Data
Number of Master Players: 11456
Number of HighDiamond 1 Players: 13224
Number of (Ranked) Master matches analysed 200305 or 400610 games.
Number of (Ranked) ~HighDiamond matches analysed 290078 or 580156 games.
Last Update: 2022-11-23 18:32
Games
| Patch 3.19 - Week 2 - by the Numbers1 | ||||
| Characteristic | Master2 | ~HighDiamond2 | ||
|---|---|---|---|---|
| N = 410,9393 | N = 200,3053 | N = 453,9213 | N = 290,0783 | |
| Status | ||||
| Ranked | 200,305 (49%) | 290,078 (64%) | ||
| ThePathOfChampions | 115,512 (28%) | 96,816 (21%) | ||
| Other | 85,813 (21%) | 62,044 (14%) | ||
| Friendly Bo3 | 4,771 (1.2%) | 1,404 (0.3%) | ||
| Labs | 4,538 (1.1%) | 3,579 (0.8%) | ||
| Server | ||||
| Americas | 159,698 (39%) | 77,876 (39%) | 165,917 (37%) | 110,843 (38%) |
| Apac | 118,898 (29%) | 53,520 (27%) | 133,582 (29%) | 78,452 (27%) |
| Europe | 132,343 (32%) | 68,909 (34%) | 154,422 (34%) | 100,783 (35%) |
| 1 Max datetime recovered: 2022-11-23 16:29:00.219677 UTC from 2022-11-16 18:00:00 to 2022-11-23 18:00:00 UTC | ||||
| 2 EU Master 3879/3890 NA Master 4618/0 APAC Master 2959/2969 | ||||
| 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 | 4,618 (19%) | 2,959 (12%) | 3,879 (16%) | 11,456 (46%) |
| Diamond | 4,967 (20%) | 3,732 (15%) | 4,525 (18%) | 13,224 (54%) |
| Total | 9,585 (39%) | 6,691 (27%) | 8,404 (34%) | 24,680 (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 | ||||
| ShadowIsles | 17.19% | 17.16% | 15.61% | 18.45% |
| Piltover | 12.84% | 12.39% | 13.02% | 13.19% |
| Noxus | 11.69% | 11.55% | 10.93% | 12.44% |
| BandleCity | 9.50% | 9.34% | 9.31% | 9.83% |
| Freljord | 8.61% | 9.47% | 9.25% | 7.14% |
| MtTargon | 8.10% | 8.54% | 7.42% | 8.14% |
| Demacia | 7.49% | 7.24% | 8.34% | 7.11% |
| Shurima | 7.40% | 7.21% | 7.62% | 7.43% |
| Bilgewater | 6.14% | 6.11% | 6.62% | 5.81% |
| Ionia | 4.22% | 4.06% | 4.73% | 4.00% |
| Runeterra | ||||
| Kayn | 2.69% | 2.61% | 2.98% | 2.57% |
| Varus | 1.62% | 1.55% | 1.80% | 1.57% |
| Jhin | 1.30% | 1.39% | 1.24% | 1.25% |
| Evelynn | 0.43% | 0.57% | 0.36% | 0.33% |
| Jax | 0.39% | 0.41% | 0.41% | 0.34% |
| Bard | 0.38% | 0.41% | 0.34% | 0.39% |
| total | 6.82% | 6.93% | 7.13% | 6.45% |
| Patch 3.19 - Week 2 Ranked games from 2022-11-16 18:00:00 UTC to 2022-11-23 18:00:00 UTC Source: Metadata of games collected with RiotGames API Last Update: 2022-11-23 17:14:18.030178 | ||||
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 | ||||
| ShadowIsles | 15.47% | 15.14% | 14.30% | 16.73% |
| Piltover | 14.92% | 14.36% | 15.02% | 15.48% |
| Noxus | 10.10% | 9.95% | 9.43% | 10.79% |
| Freljord | 9.07% | 10.37% | 9.03% | 7.63% |
| MtTargon | 8.78% | 9.45% | 7.85% | 8.74% |
| BandleCity | 8.70% | 8.53% | 8.27% | 9.22% |
| Shurima | 8.12% | 7.89% | 8.55% | 8.05% |
| Runeterra | 7.37% | 7.36% | 7.76% | 7.07% |
| Demacia | 7.14% | 6.85% | 8.12% | 6.71% |
| Bilgewater | 6.14% | 6.13% | 6.61% | 5.80% |
| Ionia | 4.19% | 3.97% | 5.04% | 3.77% |
| Patch 3.19 - Week 2 Ranked games from 2022-11-16 18:00:00 UTC to 2022-11-23 18:00:00 UTC Source: Metadata of games collected with RiotGames API Last Update: 2022-11-23 17:14:18.030178 | ||||
Champions Combinations
Play Rates
Plot
from Master
Source: Metadata of games collected with RiotGames API. Last Update: 2022-11-23 17:34:23.719566 FALSE
from Diamond
Source: Metadata of games collected with RiotGames API. Last Update: 2022-11-23 17:34:24.33091 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 \(\in [0.1%, 1%)\)