THE META REPORT NAME IS TOO LONG, TOO DAMN LONG (n°47)

Patch 3.2 - Week 2 - The soon to be Path of Champion Meta Report?

Data

Number of Master Players: 372

Number of HighDiamond

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

¹ Players: 1191

Number of (Ranked) Master matches analysed 18049 or 36098 games.

Number of (Ranked) ~HighDiamond matches analysed 78181 or 156362 games.

Last Update: 2022-03-02 18:33

• Games
• Account

Patch 3.2 - Week 2 - by the Numbers1
Characteristic3	Master2		~HighDiamond2
	N = 25,4654	N = 18,0494	N = 98,4164	N = 78,1814
Status
Ranked	18,049 (71%)		78,181 (79%)
Other	5,007 (20%)		11,826 (12%)
PathOfChampion	2,067 (8.1%)		7,170 (7.3%)
Friendly	342 (1.3%)		1,239 (1.3%)
Server
americas	9,213 (36%)	6,750 (37%)	39,500 (40%)	30,251 (39%)
apac	8,817 (35%)	5,973 (33%)	31,372 (32%)	24,723 (32%)
europe	7,435 (29%)	5,326 (30%)	27,544 (28%)	23,207 (30%)
1 Max datetime recovered: 2022-03-02 17:14:18 UTC from 2022-02-23 18:00:00 to 2022-03-02 18:00:00 UTC
2 EU Master 119/119 NA Master 130/131 APAC Master 123/123
3 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
4 n(%) took from the number of matches. When the data is analysed the size is double since we account each different player

Shard/Server	Americas, N = 6051	Apac, N = 4971	Europe, N = 4611
Player Rank
Master	130 (21%)	123 (25%)	119 (26%)
Diamond	475 (79%)	374 (75%)	342 (74%)
1 n (%)

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	19.12%	20.72%	18.95%	17.28%
Demacia	15.12%	16.01%	14.08%	15.17%
Piltover	13.07%	11.92%	14.04%	13.44%
Freljord	9.72%	9.59%	10.00%	9.57%
Bilgewater	9.27%	9.26%	9.94%	8.53%
Shurima	8.92%	10.16%	8.81%	7.46%
Noxus	8.75%	8.14%	8.73%	9.56%
MtTargon	6.54%	6.84%	5.64%	7.17%
ShadowIsles	6.29%	4.72%	6.86%	7.66%
Ionia	3.20%	2.64%	2.96%	4.17%
Patch 3.2 - Week 2 Ranked games from 2022-02-23 18:00:00 UTC to 2022-03-02 18:00:00 UTC Source: Metadata of games collected with RiotGames API Last Update: 2022-03-02 17:32:32.09998

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	24.40%	26.06%	24.92%	21.71%
Demacia	14.96%	14.95%	14.67%	15.30%
Piltover	12.26%	11.89%	12.21%	12.77%
Shurima	10.21%	11.80%	9.99%	8.44%
Freljord	8.39%	8.10%	8.52%	8.60%
MtTargon	7.25%	7.77%	5.88%	8.15%
Bilgewater	6.93%	7.33%	7.56%	5.70%
Noxus	6.89%	5.68%	7.26%	8.01%
ShadowIsles	5.81%	4.19%	6.11%	7.54%
Ionia	2.89%	2.23%	2.87%	3.77%
Patch 3.2 - Week 2 Ranked games from 2022-02-23 18:00:00 UTC to 2022-03-02 18:00:00 UTC Source: Metadata of games collected with RiotGames API Last Update: 2022-03-02 17:32:32.09998

Champions Combinations

Play Rates

• Plot
• from Master
• from ~HighDiamond

Champions

Play Rate

America

Apac

Europe

Pyke/Rek'Sai

7.0%

6.7%

8.1%

6.2%

Gnar/Trundle (FR/PZ)

