THE META REPORT NAME IS TOO LONG, TOO DAMN LONG (n°76)

Patch 3.15 - Week 1 - I draw ny line here. I report whatever the rank I want! (semicit)


Author

Affiliation

Valentino (Legna) Vazzoler

 

Published

Sept. 20, 2022

DOI


Data

Number of Master Players: 4272

Number of HighDiamond

HighDiamond are defined as “players who played against Master player in a Ranked games but are not Master themselves”
1 Players: 6893

Number of (Ranked) Master matches analysed 129935 or 259870 games.

Number of (Ranked) ~HighDiamond matches analysed 306913 or 613826 games.

Last Update: 2022-09-21 17:44

Patch 3.15 - Week 1 - by the Numbers1
Characteristic Master2 ~HighDiamond2
N = 229,0093 N = 129,9353 N = 436,4083 N = 306,9133
Status
Ranked 129,935 (57%) 306,913 (70%)
ThePathOfChampions 54,084 (24%) 79,942 (18%)
Other 41,219 (18%) 45,405 (10%)
Friendly Bo3 2,274 (1.0%) 1,507 (0.3%)
Labs 1,497 (0.7%) 2,641 (0.6%)
Server
Americas 86,981 (38%) 49,660 (38%) 162,340 (37%) 114,534 (37%)
Apac 71,456 (31%) 36,781 (28%) 129,454 (30%) 87,961 (29%)
Europe 70,572 (31%) 43,494 (33%) 144,614 (33%) 104,418 (34%)
1 Max datetime recovered: 2022-09-21 14:52:48.41445 UTC from 2022-09-14 18:00:00 to 2022-09-21 18:00:00 UTC
2 EU Master 1414/1415 NA Master 1619/1626 APAC Master 1239/1242
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 1,619 (15%) 1,239 (11%) 1,414 (13%) 4,272 (38%)
Diamond 2,567 (23%) 2,016 (18%) 2,310 (21%) 6,893 (62%)
Total 4,186 (37%) 3,255 (29%) 3,724 (33%) 11,165 (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
ShadowIsles 16.83% 16.69% 17.88% 16.10%
Bilgewater 15.01% 15.63% 13.48% 15.60%
Freljord 9.86% 9.76% 9.45% 10.34%
Ionia 9.30% 9.27% 8.91% 9.65%
Piltover 8.71% 8.13% 8.99% 9.14%
Shurima 8.69% 9.04% 9.56% 7.56%
Noxus 8.62% 8.30% 8.19% 9.36%
BandleCity 7.74% 8.07% 8.43% 6.77%
Demacia 5.95% 5.88% 6.44% 5.62%
MtTargon 5.34% 5.22% 5.24% 5.56%
Runeterra
Evelynn 1.67% 1.77% 1.17% 1.98%
Kayn 0.87% 0.94% 0.86% 0.81%
Jax 0.79% 0.70% 0.97% 0.76%
Bard 0.34% 0.33% 0.15% 0.52%
Jhin 0.26% 0.26% 0.29% 0.24%
total 3.94% 4.00% 3.44% 4.30%
Patch 3.15 - Week 1 Ranked games from 2022-09-14 18:00:00 UTC to 2022-09-21 18:00:00 UTC Source: Metadata of games collected with RiotGames API Last Update: 2022-09-21 15:40:47.980072

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 18.82% 19.78% 16.61% 19.59%
ShadowIsles 18.38% 17.99% 19.70% 17.70%
Ionia 10.34% 10.37% 10.03% 10.56%
Piltover 7.96% 7.44% 8.03% 8.50%
BandleCity 7.94% 8.37% 8.67% 6.82%
Shurima 7.92% 8.12% 8.72% 7.03%
Noxus 7.36% 7.14% 6.99% 7.92%
Freljord 6.84% 6.51% 6.75% 7.28%
Demacia 5.96% 5.93% 6.38% 5.65%
MtTargon 5.23% 5.10% 5.11% 5.48%
Runeterra 3.26% 3.24% 3.02% 3.48%
Patch 3.15 - Week 1 Ranked games from 2022-09-14 18:00:00 UTC to 2022-09-21 18:00:00 UTC Source: Metadata of games collected with RiotGames API Last Update: 2022-09-21 15:40:47.980072

