Patch 2.19 - Week 2 - BETWEEN WORLDS - Seasonal Tournament Open Rounds Waiting Room
Number of (Ranked) matches analysed 42325 or 84650 games. / Master
Number of (Ranked) matches analysed 105200 or 210400 games. / ~Plat+
Last Update: 2021-11-24 18:46
Patch 2.19 - Week 2 - by the Numbers1 | ||||
---|---|---|---|---|
Characteristic3 | Current Master2 | Last-Season Master2 | ||
N = 85,6504 | N = 42,3254 | N = 216,9324 | N = 105,2004 | |
Status | ||||
Ranked | 42,325 (49%) | 105,200 (48%) | ||
Other | 41,071 (48%) | 108,434 (50%) | ||
Friendly | 2,254 (2.6%) | 3,298 (1.5%) | ||
Server | ||||
americas | 35,410 (41%) | 16,696 (39%) | 97,169 (45%) | 45,638 (43%) |
asia | 18,635 (22%) | 8,188 (19%) | 38,072 (18%) | 16,613 (16%) |
europe | 31,605 (37%) | 17,441 (41%) | 81,691 (38%) | 42,949 (41%) |
1
Max datetime recovered: 2021-11-24 17:07:19 UTC from 2021-11-17 18:00:00 to 2021-11-24 18:00:00 UTC
2
EU Master playerDecks in the ladder 512 while number of possible Master playerDecks recovered is 505, Number of Last-Season EU Master used 1509
NA Master playerDecks in the ladder 533 while number of possible Master playerDecks recovered is 532, Number of Last-Season NA Master used 1733
ASIA Master playerDecks in the ladder 227 while number of possible Master playerDecks recovered is 226, 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
|
Switching back to Master as this report is supposed to be
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 | 14.39% | 13.31% | 16.71% | 14.33% |
Bilgewater | 12.26% | 13.46% | 11.56% | 11.45% |
Noxus | 11.84% | 10.26% | 12.53% | 13.02% |
Freljord | 11.32% | 11.97% | 9.87% | 11.39% |
Demacia | 11.20% | 11.04% | 10.98% | 11.46% |
Ionia | 10.54% | 11.14% | 10.12% | 10.16% |
Piltover | 10.12% | 10.59% | 9.95% | 9.76% |
Shurima | 8.19% | 9.10% | 9.03% | 6.93% |
ShadowIsles | 6.77% | 5.56% | 6.73% | 7.94% |
MtTargon | 3.36% | 3.56% | 2.54% | 3.56% |
Patch 2.19 - Week 2 Ranked games from 2021-11-17 18:00:00 UTC to 2021-11-24 18:00:00 UTC Metadata of games collected with RiotGames API |
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 | ||
America | Asia | Europe | ||
Bilgewater | 17.17% | 18.26% | 15.81% | 16.76% |
BandleCity | 16.21% | 14.47% | 19.26% | 16.45% |
PnZ | 11.08% | 12.02% | 9.88% | 10.75% |
Demacia | 10.23% | 9.93% | 10.29% | 10.48% |
Ionia | 10.00% | 10.47% | 9.59% | 9.73% |
Noxus | 9.86% | 8.79% | 9.80% | 10.90% |
Shurima | 8.90% | 9.88% | 10.01% | 7.45% |
Freljord | 7.07% | 7.51% | 6.96% | 6.69% |
ShadowIsles | 6.36% | 5.29% | 6.26% | 7.44% |
MtTargon | 3.12% | 3.37% | 2.14% | 3.35% |
Patch 2.19 - Week 2 Ranked games from 2021-11-17 18:00:00 UTC to 2021-11-24 18:00:00 UTC Metadata of games collected with RiotGames API |
Note: I know I have to add some aggregations especially for Bandle (sorry Dr.LoR)
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 |
Data from Last-Season Master Only. Source: Source: Metadata of games collected with RiotGames API FALSE
Data from Current Master Only. Source: Source: Metadata of games collected with RiotGames API FALSE
Highlisting the top10 most played decks (at the moment of the last game played).
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.
Top Win rates of the top10 best performing least played combination of champions. Play rate \(\in\) [0.1%,1%)1
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.
