THE META REPORT NAME IS TOO LONG, TOO DAMN LONG (n°37)

Patch 2.22 - Week 2 - 1/1 Doctor(s).LoR prescribes the current meta

Data

Note: With the current Season I want to start using a “more robust” way for which games to collect. Reason being that while I want to focus on Master players it’s possible to notice the flaw that

• Once a player reached Master he/she stops playing so it’s equal to be non-existent for the analysis

• As of now, without an incentive to climb the Master leaderboard is less populated and yet it’s not like all those lowers are probably that much worse. I noticed for example that the data from the Master of the previous Season still had very similar results regarding win rates. But using the “last-Season” masters is also quite an unstable way to pick the players/games.

So the proposed solution is the following:

• Collect Master Data as usual

• Collect games from HighDiamond players. With “HighDiamond defined as those who played against a Master but aren’t”. Of course if a Diamond reaches Master I stop collecting his/her games as Diamond but start as Master. This may also help to create some analysis based on “skills”

• For the early weeks of a Season I’m going to collect the games from those who played the Seasonal tournament (of course this is assuming it’s held each season which is a safe approach I guess). If I should show all the results or either LastSeasonal/Diamond or Master/Diamond is something I still have to decide. Adding more stuff can be fine but the report is already big like this.

Number of (Ranked) matches analysed 12623 or 25246 games. / Master Players

Number of (Ranked) matches analysed 56510 or 113020 games. / ~HighDiamond

Last Update: 2022-02-05 19:02

Patch 2.22 - Week 2 - by the Numbers1
Characteristic2	Master		~HighDiamond
	N = 28,7933	N = 12,6233	N = 79,6423	N = 56,5103
Status
Friendly	12,652 (44%)		14,464 (18%)
Ranked	12,623 (44%)		56,510 (71%)
Other	3,518 (12%)		8,668 (11%)
Server
americas	13,699 (48%)	5,637 (45%)	35,707 (45%)	24,769 (44%)
apac	6,242 (22%)	2,208 (17%)	15,803 (20%)	10,423 (18%)
europe	8,852 (31%)	4,778 (38%)	28,132 (35%)	21,318 (38%)
1 Max datetime recovered: 2021-12-22 17:59:56 UTC from 2021-12-15 18:00:00 to 2021-12-22 18:00:00 UTC 2 Metadata from Friendly Matches (that aren't Bo3) is not recoverable, the value may not be perfect since I lack the starting time of the game. The amount of Games to still scrap is also an estimation based on the 'position' of the game 3 n(%) took from the number of matches. When the data is analysed the size is double since we account each different player

Regions

Play Rate

• Plot
• Table

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.

Region Play Rate
Relative Frequencies by Inclusion Rate of a Region
Region	Freq	Shard
		America	Apac	Europe
BandleCity	17.40%	16.45%	17.58%	18.44%
MtTargon	11.85%	12.57%	9.25%	12.19%
Ionia	11.24%	11.38%	13.82%	9.89%
Bilgewater	10.60%	10.50%	7.60%	12.10%
Noxus	10.59%	10.39%	9.73%	11.22%
Piltover	9.94%	10.15%	11.63%	8.92%
Shurima	8.51%	8.00%	10.52%	8.20%
Demacia	7.56%	8.36%	8.67%	6.12%
ShadowIsles	6.69%	6.73%	6.12%	6.91%
Freljord	5.61%	5.49%	5.09%	6.00%
Patch 2.22 - Week 2 Ranked games from 2021-12-15 18:00:00 UTC to 2021-12-22 18:00:00 UTC Source: Metadata of games collected with RiotGames API Last Update: 2022-02-05 17:59:15.775614

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
Region	Freq	Shard
		America	Apac	Europe
BandleCity	20.24%	19.77%	18.79%	21.46%
Ionia	15.29%	15.27%	19.24%	13.49%
MtTargon	12.12%	12.96%	9.20%	12.46%
Bilgewater	11.20%	11.46%	7.58%	12.57%
Piltover	10.41%	10.94%	12.40%	8.88%
Noxus	8.14%	7.63%	7.91%	8.86%
Shurima	7.34%	6.78%	8.10%	7.64%
Demacia	6.31%	6.96%	7.61%	4.94%
ShadowIsles	4.74%	4.37%	5.14%	4.98%
Freljord	4.21%	3.85%	4.03%	4.71%
Patch 2.22 - Week 2 Ranked games from 2021-12-15 18:00:00 UTC to 2021-12-22 18:00:00 UTC Source: Metadata of games collected with RiotGames API Last Update: 2022-02-05 17:59:15.775614

