Data Analysis: The Top Modern Decks, February–March 2021


Do you want to know which decks are the best in Modern? What to play, what to beat? Ranking the decks based on data rather than opinions? Let's review the results from Magic Online and see how we can analyze them to determine a tier list. Here is the first month of the post-Uro Modern world!

magical hacker

Entering a Modern Data World

In last week's article, we introduced the Modern format, and reviewed its development over the past months. If you did not read it yet and aren't familiar with modern Modern, I very much suggest that you at least give a look, since that article was written as a prelude to this article. At the end of it, we briefly touched upon the first two weeks of results after the bannings, including some graphs to visualize them and even a tier list. As promised, this article shows how I arrived at that tier list. We will also add more data to the analysis and look at some not-so-new archetypes appearing in the results.

The Magic Online Event Structure

magic online

Under the current circumstances, most Modern events take place on Magic Online (MTGO). They usually are official events, with results posted on Wizards of the Coast's website the day after, but third parties (such as Manatraders and Nerd Rage Gaming) also organize tournaments. The official Wizards events mostly take three forms:

  • Leagues consist of five matches that you can play whenever you want. There's no ranking (except based on the number of 5-0s after a few months when you play a lot of them) and rewards are based solely on the number of victories you earn in those five matches. The way Wizards publish the results of these events is subject to heavy criticism. They only post, twice a week, 5-0 decks with at least twenty cards difference compared to all the other 5-0 decks published in recent days. As such, rather than yielding information on archetype performance, these posts merely serve as an indicator of the diversity of the format. We cannot use League results for our analysis as long as they keep the same structure.

  • Preliminaries happen once each day of the week outside of the weekends and are four-round events. You can see them as a super competitive form of FNM, with a high entry cost, high rewards, and high-level players. Ever since a change in December 2020, only players hitting a 3-1 or a 4-0 record have their decklist published. These events do not provide a ranking, just a score. Alas, the mentioned change decreased both the accuracy of the data and the number of data points. So we do not use them today, but in the next article we will try to compare the data with or without Preliminary results.

  • Challenges (and other major events) gather dozens if not hundreds of players and take place each Saturday and Sunday. They can be seen as smaller online Grands Prix, with an average number of Swiss rounds between seven and eight, plus a Top 8. Sometimes they are replaced with even bigger events, such as Pro Tour Qualifiers or Showcase Challenges, but the structure is similar, they just have bigger stakes. You can find the details of Magic Online's premier play structure here. Events of this category only have their Top 32 decks published, along with a ranking and a score for each.

Note that the score of each deck is the triple of the number of wins. Indeed, each win grants three points, whereas a defeat does not grant any. Besides, we also know the number of rounds of each event, which means that we can determine the win rate of each deck by dividing the number of wins by the number of matches played. Since we also have the player name, the decklist, and the archetype name of each deck, we can determine the average win rate of each player, each card, and each archetype, in addition to their presence. It is even possible to go more in depth, especially for the cards, since we can get the full card data on MTGJSON. This way we can filter by set, by color, by type, by name, or even by artist for instance.

The unofficial events we mentioned follow the same structure as the official major events, except for Manatraders who first have a qualification stage. However, these organizers publish the entirety of the results rather than just the Top 32. For result analysis purposes, we only keep the Top 32 of these events to be able to compare them to the official major events for which we only have the Top 32. The resulting data set is a "winner's metagame" rather than an accurate picture of the metagame at large (which we cannot have anyway). Still, we will share some data from those events when they happen, in addition to the review of the Top 32. The next article will also provide a comparison of the data with or without these events, just like we will try adding the Preliminary results, but today we already have enough to cover.

TL;DR: we can compute the win rate and the presence (proportion) of almost anything in our data set. Due to the nature of the results (limited to Top 32 decklists) we have to call this the "winner's metagame." And we can get that data for each archetype, player, or card.

Do These Programs Also Make Coffee?

The results of those events are collected (scraped) by Reddit user Phelps-san, who has also developed a program to parse those results and recognize the archetype of each deck. They are then published in a practical format, such as JSON or CSV.

With that file, I can finally use my own program to generate graphs and provide an analysis of the events in spreadsheets. Do you want to know something about the data? For instance, which archetype playing Kaldheim cards with art by Magali Villeneuve appeared in the first eleven days after the bannings, its win rate, the URL of the events, and the decklists? The program can compute all of that and export it to a CSV, JSON, TXT, or XLSX file.