Poppy/Zed (DE/IO) | Gangplank/Sejuani | Poppy/Ziggs (BC/NX) | Pyke/Rek'Sai | Draven/Sion (NX/PZ) | Senna/Veigar (BC/SI) | Lissandra/Taliyah | Swain/Teemo (BC/NX) | Jayce/Lux | Akshan/Sivir (DE/SH) | Lee Sin/Zoe | Gangplank/Twisted Fate (BC/BW) | Heimerdinger/Jayce (BC/PZ) | Fizz/Poppy (BC/NX) | Sentinel Control | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Poppy/Zed (DE/IO) | NA
(NA) |
57.2%
(55.9%) |
46.3%
(47.9%) |
63.0%
(65.4%) |
49.1%
(49.6%) |
67.0%
(67.7%) |
71.6%
(72.2%) |
43.4%
(43.6%) |
51.2%
(50.4%) |
52.5%
(50.3%) |
66.5%
(66.9%) |
43.4%
(43.5%) |
55.3%
(53.4%) |
53.5%
(51.5%) |
41.9%
(41.8%) |
Gangplank/Sejuani | 42.8%
(44.1%) |
NA
(NA) |
50.0%
(49.1%) |
54.6%
(51.3%) |
55.5%
(58.1%) |
55.2%
(52.3%) |
40.6%
(41.0%) |
64.8%
(67.4%) |
58.5%
(63.4%) |
58.7%
(62.4%) |
43.5%
(45.4%) |
52.0%
(50.5%) |
60.2%
(63.3%) |
48.4%
(53.2%) |
52.0%
(52.8%) |
Poppy/Ziggs (BC/NX) | 53.7%
(52.1%) |
50.0%
(50.9%) |
NA
(NA) |
60.4%
(59.6%) |
40.4%
(37.3%) |
44.9%
(46.6%) |
68.1%
(60.8%) |
63.2%
(66.7%) |
62.9%
(68.6%) |
48.8%
(51.4%) |
33.9%
(29.1%) |
39.1%
(37.9%) |
62.6%
(57.8%) |
46.2%
(48.6%) |
32.8%
(31.6%) |
Pyke/Rek'Sai | 37.0%
(34.6%) |
45.4%
(48.7%) |
39.6%
(40.4%) |
NA
(NA) |
36.7%
(36.7%) |
52.9%
(48.0%) |
57.8%
(59.8%) |
54.0%
(53.1%) |
55.9%
(67.7%) |
43.5%
(42.7%) |
52.0%
(53.2%) |
41.2%
(43.3%) |
46.5%
(54.7%) |
42.6%
(45.2%) |
52.8%
(55.4%) |
Draven/Sion (NX/PZ) | 50.9%
(50.4%) |
44.5%
(41.9%) |
59.6%
(62.7%) |
63.3%
(63.3%) |
NA
(NA) |
42.0%
(43.2%) |
39.6%
(37.8%) |
45.0%
(47.0%) |
60.5%
(54.8%) |
65.2%
(61.8%) |
30.5%
(31.4%) |
41.5%
(41.0%) |
44.0%
(41.4%) |
66.9%
(58.5%) |
58.0%
(54.3%) |
Senna/Veigar (BC/SI) | 33.0%
(32.3%) |
44.8%
(47.7%) |
55.1%
(53.4%) |
47.1%
(52.0%) |
58.0%
(56.8%) |
NA
(NA) |
42.5%
(43.3%) |
54.0%
(48.6%) |
48.3%
(48.1%) |
39.5%
(37.9%) |
69.9%
(67.3%) |
66.1%
(64.6%) |
59.5%
(69.4%) |
30.4%
(30.9%) |
52.8%
(53.1%) |
Lissandra/Taliyah | 28.4%
(27.8%) |
59.4%
(59.0%) |
31.9%
(39.2%) |
42.2%
(40.2%) |
60.4%
(62.2%) |
57.5%
(56.7%) |
NA
(NA) |
50.0%
(43.1%) |
42.0%
(48.2%) |
44.8%
(44.9%) |
49.4%
(51.4%) |
55.0%
