recommended next best move. The depth of this feature can sometimes result in less optimal move recommendations and explanations. Thus, for the majority of the game it will do a good job, and for the more heavy, complicated positions, you should use the Deep Decode feature which is discussed in detail below.

An example of an explanation generated with Decode Game. 

Deep Decode (position analysis)

This is the legacy Decode feature which breaks down a position entirely and explains lots (of lots) of things. Simply click on the orange + sign next to Decode Game to get it processing.

This feature uses more engine and AI resources and as a result it is more robust and useful with some of the key, complex positions every chess game usually presents. It also requires more time, with up to 70 seconds per position.

We generally recommend using this on 2-4 positions in each game you’re analyzing. Read every tab carefully and follow the explanations and lines on the board to understand the concepts that govern the position.

Summary

From our experience, the best combination is to decode a game to get a general understanding of what’s going on, and then to deep-dive into 2-4 positions which are the important parts of the game, either where a mistake was made, or where the Decode Game explanation does not seem to account for everything there is to say.

Still confused? Don’t hesitate to contact us via the chat box. It’s called Need Help?  and is located on the right side of the screen.

Sincerely,

DecodeChess Team