THE META REPORT NAME IS TOO LONG, TOO DAMN LONG (n°68)

Patch 3.11 - Week 1 - If you know someone who is still simping for Evelynn make him stop!


Author

Affiliation

Valentino (Legna) Vazzoler

 

Published

July 26, 2022

DOI


Data

Number of Seasonal Players: 2239

Number of Master Players: 132

Number of (Ranked) Seasonal matches analysed 145095 or 290190 games.

Number of (Ranked) Master matches analysed 7278 or 14556 games.

Last Update: 2022-07-27 18:50

Patch 3.11 - Week 1 - by the Numbers1
Characteristic3 Seasonal2 Master2
N = 201,1014 N = 145,0954 N = 7,9954 N = 7,2784
Status
Ranked 145,095 (72%) 7,278 (91%)
Other 25,299 (13%) 341 (4.3%)
ThePathOfChampions 24,998 (12%) 139 (1.7%)
Labs 4,069 (2.0%) 111 (1.4%)
Friendly Bo3 1,640 (0.8%) 126 (1.6%)
Server
Americas 78,216 (39%) 55,734 (38%) 2,227 (28%) 2,005 (28%)
Apac 53,448 (27%) 37,467 (26%) 2,812 (35%) 2,555 (35%)
Europe 69,437 (35%) 51,894 (36%) 2,956 (37%) 2,718 (37%)
1 Max datetime recovered: 2022-07-27 16:03:27.713738 UTC from 2022-07-20 18:00:00 to 2022-07-27 18:00:00 UTC
2 EU Master 43/43 NA Master 45/45 APAC Master 44/44
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
Shard/Server Total
Americas Apac Europe
Player Rank
Master 45 (6.8%) 44 (6.6%) 43 (6.5%) 132 (20%)
Diamond 199 (30%) 169 (25%) 164 (25%) 532 (80%)
Total 244 (37%) 213 (32%) 207 (31%) 664 (100%)

Regions

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) [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
Freq Shard
America Apac Europe
Regions
Shurima 20.39% 19.41% 21.99% 20.29%
Noxus 13.45% 12.63% 13.77% 14.11%
Demacia 11.93% 11.41% 12.44% 12.13%
ShadowIsles 11.27% 11.58% 10.19% 11.72%
Piltover 8.47% 9.11% 8.09% 8.06%
Ionia 8.42% 8.41% 8.87% 8.10%
Bilgewater 8.03% 8.62% 7.48% 7.81%
Freljord 4.55% 4.69% 4.47% 4.44%
BandleCity 3.95% 4.14% 3.91% 3.79%
MtTargon 2.32% 2.80% 1.73% 2.23%
Runeterra
Bard 3.52% 3.68% 3.51% 3.35%
Evelynn 2.15% 2.31% 1.99% 2.09%
Jhin 1.55% 1.22% 1.57% 1.89%
total 7.22% 7.21% 7.07% 7.33%
Patch 3.11 - Week 1 Ranked games from 2022-07-20 18:00:00 UTC to 2022-07-27 18:00:00 UTC Source: Metadata of games collected with RiotGames API Last Update: 2022-07-27 16:41:07.752361

Play Rate by number of Cards

Region Play Rate
Relative Frequencies by number of times a Card within a Region is included in a Deck
Freq Shard
America Apac Europe
Regions
Shurima 21.72% 20.63% 23.25% 21.80%
Noxus 12.41% 11.66% 12.92% 12.85%
ShadowIsles 11.38% 11.71% 10.48% 11.68%
Demacia 10.88% 10.51% 11.24% 11.03%
Piltover 9.97% 10.70% 9.50% 9.51%
Ionia 9.63% 9.55% 10.23% 9.28%
Bilgewater 8.71% 9.60% 7.76% 8.45%
Runeterra 5.30% 5.04% 5.20% 5.65%
Freljord 4.57% 4.62% 4.55% 4.54%
BandleCity 3.34% 3.42% 3.31% 3.27%
MtTargon 2.08% 2.56% 1.56% 1.95%
Patch 3.11 - Week 1 Ranked games from 2022-07-20 18:00:00 UTC to 2022-07-27 18:00:00 UTC Source: Metadata of games collected with RiotGames API Last Update: 2022-07-27 16:41:07.752361

