Legacy data analysis

Published

July 9, 2025

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1 Acknowledgements

Thanks to Badaro for his data collection work and the archetype parser.
Thanks to Aliquanto for his initial analysis, which served as an inspiration for me.
Thanks to Jiliac for integrating Qonfused data and maintaining Format data.

2 Data include

This book contains data in Legacy format since 31/03/2025. If the period in question contains ban announcements, decks containing non-legal cards have been excluded, as have the associated matchups. Decks containing more than 30 copies of a single card have also been excluded. For decklist analyses, only decks valid for the format have been included (number of main deck cards > 60 and number of side cards <= 15).

3 Principal chapter

3.1 Metagame

3.1.1 Presence archetype

This chapter shows the representation of differences over time. Leagues are excluded from this analysis.

File in 3 parts :

The first shows the presence curves over time for each archetype or archetype base (weeks are expressed in 2 last digits years.weeks of the year). Archetypes with too low a presence are deactivated by default but can be reactivated by clicking on the desired decks. By default, certain Archetypes are hidden if their number is less than 0.25%.

Leagues are includes in this part

The second part shows the presence barchart of the different archetypes (archetype is define as other if their number is less than the minimum of 50 or 1%) and base archetypes for different time intervals:

  • all data

  • one moth

  • two weeks

  • one week

Additional information is available in tooltip (for Archetype and base archetype):

  • Number of copies of the deck

  • The delta in percent compared to the upper time interval

  • Deck rank and its evolution compared to the previous time interval

  • Win rates and confidence interval

    • The confidence interval graphs show the averages and 95% confidence intervals (calculated using the Agresti-Coull method).

    • The vertical red line represents the mean of the winrates and the dotted blue lines represent the mean of the upper and lower bounds of the confidence interval.

    • Top player 10 (top 10 lower CI winrate bound) average win rate and CI (A player need at least 20 rounds for Archetype and 10 for base archetype) result are show above error barIn particular, the publication of the top32 only for results from MTGO led to an overestimation of the winrates, the winrates were centred.

The last part present :

  • The représentation of each colors combinations in the format

  • Number of target for 2 cmc black removal.

  • The presence of different cards in the format.

Leagues are includes in this part

3.1.2 Matrix WR

This chapter focuses on the data for which we know the result of each match and the Archetype of the opponent.

In order to be included, an archetype must be represented more than 50 times in the dataset.

  • Matrix considers the matches as a whole (for example, a 2-1 score counts as 1 game won).

Part one focus on Archetype (aggragated) and part two on base archetype (parser archetype).

They are built on the following model (additionnal information in tooltip) one tab for all data and one tab for 1 month data:

  • Summary of data.

  • Bar chart shows the presence of each archetype and base archetype, as well as their win rate and some additional information in tooltips.

  • The confidence interval graphs show the averages winrates (without miror matchs) and 95% confidence intervals (calculated using the Agresti-Coull method). The vertical red line represents the mean of the winrates and the dotted blue lines represent the mean of the upper and lower bounds of the confidence interval. - Top player 10 (top 10 lower CI winrate bound) average win rate and CI (A player need at least 20 rounds for Archetype and 10 for base archetype) result are show above error bar

  • A complete matrix with all the information.

  • Multiple table with win rate of cards per matchup (only valid deck and matchup with more than 10 games are presented) : the first concentrates on the aggregated maccro archetypes and the second presents the sub-archetypes. Each part is organised in the same way, repeated 2 times, one for the maindeck and one for the sideboard.

  • Base cards: These are the cards present in decks almost exclusively in a given number of copies (deck numbers without the most common count less than 10).

  • Side/Mainboard cards: Cards present in variable numbers in the decks The third part explores the notion of the best deck according to a given metagame using the winrates obtained using the complete games obtained on the data set and the presence of each archetype over time (weeks are expressed in 2 last digits years.weeks of the year).

In order to determine an expected number of victories 2 criteria are used the average winrate and the lower bounds of the confidence interval.Please note that this part is still under construction as some decks with too few matchups are included.

3.2 Deck winrate

3.2.1 Card win rate table

Presents the win rate of each card in each archetype in the form of multiple tables.

The definition of each column is given in a tooltip accessible by passing the cursor over the column names.

This file is split into 2 parts : the first concentrates on the aggregated maccro archetypes and the second presents the sub-archetypes.

Each part is organised in the same way, repeated 2 times, one for the maindeck and one for the sideboard.

  • Base cards: These are the cards present in decks almost exclusively in a given number of copies (deck numbers without the most common count less than 10).

  • Side/Mainboard cards: Cards present in variable numbers in the decks

3.2.2 Cards WR models

This analysis attempts to use regression to determine the cards with the best performance inside archetype or base archetype.

A binomial regression is initially trained on a set of decks. In order to be included in this analysis the archetype must be present at least 50 times in the dataset.

In order to be considered a card must be included at least 50 times in either the main deck or the sideboards, one or the other being considered separately. In models comparing the number of copies of each card, when a number of copies is less than 50 it is grouped with an adjacent number of copies. For example, a card that is present 32 times in 1 copy 200 times in 2 copies, 15 times in 3 copies and 47 times in 4 copies would lead to the following result 1/2 : 232 and 3/4 : 62. The formulation 2-4 indicates that the numbers of copies 2, 3 and 4 have been grouped together.

Be careful, this part leads to results that I’m not really sure of. The interpretation of the regression coefficients seems really questionable, particularly in relation to the collinearity problem and the very large number of variables with sometimes small sample sizes. I would therefore encourage you to be very careful.

