Data
Number of (Ranked) matches analysed 36651 or 73302 games. / Master
Number of (Ranked) matches analysed 70469 or 140938 games. / ~Plat+
Last Update: 2021-12-08 19:58
| Patch 2.20 - Week 2 - by the Numbers1 | ||||
|---|---|---|---|---|
| Characteristic3 | Current Master2 | Last-Season Master2 | ||
| N = 98,2594 | N = 36,6514 | N = 163,9524 | N = 70,4694 | |
| Status | ||||
| Other | 58,632 (60%) | 90,142 (55%) | ||
| Ranked | 36,651 (37%) | 70,469 (43%) | ||
| Friendly | 2,976 (3.0%) | 3,341 (2.0%) | ||
| Server | ||||
| americas | 43,387 (44%) | 15,649 (43%) | 76,263 (47%) | 32,851 (47%) |
| asia | 18,648 (19%) | 6,533 (18%) | 26,003 (16%) | 9,750 (14%) |
| europe | 36,224 (37%) | 14,469 (39%) | 61,686 (38%) | 27,868 (40%) |
|
1
Max datetime recovered: 2021-12-08 17:00:00 UTC from 2021-12-01 18:00:00 to 2021-12-08 18:00:00 UTC
2
EU Master playerDecks in the ladder 892 while number of possible Master playerDecks recovered is 894
NA Master playerDecks in the ladder 999 while number of possible Master playerDecks recovered is 1000
ASIA Master playerDecks in the ladder 349 while number of possible Master playerDecks recovered is 349
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
|
||||
Seasonal Tournament Top32 Results
Before providing the usual description of last week high ranked games here are the results from the top32
Note: As not all decks has being played I can’t provide a complete coverage of the lineUps but 212/288 decks overall.
Games Results
| Top32 Results | ||||||
|---|---|---|---|---|---|---|
| Game results from the top32 players of the Between Worlds Seasonal Tournament | ||||||
| WonMatches | americas | asia | europe | |||
| Player | result | Player | result | Player | result | |
| 5 | HDR BlackBoss | sai | Painas | |||
| 4 | Kochua | シンゲツ | Ultraman1996 | |||
| 3 | Cephalopod | AFTV깜동 | S0bek | |||
| 3 | Makantor | yata64 | Ye Xiu 叶修 | |||
| 2 | AK KuroNE | 잠만와 | ASK | |||
| 2 | FNX Master Doran | AFTV박소가 | Carnality | |||
| 2 | Gio | ReROLL | King D Altar | |||
| 2 | MajiinBae | YOUTUBE난뀨 | Pavelicii | |||
| 1 | Beastllama | アース | BaJAtak | |||
| 1 | Damian1917 | メンヘラ | D123R | |||
| 1 | Paradigmz | bluish | Daylton | |||
| 1 | sCBASSs | DSKINPISKCOOL | EpicFischa | |||
| 1 | Snugguls | J01 | freshlobster | |||
| 1 | ToF Pixer | Kaleo | MazeMangler | |||
| 1 | XxWhatAmIxX | PETA | Metalfrider | |||
| 1 | Zult | pisukaru | Owi | |||
| 0 | AJäy | キミもGボーイズに入らないか | Anªrchy | |||
| 0 | AL911AL | タキch | CrossS | |||
| 0 | BlowMyNexus | 노란코코넛 | Dyna | |||
| 0 | Chunkzer | 버버버 | Fola Kolanta | |||
| 0 | FNX Wasrusso | 조개구이맛집 | jirkau | |||
| 0 | HDR Lazyguga | Akiramenaide | K0905 | |||
| 0 | mtucks | All Creation | Kuraschi | |||
| 0 | NNT eluwardhayk | Dreadway | Nunu bot | |||
| 0 | Prodigy | Hello UnHAPPY | PvH | |||
| 0 | Rusticles | kariudo | Robomaster18 | |||
| 0 | SamanthaHoney | keih | SaltySimonSE | |||
| 0 | SantaTCG | kuro | Shadow4Back | |||
| 0 | Sirturmund | Raikei | Sir Donald | |||
| 0 | squallywag | Usamarer | SonikHolik | |||
| 0 | Stromboli Prince | Various | SWATblue | |||
| 0 | Zorig Dungu | VK Overdose | ThunderUncle | |||
| Metadata of games collected with RiotGames API | ||||||
