Data

Number of (Ranked) matches analysed 150435 or 300870 games.

Last Update: 2021-11-03 19:50

Patch 2.18 - Week 2 - by the Numbers¹
Characteristic³	Current Master²		Last-Season Master²
Characteristic³	N = 20,709⁴	N = 15,473⁴	N = 211,246⁴	N = 150,435⁴
Status
Ranked	15,473 (75%)		150,435 (71%)
Other	4,977 (24%)		57,778 (27%)
Friendly	259 (1.3%)		3,033 (1.4%)
Server
americas	8,253 (40%)	6,060 (39%)	98,039 (46%)	67,450 (45%)
asia	4,273 (21%)	3,039 (20%)	32,196 (15%)	22,622 (15%)
europe	8,183 (40%)	6,374 (41%)	81,011 (38%)	60,363 (40%)
¹ Max datetime recovered: 2021-11-03 18:10:44 UTC from 2021-10-27 21:00:00 to 2021-11-03 21:00:00 UTC ² EU Master playerDecks in the ladder 104 while number of possible Master playerDecks recovered is 104, Number of Last-Season EU Master used 1509 NA Master playerDecks in the ladder 115 while number of possible Master playerDecks recovered is 115, Number of Last-Season NA Master used 1733 ASIA Master playerDecks in the ladder 61 while number of possible Master playerDecks recovered is 61, Number of Last-Season ASIA Master used 600 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

Regions

Data only with Last-Season Masters

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
Region	Freq	Shard
Region	Freq	America	Asia	Europe
BandleCity	16.78%	15.86%	18.13%	17.31%
Noxus	13.37%	11.90%	15.80%	14.11%
Shurima	11.79%	11.83%	11.85%	11.73%
Bilgewater	11.59%	12.30%	9.50%	11.58%
Demacia	11.11%	11.88%	9.66%	10.79%
Piltover	9.73%	9.85%	10.40%	9.35%
Ionia	7.59%	8.12%	6.85%	7.28%
Freljord	7.11%	6.77%	5.96%	7.92%
ShadowIsles	5.94%	5.91%	7.18%	5.52%
MtTargon	4.98%	5.59%	4.68%	4.42%
Patch 2.18 - Week 2 Ranked games from 2021-10-27 21:00:00 UTC to 2021-11-03 21:00:00 UTC Metadata of games collected with RiotGames API

Play Rate by number of Cards

Note: currently all dual region cards have only their main region as possible value assigned. The same problem also apply to the card’s inclusion rates.

Region Play Rate
Relative Frequencies by number of times a Card within a Region is included in a Deck
Region	Freq	Shard
Region	Freq	America	Asia	Europe
BandleCity	19.45%	18.25%	21.36%	20.08%
Shurima	13.31%	13.42%	13.16%	13.26%
Bilgewater	12.42%	12.97%	10.28%	12.60%
Noxus	11.03%	9.95%	12.79%	11.57%
Demacia	10.70%	11.47%	9.15%	10.42%
PnZ	10.09%	10.09%	10.57%	9.90%
Ionia	7.52%	8.07%	6.86%	7.15%
Freljord	5.52%	5.28%	5.19%	5.90%
ShadowIsles	5.27%	5.31%	6.19%	4.89%
MtTargon	4.69%	5.20%	4.46%	4.21%
Patch 2.18 - Week 2 Ranked games from 2021-10-27 21:00:00 UTC to 2021-11-03 21:00:00 UTC Metadata of games collected with RiotGames API

Champions Combinations

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

Play Rates

Pyke/Rek'Sai

10.4%

10.2%

10.3%

Poppy/Zed (DE/IO)

8.4%

8.0%

8.8%

Draven/Sion (NX/PZ)

5.1%

4.9%

7.2%

4.5%

Senna/Veigar (BC/SI)

4.4%

3.7%

6.5%

4.2%

Poppy/Ziggs (BC/NX)

