THE META REPORT NAME IS TOO LONG, TOO DAMN LONG (n°58)

Patch 3.7 - Week 2 - 4

Valentino (Legna) Vazzoler
05-29-2022

Data

Number of Master Players: 7016

Number of HighDiamond 1 Players: 11586

Number of (Ranked) Master matches analysed 93808 or 187616 games.

Number of (Ranked) ~HighDiamond matches analysed 249978 or 499956 games.

Last Update: 2022-05-29 10:45

Games

Patch 3.7 - Week 2 - by the Numbers1
Characteristic3 Master2 ~HighDiamond2
N = 290,9364 N = 93,8084 N = 474,9974 N = 249,9784
Status
Other 170,092 (58%) 195,102 (41%)
Ranked 93,808 (32%) 249,978 (53%)
Friendly 27,036 (9.3%) 29,917 (6.3%)
Server
americas 116,364 (40%) 34,742 (37%) 183,512 (39%) 93,435 (37%)
apac 84,832 (29%) 28,239 (30%) 137,030 (29%) 73,066 (29%)
europe 89,740 (31%) 30,827 (33%) 154,455 (33%) 83,477 (33%)
1 Max datetime recovered: 2022-05-25 15:59:54 UTC from 2022-05-18 18:00:00 to 2022-05-25 18:00:00 UTC
2 EU Master 2303 NA Master 2678 APAC Master 2035 warning: the leaderboard is bugged and doesn't provide the complete master list
3 Metadata from Friendly Matches (that aren't Bo3) is not recoverable, the value may not be perfect since I lack the starting time of the game. The amount of Games to still scrap is also an estimation based on the 'position' of the game
4 n(%) took from the number of matches. When the data is analysed the size is double since we account each different player

Account

Shard/Server Total
Americas Apac Europe
Player Rank
Master 2,678 (14%) 2,035 (11%) 2,303 (12%) 7,016 (38%)
Diamond 4,360 (23%) 3,424 (18%) 3,802 (20%) 11,586 (62%)
Total 7,038 (38%) 5,459 (29%) 6,105 (33%) 18,602 (100%)

Seasonal Tournament Top32 Results

Before providing the usual description of last week high ranked games here are the results from the top32

Note: As not all decks has being played I can’t provide a complete coverage of the lineUps but 206/288 decks overall.

Games Results

Top32 Results
Game results from the top32 players of the 'A Curious Journey' Seasonal Tournament
WonMatches americas apac europe
Player result Player result Player result
5 Prodigy#1097 pinpingho#GHYFY Redwinter97#EUW
4 KraftyOne#NA1 Aurora#4444 o5wtf#2438
3 AK Tomaszamo#LAS Cuốc Đẹp Chai#1604 Gouda ddy#EUW
3 HDR Ez2Win#HDR GM Ame#9999 LFR Swatblues#2002
2 ABG Rogio#GAMER Merua jp#5988 BranchOfTurtwigs#3030
2 infinipatrons#NA1 RGE Oneeyed Dog#VNM RossPierrDol#4149
2 Kevor24#NA1 VK 영처리#000 Shunpo#14587
2 SantaTCG#7777 我们的未来很光明#666 Sir Donald#2525
1 DrChekhov42#NA1 BLCK BanditKeith#3349 Broken Ball#EUW
1 Eom#NA1 BRUCE1915#2604 Chuck#7544
1 MDM mistics#LAS FlyingFish#0000 jirkau#EUNE
1 RealPrismsword#NA1 HC IrisS#8325 MattyMon#Rat
1 Rollz#9543 MrOwl#8389 Meliador0#EUW
1 Scathus#NA1 Soraharu#6814 Oslow Cosimo#4504
1 Xeloo#LAS yuuki#1352 piorro#EUNE
1 Yrebellion#NA1 동그란펭귄#4869 SmoothSwoleoist#EUW
0 Aikado#Awoo AFTV깜동#0823 BaJAtak#EUNE
0 Beastllama#2545 AFTV페타#1023 den#R8015
0 ChronoMirage#NA1 AG Gragassassin#5084 friendlynihilist#4033
0 Findla Mor#5413 AG KoreanfishTW#9318 gutshot GDB#EUW
0 FNX Wasrusso#2020 Artefy#RTFy GZneverwalkalone#EUNE
0 Montary#BR1 BLCK HyeJin#TYRNT InBrenpunkt#uwu
0 Morpice121#OCE END G#GAME Kinecremeus#EUW
0 NNT Maitri#NNT NBS Kinhts#5850 Kuraschi#EUW
0 Nocturex#NA1 OPM Hammerhead#0000 LZorni#EUW
0 ptash#NA1 QuấtNoobs#1997 MDS#DENIZ
0 SnipeCrossGG#moc Seahiter#G3m Protoliskk#1313
0 Spidz#moc yata64#JP1 ragnarosich#2165
0 Trivo#BR1 ガッチャ#3836 TomasOW#8150
0 waitimplaying#NA1 バターー#JP1 Tos#009
0 XxWhatAmIxX#NA1 桃桃和你拼了#000 WW Dyna#DOOM
0 Zorig Dungu#NA1 浦部の本質#7841 WW Hash#OVI
Metadata of games collected with RiotGames API

