Help understanding the computer analysis output

Hello all,

I am new to the site and have been trying to use the computer analysis to review my games. I’ve been looking for documentation of the feature to help me understand the output, but have been unsuccessful at finding an explanation. (For example, I found documentation of other features here https://ogs.readme.io/docs)

I just have some basic questions like how to understand the numbers assigned the different moves and how those numbers relate to the bar that shows the chances of each player winning. I presume that positive numbers favor Black and negative numbers favor White? Any insight would be appreciated.

Thanks!

Hi @Cyanriddle. Welcome on OGS.

The computer analysis feature is really new and still might change in appearance or other minor ways in the coming weeks. Therefore, the feature hasn’t got in the documentation.
Additionally, the documentation you found is an old one. You can find a much more up to date one at https://github.com/online-go/online-go.com/wiki


The graph shows the win probability for black and how it changed while the game progressed.
If it is at the upper bound, black is likely to win, if it’s on the lower bound, white is likely to win.
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The bar above shows the probability to win for black and white for the current board position. If you explore a variation, the probabilities won’t change and still show the numbers for the root board possition.
image

The 10+% moves indicate how many moves of each player reduced their chance to win by at least 10 percent points.
image

The numbers on the board are the change of the probability to win for the player to play the next move. If the number on one move is -8.0 for example and black to play, that move would lower blacks probability to win from 74.6% to 66.6% for example. If it would be whites turn, whites probability to win would change from 25.4% to 17.4%.
The blue move is the move the AI would play. The actual played move is represented by a small triangle and a transparent white circle. The triangle is on the AI move when AI and player agreed on the move to play.
image

The green background on some AI suggestions represent the AIs policy network values. The policy values guide the AI while it explores possible sequences. The AI first tries the dark green moves and only later the lighter shades.
Please note that those shades are only a initial guidance for the AI, indicating which moves are probably good, not which moves are actual good.

2019-08-14T22:00:00Z Updated: Should represent the current state of the AI review.

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This was exactly what I needed. Thanks!

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Whoa - I thought the white background was a rendering bug! :crazy_face:

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Is it normal that the bar and the graph don’t match for some moves?
The graph is very useful to see sudden big changes in win rate (wich should be bad mistakes) but sometimes I go there in analysis and the bar shows a very different win rate. Which one is the good one?

In my opinion, both should be the same. Please share the games/moves in question so we can find out.

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I will. I just have to find them again :smiley:

Update 2019-09-20T22:00:00Z:

The green background now represents the time LZ spent on the variation.

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