Patch 3.11 - Week 2 - The Nicest of Reports
Number of Seasonal Players: 2239
Number of Master Players: 422
Number of (Ranked) Seasonal matches analysed 131476 or 262952 games.
Number of (Ranked) Master matches analysed 22007 or 44014 games.
Last Update: 2022-08-03 19:28
Patch 3.11 - Week 2 - by the Numbers1 | ||||
---|---|---|---|---|
Characteristic3 | Seasonal2 | Master2 | ||
N = 186,6584 | N = 131,4764 | N = 28,0824 | N = 22,0074 | |
Status | ||||
Ranked | 131,476 (70%) | 22,007 (78%) | ||
Other | 26,273 (14%) | 3,134 (11%) | ||
ThePathOfChampions | 24,644 (13%) | 2,133 (7.6%) | ||
Labs | 2,426 (1.3%) | 394 (1.4%) | ||
Friendly Bo3 | 1,839 (1.0%) | 414 (1.5%) | ||
Server | ||||
Americas | 70,794 (38%) | 48,104 (37%) | 9,486 (34%) | 7,696 (35%) |
Apac | 49,453 (26%) | 34,232 (26%) | 9,390 (33%) | 6,739 (31%) |
Europe | 66,411 (36%) | 49,140 (37%) | 9,206 (33%) | 7,572 (34%) |
1 Max datetime recovered: 2022-08-03 16:07:00.54583 UTC from 2022-07-27 18:00:00 to 2022-08-03 18:00:00 UTC | ||||
2 EU Master 137/140 NA Master 152/154 APAC Master 133/133 | ||||
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 |
Shard/Server | Total | |||
---|---|---|---|---|
Americas | Apac | Europe | ||
Player Rank | ||||
Master | 152 (8.8%) | 133 (7.7%) | 137 (7.9%) | 422 (24%) |
Diamond | 468 (27%) | 394 (23%) | 443 (26%) | 1,305 (76%) |
Total | 620 (36%) | 527 (31%) | 580 (34%) | 1,727 (100%) |
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.
Region Play Rate | ||||
---|---|---|---|---|
Relative Frequencies by Inclusion Rate of a Region | ||||
Freq | Shard | |||
America | Apac | Europe | ||
Regions | ||||
Shurima | 16.41% | 16.33% | 17.39% | 15.81% |
Noxus | 13.48% | 13.76% | 13.90% | 12.91% |
Bilgewater | 12.33% | 12.90% | 12.17% | 11.89% |
Demacia | 10.92% | 10.74% | 11.70% | 10.56% |
ShadowIsles | 9.58% | 9.33% | 9.22% | 10.07% |
Piltover | 7.86% | 7.89% | 7.66% | 7.97% |
Ionia | 6.92% | 6.60% | 7.07% | 7.12% |
Freljord | 4.75% | 4.73% | 4.27% | 5.10% |
BandleCity | 2.98% | 3.29% | 2.47% | 3.04% |
MtTargon | 2.32% | 2.60% | 1.85% | 2.38% |
Runeterra | ||||
Bard | 9.64% | 9.17% | 9.20% | 10.41% |
Jhin | 1.77% | 1.69% | 1.75% | 1.85% |
Evelynn | 1.03% | 0.97% | 1.35% | 0.88% |
total | 12.44% | 11.83% | 12.31% | 13.14% |
Patch 3.11 - Week 2 Ranked games from 2022-07-27 18:00:00 UTC to 2022-08-03 18:00:00 UTC Source: Metadata of games collected with RiotGames API Last Update: 2022-08-03 17:28:02.241785 |
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 | 17.88% | 17.89% | 19.06% | 17.03% |
Bilgewater | 15.16% | 15.53% | 14.67% | 15.13% |
Noxus | 12.77% | 13.27% | 13.28% | 11.92% |
Demacia | 9.72% | 9.60% | 10.26% | 9.45% |
ShadowIsles | 9.30% | 9.07% | 9.14% | 9.64% |
Piltover | 9.20% | 9.07% | 8.95% | 9.51% |
Ionia | 8.72% | 8.13% | 8.85% | 9.20% |
Runeterra | 7.53% | 7.13% | 7.47% | 7.95% |
Freljord | 5.00% | 5.07% | 4.54% | 5.26% |
BandleCity | 2.57% | 2.84% | 2.01% | 2.69% |
MtTargon | 2.16% | 2.40% | 1.76% | 2.22% |
Patch 3.11 - Week 2 Ranked games from 2022-07-27 18:00:00 UTC to 2022-08-03 18:00:00 UTC Source: Metadata of games collected with RiotGames API Last Update: 2022-08-03 17:28:02.241785 |
Source: Metadata of games collected with RiotGames API. Last Update: 2022-08-03 17:30:03.026827 FALSE
Source: Metadata of games collected with RiotGames API. Last Update: 2022-08-03 17:30:03.261811 FALSE
Each playrate is stacked upon the other with the decks with the highest overall play-rate (the written value) being at the bottom.
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
Top Win rates of the top10 best performing least played combination of champions. Play rate \(\in [0.1%, 1%)\)
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”.
The win rates on the grid are among the 10 most played champion combination.