Four … Uhm, Three

We've now had four weeks worth of results since the bannings … Or at least that is what I wanted to say. In reality, we do not have four weeks of results because Wizards have inexplicably failed to update their website with new MTGO decklists since March 10!

MTGO decklist archive

So we only have three weeks of data to cover. What makes this even more disappointing is that this past weekend had not just two but three major events: two Challenges and one PTQ. At least we got some information about those events via Twitter. For instance, we've heard from the Heliod Combo player who won the PTQ, from the Esper Control player who won the Saturday Challenge, and about the same deck reaching the Top 4 of the Sunday Challenge. We also gleaned some other decklists from the Top 8s of those events, such as Blue-Red Kiki Exarch Combo, Jund Shadow, Mardu Stoneblade, Eldrazi Tron, and Four-Color Living End.

Unfortunately, we can only add full Top 32s to our collection, lest we destroy the homogeneity and comparability of our data. Here are the events we do cover.

List of MTGO Major Events Between 2021-02-17 and 2021-03-08:
Modern Challenge 2021-02-20
Modern Challenge 2021-02-21
Modern Challenge 2021-02-27
Modern Challenge 2021-02-28
Modern Showcase Challenge 2021-03-06
Modern Challenge 2021-03-07
Manatraders Series Modern February 2021-02-28
NRG Series Open Modern February 2021-02-21

Some Quick Stats:
Number of decks in the data: 256
Number of different players in the data: 213
Number of different cards in the data: 740
Number of exact archetypes in the data: 54
Number of super archetypes in the data: 42
Number of rounds played (with Top 8): 2068
Average number of Swiss rounds: 7.75
Minimum number of Swiss rounds: 7
Maximum number of Swiss rounds: 9
Number of events in the data: 8

While we do not have the data to provide a picture of the overall metagame, we can at least try to see which decks had the best performance, and to do so, we can count the number of performances (that ended in the Top 32) and measure the performances themselves (the average number of points per round or the win rate). To be accurate, instead of the number of copies of each archetype, we use as our presence metric the number of matches each archetype played. This allows us to weight the results depending on their "importance" (the more matches a deck played, the longer the event was, and/or it reached the Top 8). We will see in a later article what we can do for pure metagame presence based on number of copies, and compare it to the presence based on number of matches.

Presence, Performance, Percentages

Let us start with the presence of each archetype in the Top 32s, weighted by matches:

Proportion of exact archetypes in Top 32s, based on number of matches
Proportion of exact archetypes in Top 32s, based on number of matches

Not many changes to comment on with only a single additional week of data. Azorius Control lost two places, Shadow Prowess traded its position with Hammer Time, Amulet Titan rose a little while Mill fell … And Heliod Combo and Izzet Prowess switched their places. We also note that Bring to Light Scapeshift and Living End did not post enough Top 32 finishes in this third week to maintain a position outside of "Other." Monowhite Taxes, on the other hand, came out of nowhere and jumped over six other archetypes to claim its own slice of the pie. Most of the numbers are still very close, with 7.8% for the most represented deck compared to 7.6% last time and 30.9% for the "Other" category whereas we had 29.4% the week before.

We also have the win rate for each of those archetype, as mentioned previously, and even a confidence interval. The following shows only the most played archetypes to retain a degree of readability.

Win rates and confidence intervals in percent
Win rates and confidence intervals in percent (click to view at full resolution)

Wait, aren't those figures too high? If you assume that a win rate should be around 50%, indeed. But these are win rates of decks that reached the Top 32 of an event, so most of the time they have a win rate of at least 60% if not higher.

It is interesting to see that Heliod Combo has both the highest presence and the highest win rate among the archetypes (filtered to keep only the most represented decks). So we can infer just from those two graphs that it must be the best archetype in the format right now—which is an opinion that seems to be shared by most grinders from what you can gather online. However, all the other archetypes do not have a win rate that looks to be correlated to their presence. It is particularly striking with Izzet Prowess (with a high presence but a terrible win rate) and Jund Midrange (the opposite case). Since we take extreme examples, in the last part of this article you will see that, if you take the data of an entire tournament, like Manatraders' February event, Jund Midrange might not be as good as this graph would suggest. On the other hand, the lower quality of Izzet Prowess's results seems to be confirmed.

