THE META REPORT NAME IS TOO LONG, TOO DAMN LONG (n°30)

Patch 2.18 - Week 2 - Still in a meta where BandleCity is like parsley

Valentino (Legna) Vazzoler
11-03-2021

Data

Number of (Ranked) matches analysed 150435 or 300870 games.

Last Update: 2021-11-03 19:50

Patch 2.18 - Week 2 - by the Numbers1
Characteristic3 Current Master2 Last-Season Master2
N = 20,7094 N = 15,4734 N = 211,2464 N = 150,4354
Status
Ranked 15,473 (75%) 150,435 (71%)
Other 4,977 (24%) 57,778 (27%)
Friendly 259 (1.3%) 3,033 (1.4%)
Server
americas 8,253 (40%) 6,060 (39%) 98,039 (46%) 67,450 (45%)
asia 4,273 (21%) 3,039 (20%) 32,196 (15%) 22,622 (15%)
europe 8,183 (40%) 6,374 (41%) 81,011 (38%) 60,363 (40%)

1 Max datetime recovered: 2021-11-03 18:10:44 UTC from 2021-10-27 21:00:00 to 2021-11-03 21:00:00 UTC

2 EU Master playerDecks in the ladder 104 while number of possible Master playerDecks recovered is 104, Number of Last-Season EU Master used 1509 NA Master playerDecks in the ladder 115 while number of possible Master playerDecks recovered is 115, Number of Last-Season NA Master used 1733 ASIA Master playerDecks in the ladder 61 while number of possible Master playerDecks recovered is 61, Number of Last-Season ASIA Master used 600

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

Regions

Data only with Last-Season Masters

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 Asia Europe
BandleCity 16.78% 15.86% 18.13% 17.31%
Noxus 13.37% 11.90% 15.80% 14.11%
Shurima 11.79% 11.83% 11.85% 11.73%
Bilgewater 11.59% 12.30% 9.50% 11.58%
Demacia 11.11% 11.88% 9.66% 10.79%
Piltover 9.73% 9.85% 10.40% 9.35%
Ionia 7.59% 8.12% 6.85% 7.28%
Freljord 7.11% 6.77% 5.96% 7.92%
ShadowIsles 5.94% 5.91% 7.18% 5.52%
MtTargon 4.98% 5.59% 4.68% 4.42%
Patch 2.18 - Week 2 Ranked games from 2021-10-27 21:00:00 UTC to 2021-11-03 21:00:00 UTC Metadata of games collected with RiotGames API

Play Rate by number of Cards

Note: currently all dual region cards have only their main region as possible value assigned. The same problem also apply to the card’s inclusion rates.

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 Asia Europe
BandleCity 19.45% 18.25% 21.36% 20.08%
Shurima 13.31% 13.42% 13.16% 13.26%
Bilgewater 12.42% 12.97% 10.28% 12.60%
Noxus 11.03% 9.95% 12.79% 11.57%
Demacia 10.70% 11.47% 9.15% 10.42%
PnZ 10.09% 10.09% 10.57% 9.90%
Ionia 7.52% 8.07% 6.86% 7.15%
Freljord 5.52% 5.28% 5.19% 5.90%
ShadowIsles 5.27% 5.31% 6.19% 4.89%
MtTargon 4.69% 5.20% 4.46% 4.21%
Patch 2.18 - Week 2 Ranked games from 2021-10-27 21:00:00 UTC to 2021-11-03 21:00:00 UTC Metadata of games collected with RiotGames API

Champions Combinations

Archetype ~Fix
Deck Source
ASZ - Sivir Ionia Akshan/Sivir (IO/SH) or Sivir/Zed or Akshan/Sivir/Zed
RubinBait - <Champ> Burn Deck using <Champ> to bait mulligan
Dragons (DE/MT) (DE/MT) Decks with *at least* Shyvana and ASol

Play Rates

Plot

from Last-Season Master

Data from Last-Season Master Only. Source: Source: Metadata of games collected with RiotGames API FALSE

from Current Master

Data from Current Master Only. Source: Source: Metadata of games collected with RiotGames API FALSE

Day by Day

Highlisting the top10 most played decks (at the moment of the last game played).

Win Rates

Tie games are excluded / only games from ‘Old’ Master

Meta Decks

Win rates of the most played combination of champions. Play Rate >= 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%)1

Match Ups

Note:: only games from Last-Season Master

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 15 most played champion combination. The upper value is from all the Last-Season Masters, the bottom one only from the current Current Masters. MU with less than 30 games are not included.