Champions Combinations

Play Rates

Champions
Play Rate
America
Apac
Europe
Azir/Irelia (IO/SH)
7.0%
6.6%
7.9%
6.9%
Kai'Sa (DE/SH)
6.8%
5.0%
9.3%
6.9%
Akshan/Kai'Sa (DE/SH)
5.8%
6.2%
6.6%
4.8%
Annie/Twisted Fate (BW/NX)
5.5%
5.4%
6.0%
5.3%
Katarina/Yasuo (IO/NX)
4.8%
4.9%
5.3%
4.4%
Bard/Illaoi (BW/RU)
4.2%
4.5%
3.8%
4.1%
Kai'Sa/Sivir (DE/SH)
3.8%
3.4%
2.6%
5.0%
Annie/Jhin (NX/RU)
3.0%
2.3%
3.0%
3.7%
Heimerdinger/Jayce (PZ/SI)
2.7%
2.8%
2.0%
3.1%
Annie/Gwen (NX/SI)
2.7%
1.5%
2.3%
4.2%
Elise/Gwen (NX/SI)
2.3%
2.5%
2.7%
1.9%
Lissandra/Taliyah (FR/SH)
2.1%
2.2%
2.4%
1.9%
Lulu (BC/PZ)
2.0%
2.0%
1.9%
2.1%
Zilean (PZ/SH)
1.3%
1.1%
1.6%
1.3%
Illaoi/Lux (BW/DE)
1.3%
1.4%
0.9%
1.4%
Evelynn/Kai'Sa (RU/SH)
1.2%
1.2%
1.1%
1.3%
Ashe/LeBlanc (FR/NX)
1.1%
0.7%
1.1%
1.6%
Aphelios/Viktor (MT/PZ)
1.1%
1.2%
0.8%
1.2%
Xerath/Zilean (BC/SH)
1.1%
1.3%
0.8%
1.0%
Evelynn/Lucian (DE/RU)
0.9%
1.1%
0.6%
1.0%
1–20 of 2480 rows
...

Source: Metadata of games collected with RiotGames API. Last Update: 2022-07-27 16:52:15.116843 FALSE

Champions
Play Rate
America
Apac
Europe
Kai'Sa (DE/SH)
15.5%
8.5%
20.8%
15.6%
Bard/Illaoi (BW/RU)
10.3%
14.3%
9.7%
7.9%
Annie/Twisted Fate (BW/NX)
5.8%
6.8%
6.9%
4.0%
Azir/Irelia (IO/SH)
5.8%
3.9%
5.5%
7.3%
Heimerdinger/Jayce (PZ/SI)
4.6%
6.4%
2.9%
4.9%
Katarina/Yasuo (IO/NX)
4.2%
4.0%
7.4%
1.4%
Akshan/Kai'Sa (DE/SH)
3.8%
6.0%
2.7%
3.3%
Annie/Gwen (NX/SI)
3.5%
0.9%
1.3%
7.6%
Kai'Sa/Sivir (DE/SH)
3.3%
3.2%
0.7%
5.8%
Annie/Jhin (NX/RU)
2.9%
2.2%
2.5%
3.8%
Lissandra/Taliyah (FR/SH)
2.2%
2.6%
2.4%
1.8%
Lulu (BC/PZ)
2.1%
1.7%
1.6%
2.8%
Aphelios/Viktor (MT/PZ)
1.8%
1.3%
1.1%
2.9%
Nami/Twisted Fate (BW/SI)
1.6%
1.4%
2.6%
0.8%
Bard/Jinx (PZ/RU)
1.6%
0.2%
3.5%
0.8%
Illaoi/Lux (BW/DE)
1.0%
1.7%
0.7%
0.8%
Annie/Elise (NX/SI)
1.0%
0.0%
2.5%
0.3%
Elise/Gwen (NX/SI)
1.0%
1.9%
0.5%
0.9%
Gwen/Nasus (SI/SH)
1.0%
0.0%
0.4%
2.3%
Zilean (PZ/SH)
1.0%
0.1%
1.8%
0.9%
1–20 of 306 rows
...

