Data
Number of Master Players: 1884
Number of HighDiamond 1 Players: 6029
Number of (Ranked) Master matches analysed 59071 or 118142 games.
Number of (Ranked) ~HighDiamond matches analysed 237966 or 475932 games.
Last Update: 2022-10-26 18:55
Games
| Patch 3.17 - Week 2 - by the Numbers1 | ||||
| Characteristic | Master2 | ~HighDiamond2 | ||
|---|---|---|---|---|
| N = 96,5803 | N = 59,0713 | N = 329,8503 | N = 237,9663 | |
| Status | ||||
| Ranked | 59,071 (61%) | 237,966 (72%) | ||
| ThePathOfChampions | 20,649 (21%) | 57,371 (17%) | ||
| Other | 14,707 (15%) | 31,695 (9.6%) | ||
| Friendly Bo3 | 1,539 (1.6%) | 1,575 (0.5%) | ||
| Labs | 614 (0.6%) | 1,243 (0.4%) | ||
| Server | ||||
| Americas | 39,931 (41%) | 23,260 (39%) | 126,983 (38%) | 92,001 (39%) |
| Apac | 29,264 (30%) | 17,354 (29%) | 98,165 (30%) | 67,631 (28%) |
| Europe | 27,385 (28%) | 18,457 (31%) | 104,702 (32%) | 78,334 (33%) |
| 1 Max datetime recovered: 2022-10-26 14:46:23.50950 UTC from 2022-10-19 18:00:00 to 2022-10-26 18:00:00 UTC | ||||
| 2 EU Master 586/586 NA Master 759/763 APAC Master 539/539 | ||||
| 3 n(%) took from the number of matches. When the data is analysed the size is double since we account each different player | ||||
Account
| Shard/Server | Total | |||
|---|---|---|---|---|
| Americas | Apac | Europe | ||
| Player Rank | ||||
| Master | 759 (9.6%) | 539 (6.8%) | 586 (7.4%) | 1,884 (24%) |
| Diamond | 2,316 (29%) | 1,679 (21%) | 2,034 (26%) | 6,029 (76%) |
| Total | 3,075 (39%) | 2,218 (28%) | 2,620 (33%) | 7,913 (100%) |
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 | ||||
| Freq | Shard | |||
|---|---|---|---|---|
| America | Apac | Europe | ||
| Regions | ||||
| Piltover | 19.92% | 19.13% | 21.73% | 19.21% |
| Noxus | 16.55% | 16.31% | 17.96% | 15.53% |
| Demacia | 12.60% | 12.72% | 12.30% | 12.74% |
| ShadowIsles | 10.60% | 11.09% | 11.29% | 9.35% |
| Ionia | 9.38% | 7.88% | 8.13% | 12.44% |
| MtTargon | 6.04% | 6.37% | 5.19% | 6.44% |
| Bilgewater | 5.91% | 6.54% | 5.19% | 5.80% |
| Shurima | 5.16% | 5.78% | 4.81% | 4.71% |
| Freljord | 3.34% | 3.31% | 3.50% | 3.23% |
| BandleCity | 2.69% | 2.55% | 3.08% | 2.50% |
| Runeterra | ||||
| Varus | 2.47% | 2.56% | 2.02% | 2.77% |
| Jax | 2.32% | 2.55% | 2.05% | 2.28% |
| Jhin | 2.10% | 2.04% | 2.02% | 2.26% |
| Kayn | 0.76% | 0.97% | 0.57% | 0.65% |
| Evelynn | 0.08% | 0.11% | 0.10% | 0.03% |
| Bard | 0.07% | 0.09% | 0.06% | 0.07% |
| total | 7.80% | 8.33% | 6.81% | 8.07% |