LineUps

Top32 Players' Deckcodes

A Curious Journey Playoff - Top32 LineUps

As not all decks has being played I can't provide a complete coverage of the lineUps but 206/288 decks overall. Source: Metadata of games collected with RiotGames API

Regions

Play Rate

Plot

The Gini Index is a measure of heterogeneity so, in this case and in simpler terms, how much the play rates are similar. The Index goes (when normalized like here) \(\in [0, 1]\) and it’s equal to 1 when there’s a single value with 100% play rate or 0 when all play rates are equal. Of course a Gini Index of 1 needs to be avoided but it’s not like the aim should be 0. As said, it’s just to add some additional tools.

Table

Region Play Rate
Relative Frequencies by Inclusion Rate of a Region
Region Freq Shard
America Apac Europe
Shurima 14.64% 14.58% 15.26% 14.15%
Piltover 14.01% 14.03% 13.68% 14.31%
ShadowIsles 12.10% 11.81% 12.03% 12.48%
BandleCity 10.15% 9.68% 11.57% 9.40%
Noxus 9.81% 9.34% 8.85% 11.21%
MtTargon 8.99% 9.74% 8.98% 8.17%
Freljord 8.59% 8.58% 7.84% 9.29%
Demacia 8.34% 8.55% 8.15% 8.27%
Bilgewater 7.37% 7.59% 6.97% 7.49%
Ionia 5.99% 6.11% 6.68% 5.24%
Patch 3.7 - Week 2 Ranked games from 2022-05-18 18:00:00 UTC to 2022-05-25 18:00:00 UTC Source: Metadata of games collected with RiotGames API Last Update: 2022-05-29 08:34:29.95114

Play Rate by number of Cards

Plot

Table

Region Play Rate
Relative Frequencies by number of times a Card within a Region is included in a Deck
Region Freq Shard
America Apac Europe
Shurima 17.85% 17.71% 18.61% 17.33%
Piltover 14.66% 14.31% 14.11% 15.56%
ShadowIsles 10.44% 10.29% 10.28% 10.76%
BandleCity 9.95% 9.43% 11.60% 9.03%
Freljord 8.87% 8.80% 8.00% 9.75%
Demacia 8.65% 8.79% 8.51% 8.63%
MtTargon 8.53% 9.54% 8.23% 7.66%
Noxus 8.48% 8.21% 7.82% 9.37%
Bilgewater 6.46% 6.72% 5.81% 6.75%
Ionia 6.11% 6.21% 7.03% 5.16%
Patch 3.7 - Week 2 Ranked games from 2022-05-18 18:00:00 UTC to 2022-05-25 18:00:00 UTC Source: Metadata of games collected with RiotGames API Last Update: 2022-05-29 08:34:29.95114

Champions Combinations

Play Rates

Plot

from Master

Data from Master Only. Source: Metadata of games collected with RiotGames API. Last Update: 2022-05-29 08:49:28.74284 FALSE

from ~HighDiamond

Data from ~HighDiamond Only. Source: Metadata of games collected with RiotGames API Last Update: 2022-05-29 08:49:29.033134. FALSE

Day by Day

Highlighting the play-rates of most played [^at the moment of the last game] decks over time.