LineUps
Top32 Players' Deckcodes
Bewtween Worlds Playoff - Top32 LineUps
As not all decks has being played I can't provide a complete coverage of the lineUps but 212/288 decks overall. Source: Metadata of games collected with RiotGames API
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 | ||
| America | Asia | Europe | ||
| BC | 15.56% | 14.66% | 17.59% | 15.62% |
| NX | 11.50% | 11.11% | 11.68% | 11.85% |
| DE | 10.75% | 10.73% | 9.72% | 11.22% |
| IO | 10.60% | 11.02% | 8.96% | 10.88% |
| PZ | 10.59% | 12.43% | 8.75% | 9.43% |
| BW | 10.23% | 10.06% | 10.25% | 10.41% |
| FR | 9.78% | 8.82% | 10.37% | 10.57% |
| SH | 8.73% | 8.61% | 10.77% | 7.94% |
| SI | 7.12% | 7.79% | 7.40% | 6.26% |
| MT | 5.14% | 4.77% | 4.51% | 5.81% |
| Patch 2.20 - Week 2 Ranked games from 2021-12-01 18:00:00 UTC to 2021-12-08 18:00:00 UTC Metadata of games collected with RiotGames API | ||||
Play Rate by number of Cards
Note: the dual region factor has been solved
Plot
Table
| 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 | ||
| BC | 17.14% | 15.87% | 18.84% | 17.75% |
| BW | 13.01% | 12.18% | 12.64% | 14.07% |
| PZ | 11.37% | 13.58% | 9.02% | 10.03% |
| DE | 10.96% | 10.97% | 10.23% | 11.27% |
| SH | 9.95% | 9.87% | 12.24% | 9.01% |
| IO | 9.86% | 10.29% | 8.48% | 10.00% |
| NX | 9.43% | 9.10% | 9.89% | 9.57% |
| FR | 6.89% | 6.02% | 8.27% | 7.21% |
| SI | 6.60% | 7.43% | 6.45% | 5.78% |
| MT | 4.80% | 4.68% | 3.94% | 5.31% |
| Patch 2.20 - Week 2 Ranked games from 2021-12-01 18:00:00 UTC to 2021-12-08 18:00:00 UTC Metadata of games collected with RiotGames API | ||||
Champions Combinations
Play Rates
Plot
from Last-Season Master
Data from Last-Season Master Only. Source: Source: Metadata of games collected with RiotGames API FALSE
from Current Master
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
Meta Decks
Win rates of the most played combination of champions. Play Rate >= 1% in at least one of the servers.
Underdog
Top Win rates of the top10 best performing least played combination of champions. Play rate \(\in\) [0.1%,1%)1
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”.
Match-up Grid
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) | Senna/Veigar | Pyke/Rek'Sai | Swain/Teemo (BC/NX) | Akshan/Sivir (DE/SH) | Lissandra/Taliyah | Draven/Sion (NX/PZ) | Fizz/Poppy (BC/NX) | Jayce/Lux | Lee Sin/Zoe | Sentinel Control | Gangplank/Twisted Fate (BC/BW) | Taliyah/Ziggs | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Poppy/Zed (DE/IO) | NA
(NA) |
53.9%
(60.2%) |
43.1%
(43.6%) |
64.3%
(65.5%) |
58.0%
(57.0%) |
41.8%
(43.2%) |
51.5%
(51.2%) |
75.1%
(77.8%) |
50.6%
(44.9%) |
52.1%
(57.2%) |
52.9%
(51.5%) |
61.6%
(59.2%) |
38.3%
(39.5%) |
42.6%
(40.3%) |
62.2%
(65.9%) |
| Gangplank/Sejuani | 46.1%
(39.8%) |
NA
(NA) |
49.2%
(44.6%) |
48.9%
(54.9%) |
57.6%
(57.3%) |
59.2%
(61.1%) |
56.7%
(56.1%) |
39.4%
(37.4%) |
46.9%
(46.9%) |
51.4%
(48.0%) |
61.3%
(60.6%) |
43.1%
(39.1%) |
54.9%
(59.6%) |
53.3%
(53.2%) |
58.9%
(55.0%) |
| Poppy/Ziggs (BC/NX) | 56.9%
(56.4%) |
50.8%
(55.4%) |
NA
(NA) |
50.6%
(47.4%) |
57.7%
(59.2%) |
67.1%
(64.2%) |
55.8%
(55.1%) |
73.0%
(72.3%) |