6.8%

4.6%

8.4%

7.6%

Miss Fortune/Quinn

6.6%

5.4%

7.3%

7.4%

Senna/Veigar

6.4%

4.9%

7.1%

7.6%

Pantheon/Yuumi (DE/MT)

5.3%

6.4%

3.7%

5.6%

BandleTree

4.6%

6.7%

2.9%

4.0%

Gnar/Teemo/Tristana (BC/DE)

4.4%

5.3%

3.8%

3.9%

Akshan/Sivir (DE/SH)

2.5%

3.4%

1.7%

2.3%

Akshan/Gnar

2.5%

2.5%

2.6%

2.2%

Gnar/Ziggs (BC/NX)

2.0%

1.2%

3.0%

1.7%

Draven/Rumble (NX/PZ)

1.9%

1.8%

1.5%

2.6%

Fizz/Riven (BC/NX)

1.7%

0.5%

1.7%

3.4%

Gangplank/Sejuani

1.7%

2.0%

2.3%

0.6%

Gnar/Sejuani

1.6%

3.1%

0.5%

1.1%

Akshan/Renekton (BC/SH)

1.4%

3.5%

0.2%

0.2%

Lee Sin/Zoe

1.3%

0.9%

1.2%

1.9%

Fizz/Gnar (BC/PZ)

1.3%

1.8%

0.5%

1.4%

Fizz/Lulu (BC/PZ)

1.2%

1.4%

1.4%

0.8%

Jayce/Lux

1.1%

1.4%

1.6%

0.1%

Pantheon/Taric (DE/MT)

1.1%

0.5%

1.0%

1.9%

1–20 of 789 rows

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Data from Master Only. Source: Metadata of games collected with RiotGames API. Last Update: 2022-03-02 17:33:28.729361 FALSE

Champions

Play Rate

America

Apac

Europe

Pyke/Rek'Sai

6.8%

6.6%

8.5%

5.2%

Miss Fortune/Quinn

6.8%

6.2%

6.9%

7.3%

Gnar/Trundle (FR/PZ)

6.7%

5.9%

7.7%

6.8%

Senna/Veigar

6.4%

5.8%

6.8%

6.7%

Gnar/Teemo/Tristana (BC/DE)

4.7%

5.5%

3.2%

5.1%

Pantheon/Yuumi (DE/MT)

4.3%

4.5%

3.6%

4.9%

BandleTree

4.1%

4.7%

3.5%

3.8%

Gnar/Ziggs (BC/NX)

3.4%

3.0%

4.5%

2.8%

Akshan/Gnar

2.3%

2.5%

2.1%

2.3%

Gnar/Swain

2.2%

1.8%

2.7%

2.1%

Draven/Rumble (NX/PZ)

2.0%

1.7%

1.7%

2.8%

Akshan/Sivir (DE/SH)

1.9%

2.4%

1.4%

1.7%

Fizz/Riven (BC/NX)

1.5%

0.7%

1.7%

2.3%

Gangplank/Sejuani

1.4%

1.4%

2.1%

0.7%

Lee Sin/Zoe

1.1%

1.0%

0.9%

1.5%

Taliyah/Ziggs

1.1%

1.5%

0.8%

0.8%

Fizz/Gnar (BC/PZ)

1.1%

1.2%

0.5%

1.4%

Gnar/Sejuani

1.1%

1.7%

0.5%

0.8%

Elise (NX/SI)

1.0%

0.7%

1.2%

1.0%

Darius/Gnar (FR/NX)

0.9%

0.8%

0.8%

1.3%

1–20 of 1978 rows

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Data from ~HighDiamond Only. Source: Metadata of games collected with RiotGames API Last Update: 2022-03-02 17:33:28.924285. FALSE

Day by Day

Highlighting the play-rates of most played [^at the moment of the last game] decks over time.

