Patch 3.14 - Week 2 - Well, this week could have been akward…
Number of Master Players: 1975
Number of HighDiamond 1 Players: 4924
Number of (Ranked) Master matches analysed 73374 or 146748 games.
Number of (Ranked) ~HighDiamond matches analysed 241063 or 482126 games.
Last Update: 2022-09-14 18:18
Patch 3.14 - Week 2 - by the Numbers1 | ||||
---|---|---|---|---|
Characteristic | Master2 | ~HighDiamond2 | ||
N = 111,2703 | N = 73,3743 | N = 329,2803 | N = 241,0633 | |
Status | ||||
Ranked | 73,374 (66%) | 241,063 (73%) | ||
ThePathOfChampions | 19,091 (17%) | 52,146 (16%) | ||
Other | 16,960 (15%) | 32,823 (10.0%) | ||
Friendly Bo3 | 1,410 (1.3%) | 1,662 (0.5%) | ||
Labs | 435 (0.4%) | 1,586 (0.5%) | ||
Server | ||||
Americas | 41,992 (38%) | 28,228 (38%) | 121,036 (37%) | 88,434 (37%) |
Apac | 35,941 (32%) | 21,898 (30%) | 102,087 (31%) | 73,447 (30%) |
Europe | 33,337 (30%) | 23,248 (32%) | 106,157 (32%) | 79,182 (33%) |
1 Max datetime recovered: 2022-09-14 14:46:36.54817 UTC from 2022-09-07 18:00:00 to 2022-09-14 18:00:00 UTC | ||||
2 EU Master 627/640 NA Master 751/762 APAC Master 597/600 | ||||
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 | 751 (11%) | 597 (8.7%) | 627 (9.1%) | 1,975 (29%) |
Diamond | 1,843 (27%) | 1,457 (21%) | 1,624 (24%) | 4,924 (71%) |
Total | 2,594 (38%) | 2,054 (30%) | 2,251 (33%) | 6,899 (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 | ||||
ShadowIsles | 18.45% | 18.26% | 19.57% | 17.64% |
Bilgewater | 12.68% | 13.16% | 11.14% | 13.55% |
Noxus | 11.24% | 10.97% | 10.64% | 12.14% |
Shurima | 10.17% | 11.05% | 10.17% | 9.08% |
Ionia | 10.09% | 9.50% | 10.50% | 10.43% |
Piltover | 9.51% | 8.63% | 10.50% | 9.66% |
BandleCity | 8.24% | 8.50% | 8.47% | 7.69% |
Freljord | 5.68% | 5.03% | 6.02% | 6.15% |
Demacia | 4.88% | 5.63% | 4.91% | 3.95% |
MtTargon | 4.37% | 4.96% | 3.67% | 4.31% |
Runeterra | ||||
Evelynn | 1.79% | 1.45% | 1.34% | 2.61% |
Jax | 1.04% | 1.05% | 1.20% | 0.88% |
Kayn | 0.95% | 0.96% | 1.09% | 0.80% |
Bard | 0.53% | 0.48% | 0.28% | 0.83% |
Jhin | 0.37% | 0.37% | 0.49% | 0.27% |
total | 4.68% | 4.31% | 4.40% | 5.39% |
Patch 3.14 - Week 2 Ranked games from 2022-09-07 18:00:00 UTC to 2022-09-14 18:00:00 UTC Source: Metadata of games collected with RiotGames API Last Update: 2022-09-14 15:58:58.715707 |
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 | ||||
ShadowIsles | 20.30% | 20.02% | 21.79% | 19.22% |
Bilgewater | 13.29% | 13.86% | 11.46% | 14.33% |
Ionia | 12.74% | 12.07% | 12.95% | 13.35% |
Noxus | 9.74% | 9.38% | 9.31% | 10.60% |
Shurima | 8.95% | 9.69% | 9.13% | 7.90% |
BandleCity | 8.65% | 8.98% | 8.74% | 8.15% |
Piltover | 7.37% | 6.78% | 7.84% | 7.64% |
Freljord | 5.80% | 5.07% | 6.35% | 6.17% |
Demacia | 5.03% | 5.77% | 5.06% | 4.11% |
MtTargon | 4.15% | 4.67% | 3.42% | 4.19% |
Runeterra | 3.99% | 3.73% | 3.96% | 4.33% |
Patch 3.14 - Week 2 Ranked games from 2022-09-07 18:00:00 UTC to 2022-09-14 18:00:00 UTC Source: Metadata of games collected with RiotGames API Last Update: 2022-09-14 15:58:58.715707 |
Source: Metadata of games collected with RiotGames API. Last Update: 2022-09-14 16:19:56.37401 FALSE