Templates are created separately for the maindeck and the sideboard and maindeck and side board pull together (Total 75) according to the following scheme :

  • Base Cards cards systematically present in decks with an almost fixed number of copies less than 50 decks that do not have the most common number of copies. decks with zero copies are grouped with the majority class) contained in the decks, for which the number of copies varies, quasibinomial regression models are created using the wins and losses of each deck :

    • Comparing for each card presence Most common count vs absence Other

    • Comparing each card count with a sufficient sample size Most common count vs 1 vs 3-4 for example

  • Uncommon Cards, These cards are not always included in decks, quasibinomial regression models are created using the wins and losses of each deck :

    • Comparing for each card presence +1 vs absence 0

    • Comparing each card count with a sufficient sample size 0 vs 1 vs 3-4 for example.

3.3 Best performing deck

3.3.1 Best deck analysis

This analysis attempts to use regression to determine the decks with the best performance inside archetype or base archetype.

A binomial regression is initially trained on a set of decks. In order to be included in this analysis the archetype must be present at least 50 times in the dataset.

In order to be considered a card must be included at least 25 times in either the main deck or the sideboards, one or the other being considered separately. In models comparing the number of copies of each card, when a number of copies is less than 25 it is grouped with an adjacent number of copies. For example, a card that is present 32 times in 1 copy 200 times in 2 copies, 15 times in 3 copies and 47 times in 4 copies would lead to the following result 1/2 : 232 and 3/4 : 62. The formulation 2-4 indicates that the numbers of copies 2, 3 and 4 have been grouped together. Be careful, this part leads to results that I’m not really sure of. The interpretation of the regression coefficients seems really questionable, particularly in relation to the collinearity problem and the very large number of variables with sometimes small sample sizes. I would therefore encourage you to be very careful.

A total of 6 quasibinomial regression models are created using the wins and losses of each deck:.

  • Two models using the deck as a whole (maindeck and sideboard)

    • Comparing for each card presence +1 vs absence 0.

    • Comparing each card count with a sufficient sample size 0 vs 1 vs 3-4 for example

  • Four separate models 2 for maindeck and 2 for sideboard

    • Comparing for each card presence +1 vs absence 0

    • Comparing each card count with a sufficient sample size 0 vs 1 vs 3-4 for example

These different models are then used to determine the 7 complete decks (maindeck and sideboard) with the highest probability of victory for each archetype (weeks are expressed in 2 last digits years.weeks of the year).

As well as the 7 maindecks and 7 sideboards with the highest probability of victory are presented for each archetype.Warning: this second part can lead to inconsistent combinations. It seemed useful if you want explore the maindecks and sides separately.

Table shows the top7 decks:

  • Firstly base cards (present in all decklist).

  • Variables cards are present as card name average number of cards[minimum; maximum number of cards]number of base cards* (if this card is also in base cards)

3.3.2 Top 8 deck

This chapter is divided by week over the last 3 weeks (weeks are expressed in 2 last digits years.weeks of the year). For each week the different tournaments with more than64players.-For each tournament, a bar graph shows the presence of each archetype and base archetype, as well as their win rate and some additional information in tooltips.

  • A table shows the top8 decks, their basic archetype Archetype the player (which is a link to the decklist), and the decklist itself.

3.4 New card

This chapter focuses on the cards that have recently entered the format (the latest 5 months). The aim is to present the number of times they have been included in decks and their winrates. The file is split into 3 parts:

  • A first part aggregating all the cards whether they are maindeck or sideboard and whatever the archetypes.

  • The second part is stratified by archetype and shows the presence and winrate of new cards when they are present in the main deck.

  • The third part is stratified by archetype and shows the presence and winrate of new cards when they are present in the sideboard.

For parts 2 and 3, the win rates of the cards are only described in situations with a number of wins and losses (excluding 5-0 leagues), but the presence of a card also includes 5-0 leagues.

4 Archetype aggregation

For the grouping of decks, the analyses are mainly centred around 2 concepts: archetype and base archetype. Base archetypes are very close to the archetypes returned by the XXX parser. The archetypes are a personal construction to try to solve two problems:

  • giving more flexibility to predict certain decks considered unknown by the parser
  • Group together decks with a small number of players that would be very close to a deck with a larger number of players.

Deck with banned cards or with 40 copies or more of a single card are excluded.

4.1 Predict model

5 models were trained on decks with a defined archetype over the last 6 months, or over the entire period of interest if it was longer than 6 months, with cross-validation on 5 folds. The hyper parameters of each model were chosen from a grid search.

  • C5 decision tree
  • Random forest
  • Elastic net regression
  • KNN
  • Xgboost

Then the ‘unknown’ decks or decks with an archetype with low sample size were predicted by each model returns a probability that the deck belongs to each training archetype. The results were aggregated by averaging the probability returned by each model that a deck belonged to one of the training archetypes. For decks with an average probability greater than 0.3, they were integrated into the most likely archetype on average according to the models.

Tabler summarise how the archetypes are aggregated
Custom corresponds to my definition of archetypes, also shown as Base_archetype in the data