Champions Combinations

Play Rates

• Plot
• from Master
• from ~HighDiamond

Champions

Play Rate

America

apac

Europe

Nami/Twisted Fate (BC/BW)

6.8%

8.0%

3.2%

7.0%

Pantheon (DE/MT)

4.7%

6.3%

2.9%

3.7%

BandleTree

4.7%

5.0%

3.7%

4.8%

Ahri/Lulu (IO/PZ)

4.7%

4.4%

9.7%

2.7%

Senna/Veigar

4.1%

4.1%

3.4%

4.5%

Gangplank/Sejuani

3.9%

4.3%

2.6%

4.1%

Pyke/Rek'Sai

3.9%

2.3%

4.7%

5.4%

Ahri/Kennen (IO/SH)

3.6%

3.2%

6.3%

2.8%

Lee Sin/Zoe

3.4%

3.8%

1.2%

4.0%

Lissandra/Taliyah

3.2%

2.8%

4.7%

3.0%

Pantheon/Taric (DE/MT)

3.1%

3.1%

2.4%

3.4%

Ahri/Kennen (IO/SI)

2.6%

3.4%

1.2%

2.3%

Elise (NX/SI)

2.4%

1.9%

1.1%

3.7%

Zoe (BC/MT)

2.2%

0.6%

0.3%

4.9%

Swain/Teemo (BC/NX)

2.0%

1.9%

3.5%

1.4%

Caitlyn/Teemo (BC/PZ)

1.6%

0.6%

3.4%

2.0%

Ekko/Zilean

1.6%

2.3%

0.1%

1.4%

Pantheon/Shyvana

1.5%

1.1%

5.8%

0.1%

Ahri/Kennen (DE/IO)

1.5%

1.4%

1.1%

1.7%

Gangplank/Twisted Fate (BC/BW)

1.4%

0.8%

1.4%

2.1%

1–20 of 525 rows

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Data from Last-Season Master Only. Source: Source: Metadata of games collected with RiotGames API FALSE

Champions

Play Rate

America

apac

Europe

Nami/Twisted Fate (BC/BW)

4.9%

5.5%

3.7%

4.9%

BandleTree

4.8%

5.0%

3.6%

5.3%

Gangplank/Sejuani

4.7%

4.8%

5.1%

4.4%

Pantheon (DE/MT)

4.7%

5.9%

3.5%

4.0%

Pantheon/Taric (DE/MT)

4.4%

4.0%

4.0%

5.0%

Pyke/Rek'Sai

3.9%

3.6%

4.7%

3.7%

Ahri/Lulu (IO/PZ)

3.6%

3.0%

6.7%

2.9%

Senna/Veigar

3.4%

3.3%

3.0%

3.7%

Lee Sin/Zoe

3.3%

3.6%

1.8%

3.6%

Ahri/Kennen (IO/SH)

2.6%

1.7%

3.8%

3.1%

Lissandra/Taliyah

2.6%

2.4%

3.0%

2.6%

Swain/Teemo (BC/NX)

2.5%

2.4%

3.7%

2.2%

Ahri/Kennen (IO/SI)

2.4%

2.9%

1.9%

2.1%

Elise (NX/SI)

2.3%

2.4%

0.8%

3.0%

Caitlyn/Teemo (BC/PZ)

1.8%

1.4%

2.4%

2.1%

Teemo/Ziggs (BC/NX)

1.6%

1.5%

1.7%

1.7%

Gangplank/Miss Fortune (BW/NX)

1.6%

1.9%

1.0%

1.6%

Dragons (DE/MT)

1.5%

1.8%

1.4%

1.4%

Zoe (BC/MT)

1.1%

0.5%

0.4%

2.1%

Gangplank/Twisted Fate (BC/BW)

1.1%

1.0%

0.9%

1.4%

1–20 of 1385 rows

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Data from Current Master Only. Source: Source: Metadata of games collected with RiotGames API FALSE

Day by Day

Highlisting the top10 most played decks (at the moment of the last game played).

