THE META REPORT NAME IS TOO LONG, TOO DAMN LONG (n°85)

Patch 3.19 - Week 2 - World’s Unworthy SouL

Valentino (Legna) Vazzoler
2022-11-23

Data

Number of Master Players: 11456

Number of HighDiamond 1 Players: 13224

Number of (Ranked) Master matches analysed 200305 or 400610 games.

Number of (Ranked) ~HighDiamond matches analysed 290078 or 580156 games.

Last Update: 2022-11-23 18:32

Games

Patch 3.19 - Week 2 - by the Numbers1
Characteristic Master2 ~HighDiamond2
N = 410,9393 N = 200,3053 N = 453,9213 N = 290,0783
Status
    Ranked 200,305 (49%) 290,078 (64%)
    ThePathOfChampions 115,512 (28%) 96,816 (21%)
    Other 85,813 (21%) 62,044 (14%)
    Friendly Bo3 4,771 (1.2%) 1,404 (0.3%)
    Labs 4,538 (1.1%) 3,579 (0.8%)
Server
    Americas 159,698 (39%) 77,876 (39%) 165,917 (37%) 110,843 (38%)
    Apac 118,898 (29%) 53,520 (27%) 133,582 (29%) 78,452 (27%)
    Europe 132,343 (32%) 68,909 (34%) 154,422 (34%) 100,783 (35%)
1 Max datetime recovered: 2022-11-23 16:29:00.219677 UTC from 2022-11-16 18:00:00 to 2022-11-23 18:00:00 UTC
2 EU Master 3879/3890 NA Master 4618/0 APAC Master 2959/2969
3 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 4,618 (19%) 2,959 (12%) 3,879 (16%) 11,456 (46%)
    Diamond 4,967 (20%) 3,732 (15%) 4,525 (18%) 13,224 (54%)
Total 9,585 (39%) 6,691 (27%) 8,404 (34%) 24,680 (100%)

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
Freq Shard
America Apac Europe
Regions
ShadowIsles 17.19% 17.16% 15.61% 18.45%
Piltover 12.84% 12.39% 13.02% 13.19%
Noxus 11.69% 11.55% 10.93% 12.44%
BandleCity 9.50% 9.34% 9.31% 9.83%
Freljord 8.61% 9.47% 9.25% 7.14%
MtTargon 8.10% 8.54% 7.42% 8.14%
Demacia 7.49% 7.24% 8.34% 7.11%
Shurima 7.40% 7.21% 7.62% 7.43%
Bilgewater 6.14% 6.11% 6.62% 5.81%
Ionia 4.22% 4.06% 4.73% 4.00%
Runeterra
Kayn 2.69% 2.61% 2.98% 2.57%
Varus 1.62% 1.55% 1.80% 1.57%
Jhin 1.30% 1.39% 1.24% 1.25%
Evelynn 0.43% 0.57% 0.36% 0.33%
Jax 0.39% 0.41% 0.41% 0.34%
Bard 0.38% 0.41% 0.34% 0.39%
total 6.82% 6.93% 7.13% 6.45%
Patch 3.19 - Week 2 Ranked games from 2022-11-16 18:00:00 UTC to 2022-11-23 18:00:00 UTC Source: Metadata of games collected with RiotGames API Last Update: 2022-11-23 17:14:18.030178

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
Freq Shard
America Apac Europe
Regions
ShadowIsles 15.47% 15.14% 14.30% 16.73%
Piltover 14.92% 14.36% 15.02% 15.48%
Noxus 10.10% 9.95% 9.43% 10.79%
Freljord 9.07% 10.37% 9.03% 7.63%
MtTargon 8.78% 9.45% 7.85% 8.74%
BandleCity 8.70% 8.53% 8.27% 9.22%
Shurima 8.12% 7.89% 8.55% 8.05%
Runeterra 7.37% 7.36% 7.76% 7.07%
Demacia 7.14% 6.85% 8.12% 6.71%
Bilgewater 6.14% 6.13% 6.61% 5.80%
Ionia 4.19% 3.97% 5.04% 3.77%
Patch 3.19 - Week 2 Ranked games from 2022-11-16 18:00:00 UTC to 2022-11-23 18:00:00 UTC Source: Metadata of games collected with RiotGames API Last Update: 2022-11-23 17:14:18.030178

Champions Combinations

Play Rates

Plot

from Master

Source: Metadata of games collected with RiotGames API. Last Update: 2022-11-23 17:34:23.719566 FALSE

from Diamond

Source: Metadata of games collected with RiotGames API. Last Update: 2022-11-23 17:34:24.33091 FALSE