Reference corresponds to Badaro definition of archetypes, also shown as Reference_archetype in the data
Parser
Custom
Reference
Custom Reference Percent Archetype Percent Sub Archetype Percent Archetype Percent Sub Archetype
Delver (n :2142) Temur Delver Temur Delver 128/2142(6%) 128/128(100%) 128/2142(6%) 128/128(100%)
Izzet Midrange Izzet Midrange 8/2142(0.4%) 8/8(100%) 8/2142(0.4%) 8/8(100%)
Dimir Delver Dimir Delver 405/2142(18.9%) 405/405(100%) 405/2142(18.9%) 405/405(100%)
Dimir Death 's Shadow Dimir Death 's Shadow 3/2142(0.1%) 3/3(100%) 3/2142(0.1%) 3/3(100%)
Golgari Reanimator Golgari Reanimator 43/2142(2%) 43/43(100%) 43/2142(2%) 43/43(100%)
Grixis Control Grixis Control 41/2142(1.9%) 41/41(100%) 41/2142(1.9%) 41/41(100%)
Dimir Reanimator Dimir Reanimator 559/2142(26.1%) 559/559(100%) 559/2142(26.1%) 559/559(100%)
Esper Delver Esper Delver 17/2142(0.8%) 17/17(100%) 17/2142(0.8%) 17/17(100%)
Grixis Reanimator Grixis Reanimator 47/2142(2.2%) 47/47(100%) 47/2142(2.2%) 47/47(100%)
Grixis Delver Grixis Delver 142/2142(6.6%) 142/142(100%) 142/2142(6.6%) 142/142(100%)
Esper Midrange Esper Midrange 17/2142(0.8%) 17/17(100%) 17/2142(0.8%) 17/17(100%)
Izzet Delver Izzet Delver 259/2142(12.1%) 259/259(100%) 259/2142(12.1%) 259/259(100%)
Jeskai Aggro Jeskai Aggro 12/2142(0.6%) 12/14(85.7%) 12/2142(0.6%) 12/14(85.7%)
Grixis Midrange Grixis Midrange 43/2142(2%) 43/43(100%) 43/2142(2%) 43/43(100%)
Dimir Midrange Dimir Midrange 19/2142(0.9%) 19/24(79.2%) 19/2142(0.9%) 19/24(79.2%)
Jeskai Midrange Jeskai Midrange 28/2142(1.3%) 28/57(49.1%) 28/2142(1.3%) 28/57(49.1%)
Mono Black Reanimator Mono Black Reanimator 7/2142(0.3%) 7/7(100%) 7/2142(0.3%) 7/7(100%)
Jeskai Control Jeskai Control 54/2142(2.5%) 54/54(100%) 54/2142(2.5%) 54/54(100%)
Izzet Control Izzet Control 1/2142(0%) 1/1(100%) 1/2142(0%) 1/1(100%)
Worldgorger Combo Worldgorger Combo 10/2142(0.5%) 10/10(100%) 10/2142(0.5%) 10/10(100%)
Rea Show Rea Show 5/2142(0.2%) 5/5(100%) 5/2142(0.2%) 5/5(100%)
Esper Control Esper Control 38/2142(1.8%) 38/38(100%) 38/2142(1.8%) 38/38(100%)
Rakdos Reanimator Rakdos Reanimator 6/2142(0.3%) 6/6(100%) 6/2142(0.3%) 6/6(100%)
Jund Reanimator Jund Reanimator 38/2142(1.8%) 38/38(100%) 38/2142(1.8%) 38/38(100%)
Burn Burn 14/2142(0.7%) 14/14(100%) 14/2142(0.7%) 14/14(100%)
Azorius Aggro Azorius Aggro 1/2142(0%) 1/5(20%) 1/2142(0%) 1/5(20%)
Mono Black Midrange Mono Black Midrange 35/2142(1.6%) 35/57(61.4%) 35/2142(1.6%) 35/57(61.4%)
Mono Black Helm Combo Mono Black Helm Combo 1/2142(0%) 1/7(14.3%) 1/2142(0%) 1/7(14.3%)
WUBG Midrange WUBG Midrange 1/2142(0%) 1/1(100%) 1/2142(0%) 1/1(100%)
WURG Control WURG Control 7/2142(0.3%) 7/7(100%) 7/2142(0.3%) 7/7(100%)
WUBG Control WUBG Control 1/2142(0%) 1/1(100%) 1/2142(0%) 1/1(100%)
Jund Scam Jund Scam 2/2142(0.1%) 2/3(66.7%) 2/2142(0.1%) 2/3(66.7%)
Grixis Death 's Shadow Grixis Death 's Shadow 1/2142(0%) 1/1(100%) 1/2142(0%) 1/1(100%)
Azorius Human Azorius Human 2/2142(0.1%) 2/2(100%) 2/2142(0.1%) 2/2(100%)
Echo of Eons Echo of Eons 1/2142(0%) 1/1(100%) 1/2142(0%) 1/1(100%)
Bant Control Bant Control 2/2142(0.1%) 2/2(100%) 2/2142(0.1%) 2/2(100%)
Mono Blue Delver Mono Blue Delver 4/2142(0.2%) 4/4(100%) 4/2142(0.2%) 4/4(100%)
Delver Unknown 5/2142(0.2%) 5/5(100%) 5/2142(0.2%) 5/62(8.1%)
Mardu Reanimator Mardu Reanimator 3/2142(0.1%) 3/3(100%) 3/2142(0.1%) 3/3(100%)
Wither Bloom Wither Bloom 3/2142(0.1%) 3/9(33.3%) 3/2142(0.1%) 3/9(33.3%)
Dimir Mill Dimir Mill 1/2142(0%) 1/1(100%) 1/2142(0%) 1/1(100%)
Tin Fins Tin Fins 4/2142(0.2%) 4/4(100%) 4/2142(0.2%) 4/4(100%)
