Patch 3.21 - Week 2 - Santa Kayle bringing cinder to all childrens. Well, turning sinner (all) children to cinder.
Number of Master Players: 2402
Number of HighDiamond 1 Players: 5356
Number of (Ranked) Master matches analysed 84438 or 168876 games.
Number of (Ranked) ~HighDiamond matches analysed 261293 or 522586 games.
Last Update: 2022-12-21 18:58
Patch 3.21 - Week 2 - by the Numbers1 | ||||
Characteristic | Master2 | ~HighDiamond2 | ||
---|---|---|---|---|
N = 142,6543 | N = 84,4383 | N = 353,3703 | N = 261,2933 | |
Status | ||||
Ranked | 84,438 (59%) | 261,293 (74%) | ||
ThePathOfChampions | 28,526 (20%) | 54,135 (15%) | ||
Other | 26,153 (18%) | 33,935 (9.6%) | ||
Friendly Bo3 | 2,429 (1.7%) | 2,033 (0.6%) | ||
Labs | 1,108 (0.8%) | 1,974 (0.6%) | ||
Server | ||||
Americas | 58,507 (41%) | 33,934 (40%) | 138,962 (39%) | 102,035 (39%) |
Apac | 44,913 (31%) | 23,555 (28%) | 101,885 (29%) | 71,194 (27%) |
Europe | 39,234 (28%) | 26,949 (32%) | 112,523 (32%) | 88,064 (34%) |
1 Max datetime recovered: 2022-12-21 17:15:27.219032 UTC from 2022-12-14 18:00:00 to 2022-12-21 18:00:00 UTC | ||||
2 EU Master 737/738 NA Master 984/990 APAC Master 681/681 | ||||
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 | 984 (13%) | 681 (8.8%) | 737 (9.5%) | 2,402 (31%) |
Diamond | 2,021 (26%) | 1,487 (19%) | 1,848 (24%) | 5,356 (69%) |
Total | 3,005 (39%) | 2,168 (28%) | 2,585 (33%) | 7,758 (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 | 11.99% | 11.51% | 11.88% | 12.70% |
Demacia | 11.94% | 11.48% | 12.05% | 12.42% |
ShadowIsles | 11.28% | 11.51% | 11.55% | 10.74% |
Noxus | 10.72% | 11.10% | 9.81% | 11.04% |
BandleCity | 7.39% | 6.87% | 7.80% | 7.67% |
Ionia | 5.96% | 5.80% | 6.86% | 5.38% |
Shurima | 5.57% | 5.04% | 6.59% | 5.34% |
Freljord | 5.42% | 5.35% | 6.40% | 4.66% |
Bilgewater | 4.76% | 4.86% | 4.41% | 4.94% |
MtTargon | 4.09% | 4.66% | 3.82% | 3.59% |
Runeterra | ||||
Aatrox | 13.02% | 13.34% | 12.30% | 13.25% |
Kayn | 3.74% | 4.17% | 2.98% | 3.86% |
Ryze | 1.91% | 1.93% | 1.36% | 2.37% |
Jhin | 1.00% | 1.08% | 0.91% | 0.98% |
Varus | 0.75% | 0.88% | 0.84% | 0.51% |
Bard | 0.25% | 0.18% | 0.27% | 0.30% |
Evelynn | 0.12% | 0.14% | 0.12% | 0.10% |
Jax | 0.10% | 0.10% | 0.04% | 0.15% |
total | 20.89% | 21.82% | 18.82% | 21.52% |
Patch 3.21 - Week 2 Ranked games from 2022-12-14 18:00:00 UTC to 2022-12-21 18:00:00 UTC Source: Metadata of games collected with RiotGames API Last Update: 2022-12-21 17:57:48.781275 |
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 | ||||
Runeterra | 17.03% | 18.09% | 14.94% | 17.53% |
Demacia | 13.96% | 13.34% | 13.87% | 14.80% |
Piltover | 13.30% | 12.58% | 13.27% | 14.24% |
ShadowIsles | 12.22% | 12.74% | 12.33% | 11.46% |
Noxus | 9.81% | 10.12% | 8.85% | 10.25% |
Shurima | 7.22% | 6.04% | 9.02% | 7.13% |
BandleCity | 6.57% | 6.24% | 6.78% | 6.79% |
Ionia | 5.72% | 5.84% | 6.34% | 5.03% |
Freljord | 5.32% | 5.52% | 6.28% | 4.22% |
Bilgewater | 4.93% | 5.00% | 4.60% | 5.13% |
MtTargon | 3.93% | 4.50% | 3.72% | 3.42% |
Patch 3.21 - Week 2 Ranked games from 2022-12-14 18:00:00 UTC to 2022-12-21 18:00:00 UTC Source: Metadata of games collected with RiotGames API Last Update: 2022-12-21 17:57:48.781275 |
