THE META REPORT NAME IS TOO LONG, TOO DAMN LONG (n°88)

Patch 3.21 - Week 1 - World was hot but so was the meta -fixed

Valentino (Legna) Vazzoler
2022-12-14

Data

Number of Master Players: 729

Number of HighDiamond 1 Players: 2702

Number of (Ranked) Master matches analysed 30486 or 60972 games.

Number of (Ranked) ~HighDiamond matches analysed 148380 or 296760 games.

Last Update: 2022-12-14 19:02

Games

Patch 3.21 - Week 1 - by the Numbers1
Characteristic Master2 ~HighDiamond2
N = 39,6833 N = 30,4863 N = 183,6633 N = 148,3803
Status
    Ranked 30,486 (77%) 148,380 (81%)
    ThePathOfChampions 4,722 (12%) 21,321 (12%)
    Other 3,950 (10.0%) 12,488 (6.8%)
    Friendly Bo3 350 (0.9%) 789 (0.4%)
    Labs 175 (0.4%) 685 (0.4%)
Server
    Americas 15,350 (39%) 11,928 (39%) 75,114 (41%) 60,485 (41%)
    Apac 12,947 (33%) 8,972 (29%) 53,711 (29%) 41,568 (28%)
    Europe 11,386 (29%) 9,586 (31%) 54,838 (30%) 46,327 (31%)
1 Max datetime recovered: 2022-12-14 17:09:39.474898 UTC from 2022-12-07 19:00:00 to 2022-12-14 18:00:00 UTC
2 EU Master 220/220 NA Master 302/304 APAC Master 207/208
3 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 302 (8.8%) 207 (6.0%) 220 (6.4%) 729 (21%)
    Diamond 1,058 (31%) 745 (22%) 899 (26%) 2,702 (79%)
Total 1,360 (40%) 952 (28%) 1,119 (33%) 3,431 (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
BandleCity 13.81% 12.84% 12.84% 15.91%
Shurima 13.71% 13.18% 13.26% 14.78%
Piltover 12.95% 12.33% 14.47% 12.29%
Demacia 11.32% 11.21% 10.79% 11.96%
Noxus 7.37% 7.84% 7.68% 6.50%
ShadowIsles 5.98% 5.53% 6.95% 5.64%
Ionia 3.59% 3.44% 4.04% 3.34%
Bilgewater 3.55% 3.85% 4.26% 2.51%
MtTargon 3.53% 4.57% 2.96% 2.77%
Freljord 3.49% 3.88% 3.58% 2.92%
Runeterra
Aatrox 10.03% 9.72% 9.38% 11.02%
Kayn 6.54% 6.35% 6.34% 6.98%
Varus 1.50% 2.39% 0.91% 0.94%
Ryze 1.34% 1.49% 1.10% 1.38%
Jhin 0.96% 1.01% 1.08% 0.79%
Bard 0.23% 0.22% 0.25% 0.23%
Evelynn 0.08% 0.13% 0.06% 0.03%
Jax 0.03% 0.02% 0.06% 0.02%
total 20.71% 21.33% 19.17% 21.38%
Patch 3.21 - Week 1 Ranked games from 2022-12-07 19:00:00 UTC to 2022-12-14 18:00:00 UTC Source: Metadata of games collected with RiotGames API Last Update: 2022-12-14 17:36:20.731911

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
Runeterra 19.02% 19.65% 17.73% 19.43%
Shurima 17.48% 16.52% 17.21% 18.93%
Piltover 16.03% 14.95% 18.04% 15.48%
BandleCity 11.06% 10.46% 10.22% 12.61%
Demacia 9.33% 9.05% 8.46% 10.49%
ShadowIsles 6.72% 6.34% 7.70% 6.28%
Noxus 6.47% 7.00% 6.53% 5.76%
MtTargon 3.72% 5.11% 2.81% 2.84%
Bilgewater 3.66% 4.04% 4.44% 2.46%
Freljord 3.45% 3.74% 3.58% 2.96%
Ionia 3.06% 3.15% 3.27% 2.75%
Patch 3.21 - Week 1 Ranked games from 2022-12-07 19:00:00 UTC to 2022-12-14 18:00:00 UTC Source: Metadata of games collected with RiotGames API Last Update: 2022-12-14 17:36:20.731911

Champions Combinations

Play Rates

Plot

from Master

Source: Metadata of games collected with RiotGames API. Last Update: 2022-12-14 18:03:36.34348 FALSE

from Diamond

Source: Metadata of games collected with RiotGames API. Last Update: 2022-12-14 18:03:36.84922 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.