Source: Metadata of games collected with RiotGames API. Last Update: 2022-07-27 16:52:15.367526 FALSE

Day by day

Each playrate is stacked upon the other with the decks with the highest overall play-rate (the written value) being at the bottom.

Win Rates

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

Format changed to replicate the one used in the Meta - page

Archetype
WinRate
#Win
#Games
PlayRate
Conf.Interval
Azir/Irelia (IO/SH)
52.4%
10675
20368
7.0%
(51.7% - 53.1%)
Kai'Sa (DE/SH)
52.8%
10428
19755
6.8%
(52.1% - 53.5%)
Akshan/Kai'Sa (DE/SH)
51.8%
8747
16893
5.8%
(51.0% - 52.5%)
Annie/Twisted Fate (BW/NX)
54.4%
8719
16023
5.5%
(53.6% - 55.2%)
Katarina/Yasuo (IO/NX)
49.4%
6918
13995
4.8%
(48.6% - 50.3%)
Bard/Illaoi (BW/RU)
57.8%
7036
12182
4.2%
(56.9% - 58.6%)
Kai'Sa/Sivir (DE/SH)
55.4%
6081
10978
3.8%
(54.5% - 56.3%)
Annie/Jhin (NX/RU)
52.5%
4502
8572
3.0%
(51.5% - 53.6%)
Heimerdinger/Jayce (PZ/SI)
55.0%
4318
7851
2.7%
(53.9% - 56.1%)
Annie/Gwen (NX/SI)
47.8%
3720
7779
2.7%
(46.7% - 48.9%)
Elise/Gwen (NX/SI)
50.0%
3385
6767
2.3%
(48.8% - 51.2%)
Lissandra/Taliyah (FR/SH)
54.3%
3365
6196
2.1%
(53.1% - 55.6%)
Lulu (BC/PZ)
51.9%
3031
5844
2.0%
(50.6% - 53.2%)
Zilean (PZ/SH)
39.6%
1493
3771
1.3%
(38.0% - 41.2%)
Illaoi/Lux (BW/DE)
55.8%
2040
3654
1.3%
(54.2% - 57.4%)
Evelynn/Kai'Sa (RU/SH)
41.2%
1452
3524
1.2%
(39.6% - 42.8%)
Ashe/LeBlanc (FR/NX)
48.9%
1612
3294
1.1%
(47.2% - 50.7%)
Aphelios/Viktor (MT/PZ)
54.5%
1789
3285
1.1%
(52.7% - 56.2%)
Xerath/Zilean (BC/SH)
46.4%
1444
3110
1.1%
(44.7% - 48.2%)

Top Win rates of the top10 best performing least played combination of champions. Play rate [0.11