| Patch 3.17 - Week 2 Ranked games from 2022-10-19 18:00:00 UTC to 2022-10-26 18:00:00 UTC Source: Metadata of games collected with RiotGames API Last Update: 2022-10-26 16:55:03.35197 | ||||
Play Rate by number of Cards
Plot
Table
| Region Play Rate | ||||
| Relative Frequencies by number of times a Card within a Region is included in a Deck | ||||
| Freq | Shard | |||
|---|---|---|---|---|
| America | Apac | Europe | ||
| Regions | ||||
| Piltover | 24.68% | 23.69% | 27.52% | 23.27% |
| Noxus | 13.49% | 13.28% | 14.24% | 13.05% |
| Demacia | 12.05% | 12.17% | 12.11% | 11.84% |
| ShadowIsles | 10.06% | 10.48% | 10.44% | 9.17% |
| Ionia | 8.58% | 7.16% | 7.49% | 11.40% |
| Runeterra | 8.32% | 8.71% | 7.30% | 8.79% |
| Bilgewater | 5.84% | 6.50% | 5.05% | 5.76% |
| MtTargon | 5.84% | 6.10% | 4.91% | 6.37% |
| Shurima | 5.35% | 6.21% | 4.87% | 4.71% |
| Freljord | 3.33% | 3.31% | 3.54% | 3.17% |
| BandleCity | 2.47% | 2.40% | 2.54% | 2.48% |
| Patch 3.17 - Week 2 Ranked games from 2022-10-19 18:00:00 UTC to 2022-10-26 18:00:00 UTC Source: Metadata of games collected with RiotGames API Last Update: 2022-10-26 16:55:03.35197 | ||||
Champions Combinations
Play Rates
Plot
from Master
Source: Metadata of games collected with RiotGames API. Last Update: 2022-10-26 16:56:42.882781 FALSE
from Diamond
Source: Metadata of games collected with RiotGames API. Last Update: 2022-10-26 16:56:43.447567 FALSE
Day by day
Hourly/Dialy lines
Stacked Playrates
Each playrate is stacked upon the other with the decks with the highest overall play-rate (the written value) being at the bottom.
Stacked Games
Win Rates
Meta Decks
Win rates of the most played combination of champions. Play Rate \(\geq 1\%\) in at least one of the servers.
Format changed to replicate the one used in the Meta - page
Underdog
Top Win rates of the top10 best performing least played combination of champions. Play rate \(\in [0.1%, 1%)\)
Match Ups
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 10 most played champion combination.
| WR (WRmeta) | Ezreal/Seraphine (NX/PZ) | Seraphine/Viktor (IO/PZ) | Hecarim/Zed (IO/SI) | Jax/Vayne (DE/RU) | Annie/Jhin (NX/RU) | Rumble/Vayne (DE/NX) | Seraphine/Viktor (PZ/SI) | Vayne/Zed (DE/IO) | Pantheon/Vayne (DE/MT) | Pantheon/Varus (MT/RU) | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Ezreal/Seraphine (NX/PZ) | 53.2%
50.1% |
NA
NA |
40.6%
(37.7% - 43.6%) |
53.2%
(49.7% - 56.5%) |
39.9%
(36.4% - 43.6%) |
51.9%
(48.1% - 55.6%) |
66.4%
(62.9% - 69.8%) |
49.0%
(44.8% - 53.2%) |
50.9%
(46.4% - 55.4%) |
48.2%
(43.8% - 52.6%) |
57.8%
(53.2% - 62.3%) |
| Seraphine/Viktor (IO/PZ) | 56.0%
