THE META REPORT NAME IS TOO LONG, TOO DAMN LONG (n°29)

Patch 2.18 - Week 1 - Shroud the meta in wings.

Author

Affiliation

Valentino (Legna) Vazzoler

 

Published

Oct. 26, 2021

DOI

Data

Number of (Ranked) matches analysed 160852 or 321704 games.

Last Update: 2021-10-27 20:27

Patch 2.18 - Week 1 - by the Numbers1
Characteristic3 Current Master2 Last-Season Master2
N = 5,0644 N = 4,2734 N = 224,4384 N = 160,8524
Status
Ranked 4,273 (84%) 160,852 (72%)
Other 762 (15%) 60,259 (27%)
Friendly 29 (0.6%) 3,327 (1.5%)
Server
americas 2,189 (43%) 1,769 (41%) 103,618 (46%) 71,572 (44%)
asia 925 (18%) 758 (18%) 35,711 (16%) 25,708 (16%)
europe 1,950 (39%) 1,746 (41%) 85,109 (38%) 63,572 (40%)

1 Max datetime recovered: 2021-10-27 17:12:28 UTC from 2021-10-20 21:00:00 to 2021-10-27 21:00:00 UTC

2 EU Master playerDecks in the ladder 32 while number of possible Master playerDecks recovered is 32, Number of Last-Season EU Master used 1509 NA Master playerDecks in the ladder 36 while number of possible Master playerDecks recovered is 36, Number of Last-Season NA Master used 1733 ASIA Master playerDecks in the ladder 18 while number of possible Master playerDecks recovered is 16, 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

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.

Region Play Rate
Relative Frequencies by Inclusion Rate of a Region
Region Freq Shard
America Asia Europe
BandleCity 15.56% 15.10% 16.49% 15.71%
Demacia 12.81% 13.07% 13.12% 12.40%
Noxus 12.31% 11.71% 14.14% 12.25%
Shurima 11.81% 12.02% 10.71% 12.01%
Bilgewater 10.72% 11.16% 9.30% 10.80%
MtTargon 9.63% 9.57% 10.00% 9.54%
Piltover 8.12% 8.38% 8.11% 7.84%
Freljord 7.52% 6.79% 6.93% 8.59%
ShadowIsles 6.06% 6.11% 6.38% 5.87%
Ionia 5.45% 6.10% 4.83% 4.98%
Patch 2.18 - Week 1 Ranked games from 2021-10-20 21:00:00 UTC to 2021-10-27 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.

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 19.17% 18.29% 20.52% 19.62%
Shurima 13.01% 13.42% 11.71% 13.08%
Demacia 13.00% 13.30% 13.52% 12.45%
Bilgewater 11.73% 11.56% 10.61% 12.38%
Noxus 9.31% 9.26% 10.96% 8.70%
MtTargon 8.48% 8.51% 8.47% 8.46%
PnZ 8.16% 8.45% 8.06% 7.87%
Freljord 6.32% 5.82% 5.84% 7.09%
Ionia 5.50% 6.07% 4.80% 5.14%
ShadowIsles 5.31% 5.31% 5.52% 5.21%
Patch 2.18 - Week 1 Ranked games from 2021-10-20 21:00:00 UTC to 2021-10-27 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

Champions
Play Rate
America
Asia
Europe
Pyke/Rek'Sai
10.6%
11.5%
9.7%
9.8%
Dragons (DE/MT)
8.7%
8.1%
10.9%
8.5%
Draven/Sion (NX/PZ)
5.0%
5.1%
8.0%
3.8%
Senna/Veigar (BC/SI)
4.9%
4.7%
6.5%
4.5%
Poppy/Ziggs (BC/NX)
4.9%
5.0%
3.4%
5.4%
Fizz/Poppy (BC/NX)
4.6%
4.0%
3.5%
5.6%
Gangplank/Sejuani
3.9%
3.0%
4.1%
4.8%
Poppy/Zed (DE/IO)
3.6%
4.0%
4.5%
2.8%
Gangplank/Twisted Fate (BC/BW)
2.3%
2.6%
1.6%
2.3%
Akshan/Sivir (DE/SH)
2.2%
2.3%
1.7%
2.5%
Lissandra/Taliyah
2.1%
1.6%
1.4%
2.9%
Lee Sin/Zoe
1.7%
2.1%
0.7%
1.7%
Poppy/Taric (DE/MT)
1.2%
1.2%
1.0%
1.4%
Lux/Poppy (BC/DE)
1.2%
1.0%
1.2%
1.5%
Caitlyn/Teemo (BC/PZ)
1.2%
1.0%
0.5%
1.6%
Fizz/Lulu/Poppy (BC/NX)
1.2%
0.5%
2.8%
1.3%
Ekko/Zilean
1.1%
1.2%
0.8%
1.1%
Ezreal/Vi (BC/PZ)
1.0%
0.9%
0.6%
1.2%
Thresh/Viego (IO/SI)
0.9%
1.2%
0.5%
0.8%
Riven/Swain (BC/NX)
0.9%
1.0%
2.1%
0.3%
1–20 of 2496 rows
...

