When we asked you, our readers, what you wanted to see, at least one of you wanted more numbers.
The site has four main features:
First, we have graphs of the turn a card is purchased versus its winrate. For instance, as demonstrated in the picture above, buying non-terminal +1 Action/+1 Cards is indeed superior to buying Silver, starting as early as Turn 5. Or you can see that buying Province starts to be better than buying Gold as early as Turn 7:
Second, graphs of card advantage against winrate. For instance, you can see that having a Minion advantage over your opponent(s) substantially increases the likelihood that you’ll win, much more so than having a Market advantage (or even a City advantage):
As you may have noticed, the query field supports some logical operation syntax. Currently, the supported operations are:
- && and || (AND and OR operators, with parentheses support)
- Comparison operators (>, <=, and ==)
- Cost (e.g., “Cost==7″ returns Bank, Expand, Forge, and King’s Court)
- Actions (e.g., “Actions > 1″ returns all +2 Actions cards)
- Cards (e.g., “Cards <=1" returns all cards that draw at most +1 Card when played)
- Action/Treasure/Victory (e.g., “Treasure && Victory” returns Harem)
Third, player pages, which contain the player’s game history sorted by opponent. It even accounts for the mess that the BGGDL inflicted on players’ usernames.
Finally, a game search page, for finding games based on players and Kingdom cards.
I realize that this is just the tip of the iceberg of what is possible with this data. So far, I’ve only generated the two graphs above, but I’d love to hear your suggestions and have you rank ideas on the CouncilRoom.com UserVoice page.
For programmers among us, the source code is open and available. Even if you aren’t interested in the code, I could provide a parsed representation of the log data for your own purposes.
There’s much to be learned from all this data. I’m very excited about introducing even more of these kinds of insights on the Dominion Strategy blog: I’ll be supplementing theory’s articles with interesting statistical analyses. Stay tuned!