4.1%

3.4%

2.6%

5.5%

Gangplank/Sejuani

4.0%

3.7%

3.0%

4.8%

Fizz/Poppy (BC/NX)

3.2%

3.5%

3.2%

2.8%

Gangplank/Twisted Fate (BC/BW)

3.0%

3.4%

2.4%

2.7%

Akshan/Sivir (DE/SH)

2.6%

3.2%

2.2%

Draven/Viktor

2.4%

2.1%

2.2%

2.9%

Swain/Teemo (BC/NX)

2.2%

1.7%

1.1%

3.1%

Dragons (DE/MT)

2.1%

2.2%

2.4%

2.0%

Riven/Swain (BC/NX)

1.9%

2.0%

3.3%

1.2%

Sejuani/Teemo (BC/FR)

1.8%

1.6%

0.7%

2.4%

Miss Fortune/Poppy (BW/DE)

1.6%

1.8%

0.8%

1.8%

Ekko/Zilean

1.4%

1.6%

2.3%

0.8%

Lee Sin/Zoe

1.3%

1.8%

0.5%

1.1%

Thresh/Viego (IO/SI)

1.3%

1.4%

1.0%

Caitlyn/Teemo (BC/PZ)

1.3%

1.2%

0.6%

1.6%

Lissandra/Taliyah

1.2%

1.0%

0.6%

1.8%

1–20 of 2440 rows

...

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

Poppy/Zed (DE/IO)

7.3%

5.8%

8.9%

7.8%

Pyke/Rek'Sai

7.1%

6.5%

4.6%

8.8%

Draven/Sion (NX/PZ)

7.0%

7.2%

8.6%

5.9%

Gangplank/Sejuani

5.3%

2.2%

6.8%

Gangplank/Twisted Fate (BC/BW)

4.5%

5.7%

2.6%

4.3%

Senna/Veigar (BC/SI)

4.2%

3.5%

7.1%

3.5%

Poppy/Ziggs (BC/NX)

4.0%

2.1%

1.4%

7.1%

Fizz/Poppy (BC/NX)

3.8%

5.3%

2.1%

3.2%

Swain/Teemo (BC/NX)

3.3%

3.1%

1.3%

4.6%

Akshan/Sivir (DE/SH)

3.2%

4.6%

1.1%

2.8%

Lee Sin/Zoe

2.7%

3.7%

0.7%

2.7%

Draven/Viktor

2.5%

1.3%

4.7%

2.5%

Renekton/Sivir (FR/SH)

2.2%

1.3%

0.4%

3.9%

Fizz/Lulu/Poppy (BC/NX)

2.2%

0.5%

5.0%

2.4%

Miss Fortune/Poppy (BW/DE)

2.2%

2.6%

0.6%

2.5%

Sejuani/Teemo (BC/FR)

1.8%

1.0%

0.2%

3.4%

Riven/Swain (BC/NX)

1.8%

2.0%

3.3%

0.8%

Ekko/Zilean

1.5%

2.9%

1.4%

0.2%

Lux/Poppy (BC/DE)

1.3%

1.1%

0.5%

1.8%

Lissandra/Taliyah

1.2%

0.9%

0.7%

1.7%

1–20 of 611 rows

...

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).

Win Rates

Tie games are excluded / only games from ‘Old’ Master

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

Pyke/Rek'Sai (3)

50.0%

15577

31164

10.4%

americas, asia, europe

Poppy/Zed (DE/IO) (3)

55.3%

13916

25143

8.4%

americas, asia, europe

Draven/Sion (NX/PZ) (3)

54.7%

8370

15308

5.1%

americas, asia, europe

Senna/Veigar (BC/SI) (3)

50.8%

6672

13127

4.4%

americas, asia, europe

Poppy/Ziggs (BC/NX) (3)

53.9%

6678

12383

4.1%

americas, asia, europe

Gangplank/Sejuani (3)

54.8%

6614

12079

4.0%

americas, asia, europe

Fizz/Poppy (BC/NX) (3)

51.8%

4937

9524

3.2%

americas, asia, europe

Gangplank/Twisted Fate (BC/BW) (3)

54.2%

4842

8939

3.0%

americas, asia, europe

Akshan/Sivir (DE/SH) (3)

53.1%

4208

7927

2.6%

americas, asia, europe

Draven/Viktor (3)

50.8%

3701

7290

2.4%

americas, asia, europe

1–10 of 23 rows

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

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

Match Ups

Note:: only games from Last-Season Master

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”.

