Data
Number of Master Players: 841
Number of HighDiamond 1 Players: 2116
Number of (Ranked) Master matches analysed 35663 or 71326 games.
Number of (Ranked) ~HighDiamond matches analysed 113217 or 226434 games.
Last Update: 2022-08-10 18:27
Games
| Patch 3.12 - Week 1 - by the Numbers1 | ||||
|---|---|---|---|---|
| Characteristic3 | Master2 | ~HighDiamond2 | ||
| N = 51,4664 | N = 35,6634 | N = 151,1424 | N = 113,2174 | |
| Status | ||||
| Ranked | 35,663 (69%) | 113,217 (75%) | ||
| Other | 8,560 (17%) | 14,355 (9.5%) | ||
| ThePathOfChampions | 5,816 (11%) | 21,320 (14%) | ||
| Friendly Bo3 | 771 (1.5%) | 876 (0.6%) | ||
| Labs | 656 (1.3%) | 1,374 (0.9%) | ||
| Server | ||||
| Americas | 18,330 (36%) | 12,063 (34%) | 54,537 (36%) | 41,519 (37%) |
| Apac | 17,202 (33%) | 11,639 (33%) | 47,400 (31%) | 33,549 (30%) |
| Europe | 15,934 (31%) | 11,961 (34%) | 49,205 (33%) | 38,149 (34%) |
| 1 Max datetime recovered: 2022-08-10 16:04:23.446615 UTC from 2022-08-03 18:00:00 to 2022-08-10 18:00:00 UTC | ||||
| 2 EU Master 283/283 NA Master 309/310 APAC Master 249/249 | ||||
| 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 | ||||
Account
| Shard/Server | Total | |||
|---|---|---|---|---|
| Americas | Apac | Europe | ||
| Player Rank | ||||
| Master | 309 (10%) | 249 (8.4%) | 283 (9.6%) | 841 (28%) |
| Diamond | 754 (25%) | 646 (22%) | 716 (24%) | 2,116 (72%) |
| Total | 1,063 (36%) | 895 (30%) | 999 (34%) | 2,957 (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 | ||||
| Shurima | 17.70% | 16.71% | 20.81% | 15.67% |
| Bilgewater | 13.83% | 14.55% | 13.41% | 13.50% |
| Demacia | 11.17% | 11.23% | 12.04% | 10.26% |
| Noxus | 9.99% | 9.38% | 10.23% | 10.38% |
| ShadowIsles | 9.24% | 9.73% | 8.58% | 9.40% |
| Freljord | 7.20% | 7.02% | 7.50% | 7.10% |
| Piltover | 6.94% | 7.62% | 5.62% | 7.53% |
| BandleCity | 6.21% | 6.76% | 6.45% | 5.42% |
| Ionia | 5.42% | 4.70% | 4.41% | 7.13% |
| MtTargon | 3.25% | 5.03% | 2.47% | 2.20% |
| Runeterra | ||||
| Bard | 6.61% | 5.13% | 6.15% | 8.55% |
| Jhin | 2.14% | 1.75% | 2.01% | 2.65% |
| Evelynn | 0.30% | 0.38% | 0.31% | 0.21% |
| total | 9.05% | 7.27% | 8.47% | 11.42% |
| Patch 3.12 - Week 1 Ranked games from 2022-08-03 18:00:00 UTC to 2022-08-10 18:00:00 UTC Source: Metadata of games collected with RiotGames API Last Update: 2022-08-10 16:25:39.223015 | ||||
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 | ||||
| Shurima | 19.39% | 18.14% | 23.24% | 16.90% |
| Bilgewater | 18.85% | 20.18% | 17.71% | 18.62% |
| Noxus | 9.29% | 8.88% | 9.61% | 9.41% |
| Demacia | 9.23% | 9.67% | 9.38% | 8.64% |
| ShadowIsles | 9.07% | 9.85% | 9.08% | 8.26% |
| Piltover | 7.87% | 8.32% | 6.37% | 8.88% |
| Freljord | 6.92% | 6.53% | 7.19% | 7.05% |
| Ionia | 6.89% | 5.66% | 5.38% | 9.59% |
| Runeterra | 6.06% | 4.82% | 5.71% | 7.66% |
| BandleCity | 3.51% | 3.50% | 4.08% | 2.97% |
| MtTargon | 2.92% | 4.44% | 2.25% | 2.02% |
| Patch 3.12 - Week 1 Ranked games from 2022-08-03 18:00:00 UTC to 2022-08-10 18:00:00 UTC Source: Metadata of games collected with RiotGames API Last Update: 2022-08-10 16:25:39.223015 | ||||
Champions Combinations
Play Rates
Plot
from Master