Archetype
WinRate
#Win
#Games
PlayRate
Conf.Interval
Aphelios/Vi (MT/PZ)
59.6%
263
441
0.2%
(54.9% - 64.3%)
Bard/Zed (IO/RU)
54.6%
263
482
0.2%
(50.0% - 59.1%)
Annie/Katarina/Ziggs (NX/SH)
54.3%
200
368
0.1%
(49.1% - 59.5%)
Ahri/Bard (IO/RU)
53.7%
593
1104
0.4%
(50.7% - 56.7%)
Bard/Poppy (DE/RU)
53.6%
459
857
0.3%
(50.2% - 56.9%)
Annie/Ziggs (NX/SH)
53.4%
303
567
0.2%
(49.2% - 57.6%)
Tri-Beam (NX/PZ)
53.4%
1349
2527
0.9%
(51.4% - 55.3%)
Nami/Twisted Fate (BW/SI)
53.3%
1112
2086
0.7%
(51.1% - 55.5%)
Pirates (BW/NX)
53.3%
253
475
0.2%
(48.7% - 57.8%)
Maokai/Nautilus (BW/SI)
53.2%
525
987
0.3%
(50.0% - 56.3%)
Sivir/Ziggs (NX/SH)
53.1%
412
776
0.3%
(49.5% - 56.7%)
Bard/Jinx (PZ/RU)
53.0%
1316
2483
0.9%
(51.0% - 55.0%)
Draven/Sion (NX/PZ)
52.9%
450
850
0.3%
(49.5% - 56.3%)
Elise (NX/SI)
52.9%
626
1184
0.4%
(50.0% - 55.7%)
Bard/Vi (PZ/RU)
52.8%
236
447
0.2%
(48.1% - 57.5%)
Jayce/Lux (DE/PZ)
52.7%
418
793
0.3%
(49.2% - 56.2%)
Caitlyn/Trundle (FR/PZ)
52.7%
555
1053
0.4%
(49.6% - 55.8%)
Miss Fortune/Quinn (BW/DE)
52.7%
568
1078
0.4%
(49.7% - 55.7%)
Poppy/Taric (DE/MT)
52.7%
471
894
0.3%
(49.4% - 56.0%)
Trundle/Tryndamere (FR/SI)
52.6%
836
1588
0.5%
(50.2% - 55.1%)
Akshan/Renekton (BC/SH)
52.6%
956
1819
0.6%
(50.2% - 54.9%)
Gwen/Illaoi (BW/SI)
52.4%
572
1091
0.4%
(49.4% - 55.4%)
Fizz/Twisted Fate (BW/PZ)
52.0%
197
379
0.1%
(46.8% - 57.1%)
Annie/Elise (NX/SI)
51.9%
510
982
0.3%
(48.8% - 55.1%)
LeBlanc/Sion (FR/NX)
51.9%
248
478
0.2%
(47.3% - 56.4%)
1–25 of 30 rows

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.