Champions Combinations

Play Rates

Champions
Play Rate
America
Apac
Europe
Pirates (BW/NX)
8.3%
8.2%
6.6%
9.9%
Heimerdinger/Norra (BC/SI)
7.8%
7.0%
9.5%
7.2%
Gangplank/Sejuani (BW/FR)
7.5%
8.1%
7.0%
7.4%
Trundle Timelines (FR/PZ)
5.0%
4.3%
4.9%
5.9%
Gwen/Katarina (NX/SI)
4.6%
3.9%
5.3%
4.8%
Kindred/Nasus (SI/SH)
3.7%
4.1%
4.6%
2.6%
Nami/Twisted Fate (BW/IO)
3.6%
3.6%
3.0%
4.0%
Evelynn/Viego (RU/SI)
3.1%
3.3%
2.2%
3.8%
Poppy/Taric (DE/MT)
3.1%
2.6%
3.3%
3.3%
Ezreal/Kennen (IO/PZ)
2.3%
2.1%
2.8%
2.2%
Akshan/Lee Sin (IO/SH)
2.0%
2.3%
1.7%
2.0%
Karma/Viktor (IO/PZ)
1.9%
2.0%
1.4%
2.3%
Pyke/Rek'Sai (BW/SH)
1.7%
1.3%
1.7%
2.0%
Miss Fortune/Quinn (BW/DE)
1.6%
1.6%
2.0%
1.2%
Lulu/Poppy (BC/DE)
1.5%
2.0%
1.1%
1.2%
Thresh/Viego (IO/SI)
1.3%
1.1%
1.2%
1.7%
Gwen/Sejuani (FR/SI)
1.3%
1.1%
1.2%
1.5%
Aurelion Sol/Zoe (FR/MT)
1.2%
1.3%
1.1%
1.1%
Lee Sin/Nami (BW/IO)
1.2%
1.2%
1.4%
0.9%
Nami/Twisted Fate (BW/SI)
1.1%
0.9%
1.1%
1.4%
1–20 of 2107 rows
...

Source: Metadata of games collected with RiotGames API. Last Update: 2022-09-21 15:45:23.271054 FALSE

Champions
Play Rate
America
Apac
Europe
Pirates (BW/NX)
7.7%
7.7%
6.2%
9.0%
Heimerdinger/Norra (BC/SI)
7.5%
6.9%
9.0%
6.9%
Gangplank/Sejuani (BW/FR)
5.4%
5.8%
4.9%
5.4%
Kindred/Nasus (SI/SH)
5.2%
5.9%
5.5%
4.0%
Trundle Timelines (FR/PZ)
4.9%
4.0%
5.1%
5.7%
Gwen/Katarina (NX/SI)
4.6%
4.1%
5.1%
4.7%
Poppy/Taric (DE/MT)
3.3%
2.7%
3.8%
3.4%
Evelynn/Viego (RU/SI)
3.2%
3.3%
2.8%
3.4%
Ezreal/Kennen (IO/PZ)
2.4%
2.5%
2.7%
2.2%
Nami/Twisted Fate (BW/IO)
2.3%
2.2%
2.0%
2.7%
Pyke/Rek'Sai (BW/SH)
1.9%
1.5%
2.1%
2.0%
Karma/Viktor (IO/PZ)
1.4%
1.6%
0.8%
1.7%
Aurelion Sol/Zoe (FR/MT)
1.4%
1.5%
1.4%
1.2%
Akshan/Lee Sin (IO/SH)
1.4%
1.5%
1.4%
1.2%
Miss Fortune/Quinn (BW/DE)
1.3%
1.6%
1.3%
0.9%
Pantheon/Yuumi (DE/MT)
1.3%
1.4%
1.2%
1.1%
Gwen/Sejuani (FR/SI)
1.3%
1.4%
1.1%
1.2%
Jax/Vi (PZ/RU)
1.2%
1.3%
1.4%
0.8%
Caitlyn/Teemo (BC/PZ)
1.2%
1.0%
1.2%
1.3%
Senna/Veigar (BC/SI)
1.1%
1.2%
1.1%
0.9%
1–20 of 3974 rows
...

