THE META REPORT NAME IS TOO LONG, TOO DAMN LONG (n°26)

Patch 2.16 - Week 2 - Beyond the Bandlewood Seasonal Tournament waiting room


Author

Affiliation

Valentino (Legna) Vazzoler

 

Published

Oct. 5, 2021

DOI


Data

Number of (Ranked) matches analyzed 62083 or 124166 games.

Last Update: 2021-10-06 19:14

Note : following my recent analysis the following decks:

Have been aggregated into a single archetype: “ASZ - Sivir Ionia”

In addition a quick fix to account for the Rubin-baits (burn decks that pretend to be other archetypes) decks have been applied and they are called:

by the Numbers
Patch 2.16 second week / Master playerDecks1,2
Characteristic All Games Ranked
N = 125,8563 N = 62,0834
Status
Ranked 62,083 (49%)
Other 60,119 (48%)
Friendly 3,654 (2.9%)
Server
americas 55,163 (44%) 26,956 (43%)
asia 23,087 (18%) 11,813 (19%)
europe 47,606 (38%) 23,314 (38%)

1 Max datetime recovered: 2021-10-06 16:27:50 UTC from 2021-09-29 21:00:00 to 2021-10-06 21:00:00 UTC

2 EU Master playerDecks in the ladder: 1000 while number of possible Master playerDecks recovered is: 998

NA Master playerDecks in the ladder: 1120 while number of possible Master playerDecks recovered is: 1119

ASIA Master playerDecks in the ladder: 440 while number of possible Master playerDecks recovered is: 440

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 (%)

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) 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 Asia Europe
BandleCity 21.37% 21.52% 20.37% 21.71%
Noxus 18.27% 17.38% 18.61% 19.14%
Piltover 13.68% 12.74% 16.00% 13.60%
Bilgewater 10.59% 11.07% 9.16% 10.75%
ShadowIsles 7.57% 7.45% 8.12% 7.43%
MtTargon 6.56% 6.41% 5.86% 7.10%
Shurima 6.34% 6.51% 5.39% 6.61%
Demacia 6.30% 6.97% 6.21% 5.56%
Freljord 5.01% 4.99% 6.40% 4.33%
Ionia 4.30% 4.97% 3.88% 3.76%

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, with Lulu being the most notable case affected by this.

Region Play Rate
Relative Frequencies by number of times a Card within a Region is included in a Deck
Region Freq Shard
America Asia Europe
BandleCity 26.08% 26.31% 24.84% 26.45%
Noxus 14.77% 13.68% 15.69% 15.55%
PnZ 13.27% 12.24% 15.82% 13.17%
Bilgewater 11.68% 12.14% 10.63% 11.69%
MtTargon 7.04% 6.85% 6.18% 7.70%
Shurima 6.69% 6.88% 5.45% 7.11%
ShadowIsles 6.62% 6.64% 6.88% 6.48%
Demacia 5.73% 6.43% 5.49% 5.03%
Ionia 4.29% 4.94% 4.02% 3.68%
Freljord 3.82% 3.90% 4.99% 3.14%

Champions Combinations

Play Rates

Champions
Play Rate
America
Asia
Europe
Draven / Sion (NX/PZ)
14.5%
13.7%
17.4%
14.0%
Poppy / Ziggs (BC/NX)
10.2%
8.8%
9.0%
12.4%
Senna / Veigar (BC/SI)
7.7%
7.2%
7.7%
8.2%
Nami / Zoe
6.6%
6.0%
6.0%
7.6%
Fizz / Poppy (BC/NX)
4.0%
4.7%
1.4%
4.5%
Gangplank / Twisted Fate (BC/BW)
3.9%
5.1%
2.1%
3.4%
Gangplank / Sejuani
3.6%
3.5%
4.5%
3.3%
Akshan / Sivir (DE/SH)
3.4%
3.2%
2.2%
4.3%
Ezreal / Vi (BC/PZ)
3.1%
2.9%
2.7%
3.7%
Pyke / Rek'Sai
2.5%
2.7%
1.8%
2.8%
Lulu / Poppy (BC/DE)
2.1%
2.2%
2.2%
1.8%
Lee Sin / Zoe
2.0%
2.7%
0.8%
2.0%
Trundle / Tryndamere (FR/SI)
1.6%
1.7%
1.8%
1.4%
Lissandra / Taliyah
1.4%
1.8%
0.9%
1.2%
Caitlyn / Teemo (BC/PZ)
1.3%
0.9%
1.4%
1.7%
Poppy / Zed (DE/IO)
1.1%
0.7%
2.9%
0.6%
Sivir / Tristana (BC/SH)
0.9%
0.9%
1.3%
0.7%
Caitlyn / Draven
0.9%
0.9%
0.5%
1.1%
Lulu / Poppy (DE/IO)
0.8%
1.7%
0.3%
0.2%
Riven / Vi
0.8%
0.4%
1.3%
1.1%
1–20 of 1385 rows
...