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

Champions
Play Rate
America
Asia
Europe
Draven/Sion (NX/PZ)
12.1%
11.4%
18.6%
10.1%
Pyke/Rek'Sai
10.1%
11.0%
3.5%
12.0%
Gangplank/Twisted Fate (BC/BW)
7.0%
7.8%
5.5%
6.8%
Poppy/Zed (DE/IO)
5.8%
8.6%
7.1%
2.4%
Poppy/Ziggs (BC/NX)
4.2%
4.2%
3.8%
4.5%
Senna/Veigar (BC/SI)
3.9%
2.8%
8.2%
3.2%
Fizz/Poppy (BC/NX)
3.3%
2.6%
1.1%
5.0%
Riven/Swain (BC/NX)
3.3%
5.7%
4.0%
0.5%
Gangplank/Sejuani
3.1%
0.9%
1.5%
6.0%
Lee Sin/Zoe
3.0%
4.2%
0.5%
2.9%
Fizz/Lulu/Poppy (BC/NX)
2.7%
0.6%
6.2%
3.2%
Lissandra/Taliyah
2.5%
1.2%
0.7%
4.6%
Ekko/Zilean
2.3%
4.2%
0.9%
1.1%
Akshan/Sivir (DE/SH)
2.1%
2.0%
0.1%
3.0%
Dragons (DE/MT)
1.5%
0.9%
4.0%
1.1%
Renekton/Sivir (DE/SH)
1.5%
2.1%
0.0%
1.5%
Vi (BC/PZ)
1.4%
1.6%
0.3%
1.8%
Gangplank/Twisted Fate (BW/NX)
1.3%
0.1%
0.0%
3.0%
Fizz/Poppy/Teemo (BC/NX)
1.3%
0.0%
6.6%
0.2%
Draven/Viktor
1.1%
1.9%
0.0%
0.7%
1–20 of 280 rows
...

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

Win rates of the most played combination of champions. Play Rate >= 1% in at least one of the servers.

Champions
WinRate
#Win
#Games
Play Rate
Server
Pyke/Rek'Sai (3)
52.5%
17867
34042
10.6%
americas, asia, europe
Dragons (DE/MT) (3)
48.4%
13542
27979
8.7%
americas, asia, europe
Draven/Sion (NX/PZ) (3)
56.2%
9120
16235
5.1%
americas, asia, europe
Senna/Veigar (BC/SI) (3)
51.1%
8070
15795
4.9%
americas, asia, europe
Poppy/Ziggs (BC/NX) (3)
54.3%
8530
15702
4.9%
americas, asia, europe
Fizz/Poppy (BC/NX) (3)
53.1%
7720
14546
4.5%
americas, asia, europe
Gangplank/Sejuani (3)
53.5%
6658
12443
3.9%
americas, asia, europe
Poppy/Zed (DE/IO) (3)
58.2%
6805
11692
3.6%
americas, asia, europe
Gangplank/Twisted Fate (BC/BW) (3)
53.8%
4015
7456
2.3%
americas, asia, europe
Akshan/Sivir (DE/SH) (3)
54.7%
3958
7235
2.3%
americas, asia, europe
1–10 of 17 rows

Top Win rates of the top10 best performing least played combination of champions. Play rate ∈ [0.1%,1%)

