THE META REPORT NAME IS TOO LONG, TOO DAMN LONG (n°84)

Patch 3.19 - Week 1 - Start of World Tournament 2022 - Battle-fly me to the World

Valentino (Legna) Vazzoler
2022-11-16

Data

Number of Master Players: 8792

Number of HighDiamond 1 Players: 11375

Number of (Ranked) Master matches analysed 202044 or 404088 games.

Number of (Ranked) ~HighDiamond matches analysed 323766 or 647532 games.

Last Update: 2022-11-16 18:08

Games

Patch 3.19 - Week 1 - by the Numbers1
Characteristic Master2 ~HighDiamond2
N = 388,0673 N = 202,0443 N = 507,1663 N = 323,7663
Status
    Ranked 202,044 (52%) 323,766 (64%)
    ThePathOfChampions 97,216 (25%) 103,791 (20%)
    Other 81,358 (21%) 74,635 (15%)
    Friendly Bo3 3,951 (1.0%) 1,637 (0.3%)
    Labs 3,498 (0.9%) 3,337 (0.7%)
Server
    Americas 153,742 (40%) 79,009 (39%) 189,211 (37%) 125,090 (39%)
    Apac 109,054 (28%) 52,936 (26%) 145,515 (29%) 86,444 (27%)
    Europe 125,271 (32%) 70,099 (35%) 172,440 (34%) 112,232 (35%)
1 Max datetime recovered: 2022-11-16 15:42:23.885393 UTC from 2022-11-09 18:00:00 to 2022-11-16 18:00:00 UTC
2 EU Master 2973/2985 NA Master 3522/3538 APAC Master 2297/2297
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 3,522 (17%) 2,297 (11%) 2,973 (15%) 8,792 (44%)
    Diamond 4,275 (21%) 3,243 (16%) 3,857 (19%) 11,375 (56%)
Total 7,797 (39%) 5,540 (27%) 6,830 (34%) 20,167 (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 15.68% 15.29% 14.71% 16.87%
Piltover 13.93% 13.77% 13.88% 14.14%
Noxus 12.37% 12.35% 11.95% 12.71%
BandleCity 10.29% 9.90% 10.22% 10.77%
MtTargon 8.35% 8.52% 8.83% 7.81%
Shurima 8.03% 8.69% 7.91% 7.36%
Freljord 7.83% 7.50% 8.54% 7.66%
Demacia 6.79% 7.01% 7.12% 6.29%
Bilgewater 6.37% 6.15% 6.84% 6.26%
Ionia 4.17% 4.05% 4.39% 4.12%
Runeterra
Varus 1.75% 2.01% 1.54% 1.62%
Jhin 1.68% 1.72% 1.66% 1.65%
Kayn 0.98% 1.22% 0.74% 0.89%
Jax 0.83% 0.86% 0.89% 0.76%
Evelynn 0.56% 0.63% 0.40% 0.61%
Bard 0.39% 0.34% 0.38% 0.46%
total 6.20% 6.77% 5.61% 6.00%
Patch 3.19 - Week 1 Ranked games from 2022-11-09 18:00:00 UTC to 2022-11-16 18:00:00 UTC Source: Metadata of games collected with RiotGames API Last Update: 2022-11-16 17:06:03.659883

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
Piltover 15.61% 15.22% 15.75% 15.96%
ShadowIsles 14.21% 14.05% 13.36% 15.04%
Noxus 10.90% 10.76% 10.68% 11.21%
BandleCity 9.85% 9.42% 9.63% 10.49%
MtTargon 9.33% 9.63% 9.76% 8.66%
Shurima 8.89% 9.53% 8.87% 8.18%
Freljord 8.11% 7.88% 8.47% 8.11%
Demacia 6.77% 7.01% 6.86% 6.42%
Runeterra 6.49% 7.03% 5.92% 6.31%
Bilgewater 5.78% 5.55% 6.21% 5.72%
Ionia 4.06% 3.93% 4.49% 3.89%
Patch 3.19 - Week 1 Ranked games from 2022-11-09 18:00:00 UTC to 2022-11-16 18:00:00 UTC Source: Metadata of games collected with RiotGames API Last Update: 2022-11-16 17:06:03.659883

Champions Combinations

Play Rates

Plot

from Master

Source: Metadata of games collected with RiotGames API. Last Update: 2022-11-16 17:10:25.224487 FALSE

