Patch 3.13 - Week 2 - No more Kai’Sa rule34 meta; now we have pORNN
Number of Master Players: 2982
Number of HighDiamond 1 Players: 5087
Number of (Ranked) Master matches analysed 68881 or 137762 games.
Number of (Ranked) ~HighDiamond matches analysed 187870 or 375740 games.
Last Update: 2022-08-31 18:41
Patch 3.13 - Week 2 - by the Numbers1 | ||||
---|---|---|---|---|
Characteristic3 | Master2 | ~HighDiamond2 | ||
N = 147,6634 | N = 68,8814 | N = 264,4194 | N = 187,8704 | |
Status | ||||
Ranked | 68,881 (47%) | 187,870 (71%) | ||
Other | 40,350 (27%) | 23,580 (8.9%) | ||
ThePathOfChampions | 32,464 (22%) | 48,510 (18%) | ||
Friendly Bo3 | 3,351 (2.3%) | 1,225 (0.5%) | ||
Labs | 2,617 (1.8%) | 3,234 (1.2%) | ||
Server | ||||
Americas | 53,981 (37%) | 24,230 (35%) | 92,773 (35%) | 68,186 (36%) |
Apac | 46,336 (31%) | 21,676 (31%) | 85,841 (32%) | 57,672 (31%) |
Europe | 47,346 (32%) | 22,975 (33%) | 85,805 (32%) | 62,012 (33%) |
1 Max datetime recovered: 2022-08-31 16:17:45.835682 UTC from 2022-08-24 18:00:00 to 2022-08-31 19:00:00 UTC | ||||
2 EU Master 1021/1021 NA Master 1106/1112 APAC Master 855/856 | ||||
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 | ||
Player Rank | ||||
Master | 1,106 (14%) | 855 (11%) | 1,021 (13%) | 2,982 (37%) |
Diamond | 1,820 (23%) | 1,579 (20%) | 1,688 (21%) | 5,087 (63%) |
Total | 2,926 (36%) | 2,434 (30%) | 2,709 (34%) | 8,069 (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 | 21.53% | 21.44% | 20.80% | 22.33% |
Noxus | 12.97% | 12.33% | 14.17% | 12.52% |
Shurima | 12.44% | 13.72% | 11.12% | 12.32% |
Bilgewater | 10.79% | 10.86% | 11.41% | 10.14% |
Demacia | 8.91% | 8.97% | 8.46% | 9.28% |
Piltover | 8.09% | 8.94% | 7.68% | 7.58% |
Freljord | 6.65% | 5.54% | 8.32% | 6.25% |
MtTargon | 5.44% | 5.47% | 5.49% | 5.36% |
Ionia | 4.46% | 4.13% | 4.30% | 4.96% |
BandleCity | 4.20% | 3.94% | 4.16% | 4.52% |
Runeterra | ||||
Evelynn | 3.64% | 3.89% | 3.22% | 3.78% |
Jhin | 0.57% | 0.51% | 0.61% | 0.59% |
Bard | 0.30% | 0.26% | 0.26% | 0.37% |
total | 4.51% | 4.65% | 4.09% | 4.74% |
Patch 3.13 - Week 2 Ranked games from 2022-08-24 18:00:00 UTC to 2022-08-31 19:00:00 UTC Source: Metadata of games collected with RiotGames API Last Update: 2022-08-31 16:39:34.72731 |
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 | 23.78% | 24.02% | 22.87% | 24.38% |
Bilgewater | 12.02% | 12.08% | 12.89% | 11.15% |
Shurima | 11.64% | 12.76% | 10.80% | 11.26% |
Noxus | 11.58% | 10.96% | 12.64% | 11.24% |
Demacia | 8.46% | 8.44% | 8.16% | 8.77% |
Piltover | 7.07% | 8.22% | 6.70% | 6.21% |
Freljord | 6.98% | 5.69% | 8.41% | 6.99% |
Ionia | 5.95% | 5.41% | 5.65% | 6.79% |
MtTargon | 5.32% | 5.39% | 5.00% | 5.53% |
BandleCity | 3.90% | 3.61% | 3.80% | 4.29% |
Runeterra | 3.30% | 3.42% | 3.07% | 3.39% |
Patch 3.13 - Week 2 Ranked games from 2022-08-24 18:00:00 UTC to 2022-08-31 19:00:00 UTC Source: Metadata of games collected with RiotGames API Last Update: 2022-08-31 16:39:34.72731 |
Source: Metadata of games collected with RiotGames API. Last Update: 2022-08-31 16:42:44.979001 FALSE
