Patch 3.14 - Week 1 - Wait it’s all midrange? Always has been!
Number of Seasonal Players: 1992
Number of Master Players: 531
Number of (Ranked) Seasonal matches analysed 157489 or 314978 games.
Number of (Ranked) Master matches analysed 22086 or 44172 games.
Last Update: 2022-09-07 18:48
Patch 3.14 - Week 1 - by the Numbers1 | ||||
---|---|---|---|---|
Characteristic | Seasonal2 | Master2 | ||
N = 228,9323 | N = 157,4893 | N = 27,6283 | N = 22,0863 | |
Status | ||||
Ranked | 157,489 (69%) | 22,086 (80%) | ||
ThePathOfChampions | 42,801 (19%) | 2,451 (8.9%) | ||
Other | 26,259 (11%) | 2,802 (10%) | ||
Friendly Bo3 | 1,809 (0.8%) | 227 (0.8%) | ||
Labs | 574 (0.3%) | 62 (0.2%) | ||
Server | ||||
Americas | 89,825 (39%) | 61,242 (39%) | 9,473 (34%) | 7,776 (35%) |
Apac | 53,073 (23%) | 36,286 (23%) | 8,346 (30%) | 6,249 (28%) |
Europe | 86,034 (38%) | 59,961 (38%) | 9,809 (36%) | 8,061 (36%) |
1 Max datetime recovered: 2022-09-07 15:58:24.21623 UTC from 2022-08-31 18:00:00 to 2022-09-07 18:00:00 UTC | ||||
2 EU Master 176/176 NA Master 194/194 APAC Master 161/162 | ||||
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 | 194 (7.6%) | 161 (6.3%) | 176 (6.9%) | 531 (21%) |
Diamond | 765 (30%) | 597 (24%) | 645 (25%) | 2,007 (79%) |
Total | 959 (38%) | 758 (30%) | 821 (32%) | 2,538 (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 | 13.80% | 13.37% | 14.30% | 13.94% |
Shurima | 12.00% | 11.74% | 11.82% | 12.37% |
Piltover | 11.64% | 11.58% | 13.16% | 10.80% |
Noxus | 11.03% | 10.26% | 10.87% | 11.90% |
Bilgewater | 10.29% | 10.77% | 9.22% | 10.44% |
Ionia | 8.83% | 8.53% | 8.54% | 9.30% |
Freljord | 7.99% | 7.53% | 7.72% | 8.62% |
BandleCity | 5.65% | 5.99% | 5.88% | 5.15% |
MtTargon | 4.49% | 4.87% | 3.55% | 4.68% |
Demacia | 3.53% | 3.93% | 3.27% | 3.28% |
Runeterra | ||||
Jax | 4.34% | 4.99% | 5.43% | 3.01% |
Kayn | 3.84% | 4.12% | 3.31% | 3.87% |
Evelynn | 1.69% | 1.46% | 2.04% | 1.70% |
Jhin | 0.45% | 0.44% | 0.50% | 0.43% |
Bard | 0.44% | 0.42% | 0.39% | 0.50% |
total | 10.76% | 11.43% | 11.67% | 9.52% |
Patch 3.14 - Week 1 Ranked games from 2022-08-31 18:00:00 UTC to 2022-09-07 18:00:00 UTC Source: Metadata of games collected with RiotGames API Last Update: 2022-09-07 16:47:02.690058 |
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 | 16.30% | 15.62% | 17.38% | 16.35% |
Ionia | 11.16% | 10.80% | 11.19% | 11.51% |
Bilgewater | 10.98% | 11.47% | 10.04% | 11.06% |
Piltover | 10.31% | 10.11% | 11.50% | 9.80% |
Runeterra | 10.26% | 11.01% | 11.05% | 9.01% |
Shurima | 9.84% | 9.88% | 9.25% | 10.15% |
Noxus | 9.63% | 8.82% | 9.49% | 10.55% |
Freljord | 7.90% | 7.46% | 7.55% | 8.56% |
BandleCity | 6.03% | 6.37% | 6.34% | 5.50% |
MtTargon | 4.31% | 4.77% | 3.20% | 4.49% |
Demacia | 3.27% | 3.69% | 3.00% | 3.02% |
Patch 3.14 - Week 1 Ranked games from 2022-08-31 18:00:00 UTC to 2022-09-07 18:00:00 UTC Source: Metadata of games collected with RiotGames API Last Update: 2022-09-07 16:47:02.690058 |
Source: Metadata of games collected with RiotGames API. Last Update: 2022-09-07 16:49:40.54964 FALSE