• Master
• HighDiamond

Win Rates

Tie games are excluded

• Meta Decks
• Underdog

Win rates of the most played combination of champions. Play Rate >= 1% in at least one of the servers.

Champions

WinRate

#Win

#Games

Play Rate

Server

•Nami/Twisted Fate (BC/BW) (3)

54.2%

926

1710

6.8%

americas, apac, europe

•Pantheon (DE/MT) (3)

56.9%

678

1192

4.7%

americas, apac, europe

•Ahri/Lulu (IO/PZ) (3)

52.6%

622

1182

4.7%

americas, apac, europe

•BandleTree (3)

47.4%

555

1172

4.6%

americas, apac, europe

•Senna/Veigar (3)

52.3%

546

1044

4.1%

americas, apac, europe

•Gangplank/Sejuani (3)

52.0%

514

988

3.9%

americas, apac, europe

•Pyke/Rek'Sai (3)

51.0%

499

978

3.9%

americas, apac, europe

•Ahri/Kennen (IO/SH) (3)

58.4%

529

906

3.6%

americas, apac, europe

•Lee Sin/Zoe (3)

53.4%

462

865

3.4%

americas, apac, europe

•Lissandra/Taliyah (3)

50.8%

411

809

3.2%

americas, apac, europe

1–10 of 24 rows

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

Min number of games 50, during the times a meta/ladder just changed.

¹

Champions

WinRate

#Win

#Games

Play Rate

Pantheon/Zoe (DE/MT)

56.9%

29

51

0.2%

Caitlyn/Elise/Vi

56.7%

51

90

0.4%

Diana/Nocturne

56.6%

56

99

0.4%

Malphite/Taliyah

55.7%

78

140

0.6%

Lissandra/Trundle (FR/SI)

55.6%

69

124

0.5%

Pantheon/Riven

55.5%

61

110

0.4%

Ziggs (BC/NX)

55.0%

33

60

0.2%

Fizz/Twisted Fate (BC/BW)

54.7%

87

159

0.6%

Draven/Sion/Vi

53.7%

29

54

0.2%

Vi/Zoe

53.3%

32

60

0.2%

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.

The upper value is from all the Masters players, the bottom one only from ~HighDiamond.

MU with less than 30 games are not included.

	Nami/Twisted Fate (BC/BW)	Pantheon (DE/MT)	BandleTree	Ahri/Lulu (IO/PZ)	Senna/Veigar	Gangplank/Sejuani	Pyke/Rek'Sai	Ahri/Kennen (IO/SH)	Lee Sin/Zoe	Lissandra/Taliyah
Nami/Twisted Fate (BC/BW)	NA	32.0% 41.2%	70.0% 62.6%	52.8% 50.8%	33.7% 38.4%	45.3% 43.8%	49.2% 45.0%	55.9% 56.2%	49.0% 47.3%	42.9% 34.2%
Pantheon (DE/MT)	68.0% 58.8%	NA	55.1% 48.7%	59.3% 53.2%	63.3% 57.3%	56.4% 60.4%	62.9% 55.6%	39.4% 40.6%	34.2% 30.0%	58.3% 52.8%
BandleTree	30.0% 37.4%	44.9% 51.3%	NA	30.2% 42.8%	74.1% 66.7%	52.4% 51.2%	48.3% 51.6%	29.8% 32.4%	63.3% 62.2%	41.5% 46.2%
Ahri/Lulu (IO/PZ)	47.2% 49.2%	40.7% 46.8%	69.8% 57.2%	NA	56.1% 56.7%	55.0% 48.7%	47.1% 58.9%	41.2% 52.3%	57.1% 40.8%	68.5% 58.9%
Senna/Veigar	66.3% 61.6%	36.7% 42.7%	25.9% 33.3%	43.9% 43.3%	NA	61.0% 56.7%	46.3% 39.3%	44.4% 50.5%	58.6% 61.5%	40.6% 35.8%
Gangplank/Sejuani	54.7% 56.2%	43.6% 39.6%	47.6% 48.8%	45.0% 51.3%	39.0% 43.3%	NA	55.2% 53.6%	41.9% 45.2%	35.9% 37.6%	25.0% 30.8%
Pyke/Rek'Sai	50.8% 55.0%	37.1% 44.4%	51.7% 48.4%	52.9% 41.1%	53.7% 60.7%	44.8% 46.4%	NA	26.3% 31.2%	51.5% 50.4%	68.6% 69.4%
Ahri/Kennen (IO/SH)	44.1% 43.8%	60.6% 59.4%	70.2% 67.6%	58.8% 47.7%	55.6% 49.5%	58.1% 54.8%	73.7% 68.8%	NA	85.7% 76.0%	70.6% 47.0%
Lee Sin/Zoe	51.0% 52.7%	65.8% 70.0%	36.7% 37.8%	42.9% 59.2%	41.4% 38.5%	64.1% 62.4%	48.5% 49.6%	14.3% 24.0%	NA	52.2% 42.5%
Lissandra/Taliyah	57.1% 65.8%	41.7% 47.2%	58.5% 53.8%	31.5% 41.1%	59.4% 64.2%	75.0% 69.2%	31.4% 30.6%	29.4% 53.0%	47.8% 57.5%	NA
The upper value is from Last-Seasononal Players while the bottom value is from ~HighDiamond. MU with less than 30 games are not included. Order of the Archetypes based on the playrate over the last 7 days from the last-update from the upper value population. Source: Metadata of games collected with RiotGames API

