Patch 3.17 - Week 1 - Pointing menacely
Number of Seasonal Players: 2459
Number of Master Players: 500
Number of (Ranked) Seasonal matches analysed 137231 or 274462 games.
Number of (Ranked) Master matches analysed 20248 or 40496 games.
Last Update: 2022-10-19 18:45
Patch 3.17 - Week 1 - by the Numbers1 | ||||
Characteristic | Seasonal2 | Master2 | ||
---|---|---|---|---|
N = 201,2103 | N = 137,2313 | N = 25,7663 | N = 20,2483 | |
Status | ||||
Ranked | 137,231 (68%) | 20,248 (79%) | ||
ThePathOfChampions | 37,554 (19%) | 2,937 (11%) | ||
Other | 23,474 (12%) | 2,095 (8.1%) | ||
Friendly Bo3 | 2,315 (1.2%) | 438 (1.7%) | ||
Labs | 636 (0.3%) | 48 (0.2%) | ||
Server | ||||
Americas | 84,057 (42%) | 59,271 (43%) | 9,989 (39%) | 7,063 (35%) |
Apac | 59,110 (29%) | 38,636 (28%) | 8,501 (33%) | 6,911 (34%) |
Europe | 58,043 (29%) | 39,324 (29%) | 7,276 (28%) | 6,274 (31%) |
1 Max datetime recovered: 2022-10-19 16:06:50.161885 UTC from 2022-10-12 19:00:00 to 2022-10-19 18:00:00 UTC | ||||
2 EU Master 155/155 NA Master 196/198 APAC Master 149/149 | ||||
3 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 | 196 (6.2%) | 149 (4.7%) | 155 (4.9%) | 500 (16%) |
Diamond | 1,070 (34%) | 751 (24%) | 839 (27%) | 2,660 (84%) |
Total | 1,266 (40%) | 900 (28%) | 994 (31%) | 3,160 (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 | ||||
Demacia | 17.24% | 18.01% | 17.68% | 15.66% |
Piltover | 15.86% | 15.18% | 15.48% | 17.26% |
Noxus | 15.07% | 14.32% | 14.86% | 16.39% |
Ionia | 8.93% | 7.96% | 9.49% | 9.83% |
ShadowIsles | 8.68% | 9.17% | 9.13% | 7.51% |
Shurima | 7.82% | 7.82% | 8.37% | 7.27% |
MtTargon | 6.11% | 6.12% | 6.10% | 6.10% |
Bilgewater | 5.48% | 5.66% | 5.01% | 5.66% |
Freljord | 3.62% | 3.67% | 3.29% | 3.88% |
BandleCity | 3.20% | 3.39% | 3.21% | 2.90% |
Runeterra | ||||
Varus | 2.86% | 2.80% | 2.78% | 3.02% |
Jhin | 2.12% | 2.24% | 2.02% | 2.03% |
Jax | 1.59% | 1.97% | 1.28% | 1.30% |
Kayn | 1.21% | 1.43% | 1.13% | 0.97% |
Bard | 0.14% | 0.16% | 0.08% | 0.16% |
Evelynn | 0.09% | 0.09% | 0.10% | 0.07% |
total | 8.00% | 8.70% | 7.39% | 7.55% |
Patch 3.17 - Week 1 Ranked games from 2022-10-12 19:00:00 UTC to 2022-10-19 18:00:00 UTC Source: Metadata of games collected with RiotGames API Last Update: 2022-10-19 16:45:30.873594 |
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 | 19.18% | 18.36% | 18.54% | 21.05% |
Demacia | 15.69% | 16.45% | 16.36% | 13.90% |
Noxus | 13.27% | 12.48% | 13.26% | 14.48% |
Ionia | 9.15% | 8.26% | 9.99% | 9.67% |
Runeterra | 8.53% | 9.22% | 7.88% | 8.14% |
ShadowIsles | 8.33% | 8.86% | 8.70% | 7.18% |
Shurima | 7.72% | 7.69% | 8.19% | 7.30% |
MtTargon | 6.38% | 6.47% | 6.32% | 6.32% |
Bilgewater | 5.36% | 5.46% | 4.82% | 5.75% |
Freljord | 3.31% | 3.47% | 2.97% | 3.39% |
BandleCity | 3.06% | 3.28% | 2.98% | 2.81% |
Patch 3.17 - Week 1 Ranked games from 2022-10-12 19:00:00 UTC to 2022-10-19 18:00:00 UTC Source: Metadata of games collected with RiotGames API Last Update: 2022-10-19 16:45:30.873594 |
Source: Metadata of games collected with RiotGames API. Last Update: 2022-10-19 16:46:51.793107 FALSE