Master

HighDiamond

Win Rates

Meta Decks

Win rates of the most played combination of champions. Play Rate \(\geq 1\%\) in at least one of the servers.

Underdog

Top Win rates of the top10 best performing least played combination of champions. Play rate \(\in [0.1%, 1%)\) [^Min number of games 50, during the times a meta/ladder just changed]

Match Ups

Regarding MU, this is not the most accurate estimation you can get from my data. If you want a better picture of the current meta it would be better to look at the dedicated MU-page where I use all “Ranked” games with the current sets of buffs and nerfs. While one may object I don’t account for optimizations and differences in skills acquired during the weeks, the overall number of games / sample size makes them a better source of information. So, in case, please refer to the MU - page for a better “meta-investigation”.

Match-up Grid

The win rates on the grid are among the 10 most played champion combination.

The upper value is from all the Masters players, the bottom one only from HighDiamond.

MU with less than 30 games are not included.

Viego (SH/SI) Yuumi/Pantheon (DE/MT) Azir/Xerath Fizz/Aphelios (BC/MT) Ezreal/Caitlyn (NX/PZ) Taliyah/Ziggs Tryndamere/Trundle (FR/SI) Miss Fortune/Quinn Heimerdinger/Jayce (PZ/SI) Pyke/Rek'Sai
Viego (SH/SI)
NA
50.3%
49.1%
44.4%
44.4%
48.1%
49.1%
35.1%
37.4%
52.5%
50.8%
70.6%
71.7%
59.6%
51.9%
42.7%
44.2%
49.4%
48.4%
Yuumi/Pantheon (DE/MT)
49.7%
50.9%
NA
57.0%
59.7%
51.3%
57.3%
45.8%
43.2%
60.8%
56.5%
50.0%
45.8%
63.5%
64.7%
59.8%
53.7%
51.0%
55.4%
Azir/Xerath
55.6%
55.6%
43.0%
40.3%
NA
35.3%
41.1%
62.9%
64.2%
44.2%
44.2%
53.2%
50.3%
44.6%
39.5%
64.5%
62.8%
55.0%
51.5%
Fizz/Aphelios (BC/MT)
51.9%
50.9%
48.7%
42.7%
64.7%
58.9%
NA
50.2%
43.9%
56.8%
50.5%
58.7%
49.5%
34.5%
32.9%
40.7%
51.4%
57.0%
51.5%
Ezreal/Caitlyn (NX/PZ)
64.9%
62.6%
54.2%
56.8%
37.1%
35.8%
49.8%
56.1%
NA
35.4%
34.5%
20.1%
19.6%
64.6%
56.1%
32.0%
28.8%
60.0%
55.1%
Taliyah/Ziggs
47.5%
49.2%
39.2%
43.5%
55.8%
55.8%
43.2%
49.5%
64.6%
65.5%
NA
61.8%
56.0%
43.9%
44.7%
58.4%
57.2%
62.0%
54.5%
Tryndamere/Trundle (FR/SI)
29.4%
28.3%
50.0%
54.2%
46.8%
49.7%
41.3%
50.5%
79.9%
80.4%
38.2%
44.0%
NA
48.9%
45.7%
53.1%
59.5%
46.7%
42.6%
Miss Fortune/Quinn
40.4%
48.1%
36.5%
35.3%
55.4%
60.5%
65.5%
67.1%
35.4%
43.9%
56.1%
55.3%
51.1%
54.3%
NA
43.2%
47.9%
51.3%
56.0%
Heimerdinger/Jayce (PZ/SI)
57.3%
55.8%
40.2%
46.3%
35.5%
37.2%
59.3%
48.6%
68.0%
71.2%
41.6%
42.8%
46.9%
40.5%
56.8%
52.1%
NA
54.8%
47.8%
Pyke/Rek'Sai
50.6%
51.6%
49.0%
44.6%
45.0%
48.5%
43.0%
48.5%
40.0%
44.9%
38.0%
45.5%
53.3%
57.4%
48.7%
44.0%
45.2%
52.2%
NA
MatchUp values from Ranked games with Master (upper) and ~HighDiamond (bottom) Ranked players. Decks and order of the Archetypes based on the playrate over the last 7 days. Source: Metadata of games collected with RiotGames API

