Patch 3.15 - Week 1 - I draw ny line here. I report whatever the rank I want! (semicit)
Number of Master Players: 4272
Number of HighDiamond 1 Players: 6893
Number of (Ranked) Master matches analysed 129935 or 259870 games.
Number of (Ranked) ~HighDiamond matches analysed 306913 or 613826 games.
Last Update: 2022-09-21 17:44
Patch 3.15 - Week 1 - by the Numbers1 | ||||
Characteristic | Master2 | ~HighDiamond2 | ||
---|---|---|---|---|
N = 229,0093 | N = 129,9353 | N = 436,4083 | N = 306,9133 | |
Status | ||||
Ranked | 129,935 (57%) | 306,913 (70%) | ||
ThePathOfChampions | 54,084 (24%) | 79,942 (18%) | ||
Other | 41,219 (18%) | 45,405 (10%) | ||
Friendly Bo3 | 2,274 (1.0%) | 1,507 (0.3%) | ||
Labs | 1,497 (0.7%) | 2,641 (0.6%) | ||
Server | ||||
Americas | 86,981 (38%) | 49,660 (38%) | 162,340 (37%) | 114,534 (37%) |
Apac | 71,456 (31%) | 36,781 (28%) | 129,454 (30%) | 87,961 (29%) |
Europe | 70,572 (31%) | 43,494 (33%) | 144,614 (33%) | 104,418 (34%) |
1 Max datetime recovered: 2022-09-21 14:52:48.41445 UTC from 2022-09-14 18:00:00 to 2022-09-21 18:00:00 UTC | ||||
2 EU Master 1414/1415 NA Master 1619/1626 APAC Master 1239/1242 | ||||
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 | 1,619 (15%) | 1,239 (11%) | 1,414 (13%) | 4,272 (38%) |
Diamond | 2,567 (23%) | 2,016 (18%) | 2,310 (21%) | 6,893 (62%) |
Total | 4,186 (37%) | 3,255 (29%) | 3,724 (33%) | 11,165 (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 | 16.83% | 16.69% | 17.88% | 16.10% |
Bilgewater | 15.01% | 15.63% | 13.48% | 15.60% |
Freljord | 9.86% | 9.76% | 9.45% | 10.34% |
Ionia | 9.30% | 9.27% | 8.91% | 9.65% |
Piltover | 8.71% | 8.13% | 8.99% | 9.14% |
Shurima | 8.69% | 9.04% | 9.56% | 7.56% |
Noxus | 8.62% | 8.30% | 8.19% | 9.36% |
BandleCity | 7.74% | 8.07% | 8.43% | 6.77% |
Demacia | 5.95% | 5.88% | 6.44% | 5.62% |
MtTargon | 5.34% | 5.22% | 5.24% | 5.56% |
Runeterra | ||||
Evelynn | 1.67% | 1.77% | 1.17% | 1.98% |
Kayn | 0.87% | 0.94% | 0.86% | 0.81% |
Jax | 0.79% | 0.70% | 0.97% | 0.76% |
Bard | 0.34% | 0.33% | 0.15% | 0.52% |
Jhin | 0.26% | 0.26% | 0.29% | 0.24% |
total | 3.94% | 4.00% | 3.44% | 4.30% |
Patch 3.15 - Week 1 Ranked games from 2022-09-14 18:00:00 UTC to 2022-09-21 18:00:00 UTC Source: Metadata of games collected with RiotGames API Last Update: 2022-09-21 15:40:47.980072 |
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 | ||||
Bilgewater | 18.82% | 19.78% | 16.61% | 19.59% |
ShadowIsles | 18.38% | 17.99% | 19.70% | 17.70% |
Ionia | 10.34% | 10.37% | 10.03% | 10.56% |
Piltover | 7.96% | 7.44% | 8.03% | 8.50% |
BandleCity | 7.94% | 8.37% | 8.67% | 6.82% |
Shurima | 7.92% | 8.12% | 8.72% | 7.03% |
Noxus | 7.36% | 7.14% | 6.99% | 7.92% |
Freljord | 6.84% | 6.51% | 6.75% | 7.28% |
Demacia | 5.96% | 5.93% | 6.38% | 5.65% |
MtTargon | 5.23% | 5.10% | 5.11% | 5.48% |
Runeterra | 3.26% | 3.24% | 3.02% | 3.48% |
Patch 3.15 - Week 1 Ranked games from 2022-09-14 18:00:00 UTC to 2022-09-21 18:00:00 UTC Source: Metadata of games collected with RiotGames API Last Update: 2022-09-21 15:40:47.980072 |
Source: Metadata of games collected with RiotGames API. Last Update: 2022-09-21 15:45:23.271054 FALSE