The win rates on the grid are among the 15 most played champion combination. The upper value is from all the Last-Season Masters, the bottom one only from the current Current Masters. MU with less than 30 games are not included.

	Pyke/Rek'Sai	Poppy/Zed (DE/IO)	Draven/Sion (NX/PZ)	Senna/Veigar (BC/SI)	Poppy/Ziggs (BC/NX)	Gangplank/Sejuani	Fizz/Poppy (BC/NX)	Gangplank/Twisted Fate (BC/BW)	Akshan/Sivir (DE/SH)	Draven/Viktor	Swain/Teemo (BC/NX)	Dragons (DE/MT)	Riven/Swain (BC/NX)	Sejuani/Teemo (BC/FR)	Miss Fortune/Poppy (BW/DE)
Pyke/Rek'Sai	NA (NA)	40.1% (39.2%)	33.9% (28.5%)	50.4% (48.6%)	39.7% (50.5%)	45.0% (39.4%)	44.0% (39.2%)	42.9% (34.0%)	47.6% (47.7%)	50.5% (54.9%)	49.9% (45.8%)	72.1% (NA)	53.5% (NA)	38.9% (27.9%)	51.8% (60.3%)
Poppy/Zed (DE/IO)	59.9% (60.8%)	NA (NA)	47.7% (46.3%)	66.5% (50.5%)	47.6% (41.6%)	57.4% (54.7%)	56.6% (56.7%)	45.1% (41.7%)	53.6% (51.5%)	55.8% (50.0%)	40.2% (41.5%)	55.9% (NA)	42.9% (51.2%)	59.9% (NA)	42.5% (36.2%)
Draven/Sion (NX/PZ)	66.1% (71.5%)	52.3% (53.7%)	NA (NA)	39.7% (38.8%)	64.8% (56.1%)	47.0% (52.9%)	58.9% (60.2%)	43.3% (40.6%)	67.8% (67.1%)	53.4% (57.8%)	51.9% (53.7%)	68.3% (NA)	60.8% (54.8%)	39.6% (21.9%)	63.8% (63.0%)
Senna/Veigar (BC/SI)	49.6% (51.4%)	33.5% (49.5%)	60.3% (61.2%)	NA (NA)	51.7% (42.9%)	46.2% (40.6%)	35.6% (37.9%)	54.9% (50.0%)	40.2% (53.1%)	58.9% (52.9%)	42.5% (45.7%)	45.1% (NA)	46.1% (NA)	69.5% (NA)	40.1% (36.7%)
Poppy/Ziggs (BC/NX)	60.3% (49.5%)	52.4% (58.4%)	35.2% (43.9%)	48.3% (57.1%)	NA (NA)	50.6% (50.0%)	45.0% (41.7%)	36.5% (37.3%)	50.9% (NA)	52.2% (NA)	66.0% (67.3%)	67.9% (NA)	54.1% (NA)	63.0% (67.8%)	42.6% (NA)
Gangplank/Sejuani	55.0% (60.6%)	42.6% (45.3%)	53.0% (47.1%)	53.8% (59.4%)	49.4% (50.0%)	NA (NA)	50.4% (60.6%)	55.7% (65.4%)	59.0% (61.0%)	46.2% (NA)	59.1% (53.2%)	49.6% (NA)	60.1% (NA)	57.9% (61.1%)	46.3% (57.9%)
Fizz/Poppy (BC/NX)	56.0% (60.8%)	43.4% (43.3%)	41.1% (39.8%)	64.4% (62.1%)	55.0% (58.3%)	49.6% (39.4%)	NA (NA)	31.6% (29.3%)	43.5% (42.6%)	35.0% (NA)	42.8% (45.0%)	61.9% (NA)	43.0% (NA)	58.3% (NA)	51.6% (NA)
