THE META REPORT NAME IS TOO LONG, TOO DAMN LONG (n°88)

Patch 3.21 - Week 1 - World was hot but so was the meta -fixed


Author

Affiliation

Valentino (Legna) Vazzoler

 

Published

Dec. 13, 2022

DOI


Data

Number of Master Players: 729

Number of HighDiamond

HighDiamond are defined as “players who played against Master player in a Ranked games but are not Master themselves”
1 Players: 2702

Number of (Ranked) Master matches analysed 30486 or 60972 games.

Number of (Ranked) ~HighDiamond matches analysed 148380 or 296760 games.

Last Update: 2022-12-14 19:02

Patch 3.21 - Week 1 - by the Numbers1
Characteristic Master2 ~HighDiamond2
N = 39,6833 N = 30,4863 N = 183,6633 N = 148,3803
Status
    Ranked 30,486 (77%) 148,380 (81%)
    ThePathOfChampions 4,722 (12%) 21,321 (12%)
    Other 3,950 (10.0%) 12,488 (6.8%)
    Friendly Bo3 350 (0.9%) 789 (0.4%)
    Labs 175 (0.4%) 685 (0.4%)
Server
    Americas 15,350 (39%) 11,928 (39%) 75,114 (41%) 60,485 (41%)
    Apac 12,947 (33%) 8,972 (29%) 53,711 (29%) 41,568 (28%)
    Europe 11,386 (29%) 9,586 (31%) 54,838 (30%) 46,327 (31%)
1 Max datetime recovered: 2022-12-14 17:09:39.474898 UTC from 2022-12-07 19:00:00 to 2022-12-14 18:00:00 UTC
2 EU Master 220/220 NA Master 302/304 APAC Master 207/208
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 302 (8.8%) 207 (6.0%) 220 (6.4%) 729 (21%)
    Diamond 1,058 (31%) 745 (22%) 899 (26%) 2,702 (79%)
Total 1,360 (40%) 952 (28%) 1,119 (33%) 3,431 (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
BandleCity 13.81% 12.84% 12.84% 15.91%
Shurima 13.71% 13.18% 13.26% 14.78%
Piltover 12.95% 12.33% 14.47% 12.29%
Demacia 11.32% 11.21% 10.79% 11.96%
Noxus 7.37% 7.84% 7.68% 6.50%
ShadowIsles 5.98% 5.53% 6.95% 5.64%
Ionia 3.59% 3.44% 4.04% 3.34%
Bilgewater 3.55% 3.85% 4.26% 2.51%
MtTargon 3.53% 4.57% 2.96% 2.77%
Freljord 3.49% 3.88% 3.58% 2.92%
Runeterra
Aatrox 10.03% 9.72% 9.38% 11.02%
Kayn 6.54% 6.35% 6.34% 6.98%
Varus 1.50% 2.39% 0.91% 0.94%
Ryze 1.34% 1.49% 1.10% 1.38%
Jhin 0.96% 1.01% 1.08% 0.79%
Bard 0.23% 0.22% 0.25% 0.23%
Evelynn 0.08% 0.13% 0.06% 0.03%
Jax 0.03% 0.02% 0.06% 0.02%
total 20.71% 21.33% 19.17% 21.38%
Patch 3.21 - Week 1 Ranked games from 2022-12-07 19:00:00 UTC to 2022-12-14 18:00:00 UTC Source: Metadata of games collected with RiotGames API Last Update: 2022-12-14 17:36:20.731911

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
Runeterra 19.02% 19.65% 17.73% 19.43%
Shurima 17.48% 16.52% 17.21% 18.93%
Piltover 16.03% 14.95% 18.04% 15.48%
BandleCity 11.06% 10.46% 10.22% 12.61%
Demacia 9.33% 9.05% 8.46% 10.49%
ShadowIsles 6.72% 6.34% 7.70% 6.28%
Noxus 6.47% 7.00% 6.53% 5.76%
MtTargon 3.72% 5.11% 2.81% 2.84%
Bilgewater 3.66% 4.04% 4.44% 2.46%
Freljord 3.45% 3.74% 3.58% 2.96%
Ionia 3.06% 3.15% 3.27% 2.75%
Patch 3.21 - Week 1 Ranked games from 2022-12-07 19:00:00 UTC to 2022-12-14 18:00:00 UTC Source: Metadata of games collected with RiotGames API Last Update: 2022-12-14 17:36:20.731911

