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Magic Data Science
Magic Data Science
@mtgds.bsky.social
Doing math with Magic; doing Magic with math. (Chromatic Lantern; Julie Dillon)
3.1K followers94 following2.4K posts
I've been listening to @justingary.bsky.social's podcast for awhile now, and was pleasantly surprised to see that this week's episode featured a guest -- and a game -- that you may be familiar with*: justingarydesign.substack.com/p/mark-rosew... A must-listen if you're interested in game design.
This is so cool. I think maybe all (?) of the art is from sketches/drafts of illustrations that have appeared on Magic cards. Seems fun, easy to learn, charming. Way to stick with it, @maro254.bsky.social
Hereโs the how-to-play video for Mood Swings. #WotCStaff youtube.com/watch?v=-uf-...
In second place, with 457.91 points, was Inflamed (who came in 3rd for TLA!), closely followed by @veserius.bsky.social at 457.87 -- and then several others close behind! Here is how the rest of the competitors finished out:
@formersquid, with 458.6 points, can now proudly display this trophy text: ๐๐ข๐ง๐ง๐๐ซ ๐จ๐ ๐ญ๐ก๐ ๐๐๐ #๐๐๐๐ ๐๐ก๐๐ฅ๐ฅ๐๐ง๐ ๐๐ No matter what happens, you will always be the winner of the ECL P0P1 Challenge, and no one can take that away from you.
Magic Data Science reposted
Here is where ECL lands on the #PrinceVPauper ternary plot: decidedly _not_ Pauper. The rares and uncommons are relatively stronger than the commons, to a greater extent than pretty much any recent set. At common, look for good removal, friendly creature types, and... good luck!
Here's a new visualization I'm trying out -- representing the #PrinceVPauper distribution of recent Limited formats. The axes are unitless, but essentially represent the relative win rates of cards, by rarity. The left-to-right dimension maps onto the common โ rare...
Here is where ECL lands on the #PrinceVPauper ternary plot: decidedly _not_ Pauper. The rares and uncommons are relatively stronger than the commons, to a greater extent than pretty much any recent set. At common, look for good removal, friendly creature types, and... good luck!
Here's a new visualization I'm trying out -- representing the #PrinceVPauper distribution of recent Limited formats. The axes are unitless, but essentially represent the relative win rates of cards, by rarity. The left-to-right dimension maps onto the common โ rare...
Magic Data Science reposted
Read the whole article if you want to know more about what I'm doing here, and if you want to see Openness scores for *each common* in the 17Lands era. mtgds.wordpress.com/2024/08/19/r... And let me know what kinds of patterns you observe.
... see this depicted in the graph as the mass of dots in the 1.5-3 range. You can read about my methodology, and how I interpret these Openness values, here: mtgds.wordpress.com/2024/08/19/r... Naturally, I was curious as to how ECL would look, given that it is also heavily typal. Well...
@cubecobra.com Excited about the 1.5 update! Especially Scryfall drag'n'drop. Does this update mean that the job that calculates Cube Elo will run regularly? Also, at the moment, it seems like Playtest Data is missing?
Clearly Alara, and specifically, Bant
Someone on my blog asked what plane has the best pizza. One of the planes I chose was Ravnica, so another person asked which guild made the best pizza. It was โAnother Day of R&D Productivity Lostโ (for fans of my old โTales from the Pitโ comic). #WotCStaff
Magic Data Science reposted
Here is a plot of GIHWR by rank within color, for commons and uncommons in ECL, per @17lands.bsky.social Among commons, it's G and then everyone else, although R and B have a higher top-end before falling off, while U and W are a little flatter. Among uncommons, ...
Here is a plot of GIHWR by rank within color, for commons and uncommons in ECL, per @17lands.bsky.social Among commons, it's G and then everyone else, although R and B have a higher top-end before falling off, while U and W are a little flatter. Among uncommons, ...
I'm one of these, @maro254.bsky.social Watched 20 years, 20 lessons Listened to the DtW podcast episodes expanding on that Listened to every DtW at least once Had a million ideas for models to build Spent a year working on those intermittently Started MTGDS.
Magic Data Science reposted
Magic Data Science reposted
Several folks on @maro254.bsky.social's Blogatog reported that players at prerelease were confused by the official 5-pair archetype guide, hesitating to explore the other five pairs, despite some support for them. So I made an unofficial guide to those secondary archetypes!
ECL is another 5-archetype reference, but this one has an unusual twist: It includes three "allied" and two "enemy" pairs! This structure is mirrored in the #2CUDS as well as a common hybrid cycle, half of which are explicitly typal, half of which are Changelings.
Several folks on @maro254.bsky.social's Blogatog reported that players at prerelease were confused by the official 5-pair archetype guide, hesitating to explore the other five pairs, despite some support for them. So I made an unofficial guide to those secondary archetypes!
ECL is another 5-archetype reference, but this one has an unusual twist: It includes three "allied" and two "enemy" pairs! This structure is mirrored in the #2CUDS as well as a common hybrid cycle, half of which are explicitly typal, half of which are Changelings.