Gangplank/Twisted Fate (BC/BW)	57.1% (66.0%)	54.9% (58.3%)	56.7% (59.4%)	45.1% (50.0%)	63.5% (62.7%)	44.3% (34.6%)	68.4% (70.7%)	NA (NA)	46.1% (44.9%)	66.1% (NA)	55.8% (59.0%)	50.6% (NA)	55.9% (NA)	54.0% (NA)	48.7% (43.8%)
Akshan/Sivir (DE/SH)	52.4% (52.3%)	46.4% (48.5%)	32.2% (32.9%)	59.8% (46.9%)	49.1% (NA)	41.0% (39.0%)	56.5% (57.4%)	53.9% (55.1%)	NA (NA)	50.9% (NA)	50.0% (63.4%)	69.4% (NA)	51.1% (NA)	45.0% (NA)	45.1% (NA)
Draven/Viktor	49.5% (45.1%)	44.2% (50.0%)	46.6% (42.2%)	41.1% (47.1%)	47.8% (NA)	53.8% (NA)	65.0% (NA)	33.9% (NA)	49.1% (NA)	NA (NA)	46.2% (NA)	56.4% (NA)	51.3% (NA)	42.5% (NA)	50.0% (NA)
Swain/Teemo (BC/NX)	50.1% (54.2%)	59.8% (58.5%)	48.1% (46.3%)	57.5% (54.3%)	34.0% (32.7%)	40.9% (46.8%)	57.2% (55.0%)	44.2% (41.0%)	50.0% (36.6%)	53.8% (NA)	NA (NA)	60.8% (NA)	54.3% (NA)	69.2% (NA)	47.1% (47.4%)
Dragons (DE/MT)	27.9% (NA)	44.1% (NA)	31.7% (NA)	54.9% (NA)	32.1% (NA)	50.4% (NA)	38.1% (NA)	49.4% (NA)	30.6% (NA)	43.6% (NA)	39.2% (NA)	NA (NA)	50.4% (NA)	49.5% (NA)	45.9% (NA)
Riven/Swain (BC/NX)	46.5% (NA)	57.1% (48.8%)	39.2% (45.2%)	53.9% (NA)	45.9% (NA)	39.9% (NA)	57.0% (NA)	44.1% (NA)	48.9% (NA)	48.7% (NA)	45.7% (NA)	49.6% (NA)	NA (NA)	60.2% (NA)	59.5% (NA)
Sejuani/Teemo (BC/FR)	61.1% (72.1%)	40.1% (NA)	60.4% (78.1%)	30.5% (NA)	37.0% (32.2%)	42.1% (38.9%)	41.7% (NA)	46.0% (NA)	55.0% (NA)	57.5% (NA)	30.8% (NA)	50.5% (NA)	39.8% (NA)	NA (NA)	34.9% (NA)
Miss Fortune/Poppy (BW/DE)	48.2% (39.7%)	57.5% (63.8%)	36.2% (37.0%)	59.9% (63.3%)	57.4% (NA)	53.7% (42.1%)	48.4% (NA)	51.3% (56.2%)	54.9% (NA)	50.0% (NA)	52.9% (52.6%)	54.1% (NA)	40.5% (NA)	65.1% (NA)	NA (NA)
The upper value is from Last-Season Masters while the bottom value is from New Masters. 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 Plat+ (change to Master once the ladder is more populated). Source: Metadata of games collected with RiotGames API

Player

Opponent

#Win 01,73800002004006008001,0001,2001,4001,6001,738

#Games 03,47600004008001,2001,6002,0002,4002,8003,2003,476

WinRate 0100000.10.20.30.40.50.60.70.80.91

Akshan/Ekko

Poppy/Zed (DE/IO)