Esper Blink Esper Blink 1/2142(0%) 1/1(100%) 1/2142(0%) 1/1(100%)
Naya Aggro Naya Aggro 2/2142(0.1%) 2/2(100%) 2/2142(0.1%) 2/2(100%)
Sultai Reanimator Sultai Reanimator 14/2142(0.7%) 14/14(100%) 14/2142(0.7%) 14/14(100%)
Merfolk Merfolk 3/2142(0.1%) 3/8(37.5%) 3/2142(0.1%) 3/8(37.5%)
Jund Hogaak Jund Hogaak 1/2142(0%) 1/2(50%) 1/2142(0%) 1/2(50%)
Rakdos Midrange Rakdos Midrange 11/2142(0.5%) 11/13(84.6%) 11/2142(0.5%) 11/13(84.6%)
Sultai Midrange Sultai Midrange 18/2142(0.8%) 18/18(100%) 18/2142(0.8%) 18/18(100%)
Temur Control Temur Control 1/2142(0%) 1/1(100%) 1/2142(0%) 1/1(100%)
Ruby Storm Ruby Storm 1/2142(0%) 1/10(10%) 1/2142(0%) 1/10(10%)
Mono Black Delver Mono Black Delver 11/2142(0.5%) 11/11(100%) 11/2142(0.5%) 11/11(100%)
Orzhov Aggro Orzhov Aggro 1/2142(0%) 1/9(11.1%) 1/2142(0%) 1/9(11.1%)
Other Patchwork Other Patchwork 5/2142(0.2%) 5/35(14.3%) 5/2142(0.2%) 5/35(14.3%)
WUBR Reanimator WUBR Reanimator 4/2142(0.2%) 4/4(100%) 4/2142(0.2%) 4/4(100%)
Orzhov Midrange Orzhov Midrange 1/2142(0%) 1/7(14.3%) 1/2142(0%) 1/7(14.3%)
Thought Lash combo Thought Lash combo 1/2142(0%) 1/6(16.7%) 1/2142(0%) 1/6(16.7%)
Sultai Zenith Sultai Zenith 1/2142(0%) 1/1(100%) 1/2142(0%) 1/1(100%)
Mono Black Scam Mono Black Scam 3/2142(0.1%) 3/3(100%) 3/2142(0.1%) 3/3(100%)
Aluren Aluren 3/2142(0.1%) 3/3(100%) 3/2142(0.1%) 3/3(100%)
Jeskai Miracle Jeskai Miracle 1/2142(0%) 1/1(100%) 1/2142(0%) 1/1(100%)
Dimir Control Dimir Control 2/2142(0.1%) 2/2(100%) 2/2142(0.1%) 2/2(100%)
Esper Reanimator Esper Reanimator 3/2142(0.1%) 3/3(100%) 3/2142(0.1%) 3/3(100%)
WURG Mentor WURG Mentor 1/2142(0%) 1/3(33.3%) 1/2142(0%) 1/3(33.3%)
Food Chain Food Chain 5/2142(0.2%) 5/10(50%) 5/2142(0.2%) 5/10(50%)
Jeskai Delver Jeskai Delver 1/2142(0%) 1/1(100%) 1/2142(0%) 1/1(100%)
Azorius Midrange Azorius Midrange 4/2142(0.2%) 4/40(10%) 4/2142(0.2%) 4/40(10%)
Smallpox Smallpox 1/2142(0%) 1/5(20%) 1/2142(0%) 1/5(20%)
Mardu Midrange Mardu Midrange 1/2142(0%) 1/1(100%) 1/2142(0%) 1/1(100%)
Sultai Delver Sultai Delver 5/2142(0.2%) 5/5(100%) 5/2142(0.2%) 5/5(100%)
Mardu Aggro Mardu Aggro 2/2142(0.1%) 2/15(13.3%) 2/2142(0.1%) 2/15(13.3%)
Sultai Control Sultai Control 4/2142(0.2%) 4/4(100%) 4/2142(0.2%) 4/4(100%)
Dimir Scam Dimir Scam 1/2142(0%) 1/1(100%) 1/2142(0%) 1/1(100%)
Orzhov Reanimator Orzhov Reanimator 1/2142(0%) 1/1(100%) 1/2142(0%) 1/1(100%)
Esper Aggro Esper Aggro 1/2142(0%) 1/1(100%) 1/2142(0%) 1/1(100%)
Bant Aggro Bant Aggro 2/2142(0.1%) 2/2(100%) 2/2142(0.1%) 2/2(100%)
Mono Blue Midrange Mono Blue Midrange 2/2142(0.1%) 2/3(66.7%) 2/2142(0.1%) 2/3(66.7%)
Temur Midrange Temur Midrange 3/2142(0.1%) 3/3(100%) 3/2142(0.1%) 3/3(100%)
WUBG Zenith WUBG Zenith 1/2142(0%) 1/1(100%) 1/2142(0%) 1/1(100%)
Control (n :478) Dimir Ninjas Dimir Ninjas 28/478(5.9%) 28/28(100%) 28/478(5.9%) 28/28(100%)
Cephalid breakfast Cephalid breakfast 205/478(42.9%) 205/205(100%) 205/478(42.9%) 205/205(100%)
Azorius Midrange Azorius Midrange 36/478(7.5%) 36/40(90%) 36/478(7.5%) 36/40(90%)
Azorius Stiflenought Azorius Stiflenought 12/478(2.5%) 12/12(100%) 12/478(2.5%) 12/12(100%)
White Beanstalk White Beanstalk 109/478(22.8%) 109/109(100%) 109/478(22.8%) 109/109(100%)
Jeskai Stoneblade Jeskai Stoneblade 18/478(3.8%) 18/18(100%) 18/478(3.8%) 18/18(100%)
Izzet Stiflenought Izzet Stiflenought 3/478(0.6%) 3/3(100%) 3/478(0.6%) 3/3(100%)
Jeskai Midrange Jeskai Midrange 27/478(5.6%) 27/57(47.4%) 27/478(5.6%) 27/57(47.4%)
Temur Stiflenought Temur Stiflenought 2/478(0.4%) 2/2(100%) 2/478(0.4%) 2/2(100%)