• Master
• HighDiamond

Win Rates

• 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

•Pyke/Rek'Sai (3)

47.9%

1211

2526

7.0%

americas, apac, europe

•Gnar/Trundle (FR/PZ) (3)

53.4%

1304

2443

6.8%

americas, apac, europe

•Miss Fortune/Quinn (3)

53.9%

1286

2387

6.6%

americas, apac, europe

•Senna/Veigar (3)

51.3%

1190

2320

6.4%

americas, apac, europe

•Pantheon/Yuumi (DE/MT) (3)

57.1%

1087

1904

5.3%

americas, apac, europe

•BandleTree (3)

48.4%

806

1664

4.6%

americas, apac, europe

•Gnar/Teemo/Tristana (BC/DE) (3)

55.5%

882

1590

4.4%

americas, apac, europe

•Akshan/Sivir (DE/SH) (3)

52.9%

486

919

2.5%

americas, apac, europe

•Akshan/Gnar (3)

52.4%

467

892

2.5%

americas, apac, europe

•Gnar/Ziggs (BC/NX) (3)

49.8%

352

707

2.0%

americas, apac, europe

1–10 of 22 rows

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Top Win rates of the top10 best performing least played combination of champions. Play rate ∈[0.1 [^Min number of games 50, during the times a meta/ladder just changed]

Champions

WinRate

#Win

#Games

Play Rate

LCI

UCI

CI

Lissandra/Trundle (FR/SI)

62.7%

32

51

0.1%

0.480802158241963

0.758737570359988

(48.1% - 75.9%)

Caitlyn/Ezreal (NX/PZ)

61.9%

83

134

0.4%

0.531557314812749

0.701847905427524

(53.2% - 70.2%)

Rumble/Sion (NX/PZ)

61.5%

32

52

0.1%

0.470184821842253

0.746953471013033

(47.0% - 74.7%)

Gnar/Yuumi (BC/PZ)

60.7%

34

56

0.2%

0.467536927445787

0.735008737496271

(46.8% - 73.5%)

Kindred/Vi

60.4%

81

134

0.4%

0.516400677787835

0.687830648691857

(51.6% - 68.8%)

Draven/Sion/Vi

58.0%

69

119

0.3%

0.485897457168151

0.669696458836152

(48.6% - 67.0%)

Lee Sin/Yuumi/Zoe (IO/MT)

57.4%

35

61

0.2%

0.440551507632614

0.699583071433312

(44.1% - 70.0%)

Ashe/Gnar (FR/IO)

57.3%

63

110

0.3%

0.474846532588467

0.666592581229899

(47.5% - 66.7%)

Riven/Viktor

57.0%

61

107

0.3%

0.470794391306736

0.665412509469762

(47.1% - 66.5%)

Gnar/Lulu/Yuumi (BC/DE)

56.9%

33

58

0.2%

0.432269816680898

0.6983754577078

(43.2% - 69.8%)

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.

