Patch 3.10 - Week 1 - It’s so hot outside that even Tybaulk is hoping for rain
Number of Master Players: 2849
Number of HighDiamond 1 Players: 5322
Number of (Ranked) Master matches analysed 90875 or 181750 games.
Number of (Ranked) ~HighDiamond matches analysed 204900 or 409800 games.
Last Update: 2022-07-06 19:52
Patch 3.10 - Week 1 - by the Numbers1 | ||||
---|---|---|---|---|
Characteristic3 | Master2 | ~HighDiamond2 | ||
N = 166,0684 | N = 90,8754 | N = 302,3234 | N = 204,9004 | |
Status | ||||
Ranked | 90,875 (55%) | 204,900 (68%) | ||
Other | 37,955 (23%) | 35,412 (12%) | ||
ThePathOfChampions | 34,808 (21%) | 60,615 (20%) | ||
Friendly Bo3 | 2,430 (1.5%) | 1,396 (0.5%) | ||
Server | ||||
Americas | 56,467 (34%) | 30,351 (33%) | 111,110 (37%) | 76,570 (37%) |
Apac | 53,633 (32%) | 26,020 (29%) | 91,090 (30%) | 58,400 (29%) |
Europe | 55,968 (34%) | 34,504 (38%) | 100,123 (33%) | 69,930 (34%) |
1 Max datetime recovered: 2022-07-06 16:36:53.666127 UTC from 2022-06-29 18:00:00 to 2022-07-06 18:00:00 UTC | ||||
2 EU Master 999/999 NA Master 1015/1018 APAC Master 835/836 | ||||
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 | 1,015 (12%) | 835 (10%) | 999 (12%) | 0 (0%) | 2,849 (35%) |
Diamond | 1,986 (24%) | 1,586 (19%) | 1,747 (21%) | 3 (<0.1%) | 5,322 (65%) |
Total | 3,001 (37%) | 2,421 (30%) | 2,746 (34%) | 3 (<0.1%) | 8,171 (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 | ||||
Noxus | 13.61% | 13.38% | 12.19% | 14.88% |
Piltover | 13.42% | 13.48% | 13.86% | 13.03% |
Bilgewater | 12.46% | 12.14% | 11.95% | 13.12% |
ShadowIsles | 12.35% | 12.25% | 12.68% | 12.19% |
Shurima | 10.52% | 10.78% | 10.94% | 9.99% |
Ionia | 7.79% | 8.34% | 7.40% | 7.60% |
Freljord | 6.71% | 6.04% | 8.30% | 6.12% |
MtTargon | 6.32% | 6.86% | 6.64% | 5.62% |
Demacia | 5.10% | 4.55% | 5.36% | 5.39% |
BandleCity | 4.44% | 5.06% | 3.49% | 4.60% |
Runeterra | ||||
Bard | 5.18% | 5.25% | 5.42% | 4.93% |
Jhin | 2.09% | 1.87% | 1.75% | 2.55% |
total | 7.27% | 7.12% | 7.17% | 7.48% |
Patch 3.10 - Week 1 Ranked games from 2022-06-29 18:00:00 UTC to 2022-07-06 18:00:00 UTC Source: Metadata of games collected with RiotGames API Last Update: 2022-07-06 17:46:50.750391 |
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 | 15.44% | 15.19% | 15.99% | 15.24% |
Noxus | 13.38% | 13.38% | 11.88% | 14.51% |
Bilgewater | 12.37% | 12.18% | 12.22% | 12.66% |
ShadowIsles | 11.17% | 11.15% | 11.44% | 10.99% |
Shurima | 10.33% | 10.60% | 10.80% | 9.74% |
Ionia | 9.37% | 10.02% | 8.87% | 9.17% |
Freljord | 6.90% | 6.26% | 8.45% | 6.28% |
Demacia | 6.20% | 5.41% | 6.54% | 6.64% |
MtTargon | 5.67% | 6.25% | 5.89% | 5.00% |
Runeterra | 4.93% | 4.59% | 4.59% | 5.49% |
BandleCity | 4.24% | 4.96% | 3.35% | 4.28% |
Patch 3.10 - Week 1 Ranked games from 2022-06-29 18:00:00 UTC to 2022-07-06 18:00:00 UTC Source: Metadata of games collected with RiotGames API Last Update: 2022-07-06 17:46:50.750391 |
Source: Metadata of games collected with RiotGames API. Last Update: 2022-07-06 17:53:20.605767 FALSE
Source: Metadata of games collected with RiotGames API. Last Update: 2022-07-06 17:53:20.822055 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.