Source: Metadata of games collected with RiotGames API. Last Update: 2022-10-19 16:46:52.542447 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) | Ezreal/Seraphine (NX/PZ) | Rumble/Vayne (DE/NX) | Gwen/Vayne (DE/SI) | Vayne/Zed (DE/IO) | Seraphine/Viktor (IO/PZ) | Annie/Jhin (NX/RU) | Pantheon/Vayne (DE/MT) | Akshan/Varus (RU/SH) | Jax/Vayne (DE/RU) | Seraphine/Viktor (PZ/SI) | |
---|---|---|---|---|---|---|---|---|---|---|---|
Ezreal/Seraphine (NX/PZ) | 54.8%
53.6% |
NA
NA |
64.3%
(61.7% - 66.8%) |
54.7%
(51.4% - 58.0%) |
64.1%
(61.3% - 66.9%) |
48.5%
(45.5% - 51.5%) |
56.8%
(53.3% - 60.2%) |
40.2%
(36.7% - 43.8%) |
62.1%
(58.1% - 66.0%) |
40.7%
(37.0% - 44.5%) |
41.6%
(37.9% - 45.2%) |
Rumble/Vayne (DE/NX) | 51.9%
49.0% |
35.7%
(33.2% - 38.3%) |
NA
NA |
57.0%
(52.9% - 61.0%) |
39.3%
(35.6% - 43.0%) |
56.6%
(52.7% - 60.5%) |
50.3%
(46.1% - 54.4%) |
56.0%
(51.7% - 60.3%) |
43.2%
(38.2% - 48.3%) |
45.8%
(40.8% - 50.9%) |
51.4%
(46.7% - 56.1%) |
Gwen/Vayne (DE/SI) | 50.0%
46.6% |
45.3%
(42.0% - 48.6%) |
43.0%
(39.0% - 47.1%) |
NA
NA |
42.0%
(38.1% - 46.1%) |
48.1%
(43.7% - 52.6%) |
48.2%
(44.2% - 52.2%) |
47.2%
(43.2% - 51.2%) |
42.9%
(38.2% - 47.6%) |
44.9%
(39.8% - 50.0%) |
53.3%
(47.8% - 58.7%) |
Vayne/Zed (DE/IO) | 52.5%
50.6% |
35.9%
(33.1% - 38.7%) |
60.7%
(57.0% - 64.4%) |
58.0%
(53.9% - 61.9%) |
NA
NA |
53.1%
(48.8% - 57.4%) |
51.4%
(46.8% - 56.0%) |
55.6%
(50.8% - 60.2%) |
54.5%
(49.4% - 59.5%) |
57.6%
(52.4% - 62.7%) |
41.8%
(36.5% - 47.2%) |
Seraphine/Viktor (IO/PZ) | 53.8%
50.6% |
51.5%
(48.5% - 54.5%) |
43.4%
(39.5% - 47.3%) |
51.9%
(47.4% - 56.3%) |
46.9%
(42.6% - 51.2%) |
NA
NA |
51.4%
(46.8% - 55.9%) |
46.2%
(41.7% - 50.8%) |
58.4%
(53.2% - 63.4%) |
44.7%
(39.0% - 50.6%) |
52.4%
(46.9% - 57.9%) |
Annie/Jhin (NX/RU) | 53.1%
51.2% |
43.2%
(39.8% - 46.7%) |
49.7%
(45.6% - 53.9%) |
51.8%
(47.8% - 55.8%) |
48.6%
(44.0% - 53.2%) |
48.6%
(44.1% - 53.2%) |
NA
NA |
59.7%
(55.1% - 64.3%) |
69.6%
(64.3% - 74.4%) |
55.7%
(50.0% - 61.3%) |
33.8%
(28.4% - 39.6%) |
Pantheon/Vayne (DE/MT) | 53.9%
51.1% |
59.8%
(56.2% - 63.3%) |
44.0%
(39.7% - 48.3%) |
52.8%
(48.8% - 56.8%) |
44.4%
(39.8% - 49.2%) |
53.8%
(49.2% - 58.3%) |
40.3%
(35.7% - 44.9%) |
NA
NA |
46.7%
(41.2% - 52.2%) |
46.5%
(40.9% - 52.2%) |
57.7%
(51.6% - 63.6%) |
Akshan/Varus (RU/SH) | 50.0%
47.4% |
37.9%
(34.0% - 41.9%) |
56.8%
(51.7% - 61.8%) |
57.1%
(52.4% - 61.8%) |
45.5%
(40.5% - 50.6%) |
41.6%
(36.6% - 46.8%) |
30.4%
(25.6% - 35.7%) |
53.3%
(47.8% - 58.8%) |
NA
NA |
59.6%
(52.3% - 66.6%) |
41.0%
(34.2% - 48.0%) |
Jax/Vayne (DE/RU) | 53.3%
51.9% |
59.3%
(55.5% - 63.0%) |
54.2%
(49.1% - 59.2%) |
55.1%
(50.0% - 60.2%) |
42.4%
(37.3% - 47.6%) |
55.3%
(49.4% - 61.0%) |
44.3%
(38.7% - 50.0%) |
53.5%
(47.8% - 59.1%) |
40.4%
(33.4% - 47.7%) |
NA
NA |
52.2%
(45.1% - 59.2%) |
Seraphine/Viktor (PZ/SI) | 55.3%
52.9% |
58.4%
(54.8% - 62.1%) |
48.6%
(43.9% - 53.3%) |
46.7%
(41.3% - 52.2%) |
58.2%
(52.8% - 63.5%) |
47.6%
(42.1% - 53.1%) |
66.2%
(60.4% - 71.6%) |
42.3%
(36.4% - 48.4%) |
59.0%
(52.0% - 65.8%) |
47.8%
(40.8% - 54.9%) |
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 |