People often ask me this question:
“I’ve just created a cube on Cube Tutor. Why are the draft bots passing me Black Lotus?”
The simple answer is because you haven’t trained them yet! The basic AI (Cube Tutor AI) makes its decisions based on your observed pick orders (the Draft Charts on your Analysis page), and without any data they pick semi-randomly to start with.
Whilst this makes sense it isn’t very clear, which is why I’ve decided to introduce a new concept; the AI Rating. This is a numerical representation of how trained your bots are, the minimum being 1 and the maximum 100. If you’ve done enough drafts for the AI to have a good idea of how to rate every card in your list then you will have the maximum score.
Not only should this make things clearer for new members but it will also help established members to work out whether they’ve seeded their draft bots with enough data after an update.
AI Rating – A numerical representation of how trained your Cube Tutor AI bots are. This appears on the Draft page and under the summary section of your cube blog.
A corresponding FAQ entry has been added: http://www.cubetutor.com/faq/1#drafting7
The Draft Charts now include cards that have never been picked.
Sorting by tags on the Edit List page no longer causes an error.
Fixed an issue where it wasn’t possible to close images such as the Cube Image once they’d been clicked on.
Fixed some styling issues on the Draft & Analysis pages.