Patch 3.18 - Week 1 - The M.SNAP meta-report is h… wait… too soon? Hashtag Deadgame
Number of Master Players: 3666
Number of HighDiamond 1 Players: 8181
Number of (Ranked) Master matches analysed 87682 or 175364 games.
Number of (Ranked) ~HighDiamond matches analysed 264421 or 528842 games.
Last Update: 2022-11-02 18:36
Patch 3.18 - Week 1 - by the Numbers1 | ||||
Characteristic | Master2 | ~HighDiamond2 | ||
---|---|---|---|---|
N = 167,4683 | N = 87,6823 | N = 395,2513 | N = 264,4213 | |
Status | ||||
Ranked | 87,682 (52%) | 264,421 (67%) | ||
ThePathOfChampions | 45,923 (27%) | 84,092 (21%) | ||
Other | 29,974 (18%) | 42,821 (11%) | ||
Friendly Bo3 | 2,271 (1.4%) | 1,503 (0.4%) | ||
Labs | 1,618 (1.0%) | 2,414 (0.6%) | ||
Server | ||||
Americas | 66,856 (40%) | 34,195 (39%) | 151,768 (38%) | 101,331 (38%) |
Apac | 50,582 (30%) | 24,173 (28%) | 115,172 (29%) | 72,801 (28%) |
Europe | 50,030 (30%) | 29,314 (33%) | 128,311 (32%) | 90,289 (34%) |
1 Max datetime recovered: 2022-11-02 16:08:13.780222 UTC from 2022-10-26 18:00:00 to 2022-11-02 18:00:00 UTC | ||||
2 EU Master 1212/1221 NA Master 1467/1483 APAC Master 987/992 | ||||
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 | 1,467 (12%) | 987 (8.3%) | 1,212 (10%) | 3,666 (31%) |
Diamond | 3,116 (26%) | 2,319 (20%) | 2,746 (23%) | 8,181 (69%) |
Total | 4,583 (39%) | 3,306 (28%) | 3,958 (33%) | 11,847 (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 | ||||
Piltover | 18.62% | 17.51% | 20.32% | 18.51% |
Noxus | 16.38% | 15.61% | 17.72% | 16.16% |
Demacia | 12.07% | 12.19% | 12.63% | 11.48% |
ShadowIsles | 11.26% | 11.57% | 11.58% | 10.62% |
Ionia | 9.60% | 8.50% | 7.64% | 12.51% |
Bilgewater | 6.73% | 7.22% | 5.99% | 6.76% |
MtTargon | 6.48% | 6.98% | 6.80% | 5.61% |
Shurima | 5.14% | 6.01% | 4.62% | 4.56% |
Freljord | 3.35% | 3.54% | 3.49% | 3.01% |
BandleCity | 3.32% | 3.13% | 3.19% | 3.66% |
Runeterra | ||||
Jhin | 2.20% | 2.64% | 1.50% | 2.25% |
Varus | 2.08% | 1.97% | 1.87% | 2.38% |
Jax | 1.62% | 1.77% | 1.78% | 1.31% |
Kayn | 0.86% | 1.08% | 0.64% | 0.79% |
Bard | 0.18% | 0.17% | 0.13% | 0.24% |
Evelynn | 0.12% | 0.10% | 0.10% | 0.15% |
total | 7.06% | 7.74% | 6.01% | 7.11% |
Patch 3.18 - Week 1 Ranked games from 2022-10-26 18:00:00 UTC to 2022-11-02 18:00:00 UTC Source: Metadata of games collected with RiotGames API Last Update: 2022-11-02 17:19:38.367341 |
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 | 22.33% | 21.05% | 24.87% | 21.72% |
Noxus | 13.89% | 12.69% | 15.24% | 14.17% |
Demacia | 11.67% | 11.74% | 12.14% | 11.19% |
ShadowIsles | 10.33% | 10.67% | 10.53% | 9.76% |
Ionia | 8.75% | 7.84% | 7.07% | 11.20% |
Runeterra | 7.62% | 8.45% | 6.31% | 7.73% |
MtTargon | 6.72% | 7.26% | 6.55% | 6.23% |
Bilgewater | 6.57% | 6.99% | 5.86% | 6.66% |
Shurima | 5.55% | 6.52% | 4.98% | 4.89% |
Freljord | 3.48% | 3.77% | 3.73% | 2.93% |
BandleCity | 3.10% | 3.01% | 2.72% | 3.53% |
Patch 3.18 - Week 1 Ranked games from 2022-10-26 18:00:00 UTC to 2022-11-02 18:00:00 UTC Source: Metadata of games collected with RiotGames API Last Update: 2022-11-02 17:19:38.367341 |
Source: Metadata of games collected with RiotGames API. Last Update: 2022-11-02 17:38:36.21943 FALSE
