Magic Data Science @mtgds.bsky.social · 16/07/2026Breaking my long silence to report that +2 Mace now appears on Gatherer. 2352
Magic Data Science @mtgds.bsky.social · 09/05/2026I'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.justingarydesign.substack.comMark Rosewater — Designing for Emotion, Embracing Complexity, and 28 Years of Iteration (#103)Think Like A Game Designer Podcast 1110
Magic Data Science @mtgds.bsky.social · 30/04/2026This is such a cool choice. I'm looking forward to playing it. 030
Magic Data Science @mtgds.bsky.social · 30/04/2026This 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 2100
Magic Data Science @mtgds.bsky.social · 13/04/2026Unfortunately, no; sorry. I am mostly retired, or at least on an extended sabbatical. 140
Magic Data Science @mtgds.bsky.social · 24/02/2026I have thought about doing so, but folks can change their handle from contest to contest, making it hard to link across sets. If I really had my act together, I would have tried to have people sign up for an account and all that, but it was never that serious. 010
Magic Data Science @mtgds.bsky.social · 22/02/2026I finished somewhere at the bottom of the top third of competitors. I'm not satisfied with that result, and rest assured, changes will be made! 240
Magic Data Science @mtgds.bsky.social · 22/02/2026In 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: 440
Magic Data Science @mtgds.bsky.social · 22/02/2026@formersquid, with 458.6 points, can now proudly display this trophy text: 𝐖𝐢𝐧𝐧𝐞𝐫 𝐨𝐟 𝐭𝐡𝐞 𝐄𝐂𝐋 #𝐏𝟎𝐏𝟏 𝐂𝐡𝐚𝐥𝐥𝐞𝐧𝐠𝐞🏆 No matter what happens, you will always be the winner of the ECL P0P1 Challenge, and no one can take that away from you. 120
Magic Data Science @mtgds.bsky.social · 22/02/2026📯I am pleased to announce the winner of the Lorwyn Eclipsed #P0P1 Challenge: 🎇 @formersquid 🎆 Going deep on BG, and hitting on the second-best Eclipsed creature (Kithkin), proved to be the keys to victory! 280
Magic Data Science @mtgds.bsky.social · 15/02/2026#calledshots for the future The Hobbit set: RW draft archetype will be Dwarf Typal, or at least, heavily Dwarf-centric, maybe with a connection to treasure (tho that's more likely RG) The return of common Legends, at least to fit in some of the many lesser Dwarves 460
Magic Data Science @mtgds.bsky.social · 11/02/2026I have chosen to not try to support SPM/OM1. Data is a little different, and it's a hassle to get it lined up. Juice not worth the squeeze. Sorry tho 100
Magic Data Science @mtgds.bsky.social · 10/02/2026Agree! I wonder if it's just the literal average of some number of survey respondents that indicated "yes, I play tabletop MtG" Or if it's expenditure-weighted, or something more interesting. 000
Magic Data Science @mtgds.bsky.social · 10/02/2026~ ≠ ≈ I'm open to using the ~ if you're texting or in a hurry, but on an earnings report, I'd probably take the time to figure out how to write the ≈. Also, some wild keming choices here 4121
Reposted by Magic Data ScienceMagic Data Science @mtgds.bsky.social · 10/02/2026Here 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! 1154
Magic Data Science @mtgds.bsky.social · 10/02/2026www.17lands.com/metrics_defi...17lands.com17Lands.com 010
Magic Data Science @mtgds.bsky.social · 10/02/2026Here 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! 1154
Reposted by Magic Data ScienceMagic Data Science @mtgds.bsky.social · 06/02/2026Some time ago, I came up with a method of measuring the "openness" of a card in Limited, which can summarize up to describing a particular format. One of the more interesting things I found was how relatively "on-rails" Bloomburrow was, with its 10 typal archetypes. You can... 3345
Magic Data Science @mtgds.bsky.social · 06/02/2026Agree! The hybrid changelings definitely seem to be doing their job. IDK what the exact intent was for the Typal hybrids, but they do seem to be a little more narrowly played than I expected on day 0. Closer to the BLB hybrids than the TLA ones. Ps. I love the hybrid Changelings; thanks for those 000