Annie/Twisted Fate (BW/NX) | Nami/Twisted Fate (BW/SI) | Aphelios/Zoe (MT/PZ) | Azir/Irelia (IO/SH) | Ahri/Bard (IO/RU) | Annie/Jhin (NX/RU) | Heimerdinger/Jayce (PZ/SI) | Aphelios/Viktor (MT/PZ) | Lissandra/Taliyah (FR/SH) | Bard/Poppy (DE/RU) | |
---|---|---|---|---|---|---|---|---|---|---|
Annie/Twisted Fate (BW/NX) | NA
NA |
42.7%
(39.5% - 46.0%) |
48.8%
(45.5% - 52.0%) |
60.6%
(57.0% - 64.0%) |
54.2%
(50.6% - 57.8%) |
52.2%
(48.4% - 55.9%) |
59.0%
(55.1% - 62.8%) |
44.1%
(39.9% - 48.4%) |
26.8%
(22.7% - 31.1%) |
51.8%
(46.7% - 56.8%) |
Nami/Twisted Fate (BW/SI) | 57.3%
(54.0% - 60.5%) |
NA
NA |
53.9%
(49.1% - 58.7%) |
47.4%
(42.5% - 52.4%) |
46.7%
(41.7% - 51.7%) |
59.3%
(54.0% - 64.5%) |
61.2%
(55.8% - 66.5%) |
49.8%
(44.4% - 55.4%) |
39.2%
(33.2% - 45.3%) |
51.2%
(44.3% - 58.0%) |
Aphelios/Zoe (MT/PZ) | 51.2%
(48.0% - 54.5%) |
46.1%
(41.3% - 50.9%) |
NA
NA |
59.5%
(54.3% - 64.5%) |
58.8%
(53.7% - 63.7%) |
66.8%
(61.1% - 72.1%) |
48.1%
(42.4% - 53.8%) |
42.2%
(35.6% - 49.1%) |
29.9%
(23.9% - 36.5%) |
52.4%
(44.6% - 60.1%) |
Azir/Irelia (IO/SH) | 39.4%
(36.0% - 43.0%) |
52.6%
(47.6% - 57.5%) |
40.5%
(35.5% - 45.7%) |
NA
NA |
53.8%
(48.1% - 59.4%) |
28.5%
(23.6% - 33.7%) |
49.5%
(43.6% - 55.4%) |
45.5%
(38.6% - 52.5%) |
62.0%
(54.0% - 69.4%) |
37.9%
(30.7% - 45.4%) |
Ahri/Bard (IO/RU) | 45.8%
(42.2% - 49.4%) |
53.3%
(48.3% - 58.3%) |
41.2%
(36.3% - 46.3%) |
46.2%
(40.6% - 51.9%) |
NA
NA |
31.9%
(26.6% - 37.7%) |
54.3%
(48.3% - 60.3%) |
43.6%
(36.2% - 51.2%) |
50.0%
(42.7% - 57.3%) |
46.3%
(38.7% - 54.0%) |
Annie/Jhin (NX/RU) | 47.8%
(44.1% - 51.6%) |
40.7%
(35.5% - 46.0%) |
33.2%
(27.9% - 38.9%) |
71.5%
(66.3% - 76.4%) |
68.1%
(62.3% - 73.4%) |
NA
NA |
31.2%
(25.5% - 37.4%) |
28.7%
(21.7% - 36.4%) |
64.8%
(55.9% - 73.1%) |
37.9%
(30.7% - 45.4%) |
Heimerdinger/Jayce (PZ/SI) | 41.0%
(37.2% - 44.9%) |
38.8%
(33.5% - 44.2%) |
51.9%
(46.2% - 57.6%) |
50.5%
(44.6% - 56.4%) |
45.7%
(39.7% - 51.7%) |
68.8%
(62.6% - 74.5%) |
NA
NA |
53.5%
(45.4% - 61.4%) |
45.9%
(37.6% - 54.3%) |
66.2%
(57.6% - 74.1%) |
Aphelios/Viktor (MT/PZ) | 55.9%
(51.6% - 60.1%) |
50.2%
(44.6% - 55.6%) |
57.8%
(50.9% - 64.4%) |
54.5%
(47.5% - 61.4%) |
56.4%
(48.8% - 63.8%) |
71.3%
(63.6% - 78.3%) |
46.5%
(38.6% - 54.6%) |
NA
NA |
40.9%
(33.6% - 48.6%) |
51.5%
(42.7% - 60.3%) |
Lissandra/Taliyah (FR/SH) | 73.2%
(68.9% - 77.3%) |
60.8%
(54.7% - 66.8%) |
70.1%
(63.5% - 76.1%) |
38.0%
(30.6% - 46.0%) |
50.0%
(42.7% - 57.3%) |
35.2%
(26.9% - 44.1%) |
54.1%
(45.7% - 62.4%) |
59.1%
(51.4% - 66.4%) |
NA
NA |
53.7%
(44.4% - 62.7%) |
Bard/Poppy (DE/RU) | 48.2%
(43.2% - 53.3%) |
48.8%
(42.0% - 55.7%) |
47.6%
(39.9% - 55.4%) |
62.1%
(54.6% - 69.3%) |
53.7%
(46.0% - 61.3%) |
62.1%
(54.6% - 69.3%) |
33.8%
(25.9% - 42.4%) |
48.5%
(39.7% - 57.3%) |
46.3%
(37.3% - 55.6%) |
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 |