# THE SEASONAL REPORT IS VAST (n°5)

Seasonal Tournament - A Curious Journey - Open Rounds

Valentino (Legna) Vazzoler
05-14-2022

# Data

Number of (Seasonal) matches analyzed 16391 or 32782 games.

Last Update: 2022-05-15 19:54

Seasonal Open Rounds - by the Numbers
Players coverage reached regarding the Seasonal Tournament - A Curious Journey - Open Rounds
Server Players Games
Apac 654 9018
Europe 817 11514
Americas 946 12250
Source: Source: Metadata of games collected with RiotGames API

### Matches Coverage

Seasonal Open Rounds - by the Numbers
Match coverage reached regarding the Seasonal Tournament - A Curious Journey - Open Rounds
Apac1 Europe1 America1
round
1 538 774 836
2 18 729 812
3 2 668 736
4 384 592 606
5 362 484 516
6 300 434 454
7 268 370 374
8 224 318 342
9 216 306 318
Source: Source: Metadata of games collected with RiotGames API As the bug affected the APAC second round making null lots of games, the very small number seen at round 2 and 3 should be because of assigned wins
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 - A Curious Journey - 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 - A Curious Journey - Open Rounds

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

### Archetype Name

Archetype ~Fix
Deck Source
ASZ - Sivir Ionia Akshan/Sivir (IO/SH) or Sivir/Zed or Akshan/Sivir/Zed
BandleTree 3 copies of BandleTree
Dragons (DE/MT) (DE/MT) Decks with *at least* Shyvana and ASol
Marauder (NX/FR) Two to Three copies of Both Legion Marauder and Strength in Numbers
Mistwraith Allegiance Three copies of both Mistwraith and Wraithcaller
Pirates (BW/NX) BW/NX deck with Miss Fortune and any of Twisted Fate, Gangplank
RubinBait - <Champ> Burn Deck using <Champ> to bait mulligan
Sentinel Control PnZ/SI deck any combination of Elise/Jayce/Vi
Kindred Control PnZ/SI deck any combination of Elise/Jayce/Vi AND Kindred
SunDisc Mono Shurima with 1+ Sun Disc - without Rek'Sai
Tri-Beam (NX/PZ) (NX/PZ) deck with at least 2 copies of Tri-Beam
Viktor - Shellfolk Viktor + at least one of Curious Shellfolk/Mirror Mage + at least 2 Trinket Trade

