Data
Number of Master Players: 7219
Number of HighDiamond 1 Players: 9107
Number of (Ranked) Master matches analysed 179525 or 359050 games.
Number of (Ranked) ~HighDiamond matches analysed 329331 or 658662 games.
Last Update: 2022-09-28 18:06
Games
| Patch 3.15 - Week 2 - by the Numbers1 | ||||
| Characteristic | Master2 | ~HighDiamond2 | ||
|---|---|---|---|---|
| N = 351,1363 | N = 179,5253 | N = 491,5723 | N = 329,3313 | |
| Status | ||||
| Ranked | 179,525 (51%) | 329,331 (67%) | ||
| ThePathOfChampions | 96,921 (28%) | 98,609 (20%) | ||
| Other | 68,480 (20%) | 58,565 (12%) | ||
| Labs | 3,146 (0.9%) | 3,355 (0.7%) | ||
| Friendly Bo3 | 3,064 (0.9%) | 1,712 (0.3%) | ||
| Server | ||||
| Americas | 133,346 (38%) | 68,975 (38%) | 182,825 (37%) | 124,160 (38%) |
| Apac | 106,799 (30%) | 49,931 (28%) | 144,412 (29%) | 91,721 (28%) |
| Europe | 110,991 (32%) | 60,619 (34%) | 164,335 (33%) | 113,450 (34%) |
| 1 Max datetime recovered: 2022-09-28 15:04:00.5817 UTC from 2022-09-21 18:00:00 to 2022-09-28 18:00:00 UTC | ||||
| 2 EU Master 2407/2409 NA Master 2788/2801 APAC Master 2024/2039 | ||||
| 3 n(%) took from the number of matches. When the data is analysed the size is double since we account each different player | ||||
Account
| Shard/Server | Total | |||
|---|---|---|---|---|
| Americas | Apac | Europe | ||
| Player Rank | ||||
| Master | 2,788 (17%) | 2,024 (12%) | 2,407 (15%) | 7,219 (44%) |
| Diamond | 3,359 (21%) | 2,703 (17%) | 3,045 (19%) | 9,107 (56%) |
| Total | 6,147 (38%) | 4,727 (29%) | 5,452 (33%) | 16,326 (100%) |
Regions
Play Rate
Plot
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.
Table
| Region Play Rate | ||||
| Relative Frequencies by Inclusion Rate of a Region | ||||
| Freq | Shard | |||
|---|---|---|---|---|
| America | Apac | Europe | ||
| Regions | ||||
| Bilgewater | 16.01% | 16.11% | 15.21% | 16.56% |
| ShadowIsles | 14.99% | 14.94% | 15.71% | 14.46% |
| Ionia | 11.75% | 12.49% | 10.87% | 11.64% |
| Freljord | 10.70% | 9.88% | 10.98% | 11.39% |
| Shurima | 8.10% | 8.01% | 9.02% | 7.44% |
| Piltover | 7.48% | 7.38% | 7.15% | 7.86% |
| BandleCity | 7.39% | 7.83% | 7.40% | 6.90% |
| Noxus | 7.26% | 6.80% | 7.04% | 7.95% |
| Demacia | 5.95% | 6.22% | 5.69% | 5.87% |
| MtTargon | 5.82% | 6.14% | 5.89% | 5.40% |
| Runeterra | ||||
| Evelynn | 2.07% | 1.67% | 2.76% | 1.94% |
| Kayn | 0.86% | 0.84% | 0.74% | 0.98% |
| Jax | 0.68% | 0.69% | 0.72% | 0.64% |
| Jhin | 0.49% | 0.53% | 0.51% | 0.45% |