	Pyke/Rek'Sai	Gnar/Trundle (FR/PZ)	Miss Fortune/Quinn	Senna/Veigar	Pantheon/Yuumi (DE/MT)	BandleTree	Gnar/Teemo/Tristana (BC/DE)	Akshan/Sivir (DE/SH)	Akshan/Gnar	Gnar/Ziggs (BC/NX)
Pyke/Rek'Sai	NA	40.3% 42.6%	52.1% 49.3%	43.2% 53.7%	39.7% 49.7%	42.5% 46.1%	47.2% 46.3%	55.0% 49.4%	43.9% 44.2%	46.3% 43.1%
Gnar/Trundle (FR/PZ)	59.7% 57.4%	NA	45.6% 46.6%	51.0% 49.4%	52.4% 42.1%	67.4% 67.6%	57.9% 47.1%	53.8% 51.5%	50.0% 52.0%	47.9% 40.8%
Miss Fortune/Quinn	47.9% 50.7%	54.4% 53.4%	NA	56.9% 58.1%	33.6% 30.5%	67.9% 68.0%	51.0% 52.6%	50.9% 47.2%	60.8% 50.9%	51.2% 59.5%
Senna/Veigar	56.8% 46.3%	49.0% 50.6%	43.1% 41.9%	NA	41.1% 45.0%	33.0% 31.0%	34.8% 40.4%	45.8% 46.0%	56.8% 43.4%	68.9% 59.1%
Pantheon/Yuumi (DE/MT)	60.3% 50.3%	47.6% 57.9%	66.4% 69.5%	58.9% 55.0%	NA	52.0% 52.3%	60.0% 53.1%	58.1% 57.8%	42.5% 54.4%	33.3% 36.1%
BandleTree	57.5% 53.9%	32.6% 32.2%	32.1% 32.0%	67.0% 69.0%	48.0% 47.7%	NA	38.1% 37.5%	47.2% 36.2%	36.8% 43.0%	45.8% 52.6%
Gnar/Teemo/Tristana (BC/DE)	52.8% 53.7%	42.1% 52.9%	49.0% 47.4%	65.2% 59.6%	40.0% 46.9%	61.9% 62.5%	NA	45.9% 51.5%	48.8% 47.0%	60.9% 55.7%
Akshan/Sivir (DE/SH)	45.0% 50.6%	46.2% 48.5%	49.1% 52.8%	54.2% 54.0%	41.9% 42.2%	52.8% 63.8%	54.1% 48.5%	NA	51.6% 64.0%	40.0% 56.4%
Akshan/Gnar	56.1% 55.8%	50.0% 48.0%	39.2% 49.1%	43.2% 56.6%	57.5% 45.6%	63.2% 57.0%	51.2% 53.0%	48.4% 36.0%	NA	43.8% 52.4%
Gnar/Ziggs (BC/NX)	53.7% 56.9%	52.1% 59.2%	48.8% 40.5%	31.1% 40.9%	66.7% 63.9%	54.2% 47.4%	39.1% 44.3%	60.0% 43.6%	56.2% 47.6%	NA
MatchUp values from Ranked games with Master (upper) and ~HighDiamond (bottom) Ranked players. Decks and order of the Archetypes based on the playrate over the last 7 days. 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 ≥ 97.5 Tier1 with LMI ∈[85,97.5) Tier2 with LMI ∈[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
HDR Dudu de Nunu	12	Gnar/Teemo/Tristana (BC/DE)	CQBQCAYABYAQIAACA4CQUIDPOSCQDJQBV4A3OAIDAEBAABYBAUAAYBAFBJYIIANBAHMQCAIBAECAQ
Aikado	11	Ahri/Lulu (IO/PZ)	CEDACAICBQAQGAQCAEBQIEQBAQCBAAQFAICAOBIBAQGCMJZNGQBACAICCUAQEBADAIAQCARRAIBQEEIU
Da Tank Buster	11	Jayce/Lux	CEBQCAYABYBQCAAGFAVAIBIECYMBSGQEAEBAAAIBAUCBWAQBAANCSAQBAQNTIAYBAQAAEAIFAQPQEAIAB4QQ
Apac
赤玉パンチ	15	Miss Fortune/Quinn	CIDACAQGCYAQGAAOAECAAAQCAIAAMCQCAUAAUDADAEAAMCI5AMAQEBR6AECAABYCAIAAEBYCAEAQACYBAUDAC
Hypnos	14	Pyke/Rek'Sai	CMBAIBAGAEBQKDYHAQDQCEYWIFCEUUACAECAMAQBAQDUKAQBAQDTMAQEAYCAO
Torra	14	Miss Fortune/Quinn	CIDACAQAAYAQGAAOAECAAAQCAIDBMPQCAUAAUDADAEAAMCI5AIAQIAAHAIBAABYKAQAQCABTAEBAAAQBAUDACAIFAAKA
Europe
Exonarf	16	Kindred/Vi	CQDACAQEBAAQIBIFAECQIGICAECBWNACAUCQWDYDAECQCKBRAIAQKCUYAECACBIPCMMSCAA
GZneverwalkalone	11	Gnar/Trundle (FR/PZ)	CQDACAIBAMAQCBBNAEBQCBQBAUCBQAQEAQFBAAQFBKMADIIBAQAQCAILAIAQIGZUAIBQCAQDAICACCQMAIAQCBBHAEBQICY
SmoothSwoleoist	11	Gnar/Teemo/Tristana (BC/DE)	CQBQCAYABYAQIAACBECQUIDPOB2IKANGAGXQDNYB3EAQEAICAADQEBIKQQA2CAIBAEAQICA
Sorry	11	Draven/Rumble (NX/PZ)	CQDACAYEAUAQIBAQAECQUWABAUBQ2AYBAMBBGFADAECCOLJUAMAQCAYLAEBQIEQBAUBQMBABAIBQGAIDAMHQCBIDBEAQKBAU
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