Day by Day

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

Win Rates

Tie games are excluded

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
Draven / Sion (NX/PZ) (3)
57.0%
10267
18012
14.5%
americas, asia, europe
Poppy / Ziggs (BC/NX) (3)
51.8%
6552
12639
10.2%
americas, asia, europe
Senna / Veigar (BC/SI) (3)
50.1%
4773
9518
7.7%
americas, asia, europe
Nami / Zoe (3)
53.5%
4386
8201
6.6%
americas, asia, europe
Fizz / Poppy (BC/NX) (3)
54.3%
2690
4952
4.0%
americas, asia, europe
Gangplank / Twisted Fate (BC/BW) (3)
52.2%
2534
4859
3.9%
americas, asia, europe
Gangplank / Sejuani (3)
49.7%
2232
4490
3.6%
americas, asia, europe
Akshan / Sivir (DE/SH) (3)
49.9%
2103
4215
3.4%
americas, asia, europe
Ezreal / Vi (BC/PZ) (3)
47.9%
1864
3889
3.1%
americas, asia, europe
Pyke / Rek'Sai (3)
46.8%
1477
3156
2.5%
americas, asia, europe
1–10 of 16 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.
1

Champions
WinRate
#Win
#Games
Play Rate
Poppy / Teemo / Ziggs (BC/NX)
62.3%
81
130
0.1%
Draven / Viktor
59.0%
92
156
0.1%
Fizz / Lulu / Poppy (BC/PZ)
58.9%
198
336
0.3%
Fizz / Poppy / Ziggs (BC/NX)
56.8%
83
146
0.1%
Gangplank / Miss Fortune / Twisted Fate (BC/BW)
56.6%
324
572
0.5%
Poppy / Tristana (BC/DE)
55.8%
82
147
0.1%
Poppy / Teemo (BC/DE)
54.5%
494
906
0.7%
Lulu / Poppy (DE/IO)
54.2%
565
1043
0.8%
Lulu / Poppy / Zed (DE/IO)
54.1%
199
368
0.3%
Poppy / Teemo (BC/NX)
53.8%
78
145
0.1%

Match Ups

Note : 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, pls refer to the MU - page for a better “meta-investigation”.

The win rates on the grid are among the 15 most played champion combination.

MatchUps

Akshan / Sivir (DE/SH)

Caitlyn / Teemo (BC/PZ)

Draven / Sion (NX/PZ)

Ezreal / Vi (BC/PZ)

Fizz / Poppy (BC/NX)

Gangplank / Sejuani

Gangplank / Twisted Fate (BC/BW)

Lee Sin / Zoe

Lissandra / Taliyah

Lulu / Poppy (BC/DE)

Nami / Zoe

Poppy / Ziggs (BC/NX)

Pyke / Rek'Sai

Senna / Veigar (BC/SI)

Trundle / Tryndamere (FR/SI)

Akshan / Sivir (DE/SH)

52%

30%

59%

45%

44%

56%

53%

56%

40%

53%

45%

49%

59%

67%

Caitlyn / Teemo (BC/PZ)

48%

38%

37%

50%

50%

30%

46%

33%

36%

29%

31%

30%

50%

39%

Draven / Sion (NX/PZ)

70%

62%

55%

57%

52%

50%

29%

50%

69%

38%

68%

66%

55%

55%

Ezreal / Vi (BC/PZ)

41%

63%

45%

41%

38%

27%

68%

26%

52%

51%

40%

46%

47%

36%

Fizz / Poppy (BC/NX)

55%

50%

43%

59%

60%

40%

73%

52%

45%

42%

53%

63%

68%

78%

Gangplank / Sejuani

56%

50%

48%

62%

40%

47%

47%

41%

37%

47%

38%

54%

50%

50%

Gangplank / Twisted Fate (BC/BW)

44%

70%

50%

73%

60%

53%

39%

37%

53%

43%

44%

61%

43%

31%

Lee Sin / Zoe

47%

54%

71%

32%

27%

53%

61%

52%

40%

52%

69%

40%

35%

78%

Lissandra / Taliyah

44%

67%

50%

74%

48%

59%

63%

48%

41%

30%

36%

31%

50%

79%

Lulu / Poppy (BC/DE)

60%

64%

31%

48%

55%

63%

47%

60%

59%

58%

47%

51%

64%

60%

Nami / Zoe

47%

71%

62%

49%

58%

53%

57%

48%

70%

42%

44%

40%

50%

51%

Poppy / Ziggs (BC/NX)

55%

69%

32%

60%

47%

62%

56%

31%

64%

53%

56%

64%

53%

50%

Pyke / Rek'Sai

51%

70%

34%

54%

37%

46%

39%

60%

69%

49%

60%

36%

57%

65%

Senna / Veigar (BC/SI)

41%

50%

45%

53%

32%

50%

57%

65%

50%

36%

50%

47%

43%

58%

Trundle / Tryndamere (FR/SI)

