Data
Number of Seasonal Players: 2239
Number of Master Players: 132
Number of (Ranked) Seasonal matches analysed 145095 or 290190 games.
Number of (Ranked) Master matches analysed 7278 or 14556 games.
Last Update: 2022-07-27 18:50
Games
| Patch 3.11 - Week 1 - by the Numbers1 | ||||
|---|---|---|---|---|
| Characteristic3 | Seasonal2 | Master2 | ||
| N = 201,1014 | N = 145,0954 | N = 7,9954 | N = 7,2784 | |
| Status | ||||
| Ranked | 145,095 (72%) | 7,278 (91%) | ||
| Other | 25,299 (13%) | 341 (4.3%) | ||
| ThePathOfChampions | 24,998 (12%) | 139 (1.7%) | ||
| Labs | 4,069 (2.0%) | 111 (1.4%) | ||
| Friendly Bo3 | 1,640 (0.8%) | 126 (1.6%) | ||
| Server | ||||
| Americas | 78,216 (39%) | 55,734 (38%) | 2,227 (28%) | 2,005 (28%) |
| Apac | 53,448 (27%) | 37,467 (26%) | 2,812 (35%) | 2,555 (35%) |
| Europe | 69,437 (35%) | 51,894 (36%) | 2,956 (37%) | 2,718 (37%) |
| 1 Max datetime recovered: 2022-07-27 16:03:27.713738 UTC from 2022-07-20 18:00:00 to 2022-07-27 18:00:00 UTC | ||||
| 2 EU Master 43/43 NA Master 45/45 APAC Master 44/44 | ||||
| 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 | 45 (6.8%) | 44 (6.6%) | 43 (6.5%) | 132 (20%) |
| Diamond | 199 (30%) | 169 (25%) | 164 (25%) | 532 (80%) |
| Total | 244 (37%) | 213 (32%) | 207 (31%) | 664 (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 | 20.39% | 19.41% | 21.99% | 20.29% |
| Noxus | 13.45% | 12.63% | 13.77% | 14.11% |
| Demacia | 11.93% | 11.41% | 12.44% | 12.13% |
| ShadowIsles | 11.27% | 11.58% | 10.19% | 11.72% |
| Piltover | 8.47% | 9.11% | 8.09% | 8.06% |
| Ionia | 8.42% | 8.41% | 8.87% | 8.10% |
| Bilgewater | 8.03% | 8.62% | 7.48% | 7.81% |
| Freljord | 4.55% | 4.69% | 4.47% | 4.44% |
| BandleCity | 3.95% | 4.14% | 3.91% | 3.79% |
| MtTargon | 2.32% | 2.80% | 1.73% | 2.23% |
| Runeterra | ||||
| Bard | 3.52% | 3.68% | 3.51% | 3.35% |
| Evelynn | 2.15% | 2.31% | 1.99% | 2.09% |
| Jhin | 1.55% | 1.22% | 1.57% | 1.89% |
| total | 7.22% | 7.21% | 7.07% | 7.33% |
| Patch 3.11 - Week 1 Ranked games from 2022-07-20 18:00:00 UTC to 2022-07-27 18:00:00 UTC Source: Metadata of games collected with RiotGames API Last Update: 2022-07-27 16:41:07.752361 | ||||
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 | 21.72% | 20.63% | 23.25% | 21.80% |
| Noxus | 12.41% | 11.66% | 12.92% | 12.85% |
| ShadowIsles | 11.38% | 11.71% | 10.48% | 11.68% |
| Demacia | 10.88% | 10.51% | 11.24% | 11.03% |
| Piltover | 9.97% | 10.70% | 9.50% | 9.51% |
| Ionia | 9.63% | 9.55% | 10.23% | 9.28% |
| Bilgewater | 8.71% | 9.60% | 7.76% | 8.45% |
| Runeterra | 5.30% | 5.04% | 5.20% | 5.65% |
| Freljord | 4.57% | 4.62% | 4.55% | 4.54% |
| BandleCity | 3.34% | 3.42% | 3.31% | 3.27% |
| MtTargon | 2.08% | 2.56% | 1.56% | 1.95% |
| Patch 3.11 - Week 1 Ranked games from 2022-07-20 18:00:00 UTC to 2022-07-27 18:00:00 UTC Source: Metadata of games collected with RiotGames API Last Update: 2022-07-27 16:41:07.752361 | ||||
Champions Combinations
Play Rates
Plot
from Seasonal
Source: Metadata of games collected with RiotGames API. Last Update: 2022-07-27 16:52:15.116843 FALSE
from Master
Source: Metadata of games collected with RiotGames API. Last Update: 2022-07-27 16:52:15.367526 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.