WR (WRmeta) Ziggs (BC/SH) Aatrox/Kayn (RU) Ezreal/Seraphine (BC/PZ) Gwen/Katarina (NX/SI) Draven/Jinx (NX/PZ) Aatrox/Vayne (DE/RU) Jinx (DE/PZ) Jinx/Teemo (DE/PZ) Taliyah/Ziggs (BC/SH) Akshan/Varus (RU/SH)
Ziggs (BC/SH)
54.1%
50.2%
NA
NA
42.6%
(39.6% - 45.5%)
60.5%
(55.3% - 65.4%)
57.1%
(51.2% - 62.8%)
38.1%
(32.7% - 43.7%)
46.8%
(40.1% - 53.6%)
66.9%
(62.0% - 71.6%)
56.7%
(50.0% - 63.1%)
47.9%
(42.1% - 53.8%)
43.9%
(36.6% - 51.3%)
Aatrox/Kayn (RU)
53.5%
51.5%
57.4%
(54.5% - 60.4%)
NA
NA
55.4%
(50.4% - 60.3%)
58.8%
(53.4% - 64.1%)
46.1%
(40.5% - 51.7%)
44.3%
(38.5% - 50.2%)
39.7%
(33.6% - 46.0%)
31.3%
(25.0% - 38.2%)
49.8%
(42.8% - 56.7%)
53.1%
(45.8% - 60.3%)
Ezreal/Seraphine (BC/PZ)
54.2%
49.5%
39.5%
(34.6% - 44.7%)
44.6%
(39.7% - 49.6%)
NA
NA
51.9%
(43.9% - 59.8%)
61.7%
(53.4% - 69.6%)
34.1%
(25.9% - 43.1%)
73.8%
(63.1% - 82.8%)
82.6%
(71.6% - 90.7%)
36.7%
(23.4% - 51.7%)
61.7%
(48.2% - 73.9%)
Gwen/Katarina (NX/SI)
49.9%
45.6%
42.9%
(37.2% - 48.8%)
41.2%
(35.9% - 46.6%)
48.1%
(40.2% - 56.1%)
NA
NA
38.1%
(29.1% - 47.7%)
48.8%
(39.9% - 57.8%)
39.8%
(29.5% - 50.8%)
42.9%
(28.8% - 57.8%)
46.0%
(31.8% - 60.7%)
48.3%
(35.2% - 61.6%)
Draven/Jinx (NX/PZ)
57.4%
55.7%
61.9%
(56.3% - 67.3%)
53.9%
(48.3% - 59.5%)
38.3%
(30.4% - 46.6%)
61.9%
(52.3% - 70.9%)
NA
NA
43.2%
(32.2% - 54.7%)
51.4%
(39.2% - 63.6%)
64.6%
(53.3% - 74.9%)
42.2%
(27.7% - 57.8%)
62.7%
(48.1% - 75.9%)
Aatrox/Vayne (DE/RU)
57.3%
54.5%
53.2%
(46.4% - 59.9%)
55.7%
(49.8% - 61.5%)
65.9%
(56.9% - 74.1%)
51.2%
(42.2% - 60.1%)
56.8%
(45.3% - 67.8%)
NA
NA
59.7%
(46.4% - 71.9%)
29.4%
(17.5% - 43.8%)
65.0%
(48.3% - 79.4%)
51.4%
(34.0% - 68.6%)
Jinx (DE/PZ)
47.4%
43.6%
33.1%
(28.4% - 38.0%)
60.3%
(54.0% - 66.4%)
26.2%
(17.2% - 36.9%)
60.2%
(49.2% - 70.5%)
48.6%
(36.4% - 60.8%)
40.3%
(28.1% - 53.6%)
NA
NA
38.9%
(27.6% - 51.1%)
29.2%
(19.0% - 41.1%)
38.3%
(24.5% - 53.6%)
Jinx/Teemo (DE/PZ)
52.8%
51.2%
43.3%
(36.9% - 50.0%)
68.7%
(61.8% - 75.0%)
17.4%
(9.3% - 28.4%)
57.1%
(42.2% - 71.2%)
35.4%
(25.1% - 46.7%)
70.6%
(56.2% - 82.5%)
61.1%
(48.9% - 72.4%)
NA
NA
44.7%
(28.6% - 61.7%)
54.8%
(36.0% - 72.7%)
Taliyah/Ziggs (BC/SH)
55.5%
53.6%
52.1%
(46.2% - 57.9%)
50.2%
(43.3% - 57.2%)
63.3%
(48.3% - 76.6%)
54.0%
(39.3% - 68.2%)
57.8%
(42.2% - 72.3%)
35.0%
(20.6% - 51.7%)
70.8%
(58.9% - 81.0%)
55.3%
(38.3% - 71.4%)
NA
NA
63.2%
(46.0% - 78.2%)
Akshan/Varus (RU/SH)
54.0%
49.8%
56.1%
(48.7% - 63.4%)
46.9%
(39.7% - 54.2%)
38.3%
(26.1% - 51.8%)
51.7%
(38.4% - 64.8%)
37.3%
(24.1% - 51.9%)
48.6%
(31.4% - 66.0%)
61.7%
(46.4% - 75.5%)
45.2%
(27.3% - 64.0%)
36.8%
(21.8% - 54.0%)
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