from Diamond

Source: Metadata of games collected with RiotGames API. Last Update: 2022-11-16 17:10:25.73959 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) Draven/Jinx (NX/PZ) Annie/Jhin (NX/RU) Ekko/Jinx (PZ/SH) Heimerdinger/Jayce (PZ/SI) Annie/Twisted Fate (BW/NX) Trundle/Tryndamere (FR/SI) Gwen/Katarina (NX/SI) Seraphine/Viktor (PZ/SI) Quinn/Vayne (DE/PZ)
Teemo/Zoe (BC/MT)
56.6%
52.8%
NA
NA
41.9%
(39.1% - 44.8%)
40.4%
(37.0% - 43.9%)
54.2%
(50.5% - 57.8%)
40.9%
(37.0% - 45.0%)
36.2%
(32.1% - 40.5%)
45.3%
(41.2% - 49.5%)
54.2%
(49.8% - 58.6%)
42.4%
(38.1% - 46.8%)
52.0%
(47.5% - 56.4%)
Draven/Jinx (NX/PZ)
52.8%
51.8%
58.1%
(55.2% - 60.9%)
NA
NA
61.8%
(57.8% - 65.7%)
41.1%
(36.6% - 45.7%)
37.1%
(32.0% - 42.5%)
37.6%
(32.6% - 42.8%)
33.4%
(28.4% - 38.8%)
53.2%
(47.9% - 58.4%)
30.1%
(24.8% - 35.9%)
52.7%
(47.3% - 58.1%)
Annie/Jhin (NX/RU)
51.7%
49.3%
59.6%
(56.1% - 63.0%)
38.2%
(34.3% - 42.2%)
NA
NA
32.0%
(26.9% - 37.4%)
32.2%
(26.5% - 38.2%)
42.5%
(35.9% - 49.3%)
43.7%
(37.6% - 49.8%)
42.3%
(36.1% - 48.8%)
36.7%
(30.1% - 43.7%)
38.1%
(32.2% - 44.3%)
Ekko/Jinx (PZ/SH)
52.8%
50.7%
45.8%
(42.2% - 49.5%)
58.9%
(54.3% - 63.4%)
68.0%
(62.6% - 73.1%)
NA
NA
39.9%
(34.4% - 45.6%)
49.5%
(43.7% - 55.3%)
42.9%
(37.1% - 48.8%)
56.4%
(49.5% - 63.0%)
42.1%
(35.9% - 48.5%)
50.2%
(43.2% - 57.3%)
Heimerdinger/Jayce (PZ/SI)
54.5%
51.2%
59.1%
(55.0% - 63.0%)
62.9%
(57.5% - 68.0%)
67.8%
(61.8% - 73.5%)
60.1%
(54.4% - 65.6%)
NA
NA
44.5%
(38.3% - 50.8%)
48.7%
(42.2% - 55.3%)
35.7%
(28.5% - 43.3%)
34.2%
(28.0% - 40.9%)
42.3%
(34.9% - 50.0%)
Annie/Twisted Fate (BW/NX)
53.9%
52.3%
63.8%
(59.5% - 67.9%)
62.4%
(57.2% - 67.4%)
57.5%
(50.7% - 64.1%)
50.5%
(44.7% - 56.3%)
55.5%
(49.2% - 61.7%)
NA
NA
35.2%
(28.8% - 41.9%)
53.2%
(45.5% - 60.8%)
42.6%
(36.1% - 49.3%)
54.0%
(45.7% - 62.2%)
Trundle/Tryndamere (FR/SI)
54.9%
52.1%
54.7%
(50.5% - 58.8%)
66.6%
(61.2% - 71.6%)
56.3%
(50.2% - 62.4%)
57.1%
(51.2% - 62.9%)
51.3%
(44.7% - 57.8%)
64.8%
(58.1% - 71.2%)
NA
NA
42.3%
(34.4% - 50.5%)
61.0%
(53.3% - 68.4%)
39.1%
(30.9% - 47.8%)
Gwen/Katarina (NX/SI)
55.0%
52.2%
45.8%
(41.4% - 50.2%)
46.8%
(41.6% - 52.1%)
57.7%
(51.2% - 63.9%)
43.6%
(37.0% - 50.5%)
64.3%
(56.7% - 71.5%)
46.8%
(39.2% - 54.5%)
57.7%
(49.5% - 65.6%)
NA
NA
62.6%
(54.5% - 70.2%)
47.0%
(38.8% - 55.3%)
Seraphine/Viktor (PZ/SI)
54.4%
52.8%
57.6%
(53.2% - 61.9%)
69.9%
(64.1% - 75.2%)
63.3%
(56.3% - 69.9%)
57.9%
(51.5% - 64.1%)
65.8%
(59.1% - 72.0%)
57.4%
(50.7% - 63.9%)
39.0%
(31.6% - 46.7%)
37.4%
(29.8% - 45.5%)
NA
NA
40.5%
(32.7% - 48.7%)
Quinn/Vayne (DE/PZ)
55.0%
52.6%
48.0%
(43.6% - 52.5%)
47.3%
(41.9% - 52.7%)
61.9%
(55.7% - 67.8%)
49.8%
(42.7% - 56.8%)
57.7%
(50.0% - 65.1%)
46.0%
(37.8% - 54.3%)
60.9%
(52.2% - 69.1%)
53.0%
(44.7% - 61.2%)
59.5%
(51.3% - 67.3%)
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 \(\geq\) 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
Swiss Voulge 16 Ekko/Jinx (PZ/SH)
AtomicScanMan 15 Jinx/Lulu (BC/PZ)
SilverhawkLOR 15 Miss Fortune/Swain (BW/NX)
ThChEm 15 Teemo/Zoe (BC/MT)
Apac
CKG 来点薩勒芬妮色圖 17 Teemo/Zoe (BC/MT)
KurapikTz 16 Teemo/Zoe (BC/MT)
lnwTAN 15 Anivia (FR/SI)
ňtnnthree 15 Pantheon/Varus (MT/RU)
明明弱鸡却过分嚣张 15 Seraphine/Viktor (PZ/SI)
Europe
Matuqa 17 Jinx/Lulu (BC/PZ)
sdownexe 17 Pantheon/Vayne (DE/MT)
belgarion65 16 Pack Your Catalogue (NX/SI)
LFR Shunpo 16 Seraphine/Viktor (IO/PZ)
ThΦR 16 Pantheon/Varus (MT/RU)
卢本伟 16 Teemo/Zoe (BC/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 (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↩︎