| Bard | 0.45% | 0.47% | 0.31% | 0.53% |
| total | 4.55% | 4.21% | 5.04% | 4.54% |
| Patch 3.15 - Week 2 Ranked games from 2022-09-21 18:00:00 UTC to 2022-09-28 18:00:00 UTC Source: Metadata of games collected with RiotGames API Last Update: 2022-09-28 16:01:10.909316 | ||||
Play Rate by number of Cards
Plot
Table
| 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 | 20.25% | 20.11% | 18.98% | 21.45% |
| ShadowIsles | 16.17% | 15.78% | 17.34% | 15.66% |
| Ionia | 12.65% | 13.63% | 11.59% | 12.39% |
| BandleCity | 7.83% | 8.42% | 7.68% | 7.28% |
| Shurima | 7.80% | 7.48% | 8.92% | 7.25% |
| Freljord | 6.95% | 6.27% | 7.55% | 7.23% |
| Piltover | 6.84% | 6.62% | 6.52% | 7.36% |
| Noxus | 6.26% | 5.92% | 6.13% | 6.76% |
| Demacia | 5.82% | 6.14% | 5.58% | 5.65% |
| MtTargon | 5.67% | 6.10% | 5.56% | 5.27% |
| Runeterra | 3.75% | 3.51% | 4.15% | 3.70% |
| Patch 3.15 - Week 2 Ranked games from 2022-09-21 18:00:00 UTC to 2022-09-28 18:00:00 UTC Source: Metadata of games collected with RiotGames API Last Update: 2022-09-28 16:01:10.909316 | ||||
Champions Combinations
Play Rates
Plot
from Master
Source: Metadata of games collected with RiotGames API. Last Update: 2022-09-28 16:08:34.862942 FALSE
from Diamond
Source: Metadata of games collected with RiotGames API. Last Update: 2022-09-28 16:08:35.354382 FALSE
Day by day
Hourly/Dialy lines
Stacked Playrates
Each playrate is stacked upon the other with the decks with the highest overall play-rate (the written value) being at the bottom.
Stacked Games
Win Rates
Meta Decks
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
Underdog
Top Win rates of the top10 best performing least played combination of champions. Play rate \(\in [0.1%, 1%)\)
Match Ups
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”.
Match-up Grid
The win rates on the grid are among the 10 most played champion combination.
| WR (WRmeta) | Gangplank/Sejuani (BW/FR) | Lee Sin/Nami (BW/IO) | Pirates (BW/NX) | Heimerdinger/Norra (BC/SI) | Poppy/Taric (DE/MT) | Evelynn/Viego (RU/SI) | Trundle Timelines (FR/PZ) | Gwen/Katarina (NX/SI) | Norra/Veigar (BC/SI) | Kindred/Nasus (SI/SH) | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Gangplank/Sejuani (BW/FR) | 53.6%
51.0% |
NA
NA |
46.4%
(44.4% - 48.5%) |
62.3%
(60.1% - 64.4%) |
50.8%
(48.4% - 53.1%) |
50.3%
(47.7% - 52.9%) |
35.4%
(32.9% - 38.0%) |
51.5%
(48.7% - 54.2%) |
58.5%
(55.7% - 61.4%) |
45.9%
(42.7% - 49.1%) |
55.0%
