Data
Number of Master Players: 1526
Number of HighDiamond 1 Players: 3247
Number of (Ranked) Master matches analysed 48011 or 96022 games.
Number of (Ranked) ~HighDiamond matches analysed 140454 or 280908 games.
Last Update: 2022-08-19 05:55
Games
| Patch 3.12 - Week 2 - by the Numbers1 | ||||
|---|---|---|---|---|
| Characteristic3 | Master2 | ~HighDiamond2 | ||
| N = 78,2744 | N = 48,0114 | N = 197,1174 | N = 140,4544 | |
| Status | ||||
| Ranked | 48,011 (61%) | 140,454 (71%) | ||
| Other | 15,173 (19%) | 21,611 (11%) | ||
| ThePathOfChampions | 13,148 (17%) | 31,909 (16%) | ||
| Labs | 1,133 (1.4%) | 2,209 (1.1%) | ||
| Friendly Bo3 | 809 (1.0%) | 934 (0.5%) | ||
| Server | ||||
| Americas | 30,072 (38%) | 17,696 (37%) | 70,774 (36%) | 50,771 (36%) |
| Apac | 22,406 (29%) | 12,700 (26%) | 61,997 (31%) | 42,563 (30%) |
| Europe | 25,796 (33%) | 17,615 (37%) | 64,346 (33%) | 47,120 (34%) |
| 1 Max datetime recovered: 2022-08-17 17:59:59.467832 UTC from 2022-08-10 18:00:00 to 2022-08-17 18:00:00 UTC | ||||
| 2 EU Master 521/521 NA Master 582/586 APAC Master 423/423 | ||||
| 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 | 582 (12%) | 423 (8.9%) | 521 (11%) | 1,526 (32%) |
| Diamond | 1,143 (24%) | 1,015 (21%) | 1,089 (23%) | 3,247 (68%) |
| Total | 1,725 (36%) | 1,438 (30%) | 1,610 (34%) | 4,773 (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 | 18.19% | 17.83% | 20.26% | 17.07% |
| Bilgewater | 12.22% | 12.95% | 11.70% | 11.85% |
| Demacia | 11.99% | 12.52% | 12.04% | 11.42% |
| Noxus | 10.37% | 10.16% | 11.23% | 9.95% |
| ShadowIsles | 9.84% | 9.81% | 8.96% | 10.50% |
| Piltover | 8.06% | 9.20% | 6.48% | 8.04% |
| Freljord | 7.03% | 6.29% | 7.57% | 7.38% |
| BandleCity | 4.92% | 4.71% | 5.25% | 4.89% |
| Ionia | 4.76% | 5.09% | 3.59% | 5.26% |
| MtTargon | 3.37% | 3.59% | 2.78% | 3.58% |
| Runeterra | ||||
| Bard | 6.16% | 5.78% | 6.16% | 6.55% |
| Jhin | 2.83% | 1.63% | 3.85% | 3.30% |
| Evelynn | 0.27% | 0.43% | 0.13% | 0.20% |
| total | 9.26% | 7.84% | 10.13% | 10.05% |
| Patch 3.12 - Week 2 Ranked games from 2022-08-10 18:00:00 UTC to 2022-08-17 18:00:00 UTC Source: Metadata of games collected with RiotGames API Last Update: 2022-08-19 03:54:14.238797 | ||||
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 | 20.28% | 19.81% | 23.40% | 18.49% |
| Bilgewater | 15.70% | 16.23% | 15.22% | 15.53% |
| Demacia | 10.18% | 10.70% | 9.45% | 10.19% |
| ShadowIsles | 9.27% | 9.51% | 8.61% | 9.52% |
| Noxus | 9.27% | 9.31% | 10.02% | 8.69% |
| Piltover | 9.02% | 10.06% | 7.24% | 9.26% |
| Freljord | 6.92% | 6.16% | 7.45% | 7.29% |
| Runeterra | 6.75% | 5.17% | 8.07% | 7.38% |
| Ionia | 6.10% | 6.38% | 4.54% | 6.95% |
| BandleCity | 3.32% | 3.15% | 3.43% | 3.40% |
| MtTargon | 3.18% | 3.52% | 2.56% | 3.30% |
| Patch 3.12 - Week 2 Ranked games from 2022-08-10 18:00:00 UTC to 2022-08-17 18:00:00 UTC Source: Metadata of games collected with RiotGames API Last Update: 2022-08-19 03:54:14.238797 | ||||
Champions Combinations
Play Rates
Plot
from Master
Source: Metadata of games collected with RiotGames API. Last Update: 2022-08-19 03:55:45.206496 FALSE