53.3% |
59.4%
(56.4% - 62.3%) |
NA
NA |
55.3%
(49.3% - 61.2%) |
49.2%
(43.6% - 54.9%) |
49.8%
(44.2% - 55.4%) |
47.1%
(41.1% - 53.2%) |
59.8%
(52.5% - 66.8%) |
46.1%
(39.8% - 52.4%) |
51.6%
(44.7% - 58.5%) |
54.5%
(47.7% - 61.2%) |
| Hecarim/Zed (IO/SI) | 48.5%
46.0% |
46.8%
(43.5% - 50.3%) |
44.7%
(38.8% - 50.7%) |
NA
NA |
45.9%
(39.3% - 52.5%) |
37.4%
(30.8% - 44.4%) |
48.2%
(41.6% - 55.0%) |
47.6%
(40.6% - 54.6%) |
39.4%
(31.8% - 47.4%) |
53.3%
(44.6% - 61.9%) |
54.1%
(45.7% - 62.4%) |
| Jax/Vayne (DE/RU) | 54.1%
52.8% |
60.1%
(56.4% - 63.6%) |
50.8%
(45.1% - 56.4%) |
54.1%
(47.5% - 60.7%) |
NA
NA |
46.4%
(38.9% - 54.0%) |
51.8%
(44.5% - 59.1%) |
47.6%
(39.8% - 55.5%) |
44.5%
(36.5% - 52.7%) |
38.8%
(30.7% - 47.5%) |
48.2%
(38.8% - 57.8%) |
| Annie/Jhin (NX/RU) | 52.8%
50.3% |
48.1%
(44.4% - 51.9%) |
50.2%
(44.6% - 55.8%) |
62.6%
(55.6% - 69.2%) |
53.6%
(46.0% - 61.1%) |
NA
NA |
52.1%
(45.2% - 59.0%) |
27.2%
(20.7% - 34.6%) |
55.6%
(47.6% - 63.5%) |
59.5%
(50.4% - 68.2%) |
74.3%
(66.1% - 81.4%) |
| Rumble/Vayne (DE/NX) | 49.9%
46.0% |
33.6%
(30.2% - 37.1%) |
52.9%
(46.8% - 58.9%) |
51.8%
(45.0% - 58.4%) |
48.2%
(40.9% - 55.5%) |
47.9%
(41.0% - 54.8%) |
NA
NA |
52.5%
(43.9% - 61.0%) |
32.8%
(25.1% - 41.4%) |
51.8%
(43.2% - 60.3%) |
39.8%
(31.3% - 48.9%) |
| Seraphine/Viktor (PZ/SI) | 53.7%
51.5% |
51.0%
(46.8% - 55.2%) |
40.2%
(33.2% - 47.5%) |
52.4%
(45.4% - 59.4%) |
52.4%
(44.5% - 60.2%) |
72.8%
(65.4% - 79.3%) |
47.5%
(39.0% - 56.1%) |
NA
NA |
50.5%
(40.2% - 60.8%) |
43.1%
(33.4% - 53.3%) |
57.0%
(47.1% - 66.5%) |
| Vayne/Zed (DE/IO) | 53.3%
51.3% |
49.1%
(44.6% - 53.6%) |
53.9%
(47.6% - 60.2%) |
60.6%
(52.6% - 68.2%) |
55.5%
(47.3% - 63.5%) |
44.4%
(36.5% - 52.4%) |
67.2%
(58.6% - 74.9%) |
49.5%
(39.2% - 59.8%) |
NA
NA |
45.5%
(34.8% - 56.4%) |
40.6%
(30.7% - 51.1%) |
| Pantheon/Vayne (DE/MT) | 52.8%
49.8% |
51.8%
(47.4% - 56.2%) |
48.4%
(41.5% - 55.3%) |
46.7%
(38.1% - 55.4%) |
61.2%
(52.5% - 69.3%) |
40.5%
(31.8% - 49.6%) |
48.2%
(39.7% - 56.8%) |
56.9%
(46.7% - 66.6%) |
54.5%
(43.6% - 65.2%) |
NA
NA |
32.3%
(23.1% - 42.6%) |
| Pantheon/Varus (MT/RU) | 50.5%
48.1% |
42.2%
(37.7% - 46.8%) |
45.5%
(38.8% - 52.3%) |
45.9%
(37.6% - 54.3%) |
51.8%
(42.2% - 61.2%) |
25.7%
(18.6% - 33.9%) |
60.2%
(51.1% - 68.7%) |
43.0%
(33.5% - 52.9%) |
59.4%
(48.9% - 69.3%) |
67.7%
(57.4% - 76.9%) |
NA
NA |
| MatchUp values from Ranked games of the player who attended the last Seasonal Tournament Order of the Archetypes based on the playrate. Source: Metadata of games collected with RiotGames API | |||||||||||