THE SEASONAL REPORT IS VAST (n°4)

Seasonal Tournament - Magic Disadventure - Open Rounds

Valentino (Legna) Vazzoler
02-05-2022

Data

Number of (Ranked) matches analyzed 18284 or 36568 games.

Last Update: 2022-02-06 18:15

Seasonal Open Rounds - by the Numbers
Players coverage reached regarding the Seasonal Tournament - Magic Disadventure - Open Rounds
Server Players Games
Apac 682 8352
Europe 1008 14186
Americas 998 13142
Source: Source: Metadata of games collected with RiotGames API

Matches Coverage

Seasonal Open Rounds - by the Numbers
Match coverage reached regarding the Seasonal Tournament - Magic Disadventure - Open Rounds
Apac1 Europe1 America1
round
1 576 934 926
2 564 880 856
3 522 816 774
4 464 722 674
5 286 624 578
6 298 538 458
7 252 468 400
8 216 404 332
9 202 358 308
Source: Source: Metadata of games collected with RiotGames API

1 n

Missing Games

The following data is related to the the number of games missing to recreate a match.So when I could only collect either a win or a loss or both a win and a loss but not the remaining game. It is not the total number of missing games as it doesn’t account for the cases where I lack all games but that value can’t be known as it’s impossible to know whenever the round was played or not.

During the partial results is the graph is lacking I recovered all games I could up until that moment.

Decks

As this is the Seasonal Tournament let’s start with the decks/archetype informations

This is also the moment of the meta where the classification Archetype = Champion+Region shows its biggest limitation as there are an increase in tech champions (usually in single copy)

Deck's Stats

Seasonal Tournament - Magic Disadventure - Open Rounds

Relative frequencies from all data or only lineUps with full information Source: Metadata of games collected with RiotGames API

• Ban Rate: ratio between the number of bans and the number of matches of a deck.

$$$BanRate = \frac{\#ban}{\#match}$$$

Example: 2 Line-Ups contained a Teemo/Ezreal deck, both played all 9 matches and Teemo/Ezreal was banned respectively 3 and 6 times; the ban rate would be $$\frac{(3+6)}{(9+9)} = 50\%$$

• PlayRate: ratio between the number of times a deck appears among all lineUps (both including or not incomplete lineUps data) and the number of all decks in all lineUps.

LineUp's Playrates

Seasonal Tournament - Magic Disadventure - Open Rounds

Data from only full Line-Ups. Source: Source: Metadata of games collected with RiotGames API FALSE

Archetype name “Fix”

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

LMI

• Tier0 with LMI >= 97.5

• Tier1 with LMI $$\in$$ [85,97.5)

• Tier2 with LMI $$\in$$ [60,85)

• Tier3 or lower with LMI < 60

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

The LMI 1 2 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.