Champions Combinations

Play Rates

Champions
Play Rate
America
Apac
Europe
Ziggs (BC/SH)
14.1%
13.1%
13.8%
15.7%
Aatrox/Kayn (RU)
12.5%
12.3%
11.6%
13.6%
Ezreal/Seraphine (BC/PZ)
5.2%
4.5%
6.4%
4.9%
Gwen/Katarina (NX/SI)
4.3%
4.3%
4.2%
4.3%
Draven/Jinx (NX/PZ)
4.0%
4.4%
4.8%
2.7%
Aatrox/Vayne (DE/RU)
3.7%
2.9%
3.0%
5.3%
Jinx (DE/PZ)
3.4%
2.5%
3.7%
4.3%
Jinx/Teemo (DE/PZ)
2.7%
2.6%
3.0%
2.5%
Taliyah/Ziggs (BC/SH)
2.4%
1.7%
0.8%
4.8%
Akshan/Varus (RU/SH)
2.3%
3.6%
1.4%
1.5%
Jinx/Lulu (BC/PZ)
2.0%
2.0%
1.5%
2.5%
Pyke/Rek'Sai (BW/SH)
1.9%
1.8%
2.6%
1.5%
Annie/Jhin (NX/RU)
1.8%
2.0%
1.9%
1.5%
SunDisc
1.8%
1.8%
2.1%
1.6%
Quinn/Vayne (DE/RU)
1.8%
2.4%
1.2%
1.7%
Hecarim/Zed (IO/SI)
1.4%
0.7%
2.8%
1.0%
Gangplank/Sejuani (BW/FR)
1.4%
1.7%
2.0%
0.5%
Aatrox/Akshan (RU/SH)
0.8%
0.4%
1.6%
0.5%
Teemo/Zoe (MT/PZ)
0.7%
1.0%
0.7%
0.3%
Trundle Timelines (FR/PZ)
0.7%
0.6%
0.8%
0.7%
1–20 of 1044 rows
...

Source: Metadata of games collected with RiotGames API. Last Update: 2022-12-14 18:03:36.34348 FALSE

Champions
Play Rate
America
Apac
Europe
Ziggs (BC/SH)
13.2%
12.6%
13.3%
14.0%
Aatrox/Kayn (RU)
13.1%
13.2%
13.1%
13.0%
Jinx (DE/PZ)
4.5%
3.4%
4.0%
6.5%
Gwen/Katarina (NX/SI)
4.1%
4.3%
3.7%
4.3%
Aatrox/Vayne (DE/RU)
3.5%
3.3%
3.6%
3.8%
Jinx/Teemo (DE/PZ)
2.8%
3.4%
2.6%
2.4%
Ezreal/Seraphine (BC/PZ)
2.8%
2.6%
2.7%
3.0%
SunDisc
2.3%
2.3%
3.1%
1.7%
Draven/Jinx (NX/PZ)
2.2%
2.5%
2.6%
1.3%
Annie/Jhin (NX/RU)
2.1%
2.3%
2.0%
1.9%
Pyke/Rek'Sai (BW/SH)
1.7%
1.7%
2.1%
1.4%
Akshan/Varus (RU/SH)
1.7%
2.2%
1.5%
1.1%
Taliyah/Ziggs (BC/SH)
1.6%
1.0%
0.6%
3.3%
Hecarim/Zed (IO/SI)
1.4%
1.4%
2.0%
1.0%
Gangplank/Sejuani (BW/FR)
1.4%
1.3%
1.8%
1.1%
Quinn/Vayne (DE/RU)
1.4%
1.6%
0.8%
1.6%
Jinx/Lulu (BC/PZ)
1.1%
1.1%
0.7%
1.4%
Norra/Teemo (BC/DE)
0.8%
1.3%
0.6%
0.5%
Trundle/Tryndamere (FR/SI)
0.7%
0.7%
0.8%
0.8%
Trundle/Tryndamere (FR/IO)
0.7%
1.0%
1.0%
0.2%
1–20 of 2635 rows
...

