Patch 3.10 - Week 2 - WorldWalker Seaonal Tournament - Open Rournds - Waiting Room
Number of Master Players: 3662
Number of HighDiamond 1 Players: 6291
Number of (Ranked) Master matches analysed 105262 or 210524 games.
Number of (Ranked) ~HighDiamond matches analysed 215596 or 431192 games.
Last Update: 2022-07-13 18:32
Patch 3.10 - Week 2 - by the Numbers1 | ||||
---|---|---|---|---|
Characteristic3 | Master2 | ~HighDiamond2 | ||
N = 200,1114 | N = 105,2624 | N = 310,5044 | N = 215,5964 | |
Status | ||||
Ranked | 105,262 (53%) | 215,596 (69%) | ||
Other | 51,409 (26%) | 35,734 (12%) | ||
ThePathOfChampions | 38,926 (19%) | 57,418 (18%) | ||
Friendly Bo3 | 4,514 (2.3%) | 1,756 (0.6%) | ||
Server | ||||
Americas | 68,730 (34%) | 36,207 (34%) | 115,460 (37%) | 80,967 (38%) |
Apac | 64,163 (32%) | 31,445 (30%) | 95,218 (31%) | 62,098 (29%) |
Europe | 67,218 (34%) | 37,610 (36%) | 99,826 (32%) | 72,531 (34%) |
1 Max datetime recovered: 2022-07-13 14:54:47.837662 UTC from 2022-07-06 18:00:00 to 2022-07-13 18:00:00 UTC | ||||
2 EU Master 1276/1283 NA Master 1326/1331 APAC Master 1060/1062 | ||||
3 Metadata from Friendly Matches (that aren't Bo3) is not recoverable, the value may not be perfect since I lack the starting time of the game. The amount of Games to still scrap is also an estimation based on the 'position' of the game | ||||
4 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 | Unknown | ||
Player Rank | |||||
Master | 1,326 (13%) | 1,060 (11%) | 1,276 (13%) | 0 (0%) | 3,662 (37%) |
Diamond | 2,345 (24%) | 1,872 (19%) | 2,071 (21%) | 3 (<0.1%) | 6,291 (63%) |
Total | 3,671 (37%) | 2,932 (29%) | 3,347 (34%) | 3 (<0.1%) | 9,953 (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 | ||||
Shurima | 13.77% | 14.69% | 14.77% | 12.06% |
Piltover | 12.16% | 11.76% | 13.16% | 11.72% |
Bilgewater | 11.44% | 10.81% | 11.21% | 12.26% |
Noxus | 11.15% | 11.36% | 9.81% | 12.07% |
Freljord | 9.52% | 8.64% | 11.21% | 8.96% |
ShadowIsles | 8.67% | 8.68% | 7.97% | 9.25% |
MtTargon | 7.13% | 7.74% | 6.49% | 7.08% |
BandleCity | 6.58% | 8.17% | 4.73% | 6.59% |
Demacia | 6.46% | 6.42% | 5.39% | 7.38% |
Ionia | 5.06% | 4.75% | 5.58% | 4.93% |
Runeterra | ||||
Bard | 5.90% | 5.14% | 7.32% | 5.45% |
Jhin | 2.14% | 1.83% | 2.37% | 2.24% |
total | 8.04% | 6.97% | 9.69% | 7.69% |
Patch 3.10 - Week 2 Ranked games from 2022-07-06 18:00:00 UTC to 2022-07-13 18:00:00 UTC Source: Metadata of games collected with RiotGames API Last Update: 2022-07-13 16:30:22.823976 |
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 | 14.60% | 13.73% | 16.11% | 14.17% |
Shurima | 14.55% | 15.92% | 15.44% | 12.50% |
Bilgewater | 11.14% | 10.44% | 11.23% | 11.75% |
Noxus | 10.62% | 11.08% | 9.27% | 11.30% |
Freljord | 10.23% | 9.56% | 11.79% | 9.57% |
Demacia | 8.27% | 8.08% | 6.91% | 9.59% |
ShadowIsles | 7.29% | 7.35% | 6.79% | 7.64% |
MtTargon | 6.15% | 6.84% | 5.46% | 6.06% |
Ionia | 6.13% | 5.59% | 6.63% | 6.24% |
BandleCity | 5.60% | 6.74% | 3.95% | 5.88% |
Runeterra | 5.42% | 4.68% | 6.42% | 5.31% |
Patch 3.10 - Week 2 Ranked games from 2022-07-06 18:00:00 UTC to 2022-07-13 18:00:00 UTC Source: Metadata of games collected with RiotGames API Last Update: 2022-07-13 16:30:22.823976 |
Source: Metadata of games collected with RiotGames API. Last Update: 2022-07-13 16:34:13.792975 FALSE
Source: Metadata of games collected with RiotGames API. Last Update: 2022-07-13 16:34:14.06761 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.