Source: Metadata of games collected with RiotGames API. Last Update: 2022-12-21 17:59:16.907643 FALSE
Source: Metadata of games collected with RiotGames API. Last Update: 2022-12-21 17:59:17.371597 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) | Aatrox/Vayne (DE/RU) | Ezreal/Seraphine (BC/PZ) | Aatrox/Kayn (RU) | Gwen/Katarina (NX/SI) | Draven/Jinx (NX/PZ) | Hecarim/Zed (IO/SI) | SunDisc | Pyke/Rek'Sai (BW/SH) | Rumble/Vayne (DE/NX) | Annie/Jhin (NX/RU) | |
---|---|---|---|---|---|---|---|---|---|---|---|
Aatrox/Vayne (DE/RU) | 57.4%
55.2% |
NA
NA |
60.9%
(58.7% - 63.1%) |
57.6%
(55.2% - 59.9%) |
50.6%
(48.2% - 53.0%) |
54.3%
(50.8% - 57.8%) |
60.8%
(56.8% - 64.6%) |
64.5%
(60.3% - 68.6%) |
50.0%
(45.4% - 54.6%) |
41.4%
(37.0% - 46.0%) |
68.5%
(64.0% - 72.7%) |
Ezreal/Seraphine (BC/PZ) | 54.0%
49.7% |
39.1%
(36.9% - 41.3%) |
NA
NA |
43.4%
(40.5% - 46.5%) |
57.8%
(54.7% - 60.9%) |
64.3%
(59.7% - 68.8%) |
54.9%
(49.3% - 60.4%) |
46.2%
(40.6% - 51.7%) |
57.1%
(51.3% - 62.7%) |
54.3%
(48.3% - 60.3%) |
53.8%
(47.4% - 60.0%) |
Aatrox/Kayn (RU) | 52.7%
49.7% |
42.4%
(40.1% - 44.8%) |
56.6%
(53.5% - 59.5%) |
NA
NA |
52.5%
(49.1% - 56.0%) |
49.5%
(44.7% - 54.4%) |
46.0%
(39.7% - 52.4%) |
56.5%
(50.1% - 62.8%) |
40.9%
(34.8% - 47.3%) |
48.9%
(41.5% - 56.3%) |
49.2%
(42.9% - 55.5%) |
Gwen/Katarina (NX/SI) | 54.4%
50.8% |
49.4%
(47.0% - 51.8%) |
42.2%
(39.1% - 45.3%) |
47.5%
(44.0% - 50.9%) |
NA
NA |
45.3%
(40.1% - 50.5%) |
59.4%
(53.5% - 65.1%) |
60.9%
(54.8% - 66.7%) |
55.6%
(49.3% - 61.7%) |
55.1%
(48.5% - 61.6%) |
56.0%
(48.8% - 63.0%) |
Draven/Jinx (NX/PZ) | 54.0%
50.6% |
45.7%
(42.2% - 49.2%) |
35.7%
(31.2% - 40.3%) |
50.5%
(45.6% - 55.3%) |
54.7%
(49.5% - 59.9%) |
NA
NA |
67.0%
(57.4% - 75.6%) |
65.2%
(55.6% - 73.9%) |
59.4%
(50.3% - 68.0%) |
56.2%
(44.7% - 67.3%) |
60.0%
(50.2% - 69.2%) |
Hecarim/Zed (IO/SI) | 48.9%
45.7% |
39.2%
(35.4% - 43.2%) |
45.1%
(39.6% - 50.7%) |
54.0%
(47.6% - 60.3%) |
40.6%
(34.9% - 46.5%) |
33.0%
(24.4% - 42.6%) |
NA
NA |
69.1%
(59.6% - 77.6%) |
49.4%
(38.1% - 60.7%) |
50.0%
(38.7% - 61.3%) |
33.3%
(23.2% - 44.7%) |
SunDisc | 45.2%
40.9% |
35.5%
(31.4% - 39.7%) |
53.8%
(48.3% - 59.4%) |
43.5%
(37.2% - 49.9%) |
39.1%
(33.3% - 45.2%) |
34.8%
(26.1% - 44.4%) |
30.9%
(22.4% - 40.4%) |
NA
NA |
40.0%
(30.1% - 50.6%) |
25.3%
(16.0% - 36.7%) |
22.2%
(13.3% - 33.6%) |
Pyke/Rek'Sai (BW/SH) | 51.7%
50.1% |
50.0%
(45.4% - 54.6%) |
42.9%
(37.3% - 48.7%) |
59.1%
(52.7% - 65.2%) |
44.4%
(38.3% - 50.7%) |
40.6%
(32.0% - 49.7%) |
50.6%
(39.3% - 61.9%) |
60.0%
(49.4% - 69.9%) |
NA
NA |
49.2%
(35.9% - 62.5%) |
57.1%
(44.0% - 69.5%) |
Rumble/Vayne (DE/NX) | 54.3%
53.3% |
58.6%
(54.0% - 63.0%) |
45.7%
(39.7% - 51.7%) |
51.1%
(43.7% - 58.5%) |
44.9%
(38.4% - 51.5%) |
43.8%
(32.7% - 55.3%) |
50.0%
(38.7% - 61.3%) |
74.7%
(63.3% - 84.0%) |
50.8%
(37.5% - 64.1%) |
NA
NA |
39.0%
(24.2% - 55.5%) |
Annie/Jhin (NX/RU) | 50.0%
46.0% |
31.5%
(27.3% - 36.0%) |
46.2%
(40.0% - 52.6%) |
50.8%
(44.5% - 57.1%) |
44.0%
(37.0% - 51.2%) |
40.0%
(30.8% - 49.8%) |
66.7%
(55.3% - 76.8%) |
77.8%
(66.4% - 86.7%) |
42.9%
(30.5% - 56.0%) |
61.0%
(44.5% - 75.8%) |
NA
NA |
MatchUp values from Ranked games of Master rank players. Order of the Archetypess based on the playrate. Source: Metadata of games collected with RiotGames API |