Source: Metadata of games collected with RiotGames API. Last Update: 2022-12-14 18:03:36.84922 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
Ziggs (BC/SH)
54.1%
4662
8618
14.1%
(53.0% - 55.2%)
Aatrox/Kayn (RU)
53.5%
4085
7632
12.5%
(52.4% - 54.6%)
Ezreal/Seraphine (BC/PZ)
54.2%
1717
3168
5.2%
(52.4% - 55.9%)
Gwen/Katarina (NX/SI)
49.9%
1296
2595
4.3%
(48.0% - 51.9%)
Draven/Jinx (NX/PZ)
57.4%
1392
2426
4.0%
(55.4% - 59.4%)
Aatrox/Vayne (DE/RU)
57.3%
1301
2269
3.7%
(55.3% - 59.4%)
Jinx (DE/PZ)
47.4%
983
2075
3.4%
(45.2% - 49.5%)
Jinx/Teemo (DE/PZ)
52.8%
860
1630
2.7%
(50.3% - 55.2%)
Taliyah/Ziggs (BC/SH)
55.5%
817
1472
2.4%
(52.9% - 58.1%)
Akshan/Varus (RU/SH)
54.0%
750
1390
2.3%
(51.3% - 56.6%)
Jinx/Lulu (BC/PZ)
59.5%
730
1227
2.0%
(56.7% - 62.3%)
Pyke/Rek'Sai (BW/SH)
48.3%
572
1185
1.9%
(45.4% - 51.2%)
Annie/Jhin (NX/RU)
48.9%
544
1113
1.8%
(45.9% - 51.9%)
SunDisc
42.0%
465
1107
1.8%
(39.1% - 45.0%)
Quinn/Vayne (DE/RU)
55.0%
601
1092
1.8%
(52.0% - 58.0%)
Hecarim/Zed (IO/SI)
50.3%
437
868
1.4%
(47.0% - 53.7%)
Gangplank/Sejuani (BW/FR)
51.9%
446
859
1.4%
(48.5% - 55.3%)

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

Archetype
WinRate
#Win
#Games
PlayRate
Conf.Interval
Aatrox/Fiora/Vayne (DE/RU)
64.0%
55
86
0.1%
(52.9% - 74.0%)
Karma/Viktor (IO/PZ)
63.1%
53
84
0.1%
(51.9% - 73.4%)
Jinx/Poppy (DE/PZ)
60.2%
53
88
0.1%
(49.2% - 70.5%)
Jayce/Teemo (DE/PZ)
58.9%
63
107
0.2%
(49.0% - 68.3%)
Championless (DE/PZ)
56.9%
58
102
0.2%
(46.7% - 66.6%)
Caitlyn/Jayce (DE/PZ)
56.6%
207
366
0.6%
(51.3% - 61.7%)
Kayn/Vayne (DE/RU)
55.2%
96
174
0.3%
(47.5% - 62.7%)
Miss Fortune/Quinn (BW/DE)
55.1%
103
187
0.3%
(47.7% - 62.3%)
Diana/Zoe (DE/MT)
55.0%
77
140
0.2%
(46.4% - 63.4%)
Heimerdinger/Norra (BC/DE)
54.5%
110
202
0.3%
(47.3% - 61.5%)
Katarina/Twisted Fate (BW/NX)
54.4%
43
79
0.1%
(42.8% - 65.7%)
Annie/Twisted Fate (BW/NX)
53.9%
83
154
0.3%
(45.7% - 61.9%)
Annie/Katarina/Ziggs (NX/SH)
53.8%
35
65
0.1%
(41.0% - 66.3%)
Garen/Jarvan IV (DE)
53.6%
128
239
0.4%
(47.0% - 60.0%)
Pirates (BW/NX)
53.2%
109
205
0.3%
(46.1% - 60.2%)
Heimerdinger/Jayce (PZ/SI)
53.0%
62
117
0.2%
(43.5% - 62.3%)
Rumble/Vayne (DE/NX)
52.9%
201
380
0.6%
(47.7% - 58.0%)
Jinx (FR/PZ)
52.6%
50
95
0.2%
(42.1% - 63.0%)
Gnar/Sejuani (DE/FR)
52.4%
55
105
0.2%
(42.4% - 62.2%)
Teemo/Zoe (MT/PZ)
52.3%
223
426
0.7%
(47.5% - 57.2%)
Aatrox/Akshan (RU/SH)
51.9%
240
462
0.8%
(47.3% - 56.6%)
Seraphine/Viktor (IO/PZ)
51.8%
116
224
0.4%
(45.0% - 58.5%)
Nami/Twisted Fate (BW/SI)
51.8%
59
114
0.2%
(42.2% - 61.2%)
LeBlanc/Sivir (NX/SH)
51.3%
78
152
0.2%
(43.1% - 59.5%)
Maokai/Nautilus (BW/SI)
50.6%
82
162
0.3%
(42.7% - 58.6%)
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.