from Diamond
Source: Metadata of games collected with RiotGames API. Last Update: 2022-08-19 03:55:45.38377 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) | Bard/Illaoi (BW/RU) | Annie/Jhin (NX/RU) | Pirates (BW/NX) | Lissandra/Taliyah (FR/SH) | Plunder Pandemonium (BC/BW) | Trundle Timelines (FR/PZ) | Gwen/Sejuani (FR/SI) | Sentinel Control | Azir/Irelia (IO/SH) | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Kai'Sa (DE/SH) | 55.3%
53.0% |
NA
NA |
52.5%
(49.7% - 55.4%) |
50.3%
(47.1% - 53.6%) |
42.1%
(38.0% - 46.2%) |
59.5%
(55.9% - 63.0%) |
63.3%
(59.5% - 67.1%) |
54.5%
(49.7% - 59.3%) |
50.7%
(45.4% - 56.0%) |
59.8%
(54.3% - 65.0%) |
48.7%
(43.3% - 54.1%) |
| Bard/Illaoi (BW/RU) | 56.0%
54.3% |
47.5%
(44.6% - 50.3%) |
NA
NA |
67.1%
(61.7% - 72.1%) |
55.6%
(48.7% - 62.4%) |
60.4%
(54.6% - 66.0%) |
50.2%
(43.5% - 57.0%) |
64.9%
(57.7% - 71.7%) |
50.0%
(41.7% - 58.3%) |
56.7%
(47.9% - 65.2%) |
56.1%
(47.7% - 64.2%) |
| Annie/Jhin (NX/RU) | 50.1%
49.4% |
49.7%
(46.4% - 52.9%) |
32.9%
(27.9% - 38.3%) |
NA
NA |
28.9%
(21.7% - 36.8%) |
66.1%
(59.7% - 72.1%) |
49.5%
(42.3% - 56.7%) |
63.0%
(54.2% - 71.1%) |
52.1%
(42.7% - 61.5%) |
38.7%
(29.4% - 48.6%) |
67.7%
(57.4% - 76.9%) |
| Pirates (BW/NX) | 57.1%
55.8% |
57.9%
(53.8% - 62.0%) |
44.4%
(37.6% - 51.3%) |
71.1%
(63.2% - 78.3%) |
NA
NA |
33.9%
(25.5% - 43.0%) |
47.7%
(37.9% - 57.5%) |
64.2%
(51.5% - 75.5%) |
67.2%
(54.0% - 78.7%) |
53.7%
(42.3% - 64.7%) |
72.1%
(59.9% - 82.3%) |
| Lissandra/Taliyah (FR/SH) | 53.2%
49.8% |
40.5%
(37.0% - 44.1%) |
39.6%
(34.0% - 45.4%) |
33.9%
(27.9% - 40.3%) |
66.1%
(57.0% - 74.5%) |
NA
NA |
81.2%
(74.1% - 87.0%) |
46.6%
(36.7% - 56.7%) |
65.8%
(54.3% - 76.1%) |
61.9%
(50.7% - 72.3%) |
34.0%
(24.6% - 44.5%) |
| Plunder Pandemonium (BC/BW) | 48.2%
45.7% |
36.7%
(32.9% - 40.5%) |
49.8%
(43.0% - 56.5%) |
50.5%
(43.3% - 57.7%) |
52.3%
(42.5% - 62.1%) |
18.8%
(13.0% - 25.9%) |
NA
NA |
46.2%
(35.6% - 56.9%) |
44.2%
(32.8% - 55.9%) |
55.6%
(44.1% - 66.6%) |
51.1%
(40.3% - 61.8%) |
| Trundle Timelines (FR/PZ) | 48.6%
45.5% |
45.5%
(40.7% - 50.3%) |
35.1%
(28.3% - 42.3%) |
37.0%
(28.9% - 45.8%) |
35.8%
(24.5% - 48.5%) |
53.4%
(43.3% - 63.3%) |
53.8%
(43.1% - 64.4%) |
NA
NA |
46.8%
(32.1% - 61.9%) |
51.1%
(35.8% - 66.3%) |
44.3%
(31.5% - 57.6%) |
| Gwen/Sejuani (FR/SI) | 49.4%
47.7% |
49.3%
(44.0% - 54.6%) |
50.0%
(41.7% - 58.3%) |
47.9%
(38.5% - 57.3%) |
32.8%
(21.3% - 46.0%) |
34.2%
(23.9% - 45.7%) |
55.8%
(44.1% - 67.2%) |
53.2%
(38.1% - 67.9%) |
NA
NA |
53.5%
(37.7% - 68.8%) |
44.4%
(29.6% - 60.0%) |
| Sentinel Control | 51.6%
47.2% |
40.2%
(35.0% - 45.7%) |
43.3%
(34.8% - 52.1%) |
61.3%
(51.4% - 70.6%) |
46.3%
(35.3% - 57.7%) |
38.1%
(27.7% - 49.3%) |
44.4%
(33.4% - 55.9%) |
48.9%
(33.7% - 64.2%) |
46.5%
(31.2% - 62.3%) |
NA
NA |
62.5%
(48.5% - 75.1%) |
| Azir/Irelia (IO/SH) | 47.7%
46.9% |
51.3%
(45.9% - 56.7%) |
43.9%
(35.8% - 52.3%) |
32.3%
(23.1% - 42.6%) |
27.9%
(17.7% - 40.1%) |
66.0%
(55.5% - 75.4%) |
48.9%
(38.2% - 59.7%) |
55.7%
(42.4% - 68.5%) |
55.6%
(40.0% - 70.4%) |
37.5%
(24.9% - 51.5%) |
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 | |||||||||||