Source: Metadata of games collected with RiotGames API. Last Update: 2022-09-21 15:45:23.843163 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
Pirates (BW/NX)
54.1%
11655
21559
8.3%
(53.4% - 54.7%)
Heimerdinger/Norra (BC/SI)
50.5%
10168
20153
7.8%
(49.8% - 51.1%)
Gangplank/Sejuani (BW/FR)
54.8%
10743
19600
7.5%
(54.1% - 55.5%)
Trundle Timelines (FR/PZ)
51.7%
6733
13029
5.0%
(50.8% - 52.5%)
Gwen/Katarina (NX/SI)
53.4%
6386
11960
4.6%
(52.5% - 54.3%)
Kindred/Nasus (SI/SH)
49.6%
4812
9694
3.7%
(48.6% - 50.6%)
Nami/Twisted Fate (BW/IO)
54.4%
5032
9257
3.6%
(53.3% - 55.4%)
Evelynn/Viego (RU/SI)
53.6%
4385
8177
3.1%
(52.5% - 54.7%)
Poppy/Taric (DE/MT)
52.9%
4193
7927
3.1%
(51.8% - 54.0%)
Ezreal/Kennen (IO/PZ)
52.2%
3157
6045
2.3%
(51.0% - 53.5%)
Akshan/Lee Sin (IO/SH)
53.3%
2810
5272
2.0%
(51.9% - 54.7%)
Karma/Viktor (IO/PZ)
48.2%
2419
5016
1.9%
(46.8% - 49.6%)
Pyke/Rek'Sai (BW/SH)
49.6%
2136
4304
1.7%
(48.1% - 51.1%)
Miss Fortune/Quinn (BW/DE)
53.2%
2177
4092
1.6%
(51.7% - 54.7%)
Lulu/Poppy (BC/DE)
50.9%
1962
3851
1.5%
(49.4% - 52.5%)
Thresh/Viego (IO/SI)
54.8%
1883
3438
1.3%
(53.1% - 56.4%)
Gwen/Sejuani (FR/SI)
52.2%
1705
3268
1.3%
(50.4% - 53.9%)
Aurelion Sol/Zoe (FR/MT)
47.0%
1449
3081
1.2%
(45.3% - 48.8%)
Lee Sin/Nami (BW/IO)
58.9%
1780
3024
1.2%
(57.1% - 60.6%)
Nami/Twisted Fate (BW/SI)
54.7%
1571
2870
1.1%
(52.9% - 56.6%)
Senna/Veigar (BC/SI)
50.3%
1400
2784
1.1%
(48.4% - 52.2%)
Akshan/Pantheon (MT/SH)
52.4%
1384
2642
1.0%
(50.5% - 54.3%)