WR (WRmeta) Ziggs (BC/SH) Aatrox/Kayn (RU) Ezreal/Seraphine (BC/PZ) Gwen/Katarina (NX/SI) Draven/Jinx (NX/PZ) Aatrox/Vayne (DE/RU) Jinx (DE/PZ) Jinx/Teemo (DE/PZ) Taliyah/Ziggs (BC/SH) Akshan/Varus (RU/SH)
Ziggs (BC/SH)
54.1%
50.2%
NA
NA
42.6%
(39.6% - 45.5%)
60.5%
(55.3% - 65.4%)
57.1%
(51.2% - 62.8%)
38.1%
(32.7% - 43.7%)
46.8%
(40.1% - 53.6%)
66.9%
(62.0% - 71.6%)
56.7%
(50.0% - 63.1%)
47.9%
(42.1% - 53.8%)
43.9%
(36.6% - 51.3%)
Aatrox/Kayn (RU)
53.5%
51.5%
57.4%
(54.5% - 60.4%)
NA
NA
55.4%
(50.4% - 60.3%)
58.8%
(53.4% - 64.1%)
46.1%
(40.5% - 51.7%)
44.3%
(38.5% - 50.2%)
39.7%
(33.6% - 46.0%)
31.3%
(25.0% - 38.2%)
49.8%
(42.8% - 56.7%)
53.1%
(45.8% - 60.3%)
Ezreal/Seraphine (BC/PZ)
54.2%
49.5%
39.5%
(34.6% - 44.7%)
44.6%
(39.7% - 49.6%)
NA
NA
51.9%
(43.9% - 59.8%)
61.7%
(53.4% - 69.6%)
34.1%
(25.9% - 43.1%)
73.8%
(63.1% - 82.8%)
82.6%
(71.6% - 90.7%)
36.7%
(23.4% - 51.7%)
61.7%
(48.2% - 73.9%)
Gwen/Katarina (NX/SI)
49.9%
45.6%
42.9%
(37.2% - 48.8%)
41.2%
(35.9% - 46.6%)
48.1%
(40.2% - 56.1%)
NA
NA
38.1%
(29.1% - 47.7%)
48.8%
(39.9% - 57.8%)
39.8%
(29.5% - 50.8%)
42.9%
(28.8% - 57.8%)
46.0%
(31.8% - 60.7%)
48.3%
(35.2% - 61.6%)
Draven/Jinx (NX/PZ)
57.4%
55.7%
61.9%
(56.3% - 67.3%)
53.9%
(48.3% - 59.5%)
38.3%
(30.4% - 46.6%)
61.9%
(52.3% - 70.9%)
NA
NA
43.2%
(32.2% - 54.7%)
51.4%
(39.2% - 63.6%)
64.6%
(53.3% - 74.9%)
42.2%
(27.7% - 57.8%)
62.7%
(48.1% - 75.9%)
Aatrox/Vayne (DE/RU)
57.3%
54.5%
53.2%
(46.4% - 59.9%)
55.7%
(49.8% - 61.5%)
65.9%
(56.9% - 74.1%)
51.2%
(42.2% - 60.1%)
56.8%
(45.3% - 67.8%)
NA
NA
59.7%
(46.4% - 71.9%)
29.4%
(17.5% - 43.8%)
65.0%
(48.3% - 79.4%)
51.4%
(34.0% - 68.6%)
Jinx (DE/PZ)
47.4%
43.6%
33.1%
(28.4% - 38.0%)
60.3%
(54.0% - 66.4%)
26.2%
(17.2% - 36.9%)
60.2%
(49.2% - 70.5%)
48.6%
(36.4% - 60.8%)
40.3%
(28.1% - 53.6%)
NA
NA
38.9%
(27.6% - 51.1%)
29.2%
(19.0% - 41.1%)
38.3%
(24.5% - 53.6%)
Jinx/Teemo (DE/PZ)
52.8%
51.2%
43.3%
(36.9% - 50.0%)
68.7%
(61.8% - 75.0%)
17.4%
(9.3% - 28.4%)
57.1%
(42.2% - 71.2%)
35.4%
(25.1% - 46.7%)
70.6%
(56.2% - 82.5%)
61.1%
(48.9% - 72.4%)
NA
NA
44.7%
(28.6% - 61.7%)
54.8%
(36.0% - 72.7%)
Taliyah/Ziggs (BC/SH)
55.5%
53.6%
52.1%
(46.2% - 57.9%)
50.2%
(43.3% - 57.2%)
63.3%
(48.3% - 76.6%)
54.0%
(39.3% - 68.2%)
57.8%
(42.2% - 72.3%)
35.0%
(20.6% - 51.7%)
70.8%
(58.9% - 81.0%)
55.3%
(38.3% - 71.4%)
NA
NA
63.2%
(46.0% - 78.2%)
Akshan/Varus (RU/SH)
54.0%
49.8%
56.1%
(48.7% - 63.4%)
46.9%
(39.7% - 54.2%)
38.3%
(26.1% - 51.8%)
51.7%
(38.4% - 64.8%)
37.3%
(24.1% - 51.9%)
48.6%
(31.4% - 66.0%)
61.7%
(46.4% - 75.5%)
45.2%
(27.3% - 64.0%)
36.8%
(21.8% - 54.0%)
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 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
SobremesaH 16 Akshan/Varus (RU/SH)
YANGZERA HIMSELF 15 Ezreal/Seraphine (BC/PZ)
Lazyguga 14 Championless (DE/PZ)
Wazzu 14 Draven/Jinx (NX/PZ)
ほうおう 14 Caitlyn/Jayce (DE/PZ)
Apac
愛哭的小孩 14 Ziggs (BC/SH)
FnP Overdose 12 Jayce/Teemo (DE/PZ)
ここちい 12 Caitlyn/Jayce (DE/PZ)
亞托克斯今天砍什麼 12 Ziggs (BC/SH)
Europe
AbdallaUP 18 Ziggs (BC/SH)
Boxtopus 15 Aatrox/Akshan (RU/SH)
King D Altar 14 Aatrox/Kayn (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.