Pyke/Rek'Sai Poppy/Zed (DE/IO) Draven/Sion (NX/PZ) Senna/Veigar (BC/SI) Poppy/Ziggs (BC/NX) Gangplank/Sejuani Fizz/Poppy (BC/NX) Gangplank/Twisted Fate (BC/BW) Akshan/Sivir (DE/SH) Draven/Viktor Swain/Teemo (BC/NX) Dragons (DE/MT) Riven/Swain (BC/NX) Sejuani/Teemo (BC/FR) Miss Fortune/Poppy (BW/DE)
Pyke/Rek'Sai
NA
(NA)
40.1%
(39.2%)
33.9%
(28.5%)
50.4%
(48.6%)
39.7%
(50.5%)
45.0%
(39.4%)
44.0%
(39.2%)
42.9%
(34.0%)
47.6%
(47.7%)
50.5%
(54.9%)
49.9%
(45.8%)
72.1%
(NA)
53.5%
(NA)
38.9%
(27.9%)
51.8%
(60.3%)
Poppy/Zed (DE/IO)
59.9%
(60.8%)
NA
(NA)
47.7%
(46.3%)
66.5%
(50.5%)
47.6%
(41.6%)
57.4%
(54.7%)
56.6%
(56.7%)
45.1%
(41.7%)
53.6%
(51.5%)
55.8%
(50.0%)
40.2%
(41.5%)
55.9%
(NA)
42.9%
(51.2%)
59.9%
(NA)
42.5%
(36.2%)
Draven/Sion (NX/PZ)
66.1%
(71.5%)
52.3%
(53.7%)
NA
(NA)
39.7%
(38.8%)
64.8%
(56.1%)
47.0%
(52.9%)
58.9%
(60.2%)
43.3%
(40.6%)
67.8%
(67.1%)
53.4%
(57.8%)
51.9%
(53.7%)
68.3%
(NA)
60.8%
(54.8%)
39.6%
(21.9%)
63.8%
(63.0%)
Senna/Veigar (BC/SI)
49.6%
(51.4%)
33.5%
(49.5%)
60.3%
(61.2%)
NA
(NA)
51.7%
(42.9%)
46.2%
(40.6%)
35.6%
(37.9%)
54.9%
(50.0%)
40.2%
(53.1%)
58.9%
(52.9%)
42.5%
(45.7%)
45.1%
(NA)
46.1%
(NA)
69.5%
(NA)
40.1%
(36.7%)
Poppy/Ziggs (BC/NX)
60.3%
(49.5%)
52.4%
(58.4%)
35.2%
(43.9%)
48.3%
(57.1%)
NA
(NA)
50.6%
(50.0%)
45.0%
(41.7%)
36.5%
(37.3%)
50.9%
(NA)
52.2%
(NA)
66.0%
(67.3%)
67.9%
(NA)
54.1%
(NA)
63.0%
(67.8%)
42.6%
(NA)
Gangplank/Sejuani
55.0%
(60.6%)
42.6%
(45.3%)
53.0%
(47.1%)
53.8%
(59.4%)
49.4%
(50.0%)
NA
(NA)
50.4%
(60.6%)
55.7%
(65.4%)
59.0%
(61.0%)
46.2%
(NA)
59.1%
(53.2%)
49.6%
(NA)
60.1%
(NA)
57.9%
(61.1%)
46.3%
(57.9%)
Fizz/Poppy (BC/NX)
56.0%
(60.8%)
43.4%
(43.3%)
41.1%
(39.8%)
64.4%
(62.1%)
55.0%
(58.3%)
49.6%
(39.4%)
NA
(NA)
31.6%
(29.3%)
43.5%
(42.6%)
35.0%
(NA)
42.8%
(45.0%)
61.9%
(NA)
43.0%
(NA)
58.3%
(NA)
51.6%
(NA)
Gangplank/Twisted Fate (BC/BW)
57.1%
(66.0%)
54.9%
(58.3%)
56.7%
(59.4%)
45.1%
(50.0%)
63.5%
(62.7%)
44.3%
(34.6%)
68.4%
(70.7%)
NA
(NA)
46.1%
(44.9%)
66.1%
(NA)
55.8%
(59.0%)
50.6%
(NA)
55.9%
(NA)
54.0%
(NA)
48.7%
(43.8%)
Akshan/Sivir (DE/SH)
52.4%
(52.3%)
46.4%
(48.5%)
32.2%
(32.9%)
59.8%
(46.9%)
49.1%
(NA)
41.0%
(39.0%)
56.5%
(57.4%)
53.9%
(55.1%)
NA
(NA)
50.9%
(NA)
50.0%
(63.4%)
69.4%
(NA)
51.1%
(NA)
45.0%
(NA)
45.1%
(NA)
Draven/Viktor
49.5%
(45.1%)
44.2%
(50.0%)
46.6%
(42.2%)
41.1%
(47.1%)
47.8%
(NA)
53.8%
(NA)
65.0%
(NA)
33.9%
(NA)
49.1%
(NA)
NA
(NA)
46.2%
(NA)
56.4%
(NA)
51.3%
(NA)
42.5%
(NA)
50.0%
(NA)
Swain/Teemo (BC/NX)
50.1%
(54.2%)
59.8%
(58.5%)
48.1%
(46.3%)
57.5%
(54.3%)
34.0%
(32.7%)
40.9%
(46.8%)
57.2%
(55.0%)
44.2%
(41.0%)
50.0%
(36.6%)
53.8%
(NA)
NA
(NA)
60.8%
(NA)
54.3%
(NA)
69.2%
(NA)
47.1%
(47.4%)
Dragons (DE/MT)
27.9%
(NA)
44.1%
(NA)
31.7%
(NA)
54.9%
(NA)
32.1%
(NA)
50.4%
(NA)
38.1%
(NA)
49.4%
(NA)
30.6%
(NA)
43.6%
(NA)
39.2%
(NA)
NA
(NA)
50.4%
(NA)
49.5%
(NA)
45.9%
(NA)
Riven/Swain (BC/NX)
46.5%
(NA)
57.1%
(48.8%)
39.2%
(45.2%)
53.9%
(NA)
45.9%
(NA)
39.9%
(NA)
57.0%
(NA)
44.1%
(NA)
48.9%
(NA)
48.7%
(NA)
45.7%
(NA)
49.6%
(NA)
NA
(NA)
60.2%
(NA)
59.5%
(NA)
Sejuani/Teemo (BC/FR)
61.1%
(72.1%)
40.1%
(NA)
60.4%
(78.1%)
30.5%
(NA)
37.0%
(32.2%)
42.1%
(38.9%)
41.7%
(NA)
46.0%
(NA)
55.0%
(NA)
57.5%
(NA)
30.8%
(NA)
50.5%
(NA)
39.8%
(NA)
NA
(NA)
34.9%
(NA)
Miss Fortune/Poppy (BW/DE)
48.2%
(39.7%)
57.5%
(63.8%)
36.2%
(37.0%)
59.9%
(63.3%)
57.4%
(NA)
53.7%
(42.1%)
48.4%
(NA)
51.3%
(56.2%)
54.9%
(NA)
50.0%
(NA)
52.9%
(52.6%)
54.1%
(NA)
40.5%
(NA)
65.1%
(NA)
NA
(NA)
The upper value is from Last-Season Masters while the bottom value is from New Masters. MU with less than 30 games are not included. Order of the Archetypes based on the playrate over the last 7 days from the last-update from Plat+ (change to Master once the ladder is more populated). Source: Metadata of games collected with RiotGames API