Day by day

Hourly/Dialy lines

Stacked Playrates

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

Stacked Games

Win Rates

Meta Decks

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

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

Underdog

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

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) Teemo/Zoe (BC/MT) Gwen/Katarina (NX/SI) Kayn/Vayne (DE/RU) Trundle/Tryndamere (FR/SI) Annie/Twisted Fate (BW/NX) Seraphine/Viktor (PZ/SI) Annie/Jhin (NX/RU) Taliyah/Ziggs (BC/SH) Heimerdinger/Jayce (PZ/SI) Ekko/Jinx (PZ/SH)
Teemo/Zoe (BC/MT)
55.4%
49.9%
NA
NA
49.6%
(46.7% - 52.4%)
51.3%
(48.3% - 54.4%)
45.7%
(42.5% - 48.8%)
38.3%
(34.4% - 42.3%)
44.6%
(40.6% - 48.7%)
35.0%
(31.2% - 39.0%)
65.9%
(61.7% - 69.9%)
44.5%
(40.1% - 48.9%)
56.3%
(51.7% - 60.8%)
Gwen/Katarina (NX/SI)
57.1%
53.9%
50.4%
(47.6% - 53.3%)
NA
NA
51.5%
(48.5% - 54.5%)
59.0%
(55.7% - 62.3%)
54.3%
(50.5% - 58.2%)
62.2%
(58.4% - 65.9%)
59.6%
(55.0% - 64.1%)
51.5%
(47.0% - 56.0%)
62.4%
(57.8% - 66.8%)
50.2%
(45.3% - 55.1%)
Kayn/Vayne (DE/RU)
55.3%
51.0%
48.7%
(45.6% - 51.7%)
48.5%
(45.5% - 51.5%)
NA
NA
54.0%
(50.3% - 57.6%)
40.0%
(35.8% - 44.4%)
50.4%
(46.0% - 54.7%)
45.2%
(40.5% - 49.9%)
59.7%
(54.7% - 64.6%)
53.9%
(48.7% - 59.0%)
61.7%
(56.2% - 66.9%)
Trundle/Tryndamere (FR/SI)
52.4%
50.0%
54.3%
(51.2% - 57.5%)
41.0%
(37.7% - 44.3%)
46.0%
(42.4% - 49.7%)
NA
NA
65.3%
(60.9% - 69.5%)
61.6%
(57.2% - 66.0%)
52.3%
(47.2% - 57.3%)
38.1%
(33.2% - 43.3%)
56.7%
(51.2% - 62.2%)
53.9%
(48.1% - 59.5%)
Annie/Twisted Fate (BW/NX)
53.2%
51.4%
61.7%
(57.7% - 65.6%)
45.7%
(41.8% - 49.5%)
60.0%
(55.6% - 64.2%)
34.7%
(30.5% - 39.1%)
NA
NA
42.1%
(36.9% - 47.4%)
53.9%
(47.4% - 60.3%)
46.2%
(40.0% - 52.4%)
59.9%
(53.3% - 66.3%)
50.0%
(43.4% - 56.6%)
Seraphine/Viktor (PZ/SI)
50.9%
49.0%
55.4%
(51.3% - 59.4%)
37.8%
(34.1% - 41.6%)
49.6%
(45.3% - 54.0%)
38.4%
(34.0% - 42.8%)
57.9%
(52.6% - 63.1%)
NA
NA
62.5%
(55.7% - 69.0%)
36.8%
(30.6% - 43.3%)
63.2%
(56.8% - 69.3%)
57.4%
(50.3% - 64.2%)
Annie/Jhin (NX/RU)
54.3%
50.7%
65.0%
(61.0% - 68.8%)
40.4%
(35.9% - 45.0%)
54.8%
(50.1% - 59.5%)
47.7%
(42.7% - 52.8%)
46.1%
(39.7% - 52.6%)
37.5%
(31.0% - 44.3%)
NA
NA
58.3%
(51.1% - 65.2%)
38.4%
(31.8% - 45.3%)
35.4%
(28.4% - 42.9%)
Taliyah/Ziggs (BC/SH)
52.3%
48.5%
34.1%
(30.1% - 38.3%)
48.5%
(44.0% - 53.0%)
40.3%
(35.4% - 45.3%)
61.9%
(56.7% - 66.8%)
53.8%
(47.6% - 60.0%)
63.2%
(56.7% - 69.4%)
41.7%
(34.8% - 48.9%)
NA
NA
49.3%
(42.2% - 56.3%)
50.0%
(43.0% - 57.0%)
Heimerdinger/Jayce (PZ/SI)
50.9%
47.8%
55.5%
(51.1% - 59.9%)
37.6%
(33.2% - 42.2%)
46.1%
(41.0% - 51.3%)
43.3%
(37.8% - 48.8%)
40.1%
(33.7% - 46.7%)
36.8%
(30.7% - 43.2%)
61.6%
(54.7% - 68.2%)
50.7%
(43.7% - 57.8%)
NA
NA
55.7%
(48.2% - 63.0%)
Ekko/Jinx (PZ/SH)
50.6%
48.4%
43.7%
(39.2% - 48.3%)
49.8%
(44.9% - 54.7%)
38.3%
(33.1% - 43.8%)
46.1%
(40.5% - 51.9%)
50.0%
(43.4% - 56.6%)
42.6%
(35.8% - 49.7%)
64.6%
(57.1% - 71.6%)
50.0%
(43.0% - 57.0%)
44.3%
(37.0% - 51.8%)
NA
NA
MatchUp values from Ranked games of Master rank players. Order of the Archetypess 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 \(\geq\) 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
EVO Yargo 17 Teemo/Zoe (BC/MT)
Faryegun 16 Pack Your Catalogue (NX/SI)
kimrebell 16 Trundle/Tryndamere (FR/SI)
nonprophet 16 Annie/Jhin (NX/RU)
Apac
DSKINPISKCOOL 19 Jinx/Lulu (BC/PZ)
Flojo 18 Seraphine/Viktor (PZ/SI)
AFTV깜동 14 Kayn/Vayne (DE/RU)
pisukaru 14 Zilean (BW/SH)
하얀마법사 14 Aurelion Sol/Tryndamere (FR/MT)
嘉然今天吃什么 14 Gangplank/Sejuani (BW/FR)
Europe
KeTAleX 17 Heimerdinger/Jayce (PZ/SI)
Initium 15 Kayn/Vayne (DE/RU)
djinni2 14 Gwen/Katarina (NX/SI)
javardo 14 Norra/Veigar (BC/SI)
LFR Vladestiny 14 Gwen/Katarina (NX/SI)
ROKOHASTER 14 Elise/Gwen (NX/SI)
thatisonlysmurf 14 Teemo/Zoe (BC/MT)
VasquiniLXIX 14 Annie/Jhin (NX/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)

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
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

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↩︎

© 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.