Show 102550100 entries

Search:

Card	#Decks with that card	Region	Games of X Region	Play Rate
Sharpsight	10608	Demacia	10911	97.2%
Pokey Stick	13309	BandleCity	13793	96.5%
Twin Disciplines	2156	Ionia	2307	93.5%
Mystic Shot	8664	Piltover	9431	91.9%
Pale Cascade	4260	MtTargon	4720	90.3%
Vile Feast	3986	ShadowIsles	4541	87.8%
Guiding Touch	4137	MtTargon	4720	87.6%
Deny	1914	Ionia	2307	83.0%
Vengeance	3743	ShadowIsles	4541	82.4%
Golden Aegis	8770	Demacia	10911	80.4%

Showing 1 to 10 of 911 entries

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

IO

PZ

SH

SI

DE

BW

MT

BC

NX

FR

Keeper of Masks

Parade Electrorig

Unworthy

Fresh Offerings

Laurent Duelist

The Beast Below

Sneaky Zeebles

Wizened Wizard

Arachnoid Host

Avarosan Marksman

Herald of Spring

Academy Prodigy

Sandcrafter

Scribe of Sorrows

Plucky Poro

Bubble Bear

Grandfather Rumul

Furious Faefolk

Arena Bookie

Stalking Wolf

Kinkou Lifeblade

Shady Character

Hibernating Rockbear

Tortured Prodigy

Vanguard Lookout

Slotbot

Resplendent Stellacorn

Mega Inferno Bomb

Trifarian Shieldbreaker

Heart of the Fluft

Nimble Poro

Jae Medarda

Desert's Wrath

Iron Harbinger

Reinforcements

Smooth Soloist

Wish

Bandle Gunners

Blood for Blood

Feral Mystic

Sown Seeds

Mushroom Cloud

Ricochet

Stirred Spirits

For Demacia!

Plunder Poro

Shards of the Mountain

Tricksy Tentacles

Savage Reckoner

They Who Endure

Shadow Flare

Hextech Transmogulator

Shifting Sands

Ethereal Remitter

Vanguard Cavalry

Mystifying Magician

Messenger's Sigil

Thunder Fist

Affectionate Poro

Caught in the Cold

Scaled Snapper

Midenstokke Henchmen

Arise!

Warden's Prey

Silverwing Diver

Golden Narwhal

Whiteflame Protector

Pompous Cavalier

Crimson Awakener

Aurora Porealis

Shadow Fiend

Astute Academic

Inspiring Marshal

Soulgorger

Loyal Badgerbear

Pocket Aces

Fledgling Stellacorn

Fix-Em-Uppers

Hunt the Weak

Augur of the Old Ones

Stand United

Unlicensed Innovation

Emperor's Divide

Sap Magic

Molten Breath

Strong-arm

Stargazer

Poro Sled

Arrel the Tracker

Icequake

Insight of Ages

Sumpsnipe Scavenger

Rite of Dominance

Terror of the Tides

Dragonguard Lookout

More Powder!

Blessing of Targon

Ember Monk

Wrathful Rider

Troll Ravager

1–10 of 34 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
BandleTree	3 copies of BandleTree
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

Credits

Special thanks to bA1ance for the recent support (ᐛ)ᕗ (January/February 2022)

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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.