Table version

Best Performing Decks at the Seasonal
LMI of best performing decks at Seasonal tournament - Beyond the Bandlewood
deck LMI Tier WinRate BanRate PlayRate Ladder WinRate
Ahri/Kennen (IO/SI) 100 Tier0
51.1%
(1194/2336)
53.9%
(1779/3302)
26.3%
(655)
54.7%
Senna/Veigar 97 Tier1
51.2%
(1468/2868)
38.8%
(1121/2887)
24.6%
(613)
52.3%
Ahri/Kennen (IO/SH) 97 Tier1
51.0%
(695/1363)
51.8%
(956/1847)
16.2%
(405)
56.2%
Miss Fortune/Quinn 94 Tier1
54.5%
(1100/2020)
37.2%
(774/2081)
17.3%
(432)
55.3%
Pantheon/Taric (DE/MT) 92 Tier1
51.8%
(1178/2273)
33.8%
(746/2208)
19.4%
(485)
55.0%
Fizz/Lulu (BC/PZ) 90 Tier1
55.3%
(1152/2083)
26.3%
(481/1828)
15.2%
(378)
55.3%
Trundle/Tryndamere (FR/SI) 88 Tier1
48.9%
(395/807)
40.7%
(338/830)
7.2%
(179)
53.2%
Elise/Trundle 86 Tier1
51.3%
(293/571)
29.8%
(150/504)
4.8%
(119)
52.5%
Elise (NX/SI) 84 Tier2
50.1%
(806/1609)
33.5%
(500/1494)
13.7%
(342)
50.0%
Ahri/Lulu (IO/PZ) 82 Tier2
54.7%
(157/287)
41.5%
(139/335)
2.6%
(65)
56.2%
Pantheon/Shyvana 80 Tier2
49.0%
(607/1239)
32.2%
(377/1171)
10.7%
(267)
51.7%
Gangplank/Miss Fortune (BW/NX) 78 Tier2
53.0%
(455/859)
25.9%
(187/723)
7.1%
(176)
52.1%
Akshan/Sivir (DE/SH) 76 Tier2
51.9%
(761/1465)
25.4%
(318/1254)
10.5%
(262)
51.2%
Lee Sin/Zoe 74 Tier2
52.2%
(979/1875)
25.6%
(412/1612)
13.8%
(343)
48.1%
Elise/Kindred/Vi 72 Tier2
59.3%
(182/307)
26.6%
(77/290)
2.3%
(57)
52.5%
Lissandra/Taliyah 70 Tier2
45.3%
(177/391)
36.5%
(143/392)
3.6%
(89)
49.5%
Gangplank/Miss Fortune/Twisted Fate (BW/NX) 68 Tier2
58.3%
(126/216)
24.9%
(50/201)
1.8%
(44)
60.4%
Anivia (FR/SI) 66 Tier2
47.4%
(130/274)
46.0%
(143/311)
2.7%
(68)
46.7%
Kindred/Viego (IO/SI) 64 Tier2
45.6%
(199/436)
36.4%
(147/404)
3.6%
(91)
47.2%
Pyke/Rek'Sai 61 Tier2
50.5%
(769/1524)
21.5%
(246/1144)
10.5%
(263)
51.3%
Ahri/Kennen (DE/IO) 61 Tier2
39.4%
(41/104)
53.6%
(74/138)
1.4%
(35)
51.4%
Jayce/Lux 58 Tier3
51.9%
(203/391)
24.5%
(77/314)
2.9%
(72)
51.1%
Championless (FR/PZ) 56 Tier3
42.3%
(224/530)
28.7%
(123/428)
4.5%
(111)
50.4%
Elise/Kindred (FR/SI) 54 Tier3
54.4%
(43/79)
37.8%
(28/74)
0.6%
(15)
58.0%
Draven/Rumble (NX/PZ) 52 Tier3
51.5%
(233/452)
24.5%
(90/367)
3.3%
(83)
49.4%
Aurelion Sol/Thresh 50 Tier3
59.4%
(79/133)
32.0%
(41/128)
1.0%
(26)
44.8%
Xerath/Zilean (BC/SH) 47 Tier3
47.7%
(144/302)
29.7%
(74/249)
2.3%
(58)
47.0%
Lissandra/Trundle (FR/SI) 47 Tier3
53.8%
(49/91)
39.4%
(37/94)
0.7%
(18)
44.8%
BandleTree 44 Tier3
47.2%
(235/498)
28.9%
(121/418)
3.8%
(96)
46.2%
Gangplank/Twisted Fate (BC/BW) 42 Tier3
56.5%
(39/69)
30.6%
(19/62)
0.6%
(14)
54.5%
Kindred/Lux 40 Tier3
46.9%
(90/192)
29.6%
(48/162)
1.5%
(37)
50.4%
Pantheon (DE/MT) 38 Tier3
42.2%
(138/327)
26.1%
(66/253)
2.7%
(68)
51.9%
Gangplank/Sejuani 36 Tier3
42.1%
(217/515)
23.1%
(91/394)
4.3%
(107)
48.6%
Taliyah/Ziggs 34 Tier3
50.9%
(237/466)
18.2%
(65/358)
3.2%
(79)
49.0%
Elise/Kindred (PZ/SI) 31 Tier3
48.8%
(60/123)
33.3%
(40/120)
1.0%
(25)
49.5%
Sejuani/Trundle/Tryndamere (FR/IO) 31 Tier3
50.0%
(42/84)
29.5%
(23/78)
0.6%
(16)
54.0%
Diana/Nocturne 28 Tier3
51.6%
(147/285)
15.1%
(33/219)
1.8%
(45)
51.7%
Darius/Elise 26 Tier3
40.0%
(32/80)
41.0%
(32/78)
0.9%
(22)
46.9%
Dragons (DE/MT) 24 Tier3
45.3%
(63/139)
30.0%
(36/120)
1.3%
(32)
48.3%
Nami/Twisted Fate (BW/PZ) 22 Tier3
55.1%
(108/196)
21.5%
(34/158)
1.3%
(32)
47.5%
Lulu/Zed (DE/IO) 19 Tier3
38.9%
(58/149)
34.1%
(43/126)
1.4%
(34)
45.4%
Swain/Teemo (BC/NX) 19 Tier3
37.3%
(28/75)
35.7%
(20/56)
0.8%
(19)
48.9%
Caitlyn/Teemo (BC/PZ) 16 Tier3
41.7%
(98/235)
21.0%
(35/167)
1.7%
(42)
45.4%
Ekko/Zilean 14 Tier3
51.8%
(117/226)
12.5%
(19/152)
1.4%
(35)
45.2%
Maokai/Nautilus 12 Tier3
39.9%
(79/198)
21.1%
(28/133)
1.5%
(37)
41.6%
Soraka/Tahm Kench 10 Tier3
43.4%
(56/129)
27.8%
(25/90)
1.0%
(26)
44.1%
Diana/Zoe (BC/MT) 8 Tier3
45.1%
(93/206)
19.3%
(31/161)
1.4%
(34)
43.2%
Heimerdinger/Jayce (PZ/SI) 6 Tier3
50.6%
(40/79)
16.4%
(10/61)
0.6%
(16)
51.9%
Azir/Irelia 4 Tier3
44.2%
(53/120)
22.9%
(19/83)
0.9%
(22)
46.9%
Ezreal/Karma 2 Tier3
43.5%
(30/69)
17.0%
(9/53)
0.3%
(8)
38.6%
Top 50 Decks with at least 50 games being played