Download MU grid as .png

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

LMI - Early Theory

²

LMI - Adding a Ban Index

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
Time to go	15	Ezreal/Senna	CECQCAIFFAAQKBAMAIBQKAQQAMCQKCILBYCQCBA3D4SDGNACAEBQICYBAQCAOAA
Dagar	14	Pantheon (DE/MT)	CICQCAYABYAQIAADAIAQADI2AMCQSAYFAYCAGCI3EMZVYAQBAEAASAICAAAQGAIDAABACAYJCMAQKCIK
Alanzq	13	Nami/Twisted Fate (BC/BW)	CQCACAYGCEBAEBQYDIBAKBQFBMDQKCQBAQNCQMNGAG6ACAQBAUFMMAIBAUDACAA
ptash	13	Gangplank/Sejuani	CICACAQBAIAQIBQKAECQMAIIAIDAWFBAEERC2OR4AIAQGBQIAIBAMERGAEAQEBQC
Zult	13	Diana/Nocturne	CIBQCBAFBMCAGBIDAQCQMCADBERTQSKYLFPNMAOYAEAACAIBAUXQ
Apac
ほろう	12	Pyke/Rek'Sai	CMBAIBAGAEBQKDYGAQDRGQKEIVFFAAQBAQDAOAQEA4ARMAQBAQDAMAYEA4GRANQ
shu	11	Swain/Teemo (BC/NX)	CQCQCAIEBAAQGAYNAIAQGLRXAMBAGBYIBECQKCQBGFC2IANGAEBACAQDAEAQKCQ2AA
Teal Red	11	Ahri/Lulu (IO/PZ)	CEDQCAQEAMAQGAQCAEBQIEQBAQCBAAQBAIGBKAQFAICAOBIBAQGCMJZNGQAACAIDAIKA
Teal Red	11	Ahri/Lulu (IO/PZ)	CEDACAYECIAQIBAQAIAQEDAVAIBQEAQRAICQEBAHAUAQIDBGE4WTIAABAEBAIAY
Europe
Sir Donald	14	Fizz/Lulu (BC/PZ)	CQDACAQGFYAQGAQCAEBQIEQBAQCBAAYBAQGCOLIFAUFG65DYV4A4AAIBAECQVJQBAEBAKCUIAHDAC
Karogiran	12	Pantheon (DE/MT)	CICQCAYABYAQIAADAMAQACINDIBQKCIDAUDAIAYJDMRTGXABAEBAAAICAEBQSEYBAQAAE
S0bek	12	Caitlyn/Ezreal (NX/PZ)	CQDACAQDBEAQGBARAECQVGABAIAQGLRXAIAQIJBUAMCQIBQMBUCACAIDGMAQGAYNAECQIGACAECBWHYA
xDino	12	Lee Sin/Zoe	CICACAICBQAQKCIGAUBAEAYFAYEASBIDBEERWIZT24AQCAIBAIYQEAIBAIBACAYJKU
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