Source: Metadata of games collected with RiotGames API. Last Update: 2022-08-31 16:42:45.271248 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) | Gwen/Katarina (NX/SI) | Evelynn/Viego (RU/SI) | Kindred/Nasus (SI/SH) | Akshan/Kai'Sa (DE/SH) | Senna/Veigar (BC/SI) | Poppy/Taric (DE/MT) | Ezreal/Kennen (IO/PZ) | Trundle/Tryndamere (FR/SI) | Trundle Timelines (FR/PZ) | |
---|---|---|---|---|---|---|---|---|---|---|---|
Pirates (BW/NX) | 54.5%
52.3% |
NA
NA |
47.0%
(44.0% - 50.0%) |
44.1%
(40.8% - 47.5%) |
63.5%
(60.0% - 66.9%) |
57.1%
(53.1% - 61.0%) |
46.8%
(42.6% - 51.1%) |
59.6%
(55.1% - 64.0%) |
58.2%
(53.6% - 62.7%) |
43.6%
(38.3% - 49.0%) |
46.8%
(41.1% - 52.7%) |
Gwen/Katarina (NX/SI) | 54.4%
51.6% |
53.0%
(50.0% - 56.0%) |
NA
NA |
38.1%
(34.7% - 41.6%) |
50.4%
(46.5% - 54.2%) |
52.4%
(47.6% - 57.1%) |
58.7%
(54.0% - 63.4%) |
49.1%
(44.2% - 54.1%) |
47.0%
(41.9% - 52.3%) |
49.6%
(43.7% - 55.6%) |
60.6%
(54.5% - 66.4%) |
Evelynn/Viego (RU/SI) | 54.0%
51.3% |
55.9%
(52.5% - 59.2%) |
61.9%
(58.4% - 65.3%) |
NA
NA |
53.4%
(49.3% - 57.5%) |
50.7%
(45.4% - 56.1%) |
40.1%
(34.9% - 45.4%) |
44.9%
(39.3% - 50.6%) |
51.9%
(46.2% - 57.6%) |
37.9%
(31.6% - 44.4%) |
45.9%
(38.9% - 52.9%) |
Kindred/Nasus (SI/SH) | 53.2%
51.3% |
36.5%
(33.1% - 40.0%) |
49.6%
(45.8% - 53.5%) |
46.6%
(42.5% - 50.7%) |
NA
NA |
58.6%
(53.0% - 64.1%) |
58.4%
(52.4% - 64.2%) |
58.7%
(52.7% - 64.5%) |
37.4%
(32.2% - 42.8%) |
61.3%
(54.2% - 68.0%) |
52.8%
(45.2% - 60.4%) |
Akshan/Kai'Sa (DE/SH) | 53.2%
51.0% |
42.9%
(39.0% - 46.9%) |
47.6%
(42.9% - 52.4%) |
49.3%
(43.9% - 54.6%) |
41.4%
(35.9% - 47.0%) |
NA
NA |
49.0%
(42.5% - 55.5%) |
55.6%
(48.3% - 62.6%) |
54.4%
(47.1% - 61.6%) |
70.2%
(62.5% - 77.1%) |
63.7%
(54.6% - 72.2%) |
Senna/Veigar (BC/SI) | 49.1%
47.3% |
53.2%
(48.9% - 57.4%) |
41.3%
(36.6% - 46.0%) |
59.9%
(54.6% - 65.1%) |
41.6%
(35.8% - 47.6%) |
51.0%
(44.5% - 57.5%) |
NA
NA |
35.8%
(29.2% - 42.8%) |
47.7%
(40.5% - 54.9%) |
35.5%
(27.1% - 44.6%) |
31.1%
(22.9% - 40.2%) |
Poppy/Taric (DE/MT) | 52.8%
52.0% |
40.4%
(36.0% - 44.9%) |
50.9%
(45.9% - 55.8%) |
55.1%
(49.4% - 60.7%) |
41.3%
(35.5% - 47.3%) |
44.4%
(37.4% - 51.7%) |
64.2%
(57.2% - 70.8%) |
NA
NA |
55.0%
(47.4% - 62.4%) |
63.0%
(54.0% - 71.4%) |
68.1%
(58.7% - 76.6%) |
Ezreal/Kennen (IO/PZ) | 52.2%
49.9% |
41.8%
(37.3% - 46.4%) |
53.0%
(47.7% - 58.1%) |
48.1%
(42.4% - 53.8%) |
62.6%
(57.2% - 67.8%) |
45.6%
(38.4% - 52.9%) |
52.3%
(45.1% - 59.5%) |
45.0%
(37.6% - 52.6%) |
NA
NA |
43.7%
(34.6% - 53.1%) |
65.0%
(55.8% - 73.5%) |
Trundle/Tryndamere (FR/SI) | 51.8%
50.3% |
56.4%
(51.0% - 61.7%) |
50.4%
(44.4% - 56.3%) |
62.1%
(55.6% - 68.4%) |
38.7%
(32.0% - 45.8%) |
29.8%
(22.9% - 37.5%) |
64.5%
(55.4% - 72.9%) |
37.0%
(28.6% - 46.0%) |
56.3%
(46.9% - 65.4%) |
NA
NA |
43.5%
(32.8% - 54.7%) |
Trundle Timelines (FR/PZ) | 49.3%
47.0% |
53.2%
(47.3% - 58.9%) |
39.4%
(33.6% - 45.5%) |
54.1%
(47.1% - 61.1%) |
47.2%
(39.6% - 54.8%) |
36.3%
(27.8% - 45.4%) |
68.9%
(59.8% - 77.1%) |
31.9%
(23.4% - 41.3%) |
35.0%
(26.5% - 44.2%) |
56.5%
(45.3% - 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 |