For a better visualization of that phenomenon, we can show both metrics in the same graph, with the win rate on the vertical axis and presence on the x axis:

Win rate by presence for all archetypes in Top 32s
Win rate by presence for all archetypes in Top 32s (click to view at full resolution)

Here you can see the performance of all the archetypes present in the data based on their win rate and presence. In particular, we can see Heliod at the top right corner, which appears to combine the best of both worlds. Two other points catch the eye. First, Niv to Light, with the single best win rate in the data set. The explanation, however, is simple: the deck only appeared once in all of the eight Top 32s, but it took down an entire event, only losing once in the Swiss rounds.

The opposite can be said about Rakdos Midrange, at the bottom left corner, which reached the Top 32 of the NRG Series almost by accident. The player did not drop from the event and played until the end, and because so many others did, their 3-4 record turned out to be good enough for a 29th place. Note that our data set contains just a single copy of either deck. Niv To Light appears much higher in terms of presence because it played twelve matches (nine Swiss rounds and three in the Top 8) whereas Rakdos Midrange only played seven. The possible existence of such extreme outliers is another reason why we should disregard all but the most played decks going forward.

What Was Old Is New Again

My previous article showed off decklists for many archetypes that had posted relevant results between Zendikar Rising and Kaldheim, as well as a few new ones that appeared between Kaldheim and the bannings. However, we did not cover some archetypes that came back afterward. The new powered-down Modern allowed a lot of former fan favorites to return. So it is time to complete this review of the format's main archetypes. We have no new big mana or aggro deck to introduce today, but true midrange decks are back!


Jund Midrange

The most iconic midrange deck of the Modern format, Jund tries to deplete the opponent's resources with discard spells such as Thoughtseize and removal like Fatal Push or Lightning Bolt. It then makes sure that the opponent goes hellbent with Liliana of the Veil. It refills its own resources with Wrenn and Six or Bloodbraid Elf and closes the game with a beater like Tarmogoyf.


Usually known as a deck running Stoneforge Mystic and counterspells based in white and blue, Stoneblade exists in multiple color combinations, and depending on the version and the colors, it can look closer to a tempo deck, a midrange deck, or even a control deck. It is even able to sideboard out the Mystic and its targets (usually Batterskull along with Sword of Feast and Famine and/or Sword of Fire and Ice) to turn into a full control deck in some matchups and, again depending on the version, with barely any target for removal, making it sometimes hard to sideboard against it. The archetype's best result recently was achieved with a WURG Stoneblade deck, reminiscent of the WURG Control that ran amok between Zendikar Rising and Kaldheim. The data set also includes Bant and Jeskai, even though the default configuration remains Azorius.

Gruul Midrange

Known as Ponza in the past (legend says that the deck's creator was eating a pizza "Ponza" while streaming it, although the name dates back at least to the late 1990s), it initially was a deck focused on land destruction, loading up on cards like Stone Rain. It's become much more effective since by cutting down on those spells, only keeping the flexible Pillage and harnessing the power of turn two Blood Moon. To enable that, it's using the same Utopia Sprawl/Arbor Elf package already mentioned in regard to Heliod Combo in the previous article. You can even live the dream of turn two Bloodbraid Elf cascading into one of them, and win through beatdown while your opponent is struggling with their mana. Klothys, God of Destiny and Seasoned Pyromancer were great additions to the archetype, granting it a lot of staying power.



Historically the main graveyard deck in Modern, Dredge uses cards with the eponymous ability such as Stinkweed Imp to mill its library quickly in combination with looting spells, for instance Cathartic Reunion. It then reanimates creatures such as Bloodghast to win through attacks. With Creeping Chill and Conflagrate, sometimes you do not even have to attack.


Azorius Control

With the departure of Uro, WURG Control lost the title of best control deck of the format and cut some colors down to two. While it might seem like a new deck as it is only introduced now, it actually was Modern's main control deck for years. As you can see, the main deck does not even contain any card released after Modern Horizons! It interacts through flexible and efficient removal (Path to Exile), counterspells (Mana Leak, Force of Negation, Cryptic Command), and wraths (Supreme Verdict). Then it tries to bury the opponent under multiple card advantage engines, meaning planeswalkers (the beloved Teferi, Time Raveler, Jace, the Mind Sculptor, better than all, or the powerful endgame Teferi, Hero of Dominaria). The deck eventually wins with them or via Snapcaster Mage beatdown, which is also a very valid plan in some matchups.