Source: Metadata of games collected with RiotGames API. Last Update: 2022-08-10 16:28:40.133317 FALSE
from Diamond
Source: Metadata of games collected with RiotGames API. Last Update: 2022-08-10 16:28:40.29691 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) | Kai'Sa (DE/SH) | Plunder Pandemonium (BC/BW) | Bard/Illaoi (BW/RU) | Lissandra/Taliyah (FR/SH) | Annie/Jhin (NX/RU) | Kai'Sa/Sivir (DE/SH) | Azir/Irelia (IO/SH) | Annie/Twisted Fate (BW/NX) | Trundle Timelines (FR/PZ) | Sentinel Control | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Kai'Sa (DE/SH) | 54.8%
52.8% |
NA
NA |
57.5%
(53.9% - 61.1%) |
51.6%
(47.7% - 55.5%) |
55.7%
(51.8% - 59.5%) |
50.0%
(45.1% - 54.9%) |
50.0%
(43.6% - 56.4%) |
47.4%
(40.7% - 54.1%) |
46.3%
(39.8% - 53.0%) |
59.8%
(52.1% - 67.1%) |
50.5%
(43.2% - 57.9%) |
| Plunder Pandemonium (BC/BW) | 48.9%
47.8% |
42.5%
(38.9% - 46.1%) |
NA
NA |
49.0%
(43.3% - 54.8%) |
19.1%
(14.8% - 24.0%) |
52.4%
(45.4% - 59.4%) |
48.5%
(39.7% - 57.3%) |
70.5%
(60.3% - 79.4%) |
74.2%
(63.8% - 82.9%) |
50.0%
(39.7% - 60.3%) |
72.9%
(62.2% - 82.0%) |
| Bard/Illaoi (BW/RU) | 54.5%
51.5% |
48.4%
(44.5% - 52.3%) |
51.0%
(45.2% - 56.7%) |
NA
NA |
63.3%
(56.3% - 69.9%) |
64.0%
(57.0% - 70.6%) |
34.3%
(27.4% - 41.7%) |
60.0%
(52.1% - 67.5%) |
57.3%
(46.8% - 67.3%) |
56.0%
(46.1% - 65.5%) |
55.6%
(46.1% - 64.7%) |
| Lissandra/Taliyah (FR/SH) | 57.0%
53.3% |
44.3%
(40.5% - 48.2%) |
80.9%
(76.0% - 85.2%) |
36.7%
(30.1% - 43.7%) |
NA
NA |
33.5%
(26.3% - 41.4%) |
42.0%
(32.2% - 52.3%) |
31.9%
(22.5% - 42.5%) |
67.1%
(55.4% - 77.5%) |
56.1%
(43.3% - 68.3%) |
68.4%
(54.8% - 80.1%) |
| Annie/Jhin (NX/RU) | 51.7%
50.1% |
50.0%
(45.1% - 54.9%) |
47.6%
(40.6% - 54.6%) |
36.0%
(29.4% - 43.0%) |
66.5%
(58.6% - 73.7%) |
NA
NA |
54.3%
(43.7% - 64.6%) |
65.8%
(54.0% - 76.3%) |
45.5%
(32.0% - 59.4%) |
61.5%
(48.6% - 73.3%) |
29.5%
(18.5% - 42.6%) |
| Kai'Sa/Sivir (DE/SH) | 55.1%
55.0% |
50.0%
(43.6% - 56.4%) |
51.5%
(42.7% - 60.3%) |
65.7%
(58.3% - 72.6%) |
58.0%
(47.7% - 67.8%) |
45.7%
(35.4% - 56.3%) |
NA
NA |
54.3%
(41.9% - 66.3%) |
56.0%
(41.3% - 70.0%) |
47.4%
(34.0% - 61.0%) |
57.9%
(44.1% - 70.9%) |
| Azir/Irelia (IO/SH) | 49.0%
47.0% |
52.6%
(45.9% - 59.3%) |
29.5%
(20.6% - 39.7%) |
40.0%
(32.5% - 47.9%) |
68.1%
(57.5% - 77.5%) |
34.2%
(23.7% - 46.0%) |
45.7%
(33.7% - 58.1%) |
NA
NA |
22.2%
(12.0% - 35.6%) |
65.7%
(47.8% - 80.9%) |
47.7%
(32.5% - 63.3%) |
| Annie/Twisted Fate (BW/NX) | 50.9%
48.4% |
53.7%
(47.0% - 60.2%) |
25.8%
(17.1% - 36.2%) |
42.7%
(32.7% - 53.2%) |
32.9%
(22.5% - 44.6%) |
54.5%
(40.6% - 68.0%) |
44.0%
(30.0% - 58.7%) |
77.8%
(64.4% - 88.0%) |
NA
NA |
54.5%
(36.4% - 71.9%) |
57.6%
(39.2% - 74.5%) |
| Trundle Timelines (FR/PZ) | 50.2%
47.0% |
40.2%
(32.9% - 47.9%) |
50.0%
(39.7% - 60.3%) |
44.0%
(34.5% - 53.9%) |
43.9%
(31.7% - 56.7%) |
38.5%
(26.7% - 51.4%) |
52.6%
(39.0% - 66.0%) |
34.3%
(19.1% - 52.2%) |
45.5%
(28.1% - 63.6%) |
NA
NA |
63.0%
(47.5% - 76.8%) |
| Sentinel Control | 48.5%
45.5% |
49.5%
(42.1% - 56.8%) |
27.1%
(18.0% - 37.8%) |
44.4%
(35.3% - 53.9%) |
31.6%
(19.9% - 45.2%) |
70.5%
(57.4% - 81.5%) |
42.1%
(29.1% - 55.9%) |
52.3%
(36.7% - 67.5%) |
42.4%
(25.5% - 60.8%) |
37.0%
(23.2% - 52.5%) |
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 | |||||||||||