Playrate: 3*(times a deck is being played)/#Decks in all lineUps. Example: Assuming I only have complete information of all lineUps - if there are 6 copies of Tahm Soraka in 24 Decks the playrate is 75% (18/24) as there can't be duplicates in LineUps. The value here includes incomplete lineUps. WinRate: Among the games in which a deck is being played, how many times it won. BanRate: How many times a deck has been banned among all the ban phases of all lineUps which included such deck. Example: 2 Line-Ups contained a Teemo/Ezreal deck, both played all 9 matches and Teemo/Ezreal was banned respectively 3 and 6 times; the ban rate would be (3+6)/(9+9) = 50% Source: Source: Metadata of games collected with RiotGames API Last Update: 2022-02-06 17:16:12.306955

Regions

Play Rate

Plot

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.

Table

Region Play Rate
Relative Frequencies by Inclusion Rate of a Region
region freq Shard
apac europe americas
SI 17.39% 17.40% 16.51% 18.27%
DE 12.45% 12.53% 12.63% 12.21%
IO 12.40% 12.05% 12.36% 12.68%
MT 9.79% 9.24% 9.98% 9.97%
BC 9.70% 10.09% 9.82% 9.30%
SH 8.87% 9.00% 9.45% 8.18%
BW 8.37% 8.54% 8.06% 8.58%
PZ 7.90% 8.46% 7.62% 7.82%
NX 7.07% 6.64% 7.43% 6.98%
FR 6.07% 6.05% 6.14% 6.01%
Source: Source: Metadata of games collected with RiotGames API

Top Player(?) Champions of Choice

This section is done before the release of the official top32 list from Riot.

• For the all Shards - Apac,Europe and America it displays those who reached at least 7 matches wins (not counting bye)

When partial results are being published, it’s not limited to the top32 but the current highest performing players collected at that point. As there are “Bye” that I can’t track the final results will never be perfect. 3

Table - All Server & Deckcodes

Remember that as I can’t collect “bye” the true top list may differ buy a lot.

Top Players' Deckcodes

Seasonal Tournament - Magic Disadventure - Open Rounds

Source: Source: Metadata of games collected with RiotGames API