Data
Number of (Ranked) matches analysed 21052 or 42104 games. / Master
Number of (Ranked) matches analysed 126156 or 252312 games. / ~Plat+
Last Update: 2021-11-10 22:12
| Patch 2.18 - Week 3 - by the Numbers1 | ||||
|---|---|---|---|---|
| Characteristic3 | Current Master2 | Last-Season Master2 | ||
| N = 31,5724 | N = 21,0524 | N = 183,7094 | N = 126,1564 | |
| Status | ||||
| Ranked | 21,052 (67%) | 126,091 (69%) | ||
| Other | 9,919 (31%) | 54,859 (30%) | ||
| Friendly | 601 (1.9%) | 2,759 (1.5%) | ||
| Server | ||||
| americas | 12,999 (41%) | 8,219 (39%) | 84,529 (46%) | 55,115 (44%) |
| asia | 6,642 (21%) | 4,308 (20%) | 27,429 (15%) | 18,656 (15%) |
| europe | 11,931 (38%) | 8,525 (40%) | 71,751 (39%) | 52,385 (42%) |
|
1
Max datetime recovered: 2021-11-10 16:59:57 UTC from 2021-11-03 17:00:00 to 2021-11-10 17:00:00 UTC
2
EU Master playerDecks in the ladder 211 while number of possible Master playerDecks recovered is 207, Number of Last-Season EU Master used 1509
NA Master playerDecks in the ladder 229 while number of possible Master playerDecks recovered is 225, Number of Last-Season NA Master used 1733
ASIA Master playerDecks in the ladder 105 while number of possible Master playerDecks recovered is 104, 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
|
||||
Regions
Switching back to Master as this report is supposed to be
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 | ||
| BandleCity | 19.35% | 18.30% | 23.48% | 18.29% |
| Noxus | 15.11% | 14.51% | 14.90% | 15.80% |
| Bilgewater | 11.46% | 11.38% | 10.36% | 12.10% |
| Piltover | 11.06% | 10.94% | 13.33% | 10.04% |
| Demacia | 9.20% | 9.79% | 6.69% | 9.90% |
| Freljord | 8.50% | 7.97% | 6.86% | 9.83% |
| Shurima | 8.24% | 8.20% | 9.55% | 7.61% |
| Ionia | 7.17% | 8.01% | 5.44% | 7.24% |
| ShadowIsles | 6.25% | 5.82% | 7.24% | 6.18% |
| MtTargon | 3.65% | 5.08% | 2.17% | 3.01% |
| Patch 2.18 - Week 3 Ranked games from 2021-11-03 17:00:00 UTC to 2021-11-10 17:00:00 UTC Metadata of games collected with RiotGames API | ||||
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.
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 | ||
| BandleCity | 22.20% | 20.98% | 26.95% | 20.98% |
| Bilgewater | 15.33% | 14.70% | 13.84% | 16.69% |
| Noxus | 12.53% | 11.93% | 11.74% | 13.52% |