Magic Data Science @mtgds.bsky.social · 06/02/2026Read 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. 090
Magic Data Science @mtgds.bsky.social · 06/02/20265) The least Open cards -- the ones that are most narrowly drafted/played -- are mostly finely-targeted Typal synergy cards, many of which explicitly say the name of a creature type. This is very Bloomburresque. 150
Magic Data Science @mtgds.bsky.social · 06/02/20264) The most "Open" mono-color cards are, as usual, the strong removal cards, which are (a) desirable and (b) not usually synergy-reliant 150
Magic Data Science @mtgds.bsky.social · 06/02/20263) Contrast those with the Typal hybrid "signposts", which are drafted and played much more like gold cards than hybrid. In the graph ^^^^, you can see the distinction between these two groups of hybrid commons -- the gluey Changelings are way at the top of the distribution. 360
Magic Data Science @mtgds.bsky.social · 06/02/20262) The gluey hybrid Changelings are, as you might expect, pretty high-Openness. The "theoretical maximum" for these cards is a 7, which would be the 7 color-touching pairs playing the card equally frequently, and several of these are close, at 6+ 140
Magic Data Science @mtgds.bsky.social · 06/02/2026...as the graph shows, it also has the wide/low distribution characteristic of a fairly on-rails format. Here are some observations. 1) The most Open cards are, as usual, the colorless lands and artifacts, although even within these cards there are some archetype leanings. 150
Magic Data Science @mtgds.bsky.social · 06/02/2026... 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... 170
Magic Data Science @mtgds.bsky.social · 06/02/2026Some time ago, I came up with a method of measuring the "openness" of a card in Limited, which can summarize up to describing a particular format. One of the more interesting things I found was how relatively "on-rails" Bloomburrow was, with its 10 typal archetypes. You can... 3345
Magic Data Science @mtgds.bsky.social · 04/02/2026Someday they'll post a job that requires 2+ years of graph-making and Limited-format-predicting experience. 1191
Magic Data Science @mtgds.bsky.social · 02/02/2026I start with the AllPrintingsCSVFiles CSV from mtgjson.com/downloads/al... and then build other stuff on top of that. But that CSV is the most straightforward starting place, I thinkmtgjson.comAll FilesA list of all downloadable files, excluding individual sets and decks, output by the MTGJSON. 010
Magic Data Science @mtgds.bsky.social · 02/02/2026@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? 130
Reposted by Magic Data ScienceMagic Data Science @mtgds.bsky.social · 28/01/2026Here 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, ... 3112
Magic Data Science @mtgds.bsky.social · 28/01/2026...the lines are pretty well tangled up, which is often a sign of good color balance, though there is a slight edge to green. Just going off of this graph, I'd say -- look for Elves, but none of the 5 primary typal mechanics are guaranteed to fail, if built reasonably. 030
Magic Data Science @mtgds.bsky.social · 28/01/2026Here 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, ... 3112
Magic Data Science @mtgds.bsky.social · 28/01/2026I'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. 090
Reposted by Magic Data ScienceMagic Data Science @mtgds.bsky.social · 24/01/2026With all of the Treefolk and -1/-1 counters running around ECL, folks have been talking about how high-toughness the creatures in this set are. But, are they? 🤔 I went to make this graph, expecting ECL to be an obvious outlier, and it's... just not! As you can see... 👇 2113
Magic Data Science @mtgds.bsky.social · 24/01/2026... the creatures were in FIN. FIN > MOM > EMN > IKO are the four sets with the highest mean P+T.) 040
Magic Data Science @mtgds.bsky.social · 24/01/2026This holds up if you look at all cards, not just commons & uncommons. I just thought this was interesting, and a little counterintuitive. Especially after you add all of the -1/-1 counters, ECL is surprisingly low-toughness! (It's also interesting to see just how big... 130