THE META REPORT NAME IS TOO LONG, TOO DAMN LONG (n°77)

Patch 3.15 - Week 2 - Leona-chan: Praise the Sun of Tomorrow! [T]/


Author

Affiliation

Valentino (Legna) Vazzoler

 

Published

Sept. 27, 2022

DOI


Data

Number of Master Players: 7219

Number of HighDiamond

HighDiamond are defined as “players who played against Master player in a Ranked games but are not Master themselves”
1 Players: 9107

Number of (Ranked) Master matches analysed 179525 or 359050 games.

Number of (Ranked) ~HighDiamond matches analysed 329331 or 658662 games.

Last Update: 2022-09-28 18:06

Patch 3.15 - Week 2 - by the Numbers1
Characteristic Master2 ~HighDiamond2
N = 351,1363 N = 179,5253 N = 491,5723 N = 329,3313
Status
Ranked 179,525 (51%) 329,331 (67%)
ThePathOfChampions 96,921 (28%) 98,609 (20%)
Other 68,480 (20%) 58,565 (12%)
Labs 3,146 (0.9%) 3,355 (0.7%)
Friendly Bo3 3,064 (0.9%) 1,712 (0.3%)
Server
Americas 133,346 (38%) 68,975 (38%) 182,825 (37%) 124,160 (38%)
Apac 106,799 (30%) 49,931 (28%) 144,412 (29%) 91,721 (28%)
Europe 110,991 (32%) 60,619 (34%) 164,335 (33%) 113,450 (34%)
1 Max datetime recovered: 2022-09-28 15:04:00.5817 UTC from 2022-09-21 18:00:00 to 2022-09-28 18:00:00 UTC
2 EU Master 2407/2409 NA Master 2788/2801 APAC Master 2024/2039
3 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 2,788 (17%) 2,024 (12%) 2,407 (15%) 7,219 (44%)
Diamond 3,359 (21%) 2,703 (17%) 3,045 (19%) 9,107 (56%)
Total 6,147 (38%) 4,727 (29%) 5,452 (33%) 16,326 (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
Bilgewater 16.01% 16.11% 15.21% 16.56%
ShadowIsles 14.99% 14.94% 15.71% 14.46%
Ionia 11.75% 12.49% 10.87% 11.64%
Freljord 10.70% 9.88% 10.98% 11.39%
Shurima 8.10% 8.01% 9.02% 7.44%
Piltover 7.48% 7.38% 7.15% 7.86%
BandleCity 7.39% 7.83% 7.40% 6.90%
Noxus 7.26% 6.80% 7.04% 7.95%
Demacia 5.95% 6.22% 5.69% 5.87%
MtTargon 5.82% 6.14% 5.89% 5.40%
Runeterra
Evelynn 2.07% 1.67% 2.76% 1.94%
Kayn 0.86% 0.84% 0.74% 0.98%
Jax 0.68% 0.69% 0.72% 0.64%
Jhin 0.49% 0.53% 0.51% 0.45%
Bard 0.45% 0.47% 0.31% 0.53%
total 4.55% 4.21% 5.04% 4.54%
Patch 3.15 - Week 2 Ranked games from 2022-09-21 18:00:00 UTC to 2022-09-28 18:00:00 UTC Source: Metadata of games collected with RiotGames API Last Update: 2022-09-28 16:01:10.909316

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
Bilgewater 20.25% 20.11% 18.98% 21.45%
ShadowIsles 16.17% 15.78% 17.34% 15.66%
Ionia 12.65% 13.63% 11.59% 12.39%
BandleCity 7.83% 8.42% 7.68% 7.28%
Shurima 7.80% 7.48% 8.92% 7.25%
Freljord 6.95% 6.27% 7.55% 7.23%
Piltover 6.84% 6.62% 6.52% 7.36%
Noxus 6.26% 5.92% 6.13% 6.76%
Demacia 5.82% 6.14% 5.58% 5.65%
MtTargon 5.67% 6.10% 5.56% 5.27%
Runeterra 3.75% 3.51% 4.15% 3.70%
Patch 3.15 - Week 2 Ranked games from 2022-09-21 18:00:00 UTC to 2022-09-28 18:00:00 UTC Source: Metadata of games collected with RiotGames API Last Update: 2022-09-28 16:01:10.909316