| PnZ | 10.94% | 11.10% | 11.84% | 10.34% |
| Shurima | 9.32% | 9.05% | 11.51% | 8.48% |
| Demacia | 8.79% | 9.64% | 6.20% | 9.27% |
| Ionia | 7.03% | 8.13% | 4.85% | 7.07% |
| ShadowIsles | 5.74% | 5.31% | 7.04% | 5.50% |
| Freljord | 4.68% | 4.46% | 3.79% | 5.35% |
| MtTargon | 3.43% | 4.70% | 2.23% | 2.81% |
| Patch 2.18 - Week 3 Ranked games from 2021-11-03 17:00:00 UTC to 2021-11-10 17:00:00 UTC Metadata of games collected with RiotGames API | ||||
Champions Combinations
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 |
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 | Pyke/Rek'Sai | Swain/Teemo (BC/NX) | Senna/Veigar (BC/SI) | Draven/Sion (NX/PZ) | Poppy/Ziggs (BC/NX) | Gangplank/Twisted Fate (BC/BW) | Fizz/Poppy (BC/NX) | Akshan/Sivir (DE/SH) | Lux/Poppy (BC/DE) | Dragons (DE/MT) | Thresh/Viego (IO/SI) | Draven/Viktor | Lissandra/Taliyah | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Poppy/Zed (DE/IO) | NA
(NA) |
57.3%
(57.2%) |
59.5%
(59.0%) |
41.6%
(37.6%) |
65.0%
(62.7%) |
44.8%
(43.7%) |
45.4%
(46.8%) |
42.2%
(40.8%) |
59.1%
(61.0%) |
55.7%
(57.0%) |
49.5%
(50.0%) |
59.8%
(54.1%) |
64.5%
(68.8%) |
55.0%
(51.0%) |
66.8%
(80.5%) |
| Gangplank/Sejuani | 42.7%
(42.8%) |
NA
(NA) |
56.7%
(59.3%) |
64.8%
(64.6%) |
50.4%
(53.4%) |
55.1%
(56.1%) |
48.6%
(52.4%) |
53.9%
(49.6%) |
53.4%
(48.8%) |
61.3%
(60.6%) |
58.7%
(57.7%) |
52.2%
(41.7%) |
53.3%
(52.3%) |
55.6%
(57.4%) |
39.9%
(31.1%) |
| Pyke/Rek'Sai | 40.5%
(41.0%) |
43.3%
(40.7%) |
NA
(NA) |
51.0%
(43.5%) |
51.7%
(59.5%) |
34.7%
(39.6%) |
44.0%
(38.0%) |
42.2%
(47.0%) |
45.4%
(31.1%) |
48.8%
(50.9%) |
56.4%
(46.7%) |
66.1%
(NA) |
51.0%
(NA) |
42.3%
(NA) |
59.1%
(60.0%) |
| Swain/Teemo (BC/NX) | 58.4%
(62.4%) |
35.2%
(35.4%) |
49.0%
(56.5%) |
NA
(NA) |
52.9%
(51.2%) |
48.3%
(47.7%) |
39.5%
(44.4%) |
40.1%
(39.8%) |
57.4%
(64.9%) |
53.7%
(55.4%) |
46.2%
(51.2%) |
45.0%
(NA) |
65.5%
(74.3%) |
47.9%
(50.0%) |
61.2%
(65.8%) |
| Senna/Veigar (BC/SI) | 35.0%
(37.3%) |
49.6%
(46.6%) |
48.3%
(40.5%) |
47.1%
(48.8%) |
NA
(NA) |
60.1%
(64.2%) |
53.5%
(56.7%) |
60.4%
(56.4%) |
30.6%
(30.4%) |
39.9%
(41.3%) |
60.7%
(NA) |
49.8%
(NA) |
73.2%
(NA) |
52.1%
(62.9%) |
46.9%
(44.4%) |
| Draven/Sion (NX/PZ) | 55.2%
(56.3%) |
44.9%
(43.9%) |
65.3%
(60.4%) |
51.7%
(52.3%) |
39.9%
(35.8%) |
NA
(NA) |
58.8%
