Patch 3.9 - Week 2 - Featuring the new meta as special guest
Number of Master Players: 2094
Number of HighDiamond 1 Players: 4329
Number of (Ranked) Master matches analysed 53073 or 106146 games.
Number of (Ranked) ~HighDiamond matches analysed 138348 or 276696 games.
Last Update: 2022-06-29 19:09
Patch 3.9 - Week 2 - by the Numbers1 | ||||
---|---|---|---|---|
Characteristic3 | Master2 | ~HighDiamond2 | ||
N = 112,5384 | N = 64,9884 | N = 248,0354 | N = 165,7474 | |
Status | ||||
Ranked | 64,988 (58%) | 165,747 (67%) | ||
Other | 23,900 (21%) | 29,939 (12%) | ||
ThePathOfChampions | 22,006 (20%) | 50,972 (21%) | ||
Friendly Bo3 | 1,644 (1.5%) | 1,377 (0.6%) | ||
Server | ||||
Americas | 36,652 (33%) | 21,494 (33%) | 87,660 (35%) | 59,814 (36%) |
Apac | 37,486 (33%) | 19,187 (30%) | 77,556 (31%) | 49,012 (30%) |
Europe | 38,400 (34%) | 24,307 (37%) | 82,819 (33%) | 56,921 (34%) |
1 Max datetime recovered: 2022-06-29 16:14:01.69833 UTC from 2022-06-22 18:00:00 to 2022-06-29 18:00:00 UTC | ||||
2 EU Master 731/734 NA Master 741/745 APAC Master 622/622 | ||||
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 | 741 (12%) | 622 (9.7%) | 731 (11%) | 0 (0%) | 2,094 (33%) |
Diamond | 1,589 (25%) | 1,289 (20%) | 1,450 (23%) | 1 (<0.1%) | 4,329 (67%) |
Total | 2,330 (36%) | 1,911 (30%) | 2,181 (34%) | 1 (<0.1%) | 6,423 (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 | ||||
Piltover | 15.16% | 16.04% | 15.11% | 14.45% |
Noxus | 12.28% | 11.46% | 10.98% | 14.03% |
Shurima | 11.53% | 12.26% | 11.70% | 10.77% |
ShadowIsles | 10.35% | 9.99% | 11.05% | 10.10% |
Demacia | 8.76% | 8.52% | 8.53% | 9.16% |
Bilgewater | 6.96% | 6.87% | 7.04% | 6.96% |
Freljord | 6.78% | 6.45% | 7.01% | 6.88% |
MtTargon | 6.62% | 7.61% | 7.12% | 5.36% |
Ionia | 5.82% | 5.57% | 6.00% | 5.89% |
BandleCity | 4.26% | 4.14% | 4.29% | 4.34% |
Runeterra | ||||
Bard | 9.82% | 9.74% | 9.75% | 9.94% |
Jhin | 1.66% | 1.35% | 1.40% | 2.13% |
total | 11.48% | 11.09% | 11.15% | 12.07% |
Patch 3.9 - Week 2 Ranked games from 2022-06-22 18:00:00 UTC to 2022-06-29 18:00:00 UTC Source: Metadata of games collected with RiotGames API Last Update: 2022-06-29 17:08:41.163717 |
Region Play Rate | ||||
---|---|---|---|---|
Relative Frequencies by Inclusion Rate of a Region | ||||
Freq | Shard | |||
America | Apac | Europe | ||
Regions | ||||
ShadowIsles | 14.09% | 14.03% | 14.39% | 13.95% |
Piltover | 12.99% | 13.77% | 13.12% | 12.16% |
Noxus | 12.67% | 13.71% | 10.45% | 13.22% |
Ionia | 11.06% | 10.01% | 10.14% | 12.68% |
Shurima | 10.54% | 9.15% | 11.33% | 11.30% |
Bilgewater | 8.74% | 8.91% | 8.16% | 8.97% |
Freljord | 6.12% | 6.34% | 5.78% | 6.13% |
Demacia | 5.92% | 5.55% | 7.09% | 5.46% |