Lissandra/Taliyah (FR/SH) | Annie/Twisted Fate (BW/NX) | Akshan/Renekton (BC/SH) | Aphelios/Viktor (MT/PZ) | Annie/Jhin (NX/RU) | Nami/Twisted Fate (BW/SI) | Miss Fortune/Quinn (BW/DE) | Azir/Irelia (IO/SH) | Poppy/Taric (DE/MT) | Heimerdinger/Jayce (PZ/SI) | |
---|---|---|---|---|---|---|---|---|---|---|
Lissandra/Taliyah (FR/SH) | NA
NA |
73.5%
(70.9% - 76.1%) |
49.6%
(46.1% - 53.1%) |
55.4%
(51.7% - 58.9%) |
35.5%
(31.7% - 39.4%) |
62.4%
(58.4% - 66.3%) |
53.5%
(49.1% - 57.9%) |
33.3%
(29.2% - 37.7%) |
40.1%
(35.7% - 44.6%) |
53.7%
(49.2% - 58.3%) |
Annie/Twisted Fate (BW/NX) | 26.5%
(23.9% - 29.1%) |
NA
NA |
49.9%
(46.1% - 53.7%) |
48.3%
(44.5% - 52.1%) |
52.9%
(48.7% - 57.1%) |
45.0%
(40.4% - 49.6%) |
44.5%
(40.0% - 49.1%) |
61.4%
(56.7% - 65.8%) |
56.5%
(51.7% - 61.2%) |
54.0%
(49.2% - 58.8%) |
Akshan/Renekton (BC/SH) | 50.4%
(46.9% - 53.9%) |
50.1%
(46.3% - 53.9%) |
NA
NA |
51.9%
(47.6% - 56.2%) |
53.8%
(48.7% - 58.8%) |
58.7%
(53.6% - 63.7%) |
53.5%
(47.9% - 58.9%) |
53.0%
(47.3% - 58.5%) |
55.4%
(50.2% - 60.5%) |
57.3%
(51.6% - 62.9%) |
Aphelios/Viktor (MT/PZ) | 44.6%
(41.1% - 48.3%) |
51.7%
(47.9% - 55.5%) |
48.1%
(43.8% - 52.4%) |
NA
NA |
63.5%
(58.1% - 68.6%) |
50.6%
(45.2% - 55.9%) |
50.3%
(44.5% - 56.2%) |
60.4%
(54.5% - 66.1%) |
49.3%
(43.3% - 55.3%) |
44.1%
(37.9% - 50.3%) |
Annie/Jhin (NX/RU) | 64.5%
(60.6% - 68.3%) |
47.1%
(42.9% - 51.3%) |
46.2%
(41.2% - 51.3%) |
36.5%
(31.4% - 41.9%) |
NA
NA |
49.4%
(43.1% - 55.7%) |
36.2%
(30.4% - 42.3%) |
67.2%
(61.1% - 72.9%) |
42.3%
(36.1% - 48.8%) |
39.8%
(33.5% - 46.5%) |
Nami/Twisted Fate (BW/SI) | 37.6%
(33.7% - 41.6%) |
55.0%
(50.4% - 59.6%) |
41.3%
(36.3% - 46.4%) |
49.4%
(44.1% - 54.8%) |
50.6%
(44.3% - 56.9%) |
NA
NA |
46.1%
(39.4% - 53.0%) |
44.1%
(37.3% - 51.1%) |
45.8%
(38.6% - 53.2%) |
52.4%
(45.4% - 59.4%) |
Miss Fortune/Quinn (BW/DE) | 46.5%
(42.1% - 50.9%) |
55.5%
(50.9% - 60.0%) |
46.5%
(41.1% - 52.1%) |
49.7%
(43.8% - 55.5%) |
63.8%
(57.7% - 69.6%) |
53.9%
(47.0% - 60.6%) |
NA
NA |
66.3%
(59.9% - 72.2%) |
40.8%
(34.3% - 47.5%) |
35.5%
(29.3% - 42.0%) |
Azir/Irelia (IO/SH) | 66.7%
(62.3% - 70.8%) |
38.6%
(34.2% - 43.3%) |
47.0%
(41.5% - 52.7%) |
39.6%
(33.9% - 45.5%) |
32.8%
(27.1% - 38.9%) |
55.9%
(48.9% - 62.7%) |
33.7%
(27.8% - 40.1%) |
NA
NA |
37.2%
(30.1% - 44.6%) |
46.2%
(38.2% - 54.3%) |
Poppy/Taric (DE/MT) | 59.9%
(55.4% - 64.3%) |
43.5%
(38.8% - 48.3%) |
44.6%
(39.5% - 49.8%) |
50.7%
(44.7% - 56.7%) |
57.7%
(51.2% - 63.9%) |
54.2%
(46.8% - 61.4%) |
59.2%
(52.5% - 65.7%) |
62.8%
(55.4% - 69.9%) |
NA
NA |
39.9%
(32.8% - 47.3%) |
Heimerdinger/Jayce (PZ/SI) | 46.3%
(41.7% - 50.8%) |
46.0%
(41.2% - 50.8%) |
42.7%
(37.1% - 48.4%) |
55.9%
(49.7% - 62.1%) |
60.2%
(53.5% - 66.5%) |
47.6%
(40.6% - 54.6%) |
64.5%
(58.0% - 70.7%) |
53.8%
(45.7% - 61.8%) |
60.1%
(52.7% - 67.2%) |
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 |