161

17.4%

(11.9% - 24.1%)

Akshan/Ekko

Pyke/Rek'Sai

206

38.8%

(32.1% - 45.9%)

Akshan/Sivir (DE/SH)

125

250

50.0%

(43.6% - 56.4%)

Akshan/Sivir (DE/SH)

Caitlyn/Teemo (BC/PZ)

103

57.3%

(47.2% - 67.0%)

Akshan/Sivir (DE/SH)

Dragons (DE/MT)

118

170

69.4%

(61.9% - 76.2%)

Akshan/Sivir (DE/SH)

Draven/Sion (NX/PZ)

134

416

32.2%

(27.7% - 36.9%)

Akshan/Sivir (DE/SH)

Draven/Viktor

161

50.9%

(42.9% - 58.9%)

Akshan/Sivir (DE/SH)

Ekko/Zilean

117

52.1%

(42.7% - 61.5%)

Akshan/Sivir (DE/SH)

Fizz/Poppy (BC/NX)

148

262

56.5%

(50.2% - 62.6%)

Akshan/Sivir (DE/SH)

Gangplank/Sejuani

149

363

41.0%

(35.9% - 46.3%)

1–10 of 445 rows

...

Deck of the week

I was planning to use my favourite deck as I was in a hurry but then I found among the “Win Marathon Leaders” an Aphelios/Lux

Do I even have to say more? Always invest in meme

Aphelios/Lux

Playrate (N: 75)

Lux

100.0%

0.0%

Aphelios

100.0%

0.0%

Sharpsight

84.0%

77.8%

22.2%

0.0%

Pale Cascade

82.7%

93.5%

6.5%

0.0%

Concerted Strike

80.0%

56.7%

36.7%

6.7%

Solari Priestess

77.3%

81.0%

5.2%

13.8%

Guiding Touch

76.0%

87.7%

12.3%

0.0%

Lunari Duskbringer

76.0%

86.0%

14.0%

0.0%

Hush

76.0%

0.0%

29.8%

70.2%

Single Combat

74.7%

26.8%

58.9%

14.3%

The Sky Shadows

73.3%

100.0%

0.0%

Vanguard Sergeant

70.7%

26.4%

73.6%

0.0%

Starshaping

69.3%

36.5%

63.5%

0.0%

Radiant Guardian

60.0%

4.4%

82.2%

13.3%

Spacey Sketcher

54.7%

9.8%

90.2%

0.0%

Riposte

48.0%

0.0%

86.1%

13.9%

Sunburst

46.7%

25.7%

57.1%

17.1%

The Veiled Temple

36.0%

55.6%

44.4%

0.0%

Remembrance

29.3%

90.9%

9.1%

0.0%

Gifts From Beyond

28.0%

61.9%

33.3%

4.8%

1–20 of 52 rows

LoR-Meta Index (LMI)