LoR-Meta Index (LMI)

Note: Games from Master Rank only

Tier0 with LMI \(\geq\) 97.5 Tier1 with LMI \(\in [85, 97.5)\) Tier2 with LMI \(\in [60, 85)\) Tier3- with LMI \(<\) 60

The LMI 2 3 is an Index I developed to measure the performance of decks in the metagame. For those who are familiar with basic statistical concept I wrote a document to explain the theory behind it: , it’s very similar to vicioussyndicate (vS) Meta Score from their data reaper report. The score of each deck is not just their “strength”, it takes in consideration both play rates and win rates that’s why I prefer to say it measure the “performance”. The values range from 0 to 100 and the higher the value, the higher is the performance.

Win Marathons Leaders

Top3 Players (or more in case of ties) from each server that had the highest amount of consecutive wins with the same archetype. The provided deckcode is the one played in the last win found.

Top3 Biggest Win Streak by Server
Cumulative wins with the same Archetype
Player Result Archetype Deck Code
Americas
Snugguls 15 Zoe/Aphelios (MT/SI)
Zalgown 15 Yuumi/Pantheon (DE/MT)
HOB 14 Viego (SH/SI)
Apac
kuro 21 Ezreal/Kennen (IO/PZ)
Ledah 16 Ezreal/Caitlyn (NX/PZ)
GM Ame 15 Miss Fortune/Quinn
Europe
Shunpo 16 Fizz/Aphelios (BC/MT)
斗鱼9382777 14 Azir/Xerath
斗鱼9382777 14 Azir/Xerath
Games from all Master are collected each hour adding up to the last 20 matches. Unlikely but possible to miss games in case of high frequency games. Metadata of games collected with RiotGames API

Cards Presence

Play Rate

Top 3 Play Rates by Region

Forgotten Cards

Cards that couldn’t find place even in a meme deck.

Not-Standard Archetype Names

Names and rules for the “non standard archetypes” which are not defined by Champion+Regions

Archetype ~Fix
Deck Source
ASZ - Sivir Ionia Akshan/Sivir (IO/SH) or Sivir/Zed or Akshan/Sivir/Zed
BandleTree 3 copies of BandleTree
Dragons (DE/MT) (DE/MT) Decks with *at least* Shyvana and ASol
Marauder (NX/FR) Two to Three copies of Both Legion Marauder and Strength in Numbers
Mistwraith Allegiance Three copies of both Mistwraith and Wraithcaller
Pirates (BW/NX) BW/NX deck with Miss Fortune and any of Twisted Fate, Gangplank
RubinBait - <Champ> Burn Deck using <Champ> to bait mulligan
Sentinel Control PnZ/SI deck any combination of Elise/Jayce/Vi
Kindred Control PnZ/SI deck any combination of Elise/Jayce/Vi AND Kindred
SunDisc Mono Shurima with 1+ Sun Disc - without Rek'Sai
Tri-Beam (NX/PZ) (NX/PZ) deck with at least 2 copies of Tri-Beam
Viktor - Shellfolk Viktor + at least one of Curious Shellfolk/Mirror Mage + at least 2 Trinket Trade

Legal bla bla

This content was created under Riot Games ‘Legal Jibber Jabber’ policy using assets owned by Riot Games. Riot Games does not endorse or sponsor this project.


  1. HighDiamond are defined as “players who played against Master player in a Ranked games but are not Master themselves”↩︎

  2. LMI - Early Theory↩︎

  3. LMI - Adding a Ban Index↩︎