Champions Combinations

Play Rates

Champions
Play Rate
America
Apac
Europe
Gangplank/Sejuani (BW/FR)
9.7%
9.2%
9.4%
10.6%
Lee Sin/Nami (BW/IO)
6.8%
8.1%
6.9%
5.2%
Pirates (BW/NX)
5.4%
4.8%
3.9%
7.4%
Heimerdinger/Norra (BC/SI)
5.2%
5.3%
5.6%
4.8%
Poppy/Taric (DE/MT)
4.2%
4.5%
4.2%
3.9%
Evelynn/Viego (RU/SI)
3.9%
3.1%
5.4%
3.7%
Trundle Timelines (FR/PZ)
3.7%
3.2%
3.4%
4.7%
Gwen/Katarina (NX/SI)
3.2%
3.2%
3.1%
3.1%
Norra/Veigar (BC/SI)
2.8%
3.6%
1.9%
2.7%
Kindred/Nasus (SI/SH)
2.7%
2.6%
3.1%
2.6%
Nami/Twisted Fate (BW/IO)
2.7%
1.9%
2.4%
3.9%
Ezreal/Kennen (IO/PZ)
2.0%
2.1%
1.9%
1.9%
Karma/Viktor (IO/PZ)
1.9%
2.1%
1.3%
2.3%
Akshan/Lee Sin (IO/SH)
1.8%
2.5%
1.2%
1.5%
Miss Fortune/Quinn (BW/DE)
1.4%
1.5%
1.6%
1.0%
Pyke/Rek'Sai (BW/SH)
1.3%
1.4%
1.6%
0.9%
Thresh/Viego (IO/SI)
1.3%
1.1%
1.1%
1.6%
Akshan/Pantheon (MT/SH)
1.2%
0.9%
1.1%
1.6%
Senna/Veigar (BC/SI)
1.2%
1.2%
1.2%
1.1%
Aurelion Sol/Zoe (FR/MT)
1.0%
1.0%
1.4%
0.6%
1–20 of 2708 rows
...

Source: Metadata of games collected with RiotGames API. Last Update: 2022-09-28 16:08:34.862942 FALSE

Champions
Play Rate
America
Apac
Europe
Gangplank/Sejuani (BW/FR)
9.1%
8.6%
9.6%
9.1%
Pirates (BW/NX)
5.3%
4.8%
3.7%
7.1%
Heimerdinger/Norra (BC/SI)
5.1%
5.0%
5.9%
4.7%
Lee Sin/Nami (BW/IO)
4.2%
4.8%
3.9%
3.8%
Trundle Timelines (FR/PZ)
4.1%
3.5%
4.0%
4.8%
Evelynn/Viego (RU/SI)
3.9%
3.4%
4.9%
3.7%
Gwen/Katarina (NX/SI)
3.7%
3.9%
3.5%
3.7%
Kindred/Nasus (SI/SH)
3.7%
4.1%
3.8%
3.2%
Poppy/Taric (DE/MT)
3.1%
3.1%
3.3%
3.0%
Norra/Veigar (BC/SI)
2.1%
2.8%
0.9%
2.3%
Nami/Twisted Fate (BW/IO)
1.9%
1.3%
1.8%
2.6%
Ezreal/Kennen (IO/PZ)
1.6%
1.7%
1.7%
1.6%
Pyke/Rek'Sai (BW/SH)
1.5%
1.6%
1.6%
1.3%
Anivia (FR/SI)
1.4%
1.4%
1.1%
1.5%
Karma/Viktor (IO/PZ)
1.3%
1.6%
1.0%
1.3%
Akshan/Lee Sin (IO/SH)
1.2%
1.3%
1.3%
1.0%
Senna/Veigar (BC/SI)
1.2%
1.2%
1.3%
1.0%
Aurelion Sol/Zoe (FR/MT)
1.1%
1.2%
1.1%
1.1%
Annie/Jhin (NX/RU)
1.1%
1.0%
0.9%
1.4%
Caitlyn/Teemo (BC/PZ)
1.0%
0.9%
1.0%
1.2%
1–20 of 4595 rows
...