Source: Metadata of games collected with RiotGames API. Last Update: 2022-09-07 16:49:41.008907 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) | Trundle Timelines (FR/PZ) | Kindred/Nasus (SI/SH) | Gwen/Katarina (NX/SI) | Jax/Vi (PZ/RU) | Ezreal/Kennen (IO/PZ) | Akshan/Kayn (RU/SH) | Akshan/Lee Sin (IO/SH) | Nami/Twisted Fate (BW/IO) | Evelynn/Viego (RU/SI) | |
---|---|---|---|---|---|---|---|---|---|---|---|
Pirates (BW/NX) | 56.3%
53.4% |
NA
NA |
58.5%
(56.5% - 60.5%) |
62.3%
(60.1% - 64.4%) |
48.1%
(45.9% - 50.2%) |
51.5%
(48.8% - 54.1%) |
57.1%
(54.0% - 60.0%) |
51.2%
(47.6% - 54.7%) |
58.6%
(55.4% - 61.7%) |
44.4%
(40.9% - 47.9%) |
46.0%
(42.6% - 49.4%) |
Trundle Timelines (FR/PZ) | 52.2%
48.5% |
41.5%
(39.5% - 43.5%) |
NA
NA |
46.0%
(43.5% - 48.6%) |
47.8%
(45.3% - 50.3%) |
53.3%
(50.5% - 56.2%) |
35.6%
(32.0% - 39.2%) |
65.6%
(62.2% - 68.9%) |
36.6%
(33.0% - 40.3%) |
41.2%
(37.4% - 45.0%) |
56.4%
(52.4% - 60.5%) |
Kindred/Nasus (SI/SH) | 55.1%
52.5% |
37.7%
(35.6% - 39.9%) |
54.0%
(51.4% - 56.5%) |
NA
NA |
44.8%
(42.0% - 47.7%) |
53.3%
(50.1% - 56.5%) |
35.8%
(32.0% - 39.7%) |
67.3%
(63.2% - 71.2%) |
47.4%
(43.2% - 51.6%) |
53.6%
(49.0% - 58.1%) |
40.7%
(36.4% - 45.0%) |
Gwen/Katarina (NX/SI) | 52.8%
48.9% |
51.9%
(49.8% - 54.1%) |
52.2%
(49.7% - 54.7%) |
55.2%
(52.3% - 58.0%) |
NA
NA |
52.9%
(49.5% - 56.3%) |
46.3%
(42.5% - 50.1%) |
57.3%
(52.6% - 61.9%) |
57.0%
(53.0% - 61.0%) |
44.6%
(40.3% - 48.9%) |
40.6%
(36.5% - 44.8%) |
Jax/Vi (PZ/RU) | 50.6%
47.0% |
48.5%
(45.9% - 51.2%) |
46.7%
(43.8% - 49.5%) |
46.7%
(43.5% - 49.9%) |
47.1%
(43.7% - 50.5%) |
NA
NA |
38.7%
(34.1% - 43.4%) |
46.8%
(42.2% - 51.3%) |
42.3%
(36.7% - 48.1%) |
37.4%
(32.4% - 42.6%) |
42.5%
(37.3% - 47.7%) |
Ezreal/Kennen (IO/PZ) | 58.0%
56.8% |
42.9%
(40.0% - 46.0%) |
64.4%
(60.8% - 68.0%) |
64.2%
(60.3% - 68.0%) |
53.7%
(49.9% - 57.5%) |
61.3%
(56.6% - 65.9%) |
NA
NA |
70.1%
(63.6% - 76.0%) |
73.7%
(68.5% - 78.4%) |
52.1%
(46.6% - 57.7%) |
55.1%
(49.2% - 60.8%) |
Akshan/Kayn (RU/SH) | 51.7%
48.9% |
48.8%
(45.3% - 52.4%) |
34.4%
(31.1% - 37.8%) |
32.7%
(28.8% - 36.8%) |
42.7%
(38.1% - 47.4%) |
53.2%
(48.7% - 57.8%) |
29.9%
(24.0% - 36.4%) |
NA
NA |
34.7%
(28.1% - 41.8%) |
52.1%
(44.8% - 59.3%) |
39.9%
(33.2% - 46.9%) |
Akshan/Lee Sin (IO/SH) | 46.2%
42.8% |
41.4%
(38.3% - 44.6%) |
63.4%
(59.7% - 67.0%) |
52.6%
(48.4% - 56.8%) |
43.0%
(39.0% - 47.0%) |
57.7%
(51.9% - 63.3%) |
26.3%
(21.6% - 31.5%) |
65.3%
(58.2% - 71.9%) |
NA
NA |
43.5%
(37.4% - 49.8%) |
47.5%
(41.0% - 54.0%) |
Nami/Twisted Fate (BW/IO) | 54.5%
53.1% |
55.6%
(52.1% - 59.1%) |
58.8%
(55.0% - 62.6%) |
46.4%
(41.9% - 51.0%) |
55.4%
(51.1% - 59.7%) |
62.6%
(57.4% - 67.6%) |
47.9%
(42.3% - 53.4%) |
47.9%
(40.7% - 55.2%) |
56.5%
(50.2% - 62.6%) |
NA
NA |
46.6%
(40.4% - 53.0%) |
Evelynn/Viego (RU/SI) | 55.7%
53.6% |
54.0%
(50.6% - 57.4%) |
43.6%
(39.5% - 47.6%) |
59.3%
(55.0% - 63.6%) |
59.4%
(55.2% - 63.5%) |
57.5%
(52.3% - 62.7%) |
44.9%
(39.2% - 50.8%) |
60.1%
(53.1% - 66.8%) |
52.5%
(46.0% - 59.0%) |
53.4%
(47.0% - 59.6%) |
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 |