42.0%
(45.6%) |
45.8%
(47.2%) |
58.0%
(62.9%) |
38.2%
(34.7%) |
34.0%
(28.6%) |
39.8%
(44.4%) |
60.9%
(53.8%) |
| Senna/Veigar | 35.7%
(34.5%) |
51.1%
(45.1%) |
49.4%
(52.6%) |
NA
(NA) |
48.8%
(37.6%) |
47.3%
(47.9%) |
44.7%
(49.3%) |
45.3%
(56.3%) |
58.7%
(70.1%) |
36.9%
(27.3%) |
48.6%
(43.2%) |
60.7%
(55.0%) |
51.6%
(54.2%) |
58.4%
(61.4%) |
35.9%
(37.5%) |
| Pyke/Rek'Sai | 42.0%
(43.0%) |
42.4%
(42.7%) |
42.3%
(40.8%) |
51.2%
(62.4%) |
NA
(NA) |
51.1%
(55.9%) |
44.9%
(33.9%) |
56.9%
(57.1%) |
32.5%
(33.9%) |
46.5%
(50.7%) |
48.4%
(66.7%) |
58.9%
(57.9%) |
50.0%
(38.8%) |
40.2%
(43.9%) |
38.1%
(41.9%) |
| Swain/Teemo (BC/NX) | 58.2%
(56.8%) |
40.8%
(38.9%) |
32.9%
(35.8%) |
52.7%
(52.1%) |
48.9%
(44.1%) |
NA
(NA) |
50.0%
(40.5%) |
46.1%
(49.5%) |
53.8%
(50.8%) |
56.7%
(57.4%) |
42.2%
(42.9%) |
65.4%
(67.6%) |
39.4%
(36.2%) |
36.9%
(39.7%) |
55.8%
(60.7%) |
| Akshan/Sivir (DE/SH) | 48.5%
(48.8%) |
43.3%
(43.9%) |
44.2%
(44.9%) |
55.3%
(50.7%) |
55.1%
(66.1%) |
50.0%
(59.5%) |
NA
(NA) |
60.0%
(63.6%) |
35.9%
(36.2%) |
61.1%
(59.4%) |
45.9%
(NA) |
56.6%
(56.8%) |
63.5%
(62.2%) |
46.4%
(43.8%) |
38.3%
(NA) |
| Lissandra/Taliyah | 24.9%
(22.2%) |
60.6%
(62.6%) |
27.0%
(27.7%) |
54.7%
(43.7%) |
43.1%
(42.9%) |
53.9%
(50.5%) |
40.0%
(36.4%) |
NA
(NA) |
54.2%
(57.4%) |
53.0%
(55.9%) |
47.6%
(NA) |
35.7%
(38.3%) |
69.8%
(75.8%) |
60.0%
(NA) |
38.8%
(39.4%) |
| Draven/Sion (NX/PZ) | 49.4%
(55.1%) |
53.1%
(53.1%) |
58.0%
(54.4%) |
41.3%
(29.9%) |
67.5%
(66.1%) |
46.2%
(49.2%) |
64.1%
(63.8%) |
45.8%
(42.6%) |
NA
(NA) |
67.1%
(71.8%) |
76.3%
(68.4%) |
30.1%
(30.0%) |
65.2%
(67.7%) |
32.7%
(37.1%) |
53.6%
(NA) |
| Fizz/Poppy (BC/NX) | 47.9%
(42.8%) |
48.6%
(52.0%) |
54.2%
(52.8%) |
63.1%
(72.7%) |
53.5%
(49.3%) |
43.3%
(42.6%) |
38.9%
(40.6%) |
47.0%
(44.1%) |
32.9%
(28.2%) |
NA
(NA) |
54.4%
(58.1%) |
69.0%
(68.3%) |
26.9%
(NA) |
28.3%
(29.7%) |
43.3%
(41.9%) |
| Jayce/Lux | 47.1%
(48.5%) |
38.7%
(39.4%) |
42.0%
(37.1%) |
51.4%
(56.8%) |
51.6%
(33.3%) |
57.8%
(57.1%) |
54.1%
(NA) |
52.4%
(NA) |
23.7%
(31.6%) |
45.6%
(41.9%) |
NA
(NA) |
30.2%
(27.3%) |
67.1%
(71.4%) |
51.0%
(NA) |
37.0%
(NA) |
| Lee Sin/Zoe | 38.4%
(40.8%) |
56.9%
(60.9%) |
61.8%
(65.3%) |
39.3%
(45.0%) |
41.1%
(42.1%) |
34.6%
(32.4%) |
43.4%
(43.2%) |
64.3%
(61.7%) |
69.9%
(70.0%) |
31.0%
(31.7%) |
69.8%
(72.7%) |
NA
(NA) |
57.4%
(51.4%) |
47.9%
(NA) |
61.9%
(NA) |
| Sentinel Control | 61.7%
(60.5%) |
45.1%
(40.4%) |
66.0%
(71.4%) |
48.4%
(45.8%) |
50.0%
(61.2%) |
60.6%
(63.8%) |
36.5%
(37.8%) |
30.2%
(24.2%) |
34.8%
(32.3%) |
73.1%
(NA) |
32.9%
(28.6%) |
42.6%
(48.6%) |
NA
(NA) |
62.3%
(NA) |
52.2%
(NA) |
| Gangplank/Twisted Fate (BC/BW) | 57.4%
(59.7%) |
46.7%
(46.8%) |
60.2%
(55.6%) |
41.6%
(38.6%) |
59.8%
(56.1%) |
63.1%
(60.3%) |
53.6%
(56.2%) |
40.0%
(NA) |
67.3%
(62.9%) |
71.7%
(70.3%) |
49.0%
(NA) |
52.1%
(NA) |
37.7%
(NA) |
NA
(NA) |
54.1%
(NA) |
| Taliyah/Ziggs | 37.8%
(34.1%) |
41.1%
(45.0%) |
39.1%
(46.2%) |
64.1%
(62.5%) |
61.9%
(58.1%) |
44.2%
(39.3%) |
61.7%
(NA) |
61.2%
(60.6%) |
46.4%
(NA) |
56.7%
(58.1%) |
63.0%
(NA) |
38.1%
(NA) |
47.8%
(NA) |
45.9%
(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 | |||||||||||||||