WR (WRmeta) | Bard/Illaoi (BW/RU) | Kai'Sa (DE/SH) | Kai'Sa/Sivir (DE/SH) | Annie/Twisted Fate (BW/NX) | Azir/Irelia (IO/SH) | Annie/Jhin (NX/RU) | Bard/Shen (IO/RU) | Sentinel Control | Akshan/Kai'Sa (DE/SH) | Pack Your Catalogue (NX/SI) | |
---|---|---|---|---|---|---|---|---|---|---|---|
Bard/Illaoi (BW/RU) | 54.1%
51.0% |
NA
NA |
47.3%
(45.5% - 49.1%) |
43.4%
(40.9% - 46.0%) |
53.1%
(50.4% - 55.7%) |
60.3%
(57.6% - 62.9%) |
63.1%
(60.2% - 66.0%) |
34.1%
(31.2% - 37.1%) |
56.7%
(53.4% - 60.1%) |
48.1%
(44.6% - 51.6%) |
60.1%
(56.5% - 63.6%) |
Kai'Sa (DE/SH) | 54.1%
52.0% |
52.7%
(50.9% - 54.5%) |
NA
NA |
51.4%
(48.3% - 54.6%) |
56.1%
(53.2% - 58.9%) |
44.1%
(41.0% - 47.2%) |
41.1%
(37.9% - 44.3%) |
64.2%
(61.0% - 67.3%) |
55.6%
(51.8% - 59.4%) |
53.2%
(48.8% - 57.6%) |
59.9%
(55.5% - 64.2%) |
Kai'Sa/Sivir (DE/SH) | 54.4%
52.7% |
56.6%
(54.0% - 59.1%) |
48.6%
(45.4% - 51.7%) |
NA
NA |
60.3%
(55.7% - 64.8%) |
46.5%
(42.0% - 51.0%) |
48.7%
(43.8% - 53.6%) |
54.7%
(49.8% - 59.6%) |
50.9%
(45.0% - 56.7%) |
48.5%
(42.7% - 54.3%) |
60.8%
(55.1% - 66.2%) |
Annie/Twisted Fate (BW/NX) | 51.9%
49.8% |
46.9%
(44.3% - 49.6%) |
43.9%
(41.1% - 46.8%) |
39.7%
(35.2% - 44.3%) |
NA
NA |
67.4%
(63.0% - 71.6%) |
47.5%
(42.4% - 52.7%) |
56.2%
(51.0% - 61.3%) |
55.3%
(49.4% - 61.1%) |
44.9%
(39.1% - 50.9%) |
56.5%
(49.6% - 63.2%) |
Azir/Irelia (IO/SH) | 50.3%
46.9% |
39.7%
(37.1% - 42.4%) |
55.9%
(52.8% - 59.0%) |
53.5%
(49.0% - 58.0%) |
32.6%
(28.4% - 37.0%) |
NA
NA |
28.0%
(23.6% - 32.7%) |
52.9%
(47.3% - 58.4%) |
49.1%
(43.3% - 55.0%) |
63.7%
(57.9% - 69.2%) |
41.8%
(35.9% - 47.8%) |
Annie/Jhin (NX/RU) | 52.4%
51.3% |
36.9%
(34.0% - 39.8%) |
58.9%
(55.7% - 62.1%) |
51.3%
(46.4% - 56.2%) |
52.5%
(47.3% - 57.6%) |
72.0%
(67.3% - 76.4%) |
NA
NA |
64.4%
(58.4% - 70.2%) |
36.1%
(29.9% - 42.6%) |
58.3%
(51.2% - 65.2%) |
39.2%
(32.2% - 46.5%) |
Bard/Shen (IO/RU) | 53.0%
49.7% |
65.9%
(62.9% - 68.8%) |
35.8%
(32.7% - 39.0%) |
45.3%
(40.4% - 50.2%) |
43.8%
(38.7% - 49.0%) |
47.1%
(41.6% - 52.7%) |
35.6%
(29.8% - 41.6%) |
NA
NA |
43.5%
(36.7% - 50.6%) |
42.6%
(34.9% - 50.6%) |
62.1%
(54.4% - 69.3%) |
Sentinel Control | 52.6%
49.0% |
43.3%
(39.9% - 46.6%) |
44.4%
(40.6% - 48.2%) |
49.1%
(43.3% - 55.0%) |
44.7%
(38.9% - 50.6%) |
50.9%
(45.0% - 56.7%) |
63.9%
(57.4% - 70.1%) |
56.5%
(49.4% - 63.3%) |
NA
NA |
47.5%
(39.9% - 55.1%) |
47.2%
(39.3% - 55.2%) |
Akshan/Kai'Sa (DE/SH) | 52.3%
49.4% |
51.9%
(48.4% - 55.4%) |
46.8%
(42.4% - 51.2%) |
51.5%
(45.7% - 57.3%) |
55.1%
(49.1% - 60.9%) |
36.3%
(30.8% - 42.1%) |
41.7%
(34.8% - 48.8%) |
57.4%
(49.4% - 65.1%) |
52.5%
(44.9% - 60.1%) |
NA
NA |
57.9%
(50.0% - 65.6%) |
Pack Your Catalogue (NX/SI) | 48.3%
46.0% |
39.9%
(36.4% - 43.5%) |
40.1%
(35.8% - 44.5%) |
39.2%
(33.8% - 44.9%) |
43.5%
(36.8% - 50.4%) |
58.2%
(52.2% - 64.1%) |
60.8%
(53.5% - 67.8%) |
37.9%
(30.7% - 45.6%) |
52.8%
(44.8% - 60.7%) |
42.1%
(34.4% - 50.0%) |
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 |