• Play Rate
• Top 3 Play Rates by Region
• Forgotten Cards

 

 

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

IO

PZ

DE

FR

SI

BW

SH

NX

MT

BC

Kinkou Lifeblade

Parade Electrorig

Detain

Iceborn Legacy

Fresh Offerings

The Beast Below

Unworthy

Legion Veteran

The Skies Descend

Shark Trainer

Nimble Poro

Academy Prodigy

Laurent Duelist

Shatter

Scribe of Sorrows

Brash Gambler

Hibernating Rockbear

Trifarian Shieldbreaker

Wish

Wizened Wizard

Jeweled Protector

Shady Character

Plucky Poro

Stalking Wolf

Sinister Poro

Slotbot

Shifting Sands

Crimson Aristocrat

Shards of the Mountain

Yordle Ranger

Sown Seeds

Jae Medarda

Laurent Chevalier

Winter's Breath

Tortured Prodigy

Hunting Fleet

Arise!

Blood for Blood

Whiteflame Protector

Mega Inferno Bomb

Shadow Flare

Hextech Transmogulator

Redoubled Valor

Feral Mystic

Iron Harbinger

The Syren

Emperor's Divide

Savage Reckoner

Paddle Star

Tricksy Tentacles

Scaled Snapper

Midenstokke Henchmen

Vanguard Lookout

Icy Yeti

Stirred Spirits

Plunder Poro

Rampaging Baccai

Basilisk Rider

Starbone

Pompous Cavalier

Ritual of Renewal

Golden Crushbot

En Garde

Rimetusk Shaman

Possession

Jailbreak

Destined Poro

Crimson Awakener

Startled Stomper

Fix-Em-Uppers

Insight of Ages

Scrapdash Assembly

For Demacia!

Mighty Poro

Sap Magic

Scrapshot

Sanctum Conservator

Guile

Sleepy Trouble Bubble

Ember Monk

Silent Shadowseer

Astute Academic

Vanguard Firstblade

Caught in the Cold

Overgrown Snapvine

Ye Been Warned

Chronoshift

Aurok Glinthorn

Porofly

Heroic Charge

Yusari

Unlicensed Innovation

Vanguard Cavalry

Troll Scavenger

Vaults of Helia

Boomship

Vekauran Safecracker

Armored Tuskrider

Spiral Stairs

Double Tap

Ren Shadowblade

Assembly Bot

Silverwing Diver

Augur of the Old Ones

Encroaching Shadows

Wise Fry

Waking Sands

Arrel the Tracker

Rockfall Path

Keeper's Verdict

Emerald Awakener

Eminent Benefactor

Loyal Badgerbear

Icequake

Duskrider

Loaded Dice

Sai Scout

Apprehend

Frightened Ibex

Benemone

Shadowshift

Unstable Voltician

Greathorn Companion

Uzgar the Ancient

The Etherfiend

Lost Riches

Sandstone Chimera

Wrathful Rider

​

​

Horns of the Dragon

Plaza Guardian

Greenfang Warden

Troll Ravager

The Twisted Treeline

Ruined Rex

Sandswept Tomb

Retired Reckoner

​

​

Whimsy!

Amateur Aeronaut

The Grand Plaza

Call the Wild

Soulspinner

Journeying Sandhopper

Stoneweaving

Weapons of the Lost

​

​

1–15 of 24 rows

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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
RubinBait - <Champ>	Burn Deck using <Champ> to bait mulligan
Dragons (DE/MT)	(DE/MT) Decks with *at least* Shyvana and ASol
SunDisc	Mono Shurima with 1+ Sun Disc
Viktor - Shellfolk	Viktor + at least one of Curious Shellfolk/Mirror Mage + at least 2 Trinket Trade
Sentinel Control	PnZ/SI deck with a combination of Elise/Jayce/Vi

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