An explorer space for data related to the game of Go. Data mining SGF collections reveals new insights.
I wrote a program that takes thousands of pro-level games, extracts the first twenty moves and assembles them in a single tree. Here I have chosen games from 2016 - the year that AlphaGo made its impact - to 2019. Use it to study the openings of the AI age or choose a position and play from it with Leela Zero.
This visualization shows the number of Go tournaments in European countries over the years.
Which games have the earliest crosscuts; which the latest? This indicates when the first fight starts. Which games have the most crosscuts; which the fewest? This indicates how fighting-intensive the game is. Also, how many crosscuts were there in the game, in total, by Black and by White?
Or you can directly go to the charts:
Here is a list of positions in professional games where one player has made a nose attachment and then either the opponent made a nose attachment of his own in the next move, or the same player made another nose attachment in his next move.