Source: Metadata of games collected with RiotGames API. Last Update: 2022-09-21 15:45:23.843163 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) | Heimerdinger/Norra (BC/SI) | Gangplank/Sejuani (BW/FR) | Trundle Timelines (FR/PZ) | Gwen/Katarina (NX/SI) | Kindred/Nasus (SI/SH) | Nami/Twisted Fate (BW/IO) | Evelynn/Viego (RU/SI) | Poppy/Taric (DE/MT) | Ezreal/Kennen (IO/PZ) | |
---|---|---|---|---|---|---|---|---|---|---|---|
Pirates (BW/NX) | 54.1%
51.6% |
NA
NA |
42.5%
(40.1% - 44.9%) |
38.4%
(35.9% - 41.0%) |
56.1%
(53.2% - 59.0%) |
51.5%
(48.4% - 54.6%) |
62.9%
(59.4% - 66.3%) |
46.7%
(43.2% - 50.2%) |
45.7%
(41.9% - 49.6%) |
62.1%
(58.3% - 65.8%) |
60.5%
(55.9% - 64.8%) |
Heimerdinger/Norra (BC/SI) | 50.5%
48.6% |
57.5%
(55.1% - 59.9%) |
NA
NA |
51.1%
(48.3% - 53.8%) |
30.4%
(27.7% - 33.3%) |
47.5%
(44.3% - 50.7%) |
54.3%
(50.7% - 57.9%) |
42.8%
(39.1% - 46.5%) |
52.0%
(48.0% - 55.9%) |
46.7%
(42.9% - 50.6%) |
55.2%
(50.7% - 59.7%) |
Gangplank/Sejuani (BW/FR) | 54.8%
53.2% |
61.6%
(59.0% - 64.1%) |
48.9%
(46.2% - 51.7%) |
NA
NA |
55.0%
(51.8% - 58.3%) |
54.8%
(51.2% - 58.3%) |
60.5%
(56.9% - 63.9%) |
50.5%
(46.9% - 54.1%) |
38.4%
(34.7% - 42.2%) |
52.0%
(48.0% - 56.1%) |
52.7%
(47.8% - 57.6%) |
Trundle Timelines (FR/PZ) | 51.7%
48.8% |
43.9%
(41.0% - 46.8%) |
69.6%
(66.7% - 72.3%) |
45.0%
(41.7% - 48.2%) |
NA
NA |
48.6%
(44.6% - 52.8%) |
46.4%
(41.7% - 51.2%) |
36.0%
(31.6% - 40.6%) |
56.6%
(51.6% - 61.5%) |
46.4%
(41.5% - 51.4%) |
38.5%
(33.2% - 44.0%) |
Gwen/Katarina (NX/SI) | 53.4%
50.0% |
48.5%
(45.4% - 51.6%) |
52.5%
(49.3% - 55.7%) |
45.2%
(41.7% - 48.8%) |
51.4%
(47.2% - 55.4%) |
NA
NA |
54.7%
(50.2% - 59.2%) |
51.4%
(46.5% - 56.3%) |
42.1%
(37.2% - 47.2%) |
48.0%
(42.8% - 53.2%) |
46.3%
(40.5% - 52.1%) |
Kindred/Nasus (SI/SH) | 49.6%
45.5% |
37.1%
(33.7% - 40.6%) |
45.7%
(42.1% - 49.3%) |
39.5%
(36.1% - 43.1%) |
53.6%
(48.8% - 58.3%) |
45.3%
(40.8% - 49.8%) |
NA
NA |
53.9%
(48.0% - 59.7%) |
41.8%
(36.2% - 47.6%) |
55.5%
(49.4% - 61.5%) |
34.3%
(28.4% - 40.5%) |
Nami/Twisted Fate (BW/IO) | 54.4%
51.4% |
53.3%
(49.8% - 56.8%) |
57.2%
(53.5% - 60.9%) |
49.5%
(45.9% - 53.1%) |
64.0%
(59.4% - 68.4%) |
48.6%
(43.7% - 53.5%) |
46.1%
(40.3% - 52.0%) |
NA
NA |
56.7%
(50.9% - 62.4%) |
33.3%
(27.6% - 39.4%) |
45.4%
(39.1% - 51.8%) |
Evelynn/Viego (RU/SI) | 53.6%
52.3% |
54.3%
(50.4% - 58.1%) |
48.0%
(44.1% - 52.0%) |
61.6%
(57.8% - 65.3%) |
43.4%
(38.5% - 48.4%) |
57.9%
(52.8% - 62.8%) |
58.2%
(52.4% - 63.8%) |
43.3%
(37.6% - 49.1%) |
NA
NA |
52.6%
(46.2% - 58.9%) |
46.7%
(39.4% - 54.2%) |
Poppy/Taric (DE/MT) | 52.9%
50.1% |
37.9%
(34.2% - 41.7%) |
53.3%
(49.4% - 57.1%) |
48.0%
(43.9% - 52.0%) |
53.6%
(48.6% - 58.5%) |
52.0%
(46.8% - 57.2%) |
44.5%
(38.5% - 50.6%) |
66.7%
(60.6% - 72.4%) |
47.4%
(41.1% - 53.8%) |
NA
NA |
57.1%
(49.3% - 64.7%) |
Ezreal/Kennen (IO/PZ) | 52.2%
49.6% |
39.5%
(35.2% - 44.1%) |
44.8%
(40.3% - 49.3%) |
47.3%
(42.4% - 52.2%) |
61.5%
(56.0% - 66.8%) |
53.7%
(47.9% - 59.5%) |
65.7%
(59.5% - 71.6%) |
54.6%
(48.2% - 60.9%) |
53.3%
(45.8% - 60.6%) |
42.9%
(35.3% - 50.7%) |
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 |