Source: Metadata of games collected with RiotGames API. Last Update: 2022-11-02 17:38:36.899451 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) | Seraphine/Viktor (IO/PZ) | Miss Fortune/Swain (BW/NX) | Annie/Jhin (NX/RU) | Rumble/Vayne (DE/NX) | Vayne/Zed (DE/IO) | Hecarim/Zed (IO/SI) | Jax/Vayne (DE/RU) | Aphelios/Seraphine (MT/PZ) | Seraphine/Viktor (PZ/SI) | |
---|---|---|---|---|---|---|---|---|---|---|---|
Ezreal/Seraphine (NX/PZ) | 53.1%
49.7% |
NA
NA |
42.8%
(39.9% - 45.6%) |
50.7%
(47.4% - 54.1%) |
51.4%
(47.8% - 55.0%) |
61.9%
(58.4% - 65.4%) |
54.7%
(50.9% - 58.5%) |
52.3%
(48.5% - 56.1%) |
39.6%
(35.4% - 43.9%) |
43.9%
(39.8% - 48.1%) |
49.5%
(44.7% - 54.4%) |
Seraphine/Viktor (IO/PZ) | 54.2%
50.4% |
57.2%
(54.4% - 60.1%) |
NA
NA |
49.0%
(45.2% - 52.9%) |
48.1%
(43.8% - 52.5%) |
43.7%
(39.2% - 48.3%) |
42.4%
(38.1% - 46.7%) |
55.7%
(50.8% - 60.6%) |
39.7%
(34.3% - 45.4%) |
59.4%
(52.7% - 65.8%) |
63.0%
(57.3% - 68.4%) |
Miss Fortune/Swain (BW/NX) | 54.8%
52.2% |
49.3%
(45.9% - 52.6%) |
51.0%
(47.1% - 54.8%) |
NA
NA |
61.1%
(55.5% - 66.5%) |
54.0%
(48.0% - 59.8%) |
54.7%
(49.0% - 60.3%) |
62.2%
(56.5% - 67.7%) |
44.6%
(38.1% - 51.2%) |
51.6%
(44.2% - 58.9%) |
47.9%
(40.7% - 55.2%) |
Annie/Jhin (NX/RU) | 50.4%
48.7% |
48.6%
(45.0% - 52.2%) |
51.9%
(47.5% - 56.2%) |
38.9%
(33.5% - 44.5%) |
NA
NA |
46.4%
(40.4% - 52.5%) |
50.7%
(44.8% - 56.5%) |
65.5%
(59.1% - 71.6%) |
45.8%
(38.8% - 52.9%) |
51.9%
(43.8% - 59.9%) |
30.3%
(23.7% - 37.4%) |
Rumble/Vayne (DE/NX) | 54.6%
51.6% |
38.1%
(34.6% - 41.6%) |
56.3%
(51.7% - 60.8%) |
46.0%
(40.2% - 52.0%) |
53.6%
(47.5% - 59.6%) |
NA
NA |
41.9%
(35.5% - 48.5%) |
54.0%
(47.8% - 60.1%) |
44.7%
(37.7% - 51.7%) |
70.4%
(63.5% - 76.6%) |
50.4%
(41.8% - 58.9%) |
Vayne/Zed (DE/IO) | 55.2%
53.2% |
45.3%
(41.5% - 49.1%) |
57.6%
(53.3% - 61.9%) |
45.3%
(39.7% - 51.0%) |
49.3%
(43.5% - 55.2%) |
58.1%
(51.5% - 64.5%) |
NA
NA |
61.4%
(54.6% - 67.8%) |
53.7%
(46.3% - 60.9%) |
62.4%
(53.9% - 70.4%) |
49.7%
(41.7% - 57.7%) |
Hecarim/Zed (IO/SI) | 47.0%
44.6% |
47.7%
(43.9% - 51.5%) |
44.3%
(39.4% - 49.2%) |
37.8%
(32.3% - 43.5%) |
34.5%
(28.4% - 40.9%) |
46.0%
(39.9% - 52.2%) |
38.6%
(32.2% - 45.4%) |
NA
NA |
41.7%
(34.1% - 49.5%) |
52.3%
(44.1% - 60.4%) |
46.5%
(38.5% - 54.6%) |
Jax/Vayne (DE/RU) | 55.4%
53.9% |
60.4%
(56.1% - 64.6%) |
60.3%
(54.6% - 65.7%) |
55.4%
(48.8% - 61.9%) |
54.2%
(47.1% - 61.2%) |
55.3%
(48.3% - 62.3%) |
46.3%
(39.1% - 53.7%) |
58.3%
(50.5% - 65.9%) |
NA
NA |
55.9%
(47.6% - 64.0%) |
54.5%
(46.0% - 62.9%) |
Aphelios/Seraphine (MT/PZ) | 51.3%
47.3% |
56.1%
(51.9% - 60.2%) |
40.6%
(34.2% - 47.3%) |
48.4%
(41.1% - 55.8%) |
48.1%
(40.1% - 56.2%) |
29.6%
(23.4% - 36.5%) |
37.6%
(29.6% - 46.1%) |
47.7%
(39.6% - 55.9%) |
44.1%
(36.0% - 52.4%) |
NA
NA |
50.5%
(40.3% - 60.7%) |
Seraphine/Viktor (PZ/SI) | 54.6%
50.0% |
50.5%
(45.6% - 55.3%) |
37.0%
(31.6% - 42.7%) |
52.1%
(44.8% - 59.3%) |
69.7%
(62.6% - 76.3%) |
49.6%
(41.1% - 58.2%) |
50.3%
(42.3% - 58.3%) |
53.5%
(45.4% - 61.5%) |
45.5%
(37.1% - 54.0%) |
49.5%
(39.3% - 59.7%) |
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 |