| Azir/Irelia (IO/SH) | Kai'Sa (DE/SH) | Akshan/Kai'Sa (DE/SH) | Annie/Twisted Fate (BW/NX) | Katarina/Yasuo (IO/NX) | Bard/Illaoi (BW/RU) | Kai'Sa/Sivir (DE/SH) | Annie/Jhin (NX/RU) | Heimerdinger/Jayce (PZ/SI) | Annie/Gwen (NX/SI) | |
|---|---|---|---|---|---|---|---|---|---|---|
| Azir/Irelia (IO/SH) | NA
NA |
59.0%
(56.4% - 61.6%) |
59.3%
(56.6% - 62.1%) |
35.9%
(33.2% - 38.7%) |
64.9%
(61.9% - 67.8%) |
39.0%
(35.6% - 42.5%) |
51.5%
(47.8% - 55.1%) |
31.7%
(28.1% - 35.5%) |
45.8%
(41.5% - 50.1%) |
48.2%
(43.8% - 52.6%) |
| Kai'Sa (DE/SH) | 41.0%
(38.4% - 43.6%) |
NA
NA |
54.1%
(51.1% - 57.0%) |
55.9%
(53.1% - 58.6%) |
42.8%
(39.6% - 46.1%) |
50.2%
(47.2% - 53.3%) |
52.0%
(48.4% - 55.6%) |
39.7%
(35.9% - 43.6%) |
51.6%
(47.6% - 55.5%) |
67.2%
(63.1% - 71.1%) |
| Akshan/Kai'Sa (DE/SH) | 40.7%
(37.9% - 43.4%) |
45.9%
(43.0% - 48.9%) |
NA
NA |
51.8%
(48.5% - 55.0%) |
46.0%
(42.6% - 49.5%) |
51.9%
(48.2% - 55.7%) |
49.1%
(45.0% - 53.2%) |
42.1%
(37.7% - 46.7%) |
44.9%
(40.2% - 49.7%) |
66.7%
(62.0% - 71.1%) |
| Annie/Twisted Fate (BW/NX) | 64.1%
(61.3% - 66.8%) |
44.1%
(41.4% - 46.9%) |
48.2%
(45.0% - 51.5%) |
NA
NA |
77.3%
(74.2% - 80.2%) |
47.3%
(43.6% - 51.0%) |
40.6%
(36.8% - 44.5%) |
54.7%
(50.2% - 59.2%) |
52.1%
(47.5% - 56.7%) |
62.0%
(57.2% - 66.5%) |
| Katarina/Yasuo (IO/NX) | 35.1%
(32.2% - 38.1%) |
57.2%
(53.9% - 60.4%) |
54.0%
(50.5% - 57.4%) |
22.7%
(19.8% - 25.8%) |
NA
NA |
41.1%
(36.8% - 45.5%) |
41.9%
(37.6% - 46.3%) |
36.8%
(31.8% - 41.9%) |
35.8%
(31.0% - 40.9%) |
44.5%
(39.2% - 49.9%) |
| Bard/Illaoi (BW/RU) | 61.0%
(57.5% - 64.4%) |
49.8%
(46.7% - 52.8%) |
48.1%
(44.3% - 51.8%) |
52.7%
(49.0% - 56.4%) |
58.9%
(54.5% - 63.2%) |
NA
NA |
48.3%
(43.8% - 52.8%) |
66.6%
(61.8% - 71.2%) |
55.1%
(50.3% - 59.9%) |
61.9%
(56.6% - 67.0%) |
| Kai'Sa/Sivir (DE/SH) | 48.5%
(44.9% - 52.2%) |
48.0%
(44.4% - 51.6%) |
50.9%
(46.8% - 55.0%) |
59.4%
(55.5% - 63.2%) |
58.1%
(53.7% - 62.4%) |
51.7%
(47.2% - 56.2%) |
NA
NA |
48.8%
(43.5% - 54.0%) |
58.3%
(53.0% - 63.5%) |
69.5%
(64.2% - 74.5%) |
| Annie/Jhin (NX/RU) | 68.3%
(64.5% - 71.9%) |
60.3%
(56.4% - 64.1%) |
57.9%
(53.3% - 62.3%) |
45.3%
(40.8% - 49.8%) |
63.2%
(58.1% - 68.2%) |
33.4%
(28.8% - 38.2%) |
51.2%
(46.0% - 56.5%) |
NA
NA |
37.8%
(31.6% - 44.2%) |
39.0%
(32.6% - 45.6%) |
| Heimerdinger/Jayce (PZ/SI) | 54.2%
(49.9% - 58.5%) |
48.4%
(44.5% - 52.4%) |
55.1%
(50.3% - 59.8%) |
47.9%
(43.3% - 52.5%) |
64.2%
(59.1% - 69.0%) |
44.9%
(40.1% - 49.7%) |
41.7%
(36.5% - 47.0%) |
62.2%
(55.8% - 68.4%) |
NA
NA |
55.6%
(48.7% - 62.3%) |
| Annie/Gwen (NX/SI) | 51.8%
(47.4% - 56.2%) |
32.8%
(28.9% - 36.9%) |
33.3%
(28.9% - 38.0%) |
38.0%
(33.5% - 42.8%) |
55.5%
(50.1% - 60.8%) |
38.1%
(33.0% - 43.4%) |
30.5%
(25.5% - 35.8%) |
61.0%
(54.4% - 67.4%) |
44.4%
(37.7% - 51.3%) |
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 | ||||||||||