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)
56.2%
985
1753
0.7%
(53.8% - 58.5%)
Norra/Veigar (BC/SI)
55.5%
808
1455
0.6%
(52.9% - 58.1%)
Akshan/Nasus (SI/SH)
54.3%
350
644
0.2%
(50.4% - 58.2%)
Akshan/Sivir (DE/SH)
54.3%
545
1004
0.4%
(51.1% - 57.4%)
Hecarim/Zed (IO/SI)
53.7%
223
415
0.2%
(48.8% - 58.6%)
Elise/Gwen (NX/SI)
53.3%
232
435
0.2%
(48.5% - 58.1%)
Akshan/Kai'Sa (DE/SH)
53.0%
188
355
0.1%
(47.6% - 58.2%)
ASZ - Sivir Ionia
52.7%
156
296
0.1%
(46.8% - 58.5%)
Plunder Pandemonium (BW/SI)
52.7%
810
1537
0.6%
(50.2% - 55.2%)
Kai'Sa (DE/SH)
52.0%
1150
2212
0.9%
(49.9% - 54.1%)
Elise/Gwen (PZ/SI)
51.2%
199
389
0.1%
(46.1% - 56.2%)
Jax (PZ/RU)
50.9%
144
283
0.1%
(44.9% - 56.8%)
Trundle/Tryndamere (FR/SI)
50.4%
729
1447
0.6%
(47.8% - 53.0%)
Aphelios/Diana (MT/SI)
50.3%
164
326
0.1%
(44.7% - 55.9%)
Aurelion Sol/Trundle (FR/MT)
50.2%
275
548
0.2%
(45.9% - 54.4%)
Bard/Leona (MT/RU)
50.2%
141
281
0.1%
(44.2% - 56.2%)
Akshan/Twisted Fate (BW/SH)
50.1%
888
1773
0.7%
(47.7% - 52.4%)
Maokai/Nautilus (BW/SI)
50.1%
454
907
0.3%
(46.8% - 53.4%)