MtTargon | 4.92% | 5.29% | 5.13% | 4.43% |
BandleCity | 4.56% | 5.11% | 5.10% | 3.66% |
Runeterra | ||||
Bard | 6.36% | 6.40% | 7.05% | 5.84% |
Jhin | 2.04% | 1.72% | 2.25% | 2.20% |
total | 8.40% | 8.13% | 9.30% | 8.04% |
Patch 3.9 - Week 2 Ranked games from 2022-06-22 18:00:00 UTC to 2022-06-29 18:00:00 UTC Source: Metadata of games collected with RiotGames API Last Update: 2022-06-29 17:08:41.163717 |
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 | 16.17% | 16.46% | 16.15% | 15.93% |
Shurima | 13.80% | 14.90% | 14.55% | 12.22% |
Demacia | 11.80% | 11.67% | 11.70% | 12.01% |
Noxus | 11.25% | 10.73% | 9.88% | 12.80% |
ShadowIsles | 8.81% | 8.53% | 9.61% | 8.41% |
Ionia | 7.88% | 7.25% | 8.11% | 8.23% |
Bilgewater | 7.46% | 7.44% | 7.49% | 7.46% |
Freljord | 6.60% | 6.36% | 6.68% | 6.73% |
MtTargon | 6.06% | 6.94% | 6.22% | 5.17% |
Runeterra | 5.96% | 5.40% | 5.50% | 6.82% |
BandleCity | 4.21% | 4.32% | 4.10% | 4.22% |
Patch 3.9 - Week 2 Ranked games from 2022-06-22 18:00:00 UTC to 2022-06-29 18:00:00 UTC Source: Metadata of games collected with RiotGames API Last Update: 2022-06-29 17:08:41.163717 |
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 | 14.72% | 15.13% | 15.04% | 14.11% |
ShadowIsles | 13.83% | 14.00% | 13.61% | 13.82% |
Ionia | 12.79% | 11.59% | 11.52% | 14.82% |
Noxus | 11.79% | 13.19% | 9.23% | 12.24% |
Shurima | 10.74% | 9.64% | 11.91% | 10.96% |
Bilgewater | 8.97% | 9.05% | 8.66% | 9.11% |
Demacia | 6.68% | 5.98% | 8.60% | 6.01% |
Freljord | 6.11% | 6.36% | 6.02% | 5.94% |
Runeterra | 5.24% | 4.77% | 5.78% | 5.30% |
BandleCity | 4.59% | 5.19% | 5.01% | 3.72% |
MtTargon | 4.54% | 5.08% | 4.64% | 3.96% |
Patch 3.9 - Week 2 Ranked games from 2022-06-22 18:00:00 UTC to 2022-06-29 18:00:00 UTC Source: Metadata of games collected with RiotGames API Last Update: 2022-06-29 17:08:41.163717 |
Source: Metadata of games collected with RiotGames API. Last Update: 2022-06-29 17:10:33.65925 FALSE
Source: Metadata of games collected with RiotGames API. Last Update: 2022-06-29 17:10:33.897011 FALSE
An “updated” version of the old format. I don’t really find it useful (a bit cool, but not useful) and still most likely leave it
It display both daily aggregated data and hourly (background) data
Each playrate is stacked upon the other with the decks with the highest overall play-rate (the written value) being at the bottom.
The stacked plots are “more interesting” this week as they easily show the shift from the “old meta to the new one” but in term of absolute number of games being played and regarding with which decks.
For the rest of the report only the data pre-patch will be used
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.