(50.7%) |
67.6%
(69.0%) |
47.5%
(57.1%) |
62.3%
(68.2%) |
Swain/Teemo (BC/NX) | 56.6%
(56.4%) |
35.2%
(32.6%) |
36.8%
(33.3%) |
46.0%
(46.9%) |
55.0%
(53.0%) |
46.0%
(51.4%) |
50.0%
(56.9%) |
NA
(NA) |
43.5%
(38.7%) |
51.2%
(47.3%) |
69.0%
(64.4%) |
38.8%
(41.2%) |
43.4%
(45.0%) |
55.8%
(60.0%) |
36.5%
(40.0%) |
Jayce/Lux | 48.8%
(49.6%) |
41.5%
(36.6%) |
37.1%
(31.4%) |
44.1%
(32.3%) |
39.5%
(45.2%) |
51.7%
(51.9%) |
58.0%
(51.8%) |
56.5%
(61.3%) |
NA
(NA) |
52.0%
(51.4%) |
36.1%
(NA) |
46.4%
(NA) |
65.1%
(NA) |
46.2%
(NA) |
65.6%
(NA) |
Akshan/Sivir (DE/SH) | 47.5%
(49.7%) |
41.3%
(37.6%) |
51.2%
(48.6%) |
56.5%
(57.3%) |
34.8%
(38.2%) |
60.5%
(62.1%) |
55.2%
(55.1%) |
48.8%
(52.7%) |
48.0%
(48.6%) |
NA
(NA) |
55.6%
(44.4%) |
48.7%
(47.8%) |
49.5%
(60.0%) |
60.9%
(59.1%) |
63.7%
(60.0%) |
Lee Sin/Zoe | 33.5%
(33.1%) |
56.5%
(54.6%) |
66.1%
(70.9%) |
48.0%
(46.8%) |
69.5%
(68.6%) |
30.1%
(32.7%) |
50.6%
(48.6%) |
31.0%
(35.6%) |
63.9%
(NA) |
44.4%
(55.6%) |
NA
(NA) |
57.9%
(60.7%) |
40.2%
(35.9%) |
37.2%
(31.1%) |
53.2%
(54.8%) |
Gangplank/Twisted Fate (BC/BW) | 56.6%
(56.5%) |
48.0%
(49.5%) |
60.9%
(62.1%) |
58.8%
(56.7%) |
58.5%
(59.0%) |
33.9%
(35.4%) |
45.0%
(49.3%) |
61.2%
(58.8%) |
53.6%
(NA) |
51.3%
(52.2%) |
42.1%
(39.3%) |
NA
(NA) |
62.2%
(NA) |
69.5%
(80.6%) |
35.3%
(37.5%) |
Heimerdinger/Jayce (BC/PZ) | 44.7%
(46.6%) |
39.8%
(36.7%) |
37.4%
(42.2%) |
53.5%
(45.3%) |
56.0%
(58.6%) |
40.5%
(30.6%) |
32.4%
(31.0%) |
56.6%
(55.0%) |
34.9%
(NA) |
50.5%
(40.0%) |
59.8%
(64.1%) |
37.8%
(NA) |
NA
(NA) |
48.8%
(NA) |
48.5%
(NA) |
Fizz/Poppy (BC/NX) | 46.5%
(48.5%) |
51.6%
(46.8%) |
53.8%
(51.4%) |
57.4%
(54.8%) |
33.1%
(41.5%) |
69.6%
(69.1%) |
52.5%
(42.9%) |
44.2%
(40.0%) |
53.8%
(NA) |
39.1%
(40.9%) |
62.8%
(68.9%) |
30.5%
(19.4%) |
51.2%
(NA) |
NA
(NA) |
41.4%
(NA) |
Sentinel Control | 58.1%
(58.2%) |
48.0%
(47.2%) |
67.2%
(68.4%) |
47.2%
(44.6%) |
42.0%
(45.7%) |
47.2%
(46.9%) |
37.7%
(31.8%) |
63.5%
(60.0%) |
34.4%
(NA) |
36.3%
(40.0%) |
46.8%
(45.2%) |
64.7%
(62.5%) |
51.5%
(NA) |
58.6%
(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 |