Sierkovitz Profile picture
Jun 14 6 tweets 3 min read Read on X
Early data can be misleading. And in MH3 we have a great case study for that.

Dimir.

On the face of it, it has a middling 54% win rate. In the middle of the pack of 6 lowest win rate archetypes. But scratch the surface and you might have a diamond in there.

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Firstly, despite the decks winning only 54% of the games, individual cards do well. 8 commons have a GiH WR >59%.

Pairs with similar WR don’t reach this level. UG has 5 such commons. BR - 2. UR, BG and WB only 1. That is a significant difference.

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And some of those commons have impressive win rates. Deem Inferior is at 62.5% , Sneaky Snacker, Accursed Marauder and Serum Visionary are over 60%. Those are solid numbers for cards that go late in draft. Kind of numbers that suggest a well drafted UB deck is competitive.

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And the uncommons also deliver. Depth Defiler and Marionette Apprentice clock at >62% and some late going uncommons like Mindless Conscription and Brainsurge Do well over 58% too.

And yet win rate is low. Why is it so?

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The most likely explanation? Bad builds dominate the data. And they cover archetype win rate. But bad builds don’t have the right cards in them, so individual card win rates shine. 5/6
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Dimir shows promise and also shows us that looking at the color pair win rates can potentially be misleading - yet again turns out context is key.

UB won’t be the top archetype but data suggests it is much further from the bottom than data suggests if you know what you’re doing.

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More from @Sierkovitz

Nov 13
New set is out so time to look at very early data to get the first hints of what it's all about. Remember - we are talking about very small sample size and a relatively bad dataset as people still don't know what they are doing so treat with caution! 1/8 Image
When it comes to color pair power level it seems we have 3 early tier one combinations: WU, WB and RB. There is a large chunk of color pairs that are lagging behind - remains to be seen which of those are just bad and which ones are just badly build in the early days. 2/8 Image
In terms of popularity of the color pairs - people love WB. The rest is evenly distributed, expect changes in the coming days. But Orzhov drafted so high and still winning is something to keep in mind. UR is less popular and wins much less as well, so probably will drop off. 3/8 Image
Read 8 tweets
Oct 31
Cube Season is upon us so a quick data thread. And it is about draft portion. Win rate data is still way too low in volume, but instead, I will focus on the pick rates of 17Lands users and general Arena population. 1/12 Image
"But how do you get the Arena pick rate from non-17Lands users?" I estimate it. I know ALSA is non-linearly linked to pick rate and based on it, I can recalculate what the pick rate should be for given cards. Any outliers in the 17L user data can be then corrected for that. 2/12
So, which cards are picked much earlier than estimated by the 17L users? Here is the top 15 of them and you can notice some trend. First of them: Grenzo is undervalued by the general population. 17L users pick it ~50% of time they see it and for a good reason - it's busted. 3/12 Image
Read 13 tweets
Oct 20
Omniscience draft sounds like a coin-flip, but it isn't as it currently stands. If you think that who is on the play, wins - you are probably losing some value there. Also - you will probably have ~20% win rate against me. It took several drafts, but I think nailed it now. 1/9 Image
First thing: the meta plan. Everyone figured out card draw is good. But this is only layer 1. Layer 2 is disruption. Counters and discard. Layer 3 is the inevitability. You want to build your deck so that after your turn oppo is locked. Hellbent against a counter or dead. 2/9
OK - Layer 1. Obvious choices are Drowned Diner and Derilict Attic - no limit on those in the deck. But Ricketty Gazebo and Glimmerburst are as good. Jam the deck full of those. 3/9 Image
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Read 10 tweets
Oct 6
It is time to help constructed community with data and look at the RC DC metagame and win rates in Pioneer. Let's start with the tournament-wide win rates for the top 10 played decks. As you can see top 4 played decks did reasonably well, but MonoB was the real winner at 54%. 1/7 Image
Notable flops were Greasefang and MonoG (not that @DanaFischerMTG cares - congrats). Also Rakdos Transmogrify and Jund Sac underperformed.

Of the top 4 played decks, Rakdos Aggro did best at 52.1% but Azorius Control, Phoenix and Enigmatic Incarnation were close behind. 2/7
But that doesn't tell the full story - plenty of other decks were played. Here are the next 10 archetypes. Here we have 3 notable flops: Boros Control, Gruul Aggro and MonoW Humans. But also 2 outstanding performances with Rakdos Cauldron and Selesnya Company. 3/7 Image
Read 7 tweets
Sep 18
Hot takes time! Everyone is loving Manifest Dread so time to put it down a notch. This thread I will air all my doubts about the new mechanic. Don't misunderstand me - I am not claiming it is rubbish but I think we shouldn't be forgetting downsides. 1/11 Image
Tagged along many spells in the format, MD lets you look at the top 2 cards of your library and put one of them face down. If it is a creature, you can turn it face up any time for its casting cost. That is neat. But is it broken? 2/11 Image
First: how often you will get a creature? If you have a land face down, you produced a vanilla 2/2 - not bad but not amazing. Here are the average probabilities of hitting 1 or more creatures when casting Manifest Dread spell on t2 depending on no. of creatures in your deck. 3/11 Image
Read 12 tweets
Sep 13
Today a bit of a deep dive into a never-explored draft data, so please give me comments on how you like it and what would be interested in this area. We go deep on game play stats dug out from the murky depths of replay data on 17L. And it is all about turn 5.

Why turn 5? 1/21 Image
It is late enough in the game to have loads of data, but not so late that I have to exclude too many games. And I excluded every game that ended t5 or earlier, so keep in mind - all the most lopsided games are not in this analysis, something to keep in mind. 2/21
What did I do? Well, I looked at games on play and draw. What creatures were in play at the start. What creatures were there at the end. Which creatures attacked, died, were cast during the turn. And analysed any trends in there. 3/21
Read 22 tweets

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