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) Pirates (BW/NX) Heimerdinger/Norra (BC/SI) Gangplank/Sejuani (BW/FR) Trundle Timelines (FR/PZ) Gwen/Katarina (NX/SI) Kindred/Nasus (SI/SH) Nami/Twisted Fate (BW/IO) Evelynn/Viego (RU/SI) Poppy/Taric (DE/MT) Ezreal/Kennen (IO/PZ)
Pirates (BW/NX)
54.1%
51.6%
NA
NA
42.5%
(40.1% - 44.9%)
38.4%
(35.9% - 41.0%)
56.1%
(53.2% - 59.0%)
51.5%
(48.4% - 54.6%)
62.9%
(59.4% - 66.3%)
46.7%
(43.2% - 50.2%)
45.7%
(41.9% - 49.6%)
62.1%
(58.3% - 65.8%)
60.5%
(55.9% - 64.8%)
Heimerdinger/Norra (BC/SI)
50.5%
48.6%
57.5%
(55.1% - 59.9%)
NA
NA
51.1%
(48.3% - 53.8%)
30.4%
(27.7% - 33.3%)
47.5%
(44.3% - 50.7%)
54.3%
(50.7% - 57.9%)
42.8%
(39.1% - 46.5%)
52.0%
(48.0% - 55.9%)
46.7%
(42.9% - 50.6%)
55.2%
(50.7% - 59.7%)
Gangplank/Sejuani (BW/FR)
54.8%
53.2%
61.6%
(59.0% - 64.1%)
48.9%
(46.2% - 51.7%)
NA
NA
55.0%
(51.8% - 58.3%)
54.8%
(51.2% - 58.3%)
60.5%
(56.9% - 63.9%)
50.5%
(46.9% - 54.1%)
38.4%
(34.7% - 42.2%)
52.0%
(48.0% - 56.1%)
52.7%
(47.8% - 57.6%)
Trundle Timelines (FR/PZ)
51.7%
48.8%
43.9%
(41.0% - 46.8%)
69.6%
(66.7% - 72.3%)
45.0%
(41.7% - 48.2%)
NA
NA
48.6%
(44.6% - 52.8%)
46.4%
(41.7% - 51.2%)
36.0%
(31.6% - 40.6%)
56.6%
(51.6% - 61.5%)
46.4%
(41.5% - 51.4%)
38.5%
(33.2% - 44.0%)
Gwen/Katarina (NX/SI)
53.4%
50.0%
48.5%
(45.4% - 51.6%)
52.5%
(49.3% - 55.7%)
45.2%
(41.7% - 48.8%)
51.4%
(47.2% - 55.4%)
NA
NA
54.7%
(50.2% - 59.2%)
51.4%
(46.5% - 56.3%)
42.1%
(37.2% - 47.2%)
48.0%
(42.8% - 53.2%)
46.3%
(40.5% - 52.1%)
Kindred/Nasus (SI/SH)
49.6%
45.5%
37.1%
(33.7% - 40.6%)
45.7%
(42.1% - 49.3%)
39.5%
(36.1% - 43.1%)
53.6%
(48.8% - 58.3%)
45.3%
(40.8% - 49.8%)
NA
NA
53.9%
(48.0% - 59.7%)
41.8%
(36.2% - 47.6%)
55.5%
(49.4% - 61.5%)
34.3%
(28.4% - 40.5%)
Nami/Twisted Fate (BW/IO)
54.4%
51.4%
53.3%
(49.8% - 56.8%)
57.2%
(53.5% - 60.9%)
49.5%
(45.9% - 53.1%)
64.0%
(59.4% - 68.4%)
48.6%
(43.7% - 53.5%)
46.1%
(40.3% - 52.0%)
NA
NA
56.7%
(50.9% - 62.4%)
33.3%
(27.6% - 39.4%)
45.4%
(39.1% - 51.8%)
Evelynn/Viego (RU/SI)
53.6%
52.3%
54.3%
(50.4% - 58.1%)
48.0%
(44.1% - 52.0%)
61.6%
(57.8% - 65.3%)
43.4%
(38.5% - 48.4%)
57.9%
(52.8% - 62.8%)
58.2%
(52.4% - 63.8%)
43.3%
(37.6% - 49.1%)
NA
NA
52.6%
(46.2% - 58.9%)
46.7%
(39.4% - 54.2%)
Poppy/Taric (DE/MT)
52.9%
50.1%
37.9%
(34.2% - 41.7%)
53.3%
(49.4% - 57.1%)
48.0%
(43.9% - 52.0%)
53.6%
(48.6% - 58.5%)
52.0%
(46.8% - 57.2%)
44.5%
(38.5% - 50.6%)
66.7%
(60.6% - 72.4%)
47.4%
(41.1% - 53.8%)
NA
NA
57.1%
(49.3% - 64.7%)
Ezreal/Kennen (IO/PZ)
52.2%
49.6%
39.5%
(35.2% - 44.1%)
44.8%
(40.3% - 49.3%)
47.3%
(42.4% - 52.2%)
61.5%
(56.0% - 66.8%)
53.7%
(47.9% - 59.5%)
65.7%
(59.5% - 71.6%)
54.6%
(48.2% - 60.9%)
53.3%
(45.8% - 60.6%)
42.9%
(35.3% - 50.7%)
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
Queen Elizabeth 17 Gangplank/Sejuani (BW/FR)
Trivo 16 Gangplank/Sejuani (BW/FR)
FNX Paimera 15 Miss Fortune/Quinn (BW/DE)
leokian 15 Heimerdinger/Norra (BC/SI)
Apac
무결처형 17 Ezreal/Kennen (IO/PZ)
Parsival 15 Thresh/Viego (IO/SI)
CKG 来点格温涩图 14 Viego (SI/SH)
INV DISCO 14 Evelynn/Viego (RU/SI)
Europe
lanetlilimon 15 Nami/Twisted Fate (BW/IO)
Osk 15 Aurelion Sol/Trundle (FR/MT)
CamiIlentee 14 Kindred/Norra (BC/SI)
Eltyr 14 Gwen/Katarina (NX/SI)
Rafael 14 Heimerdinger/Norra (BC/SI)
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.

IO
BC
MT
DE
FR
NX
PZ
SH
Children of the Forest
Yordle Newbie
Porofly
Laurent Duelist
Augur of the Old Ones
Weapons of the Lost
Eminent Benefactor
Ricochet
Sown Seeds
Cloud Stance
Freed Colossus
Reinforcements
Shadow Flare
Tornado Warrior
Spiral Stairs
Loyal Badgerbear
Scaled Snapper
Keeper's Verdict
Shadowshift
Shadows of the Past
Coastal Defender

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[↩]