Tier0 with LMI >= 97.5
Tier1 with LMI [85,97.5)
Tier2 with LMI [60,85)
Tier3 or lower 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
Gnomdeguerre	18	Fizz/Poppy (BC/NX)	CQBQCAIDG4AQEAYJBACQUKLUQQA2MANHAGXQDQQBYYAQGAIBAMXACAQGFYBQKCQBTAA4AAIA
Cristianovich	15	Draven/Sion (NX/PZ)	CECACAIDCQAQIBAQAMCQGAIJBUCACBBGE4WTIBIBAEBS4AIBAQAQCAQDBEAQGBASAECQGBADAEAQGMYBAMBQ6AIEAQBQ
Coda	14	Poppy/Ziggs (BC/NX)	CQBQEAQDAMCAGAIDAIGCQCAFBIDSSMKJMB2KGANGAEAACAIFBJCQ
Kevor24	14	Lee Sin/Zoe	CIBQCAICBQBQEAQDAUDAIAYJBERTHVYBAQAQCARRAECAEFACAIBAQCIDAMERWVLAAIAQCAQCAEBQEFA
MeMaanhc	14	Pyke/Rek'Sai	CMBAKBAGAEBQKBYPBACAOAITCY3ECRCKKAAACAIEAYCA
MF YUP3G0	14	Draven/Sion (NX/PZ)	CECACAIDCQAQIBAQAMCQGAIJBUCQCBABEYTS2NADAEAQGLQBAIBQSAIDAQJAIAIBAMZQCAYDB4AQIBADAECQGBA
shirumero	14	Fizz/Poppy/Teemo (BC/NX)	CQBACAIDG4EAKCQBOSCADJQBU4A26AOCAHDACAYBAIDC4AICAMEQGBIKFGMADQABAMAQCBAIAEBQGDIBAUFKAAI
WaitingForSoup	14	Fizz/Poppy (BC/NX)	CQBQCAIDG4AQEAYJBICQUAJJOSCADGABUYA2OANPAHBADRQBAEAQEBROAEBAKCVAAHAAC
Asia
Usamarer	17	Draven/Sion (NX/PZ)	CECACBAECABACAYUFYBQKAYBBEGQIAIEEYTS2NAEAEBAGCIBAMBQ6AIDAQJACBIDAQBACAIDGMAQCBAB
ゆうぎ	14	Draven/Sion (NX/PZ)	CECQCAIDCQAQGAYPAECAIEADAUBQCCINAQAQIJRHFU2AIAIBAMXACAIEAEAQEAYJAEBQIEQCAEAQGMYBAUBQI
아슬927	14	Poppy/Zed (DE/IO)	CQDQCAQAA4AQGAAOAEBQECQBAQAAEAIFBIUQEAIABEOQIAICAYEQYOIDAEAQAFIBAEBBCAIDAIKACAIBAASQ
Phoenix	14	Trundle/Tryndamere (FR/SI)	CECACBABBYBACBI5FABQGAIGBILAIAIBAMGCOMQCAEAQKAICAEAQCFADAEAQKDYBAMAQSAQEAUOTQ
Europe
Shunpo	15	Caitlyn/Ezreal (NX/PZ)	CQCQCAIDFYAQEAYJAEBQIEIDAECB6JBUAMCQIBQMBUCQCAIEDMAQGAYNAECAGCQBAUFJQAICAEBTGNYBAEAQGFQ
Barbirose	14	Swain/Teemo (BC/NX)	CQCACAIEBABACAZOG4CAEAYBA4EASBIFBINDCRMEAGTACAICAUFK6AOGAEAA
Oslow Cosimo	14	Poppy/Ziggs (BC/NX)	CQBQEAQDAMCAGAIDAIGCQCAFBIDSSMKFJF2KGANGAEAACAIFBI2A
Painas	14	Draven/Sion (NX/PZ)	CECQCAIDCQAQGBASAECAIEAEAECCMJZNGQCAKAYBAYEQ2AYBAECACAIDAMHQCBIDAQAQCAIDFY
papertorp	14	Aphelios/Lux	CICACAIAFIAQEAABAEBQADQGAMESGM2JMDMADWIBAIBAGCKUKYCACAAGB4NCKAIBAMEVK
Teddy314	14	Poppy/Taric (DE/MT)	CQCQCAYABYAQIAACAECQUKIEAEAAMCILDUCAGCJDHJDVYAICAMEVCWACAEBAABYCAEABKIA
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

It seems that not even Twin Disciple can beat Sharsight

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

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THE META REPORT NAME IS TOO LONG, TOO DAMN LONG (n°30)

Author

Affiliation

Published

DOI

Data

Regions

Play Rate

Play Rate by number of Cards

Champions Combinations

Play Rates

Day by Day

Win Rates

Match Ups

Deck of the week

LoR-Meta Index (LMI)

Win Marathons Leaders

Cards Presence

Legal bla bla

Footnotes