(51.9% - 58.1%) |
| Lee Sin/Nami (BW/IO) | 57.1%
53.9% |
53.6%
(51.5% - 55.6%) |
NA
NA |
50.1%
(47.3% - 52.9%) |
62.5%
(59.8% - 65.1%) |
41.7%
(38.7% - 44.7%) |
57.9%
(54.6% - 61.2%) |
72.7%
(69.6% - 75.6%) |
49.9%
(46.2% - 53.7%) |
59.4%
(55.8% - 62.9%) |
51.5%
(47.6% - 55.4%) |
| Pirates (BW/NX) | 54.2%
50.2% |
37.7%
(35.6% - 39.9%) |
49.9%
(47.1% - 52.7%) |
NA
NA |
45.8%
(42.7% - 48.9%) |
59.4%
(56.0% - 62.6%) |
46.5%
(42.9% - 50.1%) |
58.1%
(54.5% - 61.6%) |
54.6%
(50.7% - 58.5%) |
39.9%
(35.8% - 44.1%) |
61.8%
(57.5% - 66.0%) |
| Heimerdinger/Norra (BC/SI) | 50.6%
47.4% |
49.2%
(46.9% - 51.6%) |
37.5%
(34.9% - 40.2%) |
54.2%
(51.1% - 57.3%) |
NA
NA |
40.8%
(37.4% - 44.4%) |
51.9%
(48.2% - 55.7%) |
33.3%
(29.8% - 37.0%) |
50.9%
(46.8% - 55.0%) |
45.1%
(40.9% - 49.5%) |
49.8%
(45.3% - 54.3%) |
| Poppy/Taric (DE/MT) | 55.7%
53.0% |
49.7%
(47.1% - 52.3%) |
58.3%
(55.3% - 61.3%) |
40.6%
(37.4% - 44.0%) |
59.2%
(55.6% - 62.6%) |
NA
NA |
48.0%
(43.8% - 52.2%) |
56.4%
(52.2% - 60.6%) |
54.0%
(49.3% - 58.6%) |
56.2%
(51.6% - 60.7%) |
43.2%
(38.5% - 48.0%) |
| Evelynn/Viego (RU/SI) | 54.3%
52.1% |
64.6%
(62.0% - 67.1%) |
42.1%
(38.8% - 45.4%) |
53.5%
(49.9% - 57.1%) |
48.1%
(44.3% - 51.8%) |
52.0%
(47.8% - 56.2%) |
NA
NA |
46.6%
(42.4% - 50.8%) |
62.7%
(57.9% - 67.2%) |
34.3%
(29.3% - 39.5%) |
56.8%
(52.1% - 61.5%) |
| Trundle Timelines (FR/PZ) | 50.3%
46.9% |
48.5%
(45.8% - 51.3%) |
27.3%
(24.4% - 30.4%) |
41.9%
(38.4% - 45.5%) |
66.7%
(63.0% - 70.2%) |
43.6%
(39.4% - 47.8%) |
53.4%
(49.2% - 57.6%) |
NA
NA |
49.0%
(44.3% - 53.7%) |
66.5%
(61.5% - 71.2%) |
45.4%
(40.2% - 50.7%) |
| Gwen/Katarina (NX/SI) | 52.7%
47.7% |
41.5%
(38.6% - 44.3%) |
50.1%
(46.3% - 53.8%) |
45.4%
(41.5% - 49.3%) |
49.1%
(45.0% - 53.2%) |
46.0%
(41.4% - 50.7%) |
37.3%
(32.8% - 42.1%) |
51.0%
(46.3% - 55.7%) |
NA
NA |
58.4%
(52.6% - 64.1%) |
56.1%
(50.3% - 61.8%) |
| Norra/Veigar (BC/SI) | 51.4%
49.0% |
54.1%
(50.9% - 57.3%) |
40.6%
(37.1% - 44.2%) |
60.1%
(55.9% - 64.2%) |
54.9%
(50.5% - 59.1%) |
43.8%
(39.3% - 48.4%) |
65.7%
(60.5% - 70.7%) |
33.5%
(28.8% - 38.5%) |
41.6%
(35.9% - 47.4%) |
NA
NA |
34.3%
(28.6% - 40.4%) |
| Kindred/Nasus (SI/SH) | 52.0%
48.3% |
45.0%
(41.9% - 48.1%) |
48.5%
(44.6% - 52.4%) |
38.2%
(34.0% - 42.5%) |
50.2%
(45.7% - 54.7%) |
56.8%
(52.0% - 61.5%) |
43.2%
(38.5% - 47.9%) |
54.6%
(49.3% - 59.8%) |
43.9%
(38.2% - 49.7%) |
65.7%
(59.6% - 71.4%) |
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 | |||||||||||