Source: Metadata of games collected with RiotGames API. Last Update: 2022-09-28 16:08:35.354382 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
Gangplank/Sejuani (BW/FR)
53.6%
18709
34879
9.7%
(53.1% - 54.2%)
Lee Sin/Nami (BW/IO)
57.1%
13938
24389
6.8%
(56.5% - 57.8%)
Pirates (BW/NX)
54.2%
10602
19545
5.4%
(53.5% - 54.9%)
Heimerdinger/Norra (BC/SI)
50.6%
9462
18702
5.2%
(49.9% - 51.3%)
Poppy/Taric (DE/MT)
55.7%
8398
15085
4.2%
(54.9% - 56.5%)
Evelynn/Viego (RU/SI)
54.3%
7681
14139
3.9%
(53.5% - 55.1%)
Trundle Timelines (FR/PZ)
50.3%
6748
13421
3.7%
(49.4% - 51.1%)
Gwen/Katarina (NX/SI)
52.7%
5975
11338
3.2%
(51.8% - 53.6%)
Norra/Veigar (BC/SI)
51.4%
5239
10200
2.8%
(50.4% - 52.3%)
Kindred/Nasus (SI/SH)
52.0%
5128
9868
2.7%
(51.0% - 53.0%)
Nami/Twisted Fate (BW/IO)
53.2%
5178
9728
2.7%
(52.2% - 54.2%)
Ezreal/Kennen (IO/PZ)
53.8%
3782
7028
2.0%
(52.6% - 55.0%)
Karma/Viktor (IO/PZ)
48.2%
3330
6908
1.9%
(47.0% - 49.4%)
Akshan/Lee Sin (IO/SH)
53.4%
3423
6414
1.8%
(52.1% - 54.6%)
Miss Fortune/Quinn (BW/DE)
54.4%
2649
4867
1.4%
(53.0% - 55.8%)
Pyke/Rek'Sai (BW/SH)
49.8%
2325
4669
1.3%
(48.4% - 51.2%)
Thresh/Viego (IO/SI)
51.7%
2369
4581
1.3%
(50.3% - 53.2%)
Akshan/Pantheon (MT/SH)
52.0%
2253
4330
1.2%
(50.5% - 53.5%)
Senna/Veigar (BC/SI)
48.4%
2002
4133
1.2%
(46.9% - 50.0%)

Top Win rates of the top10 best performing least played combination of champions. Play rate [0.1