Blue and white can answer any spell or permanent, and using fewer colors means you can play more Field of Ruin for the big mana matchups, take less damage from the mana base against aggro, be more resilient against Blood Moon, and simply have a more stable mana supply.

Esper Control

You can also often find a variation that splashes black for: spot removal such as Fatal Push (better than Path to Exile against cheap creatures since you do not give a land); the immensely flexible Kaya's Guile (also making up for the life loss of a three-color mana base); or the emblematic draw-go spell Esper Charm (the discard mode helping to shore up the big mana matchup in lieu of land destruction).

Finding a "Best" Deck

Now that you are familiar with all the main archetypes in the data, how can we rank them? It is only possible to say that one deck is better than another when we compare a single value. However, we have two values for each deck: the presence in the winner's metagame and the win rate. We could choose to keep only one of these two values for each deck. However, neither is very reliable.

For the presence, it would be normal for a deck to have a 10% presence in the winner's metagame if it had a 10% presence in the entire metagame. Conversely, if a deck had a 30% presence in the initial metagame, and it only made up 10% of the winner's metagame, that would mean that the deck had a poor performance. As a consequence, since we do not have access to the full metagame breakdown, the winner's metagame is not enough of a metric to rank a deck. As for the win rate, it is not very reliable either because we do not have enough results to get small confidence intervals. Besides, again, it suffers from survivorship bias.

So we should look for a way to combine both values into a single one. First, we keep only the decks whose presence is above the average presence. This allows us to retain a reasonable number of decks, otherwise we would have way too many archetypes to derive useful information, as you saw on the two-dimensional graph earlier. The idea comes from Modern Nexus.

Win rate by presence for the most represented archetypes in Top 32s
Win rate by presence for the most represented archetypes in Top 32s (click to view at full resolution)

Since the above is just "zooming in" on the previous graph, it is normal that Heliod Combo appears again as the best deck from both metrics, alone in the top right corner. On the other hand, Gruul Midrange and Esper Control look pretty weak. This is interesting because that would most likely have changed with the fourth week of results, since Esper Control had a great showing this weekend (winning one Challenge and reaching the Top 4 in the other). Besides, one of the pilots, TSP Jendrek, a well-known Magic Online Modern grinder and control brewer, is convinced that Esper Control is much better positioned than Azorius Control at the moment.

Lower Bound of the Win Rate's Confidence Intervals

A first estimation would be to compare the lower bound of the confidence interval on the win rate. Indeed, that confidence interval depends a lot on the number of matches played. (That is another reason why I use the number of matches played as indicator of the presence instead of the number of copies.) So it is a way to combine both metrics. Here is the ranking of the most represented decks based on that metric.

Lower bound (in percent) of the win rate's confidence intervals for the most represented archetypes in Top 32s
Lower bound (in percent) of the win rate's confidence intervals for the most represented archetypes in Top 32s (click to view at full resolution)

As expected, Heliod Combo is on top, followed by Shadow Prowess and Azorius Control. However, Izzet Prowess sits much lower, really hindered by its lower win rate. Indeed, this metric puts a lot of weight in the win rate, since it is mostly based on it.

VS Meta Score: Distance to the Theoretical Best Deck

Developed by Hearthstone players, this metric generates a theoretical best deck, the "meta peak," which has the highest win rate and the highest presence. Then it computes the "distance" of each deck to that meta peak and ranks decks based on that distance. The smaller the distance, the stronger a deck is, so this time we find the best deck at the bottom. Here is the ranking of the most represented decks based on that metric.

VS Meta Score for the most represented archetypes in Top 32s
VS Meta Score for the most represented archetypes in Top 32s (click to view at full resolution)

From that metric, we get of course Heliod Combo as the best deck, but now it is followed by Izzet Prowess. So this metric appears to value the presence much more than the win rate. It is possible that a transformation of the win rate is needed before applying this metric, as we will do below, but since the initial users did not employ one, the results are showcased as it is initially built.

Summing the Metrics

The last idea presented here is to sum both the presence and the win rate. In order to compare similar values, I transformed them so they are all contained between 0 and 1. To do so, for each metric, I start by subtracting the minimum value in that metric from all the values of that metric (making it start from 0) and then divide by the maximum value of that metric (so that the result is contained between 0 and 1). This way, I can get a score for each archetype through summing the value each metric provides for that archetype after the transformation, eventually multiplied by a weight, with a formula.