# 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
Pantheon/Yuumi (DE/MT) 100 Tier0
53.5%
(1367/2553)
41.0%
(1081/2634)
4.9%
(16008)
54.9%
Miss Fortune/Quinn 98 Tier0
55.1%
(873/1584)
42.2%
(693/1644)
2.4%
(8021)
56.5%
Aphelios/Fizz (BC/MT) 96 Tier1
54.8%
(1334/2436)
36.4%
(867/2382)
3.9%
(12878)
53.8%
Pirates (BW,NX) 94 Tier1
50.0%
(809/1619)
44.8%
(741/1655)
6.7%
(21817)
54.4%
Viego (SI/SH) 92 Tier1
51.3%
(1058/2061)
34.9%
(635/1818)
6.8%
(22172)
52.1%
Tri-Beam (NX/PZ) 90 Tier1
50.3%
(584/1162)
38.1%
(413/1085)
3.8%
(12347)
51.3%
Heimerdinger/Jayce (PZ/SI) 87 Tier1
55.5%
(279/503)
32.3%
(141/437)
2.3%
(7504)
52.9%
Pantheon/Taric/Yuumi (DE/MT) 87 Tier1
49.6%
(240/484)
39.6%
(182/460)
0.5%
(1613)
53.9%
Trundle/Tryndamere (FR/SI) 84 Tier2
46.6%
(573/1230)
43.0%
(512/1191)
4.9%
(16068)
50.8%
Taliyah/Ziggs 82 Tier2
51.4%
(1413/2748)
26.3%
(579/2201)
5.1%
(16811)
52.5%
Elise (NX/SI) 80 Tier2
49.8%
(336/675)
33.8%
(197/582)
0.7%
(2334)
53.7%
Draven/Rumble/Sion (NX/PZ) 78 Tier2
51.4%
(186/362)
36.8%
(132/359)
0.9%
(2905)
52.1%
Draven/Sion (NX/PZ) 76 Tier2
52.7%
(541/1026)
27.8%
(246/884)
2.0%
(6703)
52.4%
Sentinel Control 74 Tier2
47.9%
(215/449)
35.0%
(135/386)
1.1%
(3507)
52.5%
Akshan/Sivir (DE/SH) 71 Tier2
49.4%
(199/403)
34.8%
(112/322)
1.0%
(3207)
52.3%
Fizz/Riven (BC/NX) 71 Tier2
55.8%
(67/120)
38.9%
(51/131)
0.5%
(1784)
56.8%
Garen/Miss Fortune/Quinn 68 Tier2
57.9%
(62/107)
46.7%
(56/120)
0.2%
(790)
54.2%
Azir/Irelia 66 Tier2
49.5%
(234/473)
33.0%
(135/409)
1.5%
(5047)
50.8%
Teemo/Tristana (BC/IO) 63 Tier2
51.3%
(122/238)
32.1%
(69/215)
0.4%
(1161)
57.2%
Karma/Viktor 63 Tier2
56.8%
(105/185)
32.6%
(58/178)
1.0%
(3296)
51.2%
Ezreal/Kennen (IO/PZ) 60 Tier2
49.5%
(147/297)
35.4%
(80/226)
1.5%
(4946)
49.1%
Gnar/Ziggs (BC/NX) 58 Tier3
51.4%
(215/418)
18.4%
(57/310)
0.4%
(1347)
54.8%
Fizz/Lulu (BC/PZ) 56 Tier3
47.8%
(149/312)
30.5%
(76/249)
0.4%
(1179)
54.1%
SunDisc 54 Tier3
46.1%
(868/1883)
26.1%
(363/1391)
4.6%
(14909)
49.5%
Kindred/Viego (IO/SI) 52 Tier3
45.5%
(86/189)
45.3%
(97/214)
0.9%
(3056)
50.6%
Darius/Miss Fortune/Twisted Fate 50 Tier3
56.2%
(41/73)
37.8%
(28/74)
0.2%
(641)
58.7%
Darius/Gnar (FR/NX) 48 Tier3
47.5%
(164/345)
28.3%
(80/283)
0.7%
(2307)
52.3%
Viktor - Shellfolk 46 Tier3
57.7%
(64/111)
33.3%
(33/99)
0.9%
(2803)
50.4%
Senna/Veigar 44 Tier3
40.2%
(183/455)
32.6%
(122/374)
1.3%
(4179)
48.6%
Draven/Sion/Vi 42 Tier3
54.0%
(149/276)
26.3%
(61/232)
0.3%
(1125)
51.3%
Gangplank/Sejuani 40 Tier3
50.2%
(147/293)
27.8%
(63/227)
0.5%
(1504)
50.3%
Jayce/Lux 38 Tier3
50.4%
(143/284)
24.2%
(51/211)
1.4%
(4710)
50.8%
Kindred Sentinel 36 Tier3
63.0%
(46/73)
30.6%
(22/72)
0.2%
(518)
52.1%
Ekko/Zilean 34 Tier3
50.7%
(194/383)
16.2%
(44/271)
1.0%
(3272)
49.1%
Aphelios/Viktor 32 Tier3
48.2%
(119/247)
26.9%
(54/201)
0.6%
(2101)
48.7%
Riven/Viktor 29 Tier3
45.9%
(85/185)
27.8%
(40/144)
0.4%
(1269)
50.4%
Anivia (FR/SI) 29 Tier3
49.3%
(36/73)
40.5%
(30/74)
0.4%
(1181)
43.9%
Akshan/Lee Sin 25 Tier3
45.6%
(47/103)
32.3%
(30/93)
0.3%
(1116)
50.8%
Taliyah/Ziggs (MT/SH) 25 Tier3
57.0%
(49/86)
17.7%
(11/62)
0.1%
(409)
53.8%
Draven/Jinx 21 Tier3
51.8%
(57/110)
19.1%
(17/89)
0.3%
(1076)
50.7%
Lissandra/Taliyah 21 Tier3
51.5%
(51/99)
29.3%
(24/82)
0.3%
(834)
46.6%
Pyke/Rek'Sai 17 Tier3
39.9%
(91/228)
17.9%
(26/145)
1.2%
(4023)
48.0%
Diana/Nocturne 17 Tier3
41.9%
(57/136)
26.5%
(27/102)
0.7%
(2155)
50.0%
Aurelion Sol/Zoe (FR/MT) 14 Tier3
40.7%
(33/81)
33.3%
(19/57)
0.7%
(2194)
45.2%
Malphite/Taliyah 11 Tier3
39.9%
(69/173)
17.8%
(16/90)
0.7%
(2273)
47.3%
Maokai/Nautilus 11 Tier3
40.7%
(61/150)
17.9%
(14/78)
0.6%
(1855)
45.9%
Akshan/Udyr 8 Tier3
47.3%
(43/91)
23.9%
(16/67)
0.9%
(3110)
47.1%
Nasus/Viego 6 Tier3
53.0%
(35/66)
21.2%
(11/52)
0.3%
(994)
48.0%
Caitlyn/Teemo (BC/PZ) 4 Tier3
42.2%
(35/83)
19.1%
(9/47)
1.1%
(3597)
47.3%
Nasus/Thresh 2 Tier3
49.3%
(34/69)
18.2%
(8/44)
0.3%
(891)
49.3%
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: 2022-05-15 17:55:26.909568

# 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
nameRef freq Shard
apac europe americas
Shurima 14.19% 15.43% 13.71% 13.77%
BandleCity 12.08% 12.24% 11.75% 12.25%
Noxus 12.07% 11.51% 12.81% 11.81%
MtTargon 11.43% 10.04% 11.51% 12.31%
Piltover 11.39% 12.01% 11.68% 10.72%
Demacia 10.62% 9.67% 10.38% 11.47%
Bilgewater 7.51% 7.50% 7.34% 7.66%
Freljord 5.34% 5.39% 5.38% 5.27%
Ionia 3.70% 3.84% 3.57% 3.71%
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 APAC it displays at least 6 wins as two rounds have almost no data

For EMEA and NA it displays at least 8 wins as two rounds have almost no data

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 - A Curious Journey - Open Rounds

Source: Source: Metadata of games collected with RiotGames API