Min number of games 50, during the times a meta/ladder just changed.
1

Champions
WinRate
#Win
#Games
Play Rate
RubinBait - Draven/Sion
57.9%
278
480
0.1%
Lulu/Poppy (DE/IO)
57.8%
479
829
0.3%
Draven/Riven (NX/PZ)
57.3%
255
445
0.1%
Draven/Viktor
56.6%
280
495
0.2%
Fizz/Poppy/Ziggs (BC/NX)
56.0%
260
464
0.1%
Lulu/Poppy/Zed (DE/IO)
55.8%
491
880
0.3%
Fizz/Lee Sin (BC/IO)
55.8%
213
382
0.1%
Poppy/Teemo (BC/DE)
55.4%
225
406
0.1%
Poppy/Tristana (BC/IO)
55.3%
215
389
0.1%
Miss Fortune/Poppy (BW/DE)
54.7%
560
1023
0.3%

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”.

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 Dragons (DE/MT) Draven/Sion (NX/PZ) Senna/Veigar (BC/SI) Poppy/Ziggs (BC/NX) Fizz/Poppy (BC/NX) Gangplank/Sejuani Poppy/Zed (DE/IO) Gangplank/Twisted Fate (BC/BW) Akshan/Sivir (DE/SH) Lissandra/Taliyah Lee Sin/Zoe Poppy/Taric (DE/MT) Lux/Poppy (BC/DE) Caitlyn/Teemo (BC/PZ)
Pyke/Rek'Sai
NA
(NA)
71.4%
(NA)
34.9%
(33.7%)
53.6%
(NA)
43.4%
(46.9%)
46.4%
(NA)
46.1%
(48.5%)
38.8%
(38.3%)
40.6%
(40.8%)
46.7%
(NA)
59.0%
(NA)
51.0%
(NA)
59.1%
(NA)
58.3%
(NA)
59.1%
(NA)
Dragons (DE/MT)
28.6%
(NA)
NA
(NA)
30.9%
(NA)
57.6%
(NA)
31.5%
(NA)
39.2%
(NA)
50.4%
(NA)
35.7%
(NA)
60.2%
(NA)
35.4%
(NA)
52.3%
(NA)
52.0%
(NA)
50.6%
(NA)
57.4%
(NA)
65.5%
(NA)
Draven/Sion (NX/PZ)
65.1%
(66.3%)
69.1%
(NA)
NA
(NA)
38.6%
(61.0%)
66.7%
(73.5%)
64.4%
(71.8%)
50.1%
(56.1%)
51.3%
(56.0%)
40.6%
(39.7%)
66.1%
(NA)
42.2%
(NA)
17.1%
(24.3%)
69.1%
(NA)
55.1%
(NA)
53.3%
(NA)
Senna/Veigar (BC/SI)
46.4%
(NA)
42.4%
(NA)
61.4%
(39.0%)
NA
(NA)
52.9%
(NA)
31.6%
(NA)
48.1%
(NA)
30.8%
(NA)
54.3%
(NA)
45.0%
(NA)
45.3%
(NA)
72.4%
(NA)
39.0%
(NA)
53.4%
(NA)
54.5%
(NA)
Poppy/Ziggs (BC/NX)
56.6%
(53.1%)
68.5%
(NA)
33.3%
(26.5%)
47.1%
(NA)
NA
(NA)
50.1%
(NA)
53.8%
(NA)
53.5%
(NA)
37.1%
(NA)
52.4%
(NA)
60.0%
(NA)
31.2%
(NA)
53.2%
(NA)
56.3%
(NA)
57.1%
(NA)
Fizz/Poppy (BC/NX)
53.6%
(NA)
60.8%
(NA)
35.6%
(28.2%)
68.4%
(NA)
49.9%
(NA)
NA
(NA)
47.8%
(NA)
36.5%
(NA)
35.7%
(NA)
43.4%
(NA)
45.1%
(NA)
69.5%
(NA)
42.6%
(NA)
66.2%
(NA)
47.2%
(NA)
Gangplank/Sejuani
53.9%
(51.5%)
49.6%
(NA)
49.9%
(43.9%)
51.9%
(NA)
46.2%
(NA)
52.2%
(NA)
NA
(NA)
42.6%
(NA)
52.3%
(NA)
58.7%
(NA)
39.3%
(NA)
42.0%
(NA)
52.1%
(NA)
60.6%
(NA)
48.6%
(NA)
Poppy/Zed (DE/IO)
61.2%
(61.7%)
64.3%
(NA)
48.7%
(44.0%)
69.2%
(NA)
46.5%
(NA)
63.5%
(NA)
57.4%
(NA)
NA
(NA)
39.2%
(48.6%)
50.6%
(NA)
68.3%
(NA)