Source: Metadata of games collected with RiotGames API. Last Update: 2022-09-14 16:19:56.779948 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) | Pirates (BW/NX) | Heimerdinger/Norra (BC/SI) | Gwen/Katarina (NX/SI) | Ezreal/Kennen (IO/PZ) | Kindred/Nasus (SI/SH) | Trundle Timelines (FR/PZ) | Nami/Twisted Fate (BW/IO) | Evelynn/Viego (RU/SI) | Miss Fortune/Quinn (BW/DE) | Akshan/Lee Sin (IO/SH) | |
---|---|---|---|---|---|---|---|---|---|---|---|
Pirates (BW/NX) | 54.1%
51.9% |
NA
NA |
42.3%
(39.5% - 45.1%) |
52.4%
(49.3% - 55.5%) |
57.5%
(54.1% - 60.9%) |
61.7%
(58.2% - 65.1%) |
56.0%
(51.9% - 60.1%) |
40.7%
(36.6% - 44.8%) |
44.4%
(40.3% - 48.6%) |
47.8%
(43.1% - 52.5%) |
56.0%
(51.2% - 60.6%) |
Heimerdinger/Norra (BC/SI) | 51.4%
50.2% |
57.7%
(54.9% - 60.5%) |
NA
NA |
49.2%
(45.5% - 53.0%) |
56.3%
(52.0% - 60.7%) |
52.8%
(48.5% - 57.0%) |
33.8%
(29.5% - 38.4%) |
42.9%
(38.0% - 47.8%) |
54.8%
(49.7% - 59.8%) |
51.1%
(45.8% - 56.4%) |
54.5%
(48.7% - 60.3%) |
Gwen/Katarina (NX/SI) | 52.0%
48.9% |
47.6%
(44.5% - 50.7%) |
50.8%
(47.0% - 54.5%) |
NA
NA |
45.0%
(40.8% - 49.2%) |
49.9%
(45.3% - 54.5%) |
50.5%
(45.3% - 55.7%) |
45.3%
(40.0% - 50.6%) |
40.2%
(34.8% - 45.7%) |
40.7%
(35.2% - 46.3%) |
48.3%
(41.7% - 54.9%) |
Ezreal/Kennen (IO/PZ) | 53.7%
51.7% |
42.5%
(39.1% - 45.9%) |
43.7%
(39.3% - 48.0%) |
55.0%
(50.8% - 59.2%) |
NA
NA |
62.3%
(57.0% - 67.3%) |
62.1%
(56.3% - 67.7%) |
52.4%
(47.1% - 57.7%) |
58.3%
(51.8% - 64.6%) |
42.2%
(36.0% - 48.6%) |
74.3%
(67.7% - 80.1%) |
Kindred/Nasus (SI/SH) | 50.5%
47.4% |
38.3%
(34.9% - 41.8%) |
47.2%
(43.0% - 51.5%) |
50.1%
(45.5% - 54.7%) |
37.7%
(32.7% - 43.0%) |
NA
NA |
55.9%
(50.0% - 61.7%) |
51.7%
(45.1% - 58.3%) |
45.1%
(38.7% - 51.7%) |
44.2%
(37.4% - 51.1%) |
46.9%
(40.0% - 53.9%) |
Trundle Timelines (FR/PZ) | 50.2%
48.4% |
44.0%
(39.9% - 48.1%) |
66.2%
(61.6% - 70.5%) |
49.5%
(44.3% - 54.7%) |
37.9%
(32.3% - 43.7%) |
44.1%
(38.3% - 50.0%) |
NA
NA |
36.7%
(30.1% - 43.7%) |
52.7%
(45.6% - 59.8%) |
51.4%
(43.8% - 59.0%) |
33.3%
(25.4% - 42.1%) |
Nami/Twisted Fate (BW/IO) | 54.8%
52.9% |
59.3%
(55.2% - 63.4%) |
57.1%
(52.2% - 62.0%) |
54.7%
(49.4% - 60.0%) |
47.6%
(42.3% - 52.9%) |
48.3%
(41.7% - 54.9%) |
63.3%
(56.3% - 69.9%) |
NA
NA |
57.8%
(49.9% - 65.4%) |
37.0%
(29.6% - 45.0%) |
52.0%
(43.7% - 60.1%) |
Evelynn/Viego (RU/SI) | 52.4%
51.1% |
55.6%
(51.4% - 59.7%) |
45.2%
(40.2% - 50.3%) |
59.8%
(54.3% - 65.2%) |
41.7%
(35.4% - 48.2%) |
54.9%
(48.3% - 61.3%) |
47.3%
(40.2% - 54.4%) |
42.2%
(34.6% - 50.1%) |
NA
NA |
62.6%
(53.4% - 71.2%) |
52.4%
(44.5% - 60.3%) |
Miss Fortune/Quinn (BW/DE) | 54.5%
53.2% |
52.2%
(47.5% - 56.9%) |
48.9%
(43.6% - 54.2%) |
59.3%
(53.7% - 64.8%) |
57.8%
(51.4% - 64.0%) |
55.8%
(48.9% - 62.6%) |
48.6%
(41.0% - 56.2%) |
63.0%
(55.0% - 70.4%) |
37.4%
(28.8% - 46.6%) |
NA
NA |
52.1%
(42.7% - 61.5%) |
Akshan/Lee Sin (IO/SH) | 51.6%
48.6% |
44.0%
(39.4% - 48.8%) |
45.5%
(39.7% - 51.3%) |
51.7%
(45.1% - 58.3%) |
25.7%
(19.9% - 32.3%) |
53.1%
(46.1% - 60.0%) |
66.7%
(57.9% - 74.6%) |
48.0%
(39.9% - 56.3%) |
47.6%
(39.7% - 55.5%) |
47.9%
(38.5% - 57.3%) |
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 |