Archetype
WinRate
#Win
#Games
PlayRate
Conf.Interval
Lee Sin/Viktor (IO/PZ)
55.0%
917
1666
0.5%
(52.6% - 57.5%)
Akshan/Sivir (DE/SH)
54.2%
807
1489
0.4%
(51.6% - 56.8%)
Elise/Gwen (NX/SI)
53.4%
267
500
0.1%
(48.9% - 57.8%)
Gwen/Sejuani (FR/SI)
53.0%
1233
2325
0.6%
(51.0% - 55.1%)
Viktor - Shellfolk
53.0%
224
423
0.1%
(48.1% - 57.8%)
Fizz/Gnar (BW/FR)
52.6%
483
919
0.3%
(49.3% - 55.8%)
Akshan/Kai'Sa (DE/SH)
52.4%
349
666
0.2%
(48.5% - 56.3%)
Pantheon/Yuumi (DE/MT)
52.3%
961
1837
0.5%
(50.0% - 54.6%)
Annie/Jhin (NX/RU)
51.7%
1481
2866
0.8%
(49.8% - 53.5%)
Jax/Vi (PZ/RU)
51.6%
1463
2834
0.8%
(49.8% - 53.5%)
Yuumi/Zoe (MT/PZ)
51.5%
338
656
0.2%
(47.6% - 55.4%)
Kai'Sa (DE/SH)
51.5%
1694
3290
0.9%
(49.8% - 53.2%)
Trundle/Tryndamere (FR/SI)
51.0%
1009
1977
0.6%
(48.8% - 53.3%)
Heimerdinger/Jayce (PZ/SI)
51.0%
294
577
0.2%
(46.8% - 55.1%)
Nami/Twisted Fate (BW/SI)
50.9%
1017
2000
0.6%
(48.6% - 53.1%)
Lulu/Poppy (BC/DE)
50.8%
768
1511
0.4%
(48.3% - 53.4%)
Taliyah/Ziggs (BC/SH)
50.5%
655
1297
0.4%
(47.7% - 53.3%)

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.

WR (WRmeta) Gangplank/Sejuani (BW/FR) Lee Sin/Nami (BW/IO) Pirates (BW/NX) Heimerdinger/Norra (BC/SI) Poppy/Taric (DE/MT) Evelynn/Viego (RU/SI) Trundle Timelines (FR/PZ) Gwen/Katarina (NX/SI) Norra/Veigar (BC/SI) Kindred/Nasus (SI/SH)
Gangplank/Sejuani (BW/FR)
53.6%
51.0%
NA
NA
46.4%
(44.4% - 48.5%)
62.3%
(60.1% - 64.4%)
50.8%
(48.4% - 53.1%)
50.3%
(47.7% - 52.9%)
35.4%
(32.9% - 38.0%)
51.5%
(48.7% - 54.2%)
58.5%
(55.7% - 61.4%)
45.9%
(42.7% - 49.1%)
55.0%
(51.9% - 58.1%)
Lee Sin/Nami (BW/IO)
57.1%
53.9%
53.6%
(51.5% - 55.6%)
NA
NA
50.1%
(47.3% - 52.9%)
62.5%
(59.8% - 65.1%)
41.7%
(38.7% - 44.7%)
57.9%
(54.6% - 61.2%)
72.7%
(69.6% - 75.6%)
49.9%
(46.2% - 53.7%)
59.4%
(55.8% - 62.9%)
51.5%
(47.6% - 55.4%)
Pirates (BW/NX)
54.2%
50.2%
37.7%
(35.6% - 39.9%)
49.9%
(47.1% - 52.7%)
NA
NA
45.8%
(42.7% - 48.9%)
59.4%
(56.0% - 62.6%)
46.5%
(42.9% - 50.1%)
58.1%
(54.5% - 61.6%)
54.6%
(50.7% - 58.5%)
39.9%
(35.8% - 44.1%)
61.8%
(57.5% - 66.0%)
Heimerdinger/Norra (BC/SI)
50.6%
47.4%
49.2%
(46.9% - 51.6%)
37.5%
(34.9% - 40.2%)
54.2%
(51.1% - 57.3%)
NA
NA
40.8%
(37.4% - 44.4%)
51.9%
(48.2% - 55.7%)
33.3%
(29.8% - 37.0%)
50.9%
(46.8% - 55.0%)
45.1%
(40.9% - 49.5%)
49.8%
(45.3% - 54.3%)
Poppy/Taric (DE/MT)
55.7%
53.0%
49.7%
(47.1% - 52.3%)
58.3%
(55.3% - 61.3%)
40.6%
(37.4% - 44.0%)
59.2%
(55.6% - 62.6%)
NA
NA
48.0%
(43.8% - 52.2%)
56.4%
(52.2% - 60.6%)
54.0%
(49.3% - 58.6%)
56.2%
(51.6% - 60.7%)
43.2%
(38.5% - 48.0%)
Evelynn/Viego (RU/SI)
54.3%
52.1%
64.6%
(62.0% - 67.1%)
42.1%
(38.8% - 45.4%)
53.5%
(49.9% - 57.1%)
48.1%
(44.3% - 51.8%)
52.0%
(47.8% - 56.2%)
NA
NA
46.6%
(42.4% - 50.8%)
62.7%
(57.9% - 67.2%)
34.3%
(29.3% - 39.5%)
56.8%
(52.1% - 61.5%)
Trundle Timelines (FR/PZ)
50.3%
46.9%
48.5%
(45.8% - 51.3%)
27.3%
(24.4% - 30.4%)
41.9%
(38.4% - 45.5%)
66.7%
(63.0% - 70.2%)
43.6%
(39.4% - 47.8%)
53.4%
(49.2% - 57.6%)
NA
NA
49.0%
(44.3% - 53.7%)
66.5%
(61.5% - 71.2%)
45.4%
(40.2% - 50.7%)
Gwen/Katarina (NX/SI)
52.7%
47.7%
41.5%
(38.6% - 44.3%)
50.1%
(46.3% - 53.8%)
45.4%
(41.5% - 49.3%)
49.1%
(45.0% - 53.2%)
46.0%
(41.4% - 50.7%)
37.3%
(32.8% - 42.1%)
51.0%
(46.3% - 55.7%)
NA
NA
58.4%
(52.6% - 64.1%)
56.1%
(50.3% - 61.8%)
Norra/Veigar (BC/SI)
51.4%
49.0%
54.1%
(50.9% - 57.3%)
40.6%
(37.1% - 44.2%)
60.1%
(55.9% - 64.2%)
54.9%
(50.5% - 59.1%)
43.8%
(39.3% - 48.4%)
65.7%
(60.5% - 70.7%)
33.5%
(28.8% - 38.5%)
41.6%
(35.9% - 47.4%)
NA
NA
34.3%
(28.6% - 40.4%)
Kindred/Nasus (SI/SH)
52.0%
48.3%
45.0%
(41.9% - 48.1%)
48.5%
(44.6% - 52.4%)
38.2%
(34.0% - 42.5%)
50.2%
(45.7% - 54.7%)
56.8%
(52.0% - 61.5%)
43.2%
(38.5% - 47.9%)
54.6%
(49.3% - 59.8%)
43.9%
(38.2% - 49.7%)
65.7%
(59.6% - 71.4%)
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