Control Unknown 2/478(0.4%) 2/2(100%) 2/478(0.4%) 2/62(3.2%)
Esper Stoneblade Esper Stoneblade 5/478(1%) 5/5(100%) 5/478(1%) 5/5(100%)
Sultai Stiflenought Sultai Stiflenought 2/478(0.4%) 2/2(100%) 2/478(0.4%) 2/2(100%)
Mono Blue Midrange Mono Blue Midrange 1/478(0.2%) 1/3(33.3%) 1/478(0.2%) 1/3(33.3%)
WURG Mentor WURG Mentor 2/478(0.4%) 2/3(66.7%) 2/478(0.4%) 2/3(66.7%)
Jeskai Stiflenought Jeskai Stiflenought 7/478(1.5%) 7/7(100%) 7/478(1.5%) 7/7(100%)
Mono Blue Stiflenought Mono Blue Stiflenought 6/478(1.3%) 6/6(100%) 6/478(1.3%) 6/6(100%)
Azorius Stoneblade Azorius Stoneblade 1/478(0.2%) 1/1(100%) 1/478(0.2%) 1/1(100%)
Orzhov Stoneblade Orzhov Stoneblade 1/478(0.2%) 1/1(100%) 1/478(0.2%) 1/1(100%)
Dimir Midrange Dimir Midrange 3/478(0.6%) 3/24(12.5%) 3/478(0.6%) 3/24(12.5%)
Dimir Stiflenought Dimir Stiflenought 1/478(0.2%) 1/1(100%) 1/478(0.2%) 1/1(100%)
Other Patchwork Other Patchwork 1/478(0.2%) 1/35(2.9%) 1/478(0.2%) 1/35(2.9%)
WURG Cascade Rhinos WURG Cascade Rhinos 2/478(0.4%) 2/2(100%) 2/478(0.4%) 2/2(100%)
Bant Stoneblade Bant Stoneblade 1/478(0.2%) 1/1(100%) 1/478(0.2%) 1/1(100%)
5 Color Midrange 5 Color Midrange 1/478(0.2%) 1/1(100%) 1/478(0.2%) 1/1(100%)
5 Color Stoneblade 5 Color Stoneblade 1/478(0.2%) 1/1(100%) 1/478(0.2%) 1/1(100%)
Bant Midrange Bant Midrange 1/478(0.2%) 1/3(33.3%) 1/478(0.2%) 1/3(33.3%)
Show And Tell (n :357) Show and Tell Show and Tell 330/357(92.4%) 330/330(100%) 330/357(92.4%) 330/330(100%)
Food Chain Food Chain 5/357(1.4%) 5/10(50%) 5/357(1.4%) 5/10(50%)
Creative combo Creative combo 17/357(4.8%) 17/18(94.4%) 17/357(4.8%) 17/18(94.4%)
Thought Lash combo Thought Lash combo 1/357(0.3%) 1/6(16.7%) 1/357(0.3%) 1/6(16.7%)
Show And Tell Unknown 2/357(0.6%) 2/2(100%) 2/357(0.6%) 2/62(3.2%)
Hypergenesis Hypergenesis 2/357(0.6%) 2/2(100%) 2/357(0.6%) 2/2(100%)
Oops ! All Spells (n :332) Dredge Dredge 16/332(4.8%) 16/19(84.2%) 16/332(4.8%) 16/19(84.2%)
Oops ! All Spells Oops ! All Spells 315/332(94.9%) 315/315(100%) 315/332(94.9%) 315/315(100%)
Dimir Midrange Dimir Midrange 1/332(0.3%) 1/24(4.2%) 1/332(0.3%) 1/24(4.2%)
Prison (n :322) Boros Initiative Boros Initiative 12/322(3.7%) 12/12(100%) 12/322(3.7%) 12/12(100%)
Mono Red Prison Mono Red Prison 219/322(68%) 219/219(100%) 219/322(68%) 219/219(100%)
Mono Red Initiative Mono Red Initiative 2/322(0.6%) 2/2(100%) 2/322(0.6%) 2/2(100%)
Gruul Initiative Gruul Initiative 8/322(2.5%) 8/8(100%) 8/322(2.5%) 8/8(100%)
Boros Prison Boros Prison 2/322(0.6%) 2/2(100%) 2/322(0.6%) 2/2(100%)
Mono White Initiative Mono White Initiative 6/322(1.9%) 6/6(100%) 6/322(1.9%) 6/6(100%)
Naya Initiative Naya Initiative 43/322(13.4%) 43/43(100%) 43/322(13.4%) 43/43(100%)
Izzet Prison Izzet Prison 1/322(0.3%) 1/1(100%) 1/322(0.3%) 1/1(100%)
Prison Unknown 9/322(2.8%) 9/9(100%) 8/322(2.5%) 8/62(12.9%)
Selesnya Stax Selesnya Stax 1/322(0.3%) 1/1(100%) 1/322(0.3%) 1/1(100%)
Mono White Stax Mono White Stax 6/322(1.9%) 6/6(100%) 6/322(1.9%) 6/6(100%)
Madness Madness 2/322(0.6%) 2/5(40%) 2/322(0.6%) 2/5(40%)
Prison Prison 9/322(2.8%) 9/9(100%) 1/322(0.3%) 1/1(100%)
Rakdos Midrange Rakdos Midrange 2/322(0.6%) 2/13(15.4%) 2/322(0.6%) 2/13(15.4%)
Azorius Initiative Azorius Initiative 3/322(0.9%) 3/3(100%) 3/322(0.9%) 3/3(100%)
Soldier Stompy Soldier Stompy 1/322(0.3%) 1/1(100%) 1/322(0.3%) 1/1(100%)
Rakdos Prison Rakdos Prison 3/322(0.9%) 3/3(100%) 3/322(0.9%) 3/3(100%)
Rakdos Death 's Shadow Rakdos Death 's Shadow 1/322(0.3%) 1/1(100%) 1/322(0.3%) 1/1(100%)
Bombardiers combo Bombardiers combo 1/322(0.3%) 1/1(100%) 1/322(0.3%) 1/1(100%)