68.2%
(NA)
52.4%
(NA)
51.0%
(NA)
72.3%
(NA)
Gangplank/Twisted Fate (BC/BW)
59.4%
(59.2%)
39.8%
(NA)
59.4%
(60.3%)
45.7%
(NA)
62.9%
(NA)
64.3%
(NA)
47.7%
(NA)
60.8%
(51.4%)
NA
(NA)
42.2%
(NA)
42.7%
(NA)
37.3%
(NA)
44.1%
(NA)
33.3%
(NA)
62.9%
(NA)
Akshan/Sivir (DE/SH)
53.3%
(NA)
64.6%
(NA)
33.9%
(NA)
55.0%
(NA)
47.6%
(NA)
56.6%
(NA)
41.3%
(NA)
49.4%
(NA)
57.8%
(NA)
NA
(NA)
46.4%
(NA)
55.3%
(NA)
51.0%
(NA)
59.8%
(NA)
63.2%
(NA)
Lissandra/Taliyah
41.0%
(NA)
47.7%
(NA)
57.8%
(NA)
54.7%
(NA)
40.0%
(NA)
54.9%
(NA)
60.7%
(NA)
31.7%
(NA)
57.3%
(NA)
53.6%
(NA)
NA
(NA)
43.6%
(NA)
27.8%
(NA)
55.1%
(NA)
60.7%
(NA)
Lee Sin/Zoe
49.0%
(NA)
48.0%
(NA)
82.9%
(75.7%)
27.6%
(NA)
68.8%
(NA)
30.5%
(NA)
58.0%
(NA)
31.8%
(NA)
62.7%
(NA)
44.7%
(NA)
56.4%
(NA)
NA
(NA)
52.8%
(NA)
36.2%
(NA)
42.6%
(NA)
Poppy/Taric (DE/MT)
40.9%
(NA)
49.4%
(NA)
30.9%
(NA)
61.0%
(NA)
46.8%
(NA)
57.4%
(NA)
47.9%
(NA)
47.6%
(NA)
55.9%
(NA)
49.0%
(NA)
72.2%
(NA)
47.2%
(NA)
NA
(NA)
52.2%
(NA)
71.6%
(NA)
Lux/Poppy (BC/DE)
41.7%
(NA)
42.6%
(NA)
44.9%
(NA)
46.6%
(NA)
43.7%
(NA)
33.8%
(NA)
39.4%
(NA)
49.0%
(NA)
66.7%
(NA)
40.2%
(NA)
44.9%
(NA)
63.8%
(NA)
47.8%
(NA)
NA
(NA)
56.8%
(NA)
Caitlyn/Teemo (BC/PZ)
40.9%
(NA)
34.5%
(NA)
46.7%
(NA)
45.5%
(NA)
42.9%
(NA)
52.8%
(NA)
51.4%
(NA)
27.7%
(NA)
37.1%
(NA)
36.8%
(NA)
39.3%
(NA)
57.4%
(NA)
28.4%
(NA)
43.2%
(NA)
NA
(NA)
MU from Last-Season and Current Masters. The upper value is from Old Masters as they have many more games while the bottom value is from New Masters as they have many more games. MU with less than 30 games are not included. Source: Metadata of games collected with RiotGames API
01,94300008001,600
03,88600001,6003,200
0100000.40.8
Player
Opponent
#Win
#Games
WinRate
CI
Akshan/Ekko
Pyke/Rek'Sai
48
127
37.8%
(29.3% - 46.8%)
Akshan/Lee Sin
Dragons (DE/MT)
108
184
58.7%
(51.2% - 65.9%)
Akshan/Lee Sin
Fizz/Poppy (BC/NX)
54
119
45.4%
(36.2% - 54.8%)
Akshan/Lee Sin
Poppy/Ziggs (BC/NX)
40
105
38.1%
(28.8% - 48.1%)
Akshan/Lee Sin
Pyke/Rek'Sai
91
182
50.0%
(42.5% - 57.5%)
Akshan/Sivir (DE/SH)
Akshan/Sivir (DE/SH)
76
152
50.0%
(41.8% - 58.2%)
Akshan/Sivir (DE/SH)
Dragons (DE/MT)
422
653
64.6%
(60.8% - 68.3%)
Akshan/Sivir (DE/SH)
Draven/Sion (NX/PZ)
125
369
33.9%
(29.1% - 39.0%)
Akshan/Sivir (DE/SH)
Fizz/Poppy (BC/NX)
192
339
56.6%
(51.2% - 62.0%)
Akshan/Sivir (DE/SH)
Gangplank/Sejuani
104
252
41.3%
(35.1% - 47.6%)
1–10 of 396 rows
...

