A training and explorer space for the game of Go
This post is a follow-up to EGD Go Rating win/loss lookup table. Winning against an opponent of the same rating gains more rating points (GoR) than losing to that opponent loses. This is by design to avoid deflation. However, this can also be used to artificially increase one’s rating. The two tables below answer the …
This table answers the question: “At my rating, how many rating points (GoR) do I gain or lose if I win against or lose to a player of that strength?” The columns represent the rating difference of the opponent. Negative values mean a weaker opponent, positive values mean a stronger opponent. Use the green values …
This visualization shows the number of Go tournaments in European countries over the years.
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 so we can study what kind of openings are played in the AI age.