Mystic Forge combo (n :301) Mystic Forge Combo Mystic Forge Combo 198/301(65.8%) 198/198(100%) 198/301(65.8%) 198/198(100%)
Mystic Forge combo Unknown 10/301(3.3%) 10/10(100%) 10/301(3.3%) 10/62(16.1%)
Post Post 73/301(24.3%) 73/73(100%) 73/301(24.3%) 73/73(100%)
Other Patchwork Other Patchwork 7/301(2.3%) 7/35(20%) 7/301(2.3%) 7/35(20%)
Bomberman Bomberman 5/301(1.7%) 5/6(83.3%) 5/301(1.7%) 5/6(83.3%)
Mono Black Helm Combo Mono Black Helm Combo 6/301(2%) 6/7(85.7%) 6/301(2%) 6/7(85.7%)
MUD MUD 1/301(0.3%) 1/1(100%) 1/301(0.3%) 1/1(100%)
Creative combo Creative combo 1/301(0.3%) 1/18(5.6%) 1/301(0.3%) 1/18(5.6%)
Reanimator (n :271) Doomsday Doomsday 140/271(51.7%) 140/140(100%) 140/271(51.7%) 140/140(100%)
Sultai Beanstalk Sultai Beanstalk 130/271(48%) 130/130(100%) 130/271(48%) 130/130(100%)
Thought Lash combo Thought Lash combo 1/271(0.4%) 1/6(16.7%) 1/271(0.4%) 1/6(16.7%)
D & T (n :187) Death & Taxes Death & Taxes 164/187(87.7%) 164/164(100%) 164/187(87.7%) 164/164(100%)
Mono White Aggro Mono White Aggro 1/187(0.5%) 1/1(100%) 1/187(0.5%) 1/1(100%)
Orzhov Midrange Orzhov Midrange 6/187(3.2%) 6/7(85.7%) 6/187(3.2%) 6/7(85.7%)
D & T Unknown 4/187(2.1%) 4/4(100%) 4/187(2.1%) 4/62(6.5%)
Orzhov Aggro Orzhov Aggro 1/187(0.5%) 1/9(11.1%) 1/187(0.5%) 1/9(11.1%)
Boros Aggro Boros Aggro 10/187(5.3%) 10/30(33.3%) 10/187(5.3%) 10/30(33.3%)
Mardu Vial Mardu Vial 1/187(0.5%) 1/1(100%) 1/187(0.5%) 1/1(100%)
Lands (n :169) Lands Lands 168/169(99.4%) 168/169(99.4%) 167/169(98.8%) 167/167(100%)
Lands Unknown 168/169(99.4%) 168/169(99.4%) 1/169(0.6%) 1/62(1.6%)
Painter : Blue Painter (n :142) Blue Painter Blue Painter 84/142(59.2%) 84/84(100%) 84/142(59.2%) 84/84(100%)
8-cast 8-cast 37/142(26.1%) 37/37(100%) 37/142(26.1%) 37/37(100%)
Patchwork Synthesizer Patchwork Synthesizer 1/142(0.7%) 1/1(100%) 1/142(0.7%) 1/1(100%)
Other Patchwork Other Patchwork 18/142(12.7%) 18/35(51.4%) 18/142(12.7%) 18/35(51.4%)
Painter : Blue Painter Unknown 2/142(1.4%) 2/2(100%) 2/142(1.4%) 2/62(3.2%)
Zenith : Cradle Control (n :128) Cradle Control Cradle Control 110/128(85.9%) 110/110(100%) 110/128(85.9%) 110/110(100%)
Maverick Maverick 7/128(5.5%) 7/21(33.3%) 7/128(5.5%) 7/21(33.3%)
Depths Depths 6/128(4.7%) 6/10(60%) 6/128(4.7%) 6/10(60%)
Selesnya Zenith Selesnya Zenith 1/128(0.8%) 1/3(33.3%) 1/128(0.8%) 1/3(33.3%)
Golgari Zenith Golgari Zenith 1/128(0.8%) 1/1(100%) 1/128(0.8%) 1/1(100%)
Jund Zenith Jund Zenith 2/128(1.6%) 2/2(100%) 2/128(1.6%) 2/2(100%)
Abzan Zenith Abzan Zenith 1/128(0.8%) 1/1(100%) 1/128(0.8%) 1/1(100%)
Painter (n :121) Painter Painter 121/121(100%) 121/121(100%) 118/121(97.5%) 118/118(100%)
Painter Unknown 121/121(100%) 121/121(100%) 3/121(2.5%) 3/62(4.8%)
Cephalid breakfast (n :113) Nadu Nadu 111/113(98.2%) 111/111(100%) 111/113(98.2%) 111/111(100%)
Depths Depths 2/113(1.8%) 2/10(20%) 2/113(1.8%) 2/10(20%)
TES (n :90) Misfortune Misfortune 1/90(1.1%) 1/3(33.3%) 1/90(1.1%) 1/3(33.3%)
TES TES 33/90(36.7%) 33/33(100%) 33/90(36.7%) 33/33(100%)
Black Saga Storm Black Saga Storm 36/90(40%) 36/38(94.7%) 36/90(40%) 36/38(94.7%)
Song of Creation Song of Creation 1/90(1.1%) 1/1(100%) 1/90(1.1%) 1/1(100%)
Charbelcher Charbelcher 5/90(5.6%) 5/7(71.4%) 5/90(5.6%) 5/7(71.4%)
Echo Bowmasters Black Saga Storm Echo Bowmasters Black Saga Storm 13/90(14.4%) 13/13(100%) 13/90(14.4%) 13/13(100%)
Ad Nauseam Tendrils Ad Nauseam Tendrils 1/90(1.1%) 1/18(5.6%) 1/90(1.1%) 1/18(5.6%)
Depths : Selesnya Depths (n :69) Selesnya Depths Selesnya Depths 53/69(76.8%) 53/53(100%) 53/69(76.8%) 53/53(100%)