RU
BC
PZ
NX
MT
SI
BW
IO
DE
SH
FR
Evelynn
Shark Trainer
Mechanized Mimic
Arrel the Tracker
Sneaky Zeebles
Watcher on the Isles
Bayou Brunch
Scaled Snapper
Petricite Stag
Baccai Witherclaw
Bull Elnuk
Sneaky Zeebles
Wizened Wizard
Coup de Grace
Brutal Hunter
Wish
Scuttlegeist
Sunk Cost
Zephyr Sage
Petricite Hound
Ricochet
Troop of Elnuks
Defective Swapbot
Furious Faefolk
Jae Medarda
Noxkraya Arena
Shards of the Mountain
Sinister Poro
Wise Fry
Yusari
War Chefs
Khahiri the Returned
Jaull-fish
Mega Inferno Bomb
Trueshot Barrage
Weapons of the Lost
Cygnus the Moonstalker
Possession
Abyssal Guard
The Empyrean
Loyal Badgerbear
The Time Has Come
The Etherfiend
Yordle Contraption
Hextech Transmogulator
The Lady of Blood
Stargazer
Soulgorger
Marai Greatmother
Scales of the Dragon
Greathorn Companion
Lawkeeper
Thunder Fist
Golden Crushbot
Arachnoid Host
Freed Colossus
Sap Magic
Smooth Soloist
Dragon's Rage
Protective Broodfather
Evelynn
Pompous Cavalier
Unlicensed Innovation
Legion Veteran
Spiral Stairs
Terror of the Tides
Riptide
Shadows of the Past
Pompous Cavalier
Sultur
Buster Shot
Sumpsnipe Scavenger
Arena Bookie
Earth Elemental
The Etherfiend
Steem
Coastal Defender
Vora
Ember Monk
Eminent Benefactor
Trifarian Shieldbreaker
Starlit Epiphany
Crawling Viperwyrm
Shark Trainer
Steem
Scholarly Climber
Unstable Voltician
Savage Reckoner
Scholarly Climber
Spirit Journey
1–10 of 20 rows

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[↩]