Azir/Irelia (IO/SH) Kai'Sa (DE/SH) Akshan/Kai'Sa (DE/SH) Annie/Twisted Fate (BW/NX) Katarina/Yasuo (IO/NX) Bard/Illaoi (BW/RU) Kai'Sa/Sivir (DE/SH) Annie/Jhin (NX/RU) Heimerdinger/Jayce (PZ/SI) Annie/Gwen (NX/SI)
Azir/Irelia (IO/SH)
NA
NA
59.0%
(56.4% - 61.6%)
59.3%
(56.6% - 62.1%)
35.9%
(33.2% - 38.7%)
64.9%
(61.9% - 67.8%)
39.0%
(35.6% - 42.5%)
51.5%
(47.8% - 55.1%)
31.7%
(28.1% - 35.5%)
45.8%
(41.5% - 50.1%)
48.2%
(43.8% - 52.6%)
Kai'Sa (DE/SH)
41.0%
(38.4% - 43.6%)
NA
NA
54.1%
(51.1% - 57.0%)
55.9%
(53.1% - 58.6%)
42.8%
(39.6% - 46.1%)
50.2%
(47.2% - 53.3%)
52.0%
(48.4% - 55.6%)
39.7%
(35.9% - 43.6%)
51.6%
(47.6% - 55.5%)
67.2%
(63.1% - 71.1%)
Akshan/Kai'Sa (DE/SH)
40.7%
(37.9% - 43.4%)
45.9%
(43.0% - 48.9%)
NA
NA
51.8%
(48.5% - 55.0%)
46.0%
(42.6% - 49.5%)
51.9%
(48.2% - 55.7%)
49.1%
(45.0% - 53.2%)
42.1%
(37.7% - 46.7%)
44.9%
(40.2% - 49.7%)
66.7%
(62.0% - 71.1%)
Annie/Twisted Fate (BW/NX)
64.1%
(61.3% - 66.8%)
44.1%
(41.4% - 46.9%)
48.2%
(45.0% - 51.5%)
NA
NA
77.3%
(74.2% - 80.2%)
47.3%
(43.6% - 51.0%)
40.6%
(36.8% - 44.5%)
54.7%
(50.2% - 59.2%)
52.1%
(47.5% - 56.7%)
62.0%
(57.2% - 66.5%)
Katarina/Yasuo (IO/NX)
35.1%
(32.2% - 38.1%)
57.2%
(53.9% - 60.4%)
54.0%
(50.5% - 57.4%)
22.7%
(19.8% - 25.8%)
NA
NA
41.1%
(36.8% - 45.5%)
41.9%
(37.6% - 46.3%)
36.8%
(31.8% - 41.9%)
35.8%
(31.0% - 40.9%)
44.5%
(39.2% - 49.9%)
Bard/Illaoi (BW/RU)
61.0%
(57.5% - 64.4%)
49.8%
(46.7% - 52.8%)
48.1%
(44.3% - 51.8%)
52.7%
(49.0% - 56.4%)
58.9%
(54.5% - 63.2%)
NA
NA
48.3%
(43.8% - 52.8%)
66.6%
(61.8% - 71.2%)
55.1%
(50.3% - 59.9%)
61.9%
(56.6% - 67.0%)
Kai'Sa/Sivir (DE/SH)
48.5%
(44.9% - 52.2%)
48.0%
(44.4% - 51.6%)
50.9%
(46.8% - 55.0%)
59.4%
(55.5% - 63.2%)
58.1%
(53.7% - 62.4%)
51.7%
(47.2% - 56.2%)
NA
NA
48.8%
(43.5% - 54.0%)
58.3%
(53.0% - 63.5%)
69.5%
(64.2% - 74.5%)
Annie/Jhin (NX/RU)
68.3%
(64.5% - 71.9%)
60.3%
(56.4% - 64.1%)
57.9%
(53.3% - 62.3%)
45.3%
(40.8% - 49.8%)
63.2%
(58.1% - 68.2%)
33.4%
(28.8% - 38.2%)
51.2%
(46.0% - 56.5%)
NA
NA
37.8%
(31.6% - 44.2%)
39.0%
(32.6% - 45.6%)
Heimerdinger/Jayce (PZ/SI)
54.2%
(49.9% - 58.5%)
48.4%
(44.5% - 52.4%)
55.1%
(50.3% - 59.8%)
47.9%
(43.3% - 52.5%)
64.2%
(59.1% - 69.0%)
44.9%
(40.1% - 49.7%)
41.7%
(36.5% - 47.0%)
62.2%
(55.8% - 68.4%)
NA
NA
55.6%
(48.7% - 62.3%)
Annie/Gwen (NX/SI)
51.8%
(47.4% - 56.2%)
32.8%
(28.9% - 36.9%)
33.3%
(28.9% - 38.0%)
38.0%
(33.5% - 42.8%)
55.5%
(50.1% - 60.8%)
38.1%
(33.0% - 43.4%)
30.5%
(25.5% - 35.8%)
61.0%
(54.4% - 67.4%)
44.4%
(37.7% - 51.3%)
NA
NA
MatchUp values from Ranked games of the player who attended the last Seasonal Tournament Order of the Archetypes based on the playrate. Source: Metadata of games collected with RiotGames API

LoR-Meta Index (LMI)

Note: Games from Master Rank only

Tier0 with LMI 97.5 Tier1 with LMI [85,97.5) Tier2 with LMI [60,85) Tier3- with LMI < 60

The LMI

1 2 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
markus63 15 Bard/Illaoi (BW/RU)
HDR Roxas 14 Bard/Illaoi (BW/RU)
Card Gamer 12 Lulu (BC/PZ)
infinipatrons 12 Heimerdinger/Jayce (PZ/SI)
WW CameronHanzo 12 Illaoi/Lux (BW/DE)
Apac
EV 어느날 13 Bard/Illaoi (BW/RU)
Teal Red 13 Bard/Jinx (PZ/RU)
버버버 13 Kai'Sa (DE/SH)
Europe
LFR Shunpo 23 Annie/Gwen (NX/SI)
piorro 14 Miss Fortune/Quinn (BW/DE)
Lawdak 11 Garen/Illaoi (BW/DE)
Pepega 11 Tri-Beam (NX/PZ)
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 (Seasonal players)

 

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

BW
Abyssal Guard

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
Camavoran Deserter 2+ Legion Deserter and 2+ Viego
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

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Footnotes

  1. LMI - Early Theory[↩]
  2. LMI - Adding a Ban Index[↩]