Equation for the sum of the normalized metrics
Equation for the sum of the normalized metrics

To be accurate, before applying this transformation, I chose to take the logarithm of the presence. Indeed, the presence appears to be exponentially distributed.

Proportion of exact archetypes in Top 32s, based on number of matches
Proportion of exact archetypes in Top 32s, based on number of matches (click to view at full resolution)
Otherwise the weight of the presence appeared to be very high compared to the win rate's weight. This way we get a linear distribution of the presence, and a ranking that looks better in practice when you try to read the bidimensional graph of presence and win rate. For better readability, the values are multiplied by 100 on the graph below.
Sum of the normalized metrics for the most represented archetypes in Top 32s
Sum of the normalized metrics for the most represented archetypes in Top 32s (click to view at full resolution)

This is the metric I use to build a tier list as I found the results it provides to be very reasonable in practice. Indeed, I think it provides the best balance between the two initial metrics, the presence and the win rate. It is possible to use one of the two others mentioned above, though, especially the VS Meta Score, which also provides close results most of the time, maybe with the logarithmic transformation mentioned previously.

Crafting a Tier List

From here, we can finally build a tier list. To do so, we first take the average of our metric summing both the presence and win rate, what we can call unexpectedly the "sum metric." Its average is the green horizontal line you see on the graph above, and it cuts the data in half. Then we can split each half of the decks again with the value of the average more or less one standard deviation above and below—see the red lines on the graph. This way we get four tiers: 1, 1.5, 2, and 2.5, 1 being the best and 2.5 the worst. When there are large deviations, with a deck more than two standard deviations under or above the average, we can even create new tiers, below or above the initial ones. (Such would be the case for Heliod Combo here for instance, but it is alone in its tier anyway.) Here is what you get visually.

Tier list based on the sum of the normalized metrics for the most represented archetypes in Top 32s
Tier list based on the sum of the normalized metrics for the most represented archetypes in Top 32s

Bonus: Modern Series Full Results

Two unofficial major events took place since the bannings: the February 2021 Manatraders Series and the NRG Series MTGO Open. If you want to see what the results of a full tournament look like, and have an idea of what the actual metagame looks like, they might offer good resources. The NRG Series was relatively small, so we only have the metagame breakdown.

We also have the metagame breakdown for the Manatraders Series, but in addition a win rate matrix for the main archetypes was computed. Maybe you would like to see how all the archetypes performed and not just the most popular ones? Then you might be interested in the conversion rates to 6-3 and better results. This is where you can see Izzet Prowess and Jund Midrange really underperformed during the course of the biggest recent Modern event for which we have all the data.

Besides, this past weekend saw the most high-stake event in all of Magic Online: the Championship Showcase, seasons 2 and 3, awarding $20,000 to the winner alone. In these two small but extremely competitive events (since only players winning huge tournaments are able to qualify) the following decks were used. (You can find the lists here and there.)

4 Heliod Combo
3 Izzet Prowess
2 Azorius Control
1 Rakdos Prowess
1 Jund Shadow
1 Hammer Time
1 Bogles
1 Amulet Titan
1 Azorius Spirits
1 Oops All Spells

The two decks that went 3-0 in the Modern portion were Jund Shadow on Saturday and Heliod on Sunday.

Going Forward

With this article, I hope you have learned a few things about the structure of the MTGO events, what data organizers make available, and what we can use for analysis. We were able to visualize the performance of the main decks of the format, introduce the decklists of the archetypes we did not cover last time, and explain how to rank them.

My next article will cover metagame updates in the weeks to come and compare the Top 32 data with larger samples trying to represent the overall metagame. In the meantime, for regular Modern news, make sure to follow me on Twitter. Last, if you read this article until the end, you are likely to be interested in Modern, in which case you want to make sure not to miss the latest announcement about Modern Horizons 2, scheduled for release on June 11.

Opinions expressed in this article are those of the author and not necessarily Cardmarket.


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uberidiot(26.03.2021 21:25)

Awesome article!

But I want to ask if maybe there is a calculation mistake in the "sum metric" (linear combination metric)? Hear me out:

You explain that the sum metric es calculated by adding two terms; one for Presence, one for WinRate. Let's ignore the logarithm of the Presence.

You then explain that each term is rescaled to [0, 1]. If you rescale and add those two terms, then the maximum possible value is 2; or 200 after multiplying by 100. Yet the maximum value, from Heliod Combo, seems very low at 60 something.