Match-up Table

Deck of the week

Aphelios/Lux

I was planning to use my favourite deck as I was in a hurry but then I found among the “Win Marathon Leaders” an Aphelios/Lux

Do I even have to say more? Always invest in meme

Deckcodes

How to read the table:
- Play rate: How often a card is included in this class of decks / the table is order by this column.
- 3/2/1 is the relative and absolute frequency of the number of copies in the decks that plays them
- Frequencies from 50% to 100% are colored from shades of green to white to identify more easily the highest values

LoR-Meta Index (LMI)

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.

Static version

Interactive Version

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
Gnomdeguerre 18 Fizz/Poppy (BC/NX)
Cristianovich 15 Draven/Sion (NX/PZ)
Coda 14 Poppy/Ziggs (BC/NX)
Kevor24 14 Lee Sin/Zoe
MeMaanhc 14 Pyke/Rek'Sai
MF YUP3G0 14 Draven/Sion (NX/PZ)
shirumero 14 Fizz/Poppy/Teemo (BC/NX)
WaitingForSoup 14 Fizz/Poppy (BC/NX)
Asia
Usamarer 17 Draven/Sion (NX/PZ)
ゆうぎ 14 Draven/Sion (NX/PZ)
아슬927 14 Poppy/Zed (DE/IO)
Phoenix 14 Trundle/Tryndamere (FR/SI)
Europe
Shunpo 15 Caitlyn/Ezreal (NX/PZ)
Barbirose 14 Swain/Teemo (BC/NX)
Oslow Cosimo 14 Poppy/Ziggs (BC/NX)
Painas 14 Draven/Sion (NX/PZ)
papertorp 14 Aphelios/Lux
Teddy314 14 Poppy/Taric (DE/MT)
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

It seems that not even Twin Disciple can beat Sharsight

Top 3 Play Rates by Region

Forgotten Cards

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

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. Min number of games 50, during the times a meta/ladder just changed.↩︎

  2. LMI - Early Theory↩︎

  3. LMI - Adding a Ban Index↩︎

© 2021 Vazzoler Valentino

LlorR Stats was created under Riot Games’ “Legal Jibber Jabber” policy using assets owned by Riot Games. Riot Games does not endorse or sponsor this project.