(60.2%) |
44.3%
(47.5%) |
58.4%
(57.9%) |
60.5%
(64.7%) |
49.2%
(43.5%) |
68.8%
(NA) |
38.4%
(NA) |
51.0%
(48.4%) |
51.6%
(41.3%) |
| Poppy/Ziggs (BC/NX) | 54.6%
(53.2%) |
51.4%
(47.6%) |
56.0%
(62.0%) |
60.5%
(55.6%) |
46.5%
(43.3%) |
41.2%
(39.8%) |
NA
(NA) |
45.2%
(42.2%) |
54.5%
(60.0%) |
48.7%
(38.5%) |
59.3%
(NA) |
62.5%
(NA) |
46.3%
(NA) |
45.0%
(NA) |
61.2%
(NA) |
| Gangplank/Twisted Fate (BC/BW) | 57.8%
(59.2%) |
46.1%
(50.4%) |
57.8%
(53.0%) |
59.9%
(60.2%) |
39.6%
(43.6%) |
55.7%
(52.5%) |
54.8%
(57.8%) |
NA
(NA) |
66.7%
(64.7%) |
41.9%
(36.1%) |
38.1%
(NA) |
41.1%
(NA) |
36.9%
(NA) |
50.0%
(NA) |
29.6%
(NA) |
| Fizz/Poppy (BC/NX) | 40.9%
(39.0%) |
46.6%
(51.2%) |
54.6%
(68.9%) |
42.6%
(35.1%) |
69.4%
(69.6%) |
41.6%
(42.1%) |
45.5%
(40.0%) |
33.3%
(35.3%) |
NA
(NA) |
38.7%
(NA) |
70.3%
(NA) |
61.8%
(NA) |
73.3%
(NA) |
36.7%
(NA) |
46.7%
(NA) |
| Akshan/Sivir (DE/SH) | 44.3%
(43.0%) |
38.7%
(39.4%) |
51.2%
(49.1%) |
46.3%
(44.6%) |
60.1%
(58.7%) |
39.5%
(35.3%) |
51.3%
(61.5%) |
58.1%
(63.9%) |
61.3%
(NA) |
NA
(NA) |
51.3%
(NA) |
62.7%
(NA) |
50.0%
(NA) |
57.6%
(NA) |
61.9%
(NA) |
| Lux/Poppy (BC/DE) | 50.5%
(50.0%) |
41.3%
(42.3%) |
43.6%
(53.3%) |
53.8%
(48.8%) |
39.3%
(NA) |
50.8%
(56.5%) |
40.7%
(NA) |
61.9%
(NA) |
29.7%
(NA) |
48.7%
(NA) |
NA
(NA) |
36.1%
(NA) |
60.9%
(NA) |
56.7%
(NA) |
45.7%
(NA) |
| Dragons (DE/MT) | 40.2%
(45.9%) |
47.8%
(58.3%) |
33.9%
(NA) |
55.0%
(NA) |
50.2%
(NA) |
31.2%
(NA) |
37.5%
(NA) |
58.9%
(NA) |
38.2%
(NA) |
37.3%
(NA) |
63.9%
(NA) |
NA
(NA) |
57.4%
(NA) |
42.9%
(NA) |
55.9%
(NA) |
| Thresh/Viego (IO/SI) | 35.5%
(31.2%) |
46.7%
(47.7%) |
49.0%
(NA) |
34.5%
(25.7%) |
26.8%
(NA) |
61.6%
(NA) |
53.7%
(NA) |
63.1%
(NA) |
26.7%
(NA) |
50.0%
(NA) |
39.1%
(NA) |
42.6%
(NA) |
NA
(NA) |
52.6%
(NA) |
63.0%
(NA) |
| Draven/Viktor | 45.0%
(49.0%) |
44.4%
(42.6%) |
57.7%
(NA) |
52.1%
(50.0%) |
47.9%
(37.1%) |
49.0%
(51.6%) |
55.0%
(NA) |
50.0%
(NA) |
63.3%
(NA) |
42.4%
(NA) |
43.3%
(NA) |
57.1%
(NA) |
47.4%
(NA) |
NA
(NA) |
59.1%
(NA) |
| Lissandra/Taliyah | 33.2%
(19.5%) |
60.1%
(68.9%) |
40.9%
(40.0%) |
38.8%
(34.2%) |
53.1%
(55.6%) |
48.4%
(58.7%) |
38.8%
(NA) |
70.4%
(NA) |
53.3%
(NA) |
38.1%
(NA) |
54.3%
(NA) |
44.1%
(NA) |
37.0%
(NA) |
40.9%
(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 | |||||||||||||||