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
NinjaDuelist429 21 Gangplank/Sejuani (BW/FR)
Codemanjack 19 Lee Sin/Nami (BW/IO)
gonzie 18 Norra/Veigar (BC/SI)
Apac
Naiy 18 Lee Sin/Nami (BW/IO)
END G 15 Lee Sin/Nami (BW/IO)
背負拯救快攻卡組的使命之人 15 Nami/Twisted Fate (BW/IO)
Europe
Sorry 17 Lee Sin/Nami (BW/IO)
GBZKHTRDH 16 Evelynn/Viego (RU/SI)
RickoRex 16 Bard/Udyr (FR/RU)
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 (at Master)

 

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

BC
IO
MT
PZ
SI
Yordle Newbie
Nimble Poro
Porofly
Intrepid Mariner
Sinister Poro
Yordle Explorer
Yusari

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
Pack Your Catalogue (Regions) Three copies of Go Hard and 2+ of Catalogue of Regrets
Pirates (BW/NX) BW/NX deck with Miss Fortune and any of Twisted Fate, Gangplank
Plunder Pandemonium (Regions) 2+ Powder Pandemonium and at least 32 Bilgewater Cards
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
Trundle Timelines (FR/PZ) Trundle and Concurrent Timelines
Viktor - Shellfolk Viktor + at least one of Curious Shellfolk/Mirror Mage + at least 2 Trinket Trade

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Footnotes

  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[↩]