33%

61%

45%

64%

22%

50%

69%

22%

21%

40%

49%

50%

35%

42%

301,38801503004506007509001,0501,2001,388
1002,77603006009001,2001,8002,4002,776
010.210.7900.10.20.30.40.50.60.70.80.91
Player
Opponent
#Win
#Games
WinRate
CI
Akshan / Sivir (DE/SH)
Akshan / Sivir (DE/SH)
70
140
50.0%
(41.4% - 58.6%)
Akshan / Sivir (DE/SH)
Draven / Sion (NX/PZ)
185
627
29.5%
(26.0% - 33.2%)
Akshan / Sivir (DE/SH)
Ezreal / Vi (BC/PZ)
80
135
59.3%
(50.5% - 67.6%)
Akshan / Sivir (DE/SH)
Fizz / Poppy (BC/NX)
72
160
45.0%
(37.1% - 53.1%)
Akshan / Sivir (DE/SH)
Gangplank / Sejuani
70
158
44.3%
(36.4% - 52.4%)
Akshan / Sivir (DE/SH)
Gangplank / Twisted Fate (BC/BW)
92
164
56.1%
(48.1% - 63.8%)
Akshan / Sivir (DE/SH)
Nami / Zoe
159
299
53.2%
(47.3% - 58.9%)
Akshan / Sivir (DE/SH)
Poppy / Ziggs (BC/NX)
183
410
44.6%
(39.8% - 49.6%)
Akshan / Sivir (DE/SH)
Pyke / Rek'Sai
55
112
49.1%
(39.5% - 58.7%)
Akshan / Sivir (DE/SH)
Senna / Veigar (BC/SI)
195
329
59.3%
(53.7% - 64.6%)
1–10 of 177 rows
...

Decks of the week

Another week another way to abuse Bandle

Sivir / Tristana (BC/SH)
Playrate (N: 1153)
Card
PlayRate
3
2
1
Sivir
100.0%
100.0%
0.0%
0.0%
Tristana
100.0%
100.0%
0.0%
0.0%
Bandle City Mayor
100.0%
100.0%
0.0%
0.0%
Loping Telescope
100.0%
100.0%
0.0%
0.0%
Tenor of Terror
100.0%
95.3%
4.7%
0.0%
Buster Shot
99.7%
97.5%
2.5%
0.0%
The Absolver
99.5%
94.2%
5.8%
0.0%
Bomber Twins
99.1%
78.1%
21.9%
0.0%
Treasure Seeker
99.0%
92.0%
8.0%
0.0%
Shell Game
98.5%
43.5%
49.0%
7.5%
Proto Poro
93.3%
67.4%
28.2%
4.5%
Pokey Stick
92.2%
95.7%
2.2%
2.2%
Minimorph
91.8%
0.9%
88.6%
10.5%
Poro Sled
69.2%
0.0%
95.6%
4.4%
Hidden Pathways
36.6%
2.6%
78.2%
19.2%
Aloof Travelers
36.0%
34.0%
55.2%
10.8%
Yordles in Arms
15.0%
20.8%
50.9%
28.3%
Bandle Commando
13.1%
91.4%
4.6%
4.0%
Yordle Ranger
12.1%
32.4%
66.2%
1.4%
Quicksand
10.1%
0.0%
4.3%
95.7%
1–20 of 51 rows

LoR-Meta Index (LMI)

New: added a Tier classification of decks based on their LMI value. This is more experimental and not as strict as a result of one of my analysis (in this case it’s a first glimpse to the distribution of the LMI values). The classification is as follows:

This method will be improved in the next weeks, maybe adding the ban rate which can be extracted from Gauntlet and Bo3 Friendly Matches.

Note:Hovering over a circle will display a deck values.

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.

0.40.60.81.00.40.60.81.0
Tier0Tier1Tier2Tier3 or lowerLoR-Meta Index (LMI)WR IndexFreq IndextierLMI

Win Marathons Leaders

New: 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.

Cards Presence

It seems that not even Twin Disciple can beat Sharsight

 

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

Region BW DE IO MT NX PZ SH SI
1 Plunder Poro Redoubled Valor Nimble Poro Crystal Ibex Trifarian Shieldbreaker Parade Electrorig Ricochet Scuttlegeist
2 Sunk Cost For Demacia! Shadow Flare Sun Guardian Savage Reckoner Hextech Transmogulator Waking Sands Iron Harbinger
3 Boomship Vanguard Cavalry The Empyrean Porofly Affectionate Poro Sumpsnipe Scavenger Sandstone Chimera Stirred Spirits
4 Silverwing Diver Shadows of the Past Spiral Stairs Wrathful Rider Unstable Voltician Possession
5 Towering Stonehorn Encroaching Shadows
6 The Etherfiend

Legal bla bla

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.

Footnotes

  1. Min number of games 50, during the times a meta/ladder just changed.[↩]
  2. LMI - Early Theory[↩]
  3. LMI - Adding a Ban Index[↩]