Maverick Maverick 14/69(20.3%) 14/21(66.7%) 14/69(20.3%) 14/21(66.7%)
Depths Depths 2/69(2.9%) 2/10(20%) 2/69(2.9%) 2/10(20%)
Goblins (n :47) Goblins Goblins 47/47(100%) 47/47(100%) 47/47(100%) 47/47(100%)
Eldrazi (n :46) Eldrazi Eldrazi 46/46(100%) 46/46(100%) 46/46(100%) 46/46(100%)
Nadu : Nadu Elves (n :36) Nadu Elves Nadu Elves 33/36(91.7%) 33/33(100%) 33/36(91.7%) 33/33(100%)
Elves Elves 3/36(8.3%) 3/4(75%) 3/36(8.3%) 3/4(75%)
Boros Aggro (n :33) Mardu Aggro Mardu Aggro 13/33(39.4%) 13/15(86.7%) 13/33(39.4%) 13/15(86.7%)
Boros Aggro Boros Aggro 20/33(60.6%) 20/30(66.7%) 20/33(60.6%) 20/30(66.7%)
Stoneblade (n :27) Narset control Narset control 25/27(92.6%) 25/25(100%) 25/27(92.6%) 25/25(100%)
Jeskai Aggro Jeskai Aggro 2/27(7.4%) 2/14(14.3%) 2/27(7.4%) 2/14(14.3%)
infect (n :25) Bant Infect Bant Infect 8/25(32%) 8/8(100%) 8/25(32%) 8/8(100%)
Simic Infect Simic Infect 17/25(68%) 17/17(100%) 17/25(68%) 17/17(100%)
Depths : Turbo Depths (n :25) Turbo Depths Turbo Depths 25/25(100%) 25/25(100%) 25/25(100%) 25/25(100%)
Unknown (n :23) Unknown Unknown 15/23(65.2%) 15/23(65.2%) 15/23(65.2%) 15/62(24.2%)
ANT (n :23) Ad Nauseam Tendrils Ad Nauseam Tendrils 17/23(73.9%) 17/18(94.4%) 17/23(73.9%) 17/18(94.4%)
Wither Bloom Wither Bloom 6/23(26.1%) 6/9(66.7%) 6/23(26.1%) 6/9(66.7%)
Necro Storm (n :22) Necro Storm Necro Storm 19/22(86.4%) 19/19(100%) 18/22(81.8%) 18/18(100%)
Necro Storm Unknown 19/22(86.4%) 19/19(100%) 1/22(4.5%) 1/62(1.6%)
Black Saga Storm Black Saga Storm 2/22(9.1%) 2/38(5.3%) 2/22(9.1%) 2/38(5.3%)
Charbelcher Charbelcher 1/22(4.5%) 1/7(14.3%) 1/22(4.5%) 1/7(14.3%)
Mono Black Midrange (n :22) Mono Black Midrange Mono Black Midrange 22/22(100%) 22/57(38.6%) 22/22(100%) 22/57(38.6%)
Nic Fit (n :15) WUBG Nic Fit WUBG Nic Fit 5/15(33.3%) 5/5(100%) 5/15(33.3%) 5/5(100%)
Jund Nic Fit Jund Nic Fit 4/15(26.7%) 4/4(100%) 4/15(26.7%) 4/4(100%)
WBRG Nic Fit WBRG Nic Fit 1/15(6.7%) 1/1(100%) 1/15(6.7%) 1/1(100%)
Golgari Nic Fit Golgari Nic Fit 1/15(6.7%) 1/1(100%) 1/15(6.7%) 1/1(100%)
Abzan Nic Fit Abzan Nic Fit 3/15(20%) 3/3(100%) 3/15(20%) 3/3(100%)
Gruul Nic Fit Gruul Nic Fit 1/15(6.7%) 1/1(100%) 1/15(6.7%) 1/1(100%)
Selesnya Aggro (n :12) Selesnya Aggro Selesnya Aggro 8/12(66.7%) 8/8(100%) 8/12(66.7%) 8/8(100%)
Gruul Zenith Gruul Zenith 1/12(8.3%) 1/1(100%) 1/12(8.3%) 1/1(100%)
Bant Zenith Bant Zenith 1/12(8.3%) 1/1(100%) 1/12(8.3%) 1/1(100%)
Selesnya Zenith Selesnya Zenith 2/12(16.7%) 2/3(66.7%) 2/12(16.7%) 2/3(66.7%)
Ruby Storm : The Epic Gamble (n :10) The Epic Gamble The Epic Gamble 10/10(100%) 10/10(100%) 10/10(100%) 10/10(100%)
Ruby Storm (n :9) Ruby Storm Ruby Storm 9/9(100%) 9/10(90%) 9/9(100%) 9/10(90%)
Zenith : Yorion Zenith (n :8) Yorion Zenith Yorion Zenith 8/8(100%) 8/8(100%) 8/8(100%) 8/8(100%)
Sliver (n :7) Bant Sliver Bant Sliver 3/7(42.9%) 3/3(100%) 3/7(42.9%) 3/3(100%)
WUBG Sliver WUBG Sliver 1/7(14.3%) 1/1(100%) 1/7(14.3%) 1/1(100%)
5 Color Sliver 5 Color Sliver 1/7(14.3%) 1/1(100%) 1/7(14.3%) 1/1(100%)
Bant Midrange Bant Midrange 2/7(28.6%) 2/3(66.7%) 2/7(28.6%) 2/3(66.7%)
Mardu Aggro (n :7) Orzhov Aggro Orzhov Aggro 7/7(100%) 7/9(77.8%) 7/7(100%) 7/9(77.8%)
Merfolk (n :5) Merfolk Merfolk 5/5(100%) 5/8(62.5%) 5/5(100%) 5/8(62.5%)
WBRG Zoo (n :5) Gruul Zoo Gruul Zoo 2/5(40%) 2/2(100%) 2/5(40%) 2/2(100%)
WBRG Zoo WBRG Zoo 3/5(60%) 3/3(100%) 3/5(60%) 3/3(100%)
Smallpox (n :4) Smallpox Smallpox 4/4(100%) 4/5(80%) 4/4(100%) 4/5(80%)
Azorius Aggro (n :4) Azorius Aggro Azorius Aggro 4/4(100%) 4/5(80%) 4/4(100%) 4/5(80%)