Are you positive that when rescaling each term, you didn't divide by the maximum of the original data, instead of the maximum after substracting the minimum of the original data? What I mean is that if you use the original maximum, you are not rescaling so that the new maximum will be 1. It will be less than 1.

Maybe I misunderstood something.

Aliquanto(02.04.2021 10:52)(Edited: 02.04.2021 10:57)

Uberidiot hello, thanks for noting this.

The code is the following (with some formatting so that it is readable in the comment section:



(Presence_Weight * (metric_df$TotalMatches[i]- min(metric_df$TotalMatches)) / max(metric_df$TotalMatches)

(PPR_Weight * metric_df$WinrateAverage[i]-
Min(metric_df$WinrateAverage)) / max(metric_df$WinrateAverage )

) / (Presence_Weight+PPR_Weight)

I indeed divided by the maximum of the original, so it is true that it will be less than 1.
I can give this a try in the next article to see whether it rebalances things and changes the relative weight of the two variables.

The following update should fit your expectations:



(Presence_Weight * (metric_df$TotalMatches[i]-
Min(metric_df$TotalMatches)) /


(PPR_Weight * metric_df$WinrateAverage[i]-
Min(metric_df$WinrateAverage)) /

) / (Presence_Weight+PPR_Weight)

Please pay no attention to the capitals in the code, the website automatically adds them at the beginning of a line.

uberidiot(02.04.2021 17:35)(Edited: 02.04.2021 17:38)

Aliquanto the problem is that since each of Log(Presence) and WinRate are scaled to different max values, they will have different influence on their sum.

The scaling is to (max-min)/max, instead of to 1. Due to the nature of these WinRates, they'll probably have less "spread" (difference between max and min) than Log(Presence), so the sum will likely be more weighted towards Presence.
Your intention with this sum metric, as I understood it reading the article, was for Presence and WinRate to have equal weight in the result.

mollanaattori(22.03.2021 08:39)

Now we just need a guide on what decks to play against Heliod and what other ways are there to beat the deck

Aliquanto(22.03.2021 10:04)

Mollanaattori I will see with my editor if anything is planned on the topic then ^^

LeoLuchs(20.03.2021 13:08)

Hey Anaël,

Well written article! Appreciate your effort to create all these graphs. Got a question for you:
Usually, the metagame adapts if only a single deck is at the top (one could argue that the 4 copies of Auriok Champion in Heliod are a reaction to Prowess / Shadow wich many expected to be the top deck after the bannings). What do you expect to happen in the comming weeks - which deck would you pick if you'd go to a tournament right now?

Greetings and thanks in advance

Aliquanto(22.03.2021 09:59)

LeoLuchs thank you for your feedback!
Following this weekend's PTQ and NRG results, I would recommend in the following order:

GW Heliod
Jund Shadow
UR Prowess

Metagame breakdown of those two events can be found here:
Https://www. Reddit. Com/r/ModernMagic/comments/m9lecs/nrg_series_mtgo_open_results_march_2021/
Https://www. Reddit. Com/r/ModernMagic/comments/mabzo0/modern_super_qualifier_results_mar_21_2021/

And you can even find a winrate matrix of the NRG Series results here: https://mtgmeta. Io/tournaments/3023

The 4 copies of Auriok Champion are not just a reaction to Prowess/Shadow, this creature is also part of the deck's gameplan, allowing easier combo lines for instance (in addition to being a very strong hate card against other decks to beat, indeed).

For now, the metagame didn't prove to adapt all that much. It is harder to check without WotC posting the results though, currently we have to check manually what is going on. But with those decks already well identified as decks to beat and still putting up a lot of results, in the incoming days I would stick with them (in spite of my control player soul not liking this, but Control hardly put results at all since this article).

davide2006(18.03.2021 15:16)

Hello, for you why izzet prowness go so bad ?

Aliquanto(18.03.2021 15:48)(Edited: 18.03.2021 15:49)

Davide2006 because it hardly has good match-ups in the entirety of the higher tiers. Also people are simply very well prepared for it as it was expected to be very present post ban.

Dravenk(18.03.2021 13:37)

This one was quite an in-depth analysis ! A lot to take in but really insightful, good job !

Haaggen(18.03.2021 13:26)

Complete and precise work. An article very provided with many examples adapted as well for the beginner players who want to get started on their first competitive decks as for semi-professional players who will find there a mathematical and documented source of useful information.

It's a very good job, Aliquanto! Continuing on from your previous article which was already very well written and very accurate.

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