Bard/Poppy (DE/RU) | Lissandra/Taliyah (FR/SH) | Ahri/Bard (IO/RU) | Nami/Twisted Fate (BW/SI) | Annie/Ezreal (NX/PZ) | Akshan (PZ/SH) | Camavoran Deserter | SunDisc | Annie/Jhin (NX/RU) | Heimerdinger/Jayce (PZ/SI) | |
---|---|---|---|---|---|---|---|---|---|---|
Bard/Poppy (DE/RU) | NA
NA |
52.4%
(48.3% - 56.5%) |
53.6%
(49.5% - 57.7%) |
51.5%
(46.2% - 56.8%) |
53.2%
(47.6% - 58.7%) |
68.0%
(62.4% - 73.2%) |
45.3%
(39.2% - 51.5%) |
53.7%
(47.6% - 59.7%) |
71.4%
(65.3% - 76.9%) |
39.3%
(33.4% - 45.5%) |
Lissandra/Taliyah (FR/SH) | 47.6%
(43.5% - 51.7%) |
NA
NA |
42.1%
(37.6% - 46.6%) |
56.0%
(50.2% - 61.8%) |
71.3%
(65.5% - 76.5%) |
47.9%
(41.4% - 54.4%) |
43.9%
(37.5% - 50.5%) |
45.9%
(38.9% - 52.9%) |
39.8%
(32.9% - 47.0%) |
65.7%
(58.7% - 72.2%) |
Ahri/Bard (IO/RU) | 46.4%
(42.3% - 50.5%) |
57.9%
(53.4% - 62.4%) |
NA
NA |
55.6%
(49.3% - 61.8%) |
51.4%
(45.5% - 57.3%) |
61.2%
(54.4% - 67.7%) |
75.5%
(69.5% - 80.9%) |
64.9%
(57.8% - 71.4%) |
33.2%
(26.9% - 39.9%) |
61.5%
(54.6% - 68.2%) |
Nami/Twisted Fate (BW/SI) | 48.5%
(43.2% - 53.8%) |
44.0%
(38.2% - 49.8%) |
44.4%
(38.2% - 50.7%) |
NA
NA |
71.4%
(63.6% - 78.4%) |
42.5%
(34.5% - 50.7%) |
59.3%
(50.7% - 67.5%) |
38.9%
(30.3% - 48.0%) |
56.8%
(47.3% - 65.9%) |
54.1%
(45.3% - 62.8%) |
Annie/Ezreal (NX/PZ) | 46.8%
(41.3% - 52.4%) |
28.7%
(23.5% - 34.5%) |
48.6%
(42.7% - 54.5%) |
28.6%
(21.6% - 36.4%) |
NA
NA |
63.0%
(55.2% - 70.4%) |
63.0%
(54.4% - 71.1%) |
32.3%
(24.3% - 41.2%) |
57.9%
(48.3% - 67.1%) |
34.7%
(25.5% - 44.8%) |
Akshan (PZ/SH) | 32.0%
(26.8% - 37.6%) |
52.1%
(45.6% - 58.6%) |
38.8%
(32.3% - 45.6%) |
57.5%
(49.3% - 65.5%) |
37.0%
(29.6% - 44.8%) |
NA
NA |
59.8%
(49.6% - 69.4%) |
52.7%
(43.0% - 62.2%) |
15.5%
(9.3% - 23.6%) |
39.1%
(29.1% - 49.9%) |
Camavoran Deserter | 54.7%
(48.5% - 60.8%) |
56.1%
(49.5% - 62.5%) |
24.5%
(19.1% - 30.5%) |
40.7%
(32.5% - 49.3%) |
37.0%
(28.9% - 45.6%) |
40.2%
(30.6% - 50.4%) |
NA
NA |
58.4%
(48.8% - 67.6%) |
53.8%
(43.1% - 64.2%) |
40.6%
(30.9% - 50.8%) |
SunDisc | 46.3%
(40.3% - 52.4%) |
54.1%
(47.1% - 61.1%) |
35.1%
(28.6% - 42.2%) |
61.1%
(52.0% - 69.7%) |
67.7%
(58.8% - 75.7%) |
47.3%
(37.8% - 57.0%) |
41.6%
(32.4% - 51.2%) |
NA
NA |
20.0%
(11.9% - 30.4%) |
57.7%
(46.0% - 68.8%) |
Annie/Jhin (NX/RU) | 28.6%
(23.1% - 34.7%) |
60.2%
(53.0% - 67.1%) |
66.8%
(60.1% - 73.1%) |
43.2%
(34.1% - 52.7%) |
42.1%
(32.9% - 51.7%) |
84.5%
(76.4% - 90.7%) |
46.2%
(35.8% - 56.9%) |
80.0%
(69.6% - 88.1%) |
NA
NA |
31.8%
(22.3% - 42.6%) |
Heimerdinger/Jayce (PZ/SI) | 60.7%
(54.5% - 66.6%) |
34.3%
(27.8% - 41.3%) |
38.5%
(31.8% - 45.4%) |
45.9%
(37.2% - 54.7%) |
65.3%
(55.2% - 74.5%) |
60.9%
(50.1% - 70.9%) |
59.4%
(49.2% - 69.1%) |
42.3%
(31.2% - 54.0%) |
68.2%
(57.4% - 77.7%) |
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 |