Human (n :4) Mono White Human Mono White Human 1/4(25%) 1/1(100%) 1/4(25%) 1/1(100%)
Orzhov Human Orzhov Human 2/4(50%) 2/2(100%) 2/4(50%) 2/2(100%)
5 Color Human 5 Color Human 1/4(25%) 1/1(100%) 1/4(25%) 1/1(100%)
Food Chain (n :4) Simic Midrange Simic Midrange 1/4(25%) 1/1(100%) 1/4(25%) 1/1(100%)
Thought Lash combo Thought Lash combo 3/4(75%) 3/6(50%) 3/4(75%) 3/6(50%)
8-cast (n :4) Other Patchwork Other Patchwork 4/4(100%) 4/35(11.4%) 4/4(100%) 4/35(11.4%)
Cascade Rhinos (n :3) Temur Cascade Rhinos Temur Cascade Rhinos 3/3(100%) 3/3(100%) 3/3(100%) 3/3(100%)
Mind ’s Desire : High Tide (n :3) High Tide High Tide 3/3(100%) 3/3(100%) 3/3(100%) 3/3(100%)
Madness (n :3) Madness Madness 3/3(100%) 3/5(60%) 3/3(100%) 3/5(60%)
dredge (n :3) Dredge Dredge 3/3(100%) 3/19(15.8%) 3/3(100%) 3/19(15.8%)
Scam (n :3) Golgari Scam Golgari Scam 1/3(33.3%) 1/1(100%) 1/3(33.3%) 1/1(100%)
Jund Scam Jund Scam 1/3(33.3%) 1/3(33.3%) 1/3(33.3%) 1/3(33.3%)
Jund Jund 1/3(33.3%) 1/1(100%) 1/3(33.3%) 1/1(100%)
Hogaak (n :2) Jund Hogaak Jund Hogaak 1/2(50%) 1/2(50%) 1/2(50%) 1/2(50%)
Sultai Hogaak Sultai Hogaak 1/2(50%) 1/1(100%) 1/2(50%) 1/1(100%)
Enchantress (n :2) Selesnya Enchantress Selesnya Enchantress 2/2(100%) 2/2(100%) 2/2(100%) 2/2(100%)
Misfortune (n :2) Misfortune Misfortune 2/2(100%) 2/3(66.7%) 2/2(100%) 2/3(66.7%)
Depths : Mono B Depths (n :1) Mono B Depths Mono B Depths 1/1(100%) 1/1(100%) 1/1(100%) 1/1(100%)
Elves (n :1) Elves Elves 1/1(100%) 1/4(25%) 1/1(100%) 1/4(25%)
Charbelcher (n :1) Charbelcher Charbelcher 1/1(100%) 1/7(14.3%) 1/1(100%) 1/7(14.3%)
Arclight phoenix (n :1) Rakdos Arclight Phoenix Rakdos Arclight Phoenix 1/1(100%) 1/1(100%) 1/1(100%) 1/1(100%)
Bomberman (n :1) Bomberman Bomberman 1/1(100%) 1/6(16.7%) 1/1(100%) 1/6(16.7%)
Narset ctrl (n :1) Jeskai Midrange Jeskai Midrange 1/1(100%) 1/57(1.8%) 1/1(100%) 1/57(1.8%)
Invalid deck (< 60 cards) Tabler summarise how the archetypes are aggregated
Parser
Custom
Reference
Custom Reference Percent Archetype Percent Sub Archetype Percent Archetype Percent Sub Archetype
Delver (n :2142) Jeskai Midrange Jeskai Midrange 1/2142(0%) 1/57(1.8%) 1/2142(0%) 1/57(1.8%)
Lands (n :169) Lands Unknown 1/169(0.6%) 1/169(0.6%) 1/169(0.6%) 1/62(1.6%)
Unknown (n :23) Unknown Unknown 8/23(34.8%) 8/23(34.8%) 8/23(34.8%) 8/62(12.9%)
Dimir Midrange (n :1) Dimir Midrange Dimir Midrange 1/1(100%) 1/24(4.2%) 1/1(100%) 1/24(4.2%)
Jund Midrange (n :1) Jund Midrange Jund Midrange 1/1(100%) 1/1(100%) 1/1(100%) 1/1(100%)

4.2 Proximity aggregation

If the median jaccard distance between 2 archetypes is smaller than the 3 quartiles of the internal distance within the archetype, these 2 archetypes will be grouped together. The table below shows the grouped archetypes:

Proximity aggregation
Total archetype name Base archetype name group
8-cast Other Patchwork
ANT Wither Bloom
Boros Aggro Mardu Aggro
Cephalid breakfast Nadu
Control Beanstalk : White Beanstalk
Control Cephalid breakfast
Control Ninjas
Control Stiflenought
Control Stoneblade
Delver Control
Delver Delver : Temur Delver
Delver Reanimator
Depths : Selesnya Depths Zenith : Maverick
Food Chain Simic Midrange
Food Chain Thought Lash combo
Mardu Aggro Orzhov Aggro
Mystic Forge combo Post
Narset ctrl Jeskai Midrange
Painter : Blue Painter 8-cast
Prison Initiative
Reanimator Beanstalk
Reanimator Doomsday
Scam Jund
Selesnya Aggro Zenith
Show And Tell Food Chain
Sliver Bant Midrange
Stoneblade Jeskai Aggro
Stoneblade Narset ctrl
TES Black Saga Storm
WBRG Zoo Gruul Zoo