Deck of the week

It’s not a rare/underdog deck, but I’m morally obliged to follow the Grand General and display his potential when recovering the Rune Blade. ( Also Riven’s decks are fun too )

Riven/Swain (BC/NX)
Playrate (N: 2845)
Card
PlayRate
3
2
1
Pokey Stick
100.0%
100.0%
0.0%
0.0%
Ravenous Flock
100.0%
99.9%
0.1%
0.0%
Conchologist
100.0%
99.9%
0.1%
0.0%
Swain
100.0%
99.4%
0.0%
0.6%
Riven
100.0%
99.3%
0.1%
0.6%
Scorched Earth
100.0%
78.5%
13.7%
7.8%
Lecturing Yordle
99.9%
95.4%
4.6%
0.0%
Arachnoid Sentry
99.4%
97.1%
2.9%
0.0%
The Leviathan
99.4%
94.4%
3.6%
2.0%
House Spider
96.0%
98.4%
1.6%
0.0%
Hidden Pathways
95.7%
85.2%
14.7%
0.1%
Group Shot
94.2%
71.2%
28.1%
0.7%
Death's Hand
83.9%
93.0%
6.7%
0.3%
Noxian Guillotine
79.2%
0.0%
18.8%
81.2%
Death Lotus
24.4%
0.1%
1.9%
98.0%
Blade Squire
18.5%
94.1%
5.9%
0.0%
Poison Dart
17.7%
0.0%
92.6%
7.4%
Aloof Travelers
7.1%
42.6%
50.5%
6.9%
Minimorph
6.7%
1.6%
72.3%
26.2%
Captain Farron
5.1%
0.0%
1.4%
98.6%
1–20 of 48 rows

LoR-Meta Index (LMI)

The LMI

LMI - Early Theory
2
LMI - Adding a Ban Index
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.

0.40.60.81.00.40.60.81.0
Tier1Tier2Tier3 or lowerLoR-Meta Index (LMI)hovering over a circle will display a deck valuesWR IndexFreq IndexLMItier

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
Darkodius 16 Poppy/Zed (DE/IO)
Shadawx 16 Poppy/Ziggs (BC/NX)
Al3x 15 Akshan/Sivir (DE/SH)
jmc04 15 Lulu/Poppy (DE/IO)
PanFriedNoodles 15 Senna/Veigar (BC/SI)
Zorig Dungu 15 Pyke/Rek'Sai
Asia
takuzon 16 Fizz/Lulu/Poppy (BC/NX)
All Creation 15 Draven/Sion (NX/PZ)
infeReeno 15 Poppy/Zed (DE/IO)
Europe
Anªrchy 17 Lux/Poppy (BC/DE)
KASLI 17 Akshan/Sivir (DE/SH)
MistAssassin 15 Fizz/Lee Sin (BC/IO)
ShogoPASS 15 Poppy/Ziggs (BC/NX)
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

It seems that not even Twin Disciple can beat Sharsight

 

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

IO
PZ
SI
NX
MT
Sown Seeds
Golden Crushbot
Sinister Poro
Wrathful Rider
Porofly

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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.

Footnotes

  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.