Top32 Seasonal Decks
Before starting the report let us end the Seasonal Data starting with the top32 decks. Some data are sadly missing because of games I couldn’t collect
Top 32 Players' Deckcodes
Source: Source: Metadata of games collected with RiotGames API
Data
Number of (Ranked) matches analyzed 52281 or 104562 games.
Insert Dead Game Memes here. With the previous season too we had a huge drop in the last weak before the new ranked season/set, no reasons to be a dog who barks at the shadows.
Last Update: 2021-10-20 18:29
Note : following my recent analysis the following decks:
Akshan / Sivir (IO/SH)
Sivir / Zed
Akshan / Sivir / Zed
Have been aggregated into a single archetype: “ASZ - Sivir Ionia”
In addition a quick fix to account for the Rubin-baits (burn decks that pretend to be other archetypes) decks have been applied and they are called:
RubinBait - Draven / Ezreal
RubinBait - Draven / Sion
RubinBait - Caitlyn / Draven - not make from Rubin but same logic
| Patch 2.17 - Week 2 - by the Numbers | ||
|---|---|---|
| Characteristic | All Games | Ranked |
| N = 128,2591 | N = 52,2812 | |
| Status | ||
| Other | 72,746 (57%) | |
| Ranked | 52,281 (41%) | |
| Friendly | 3,232 (2.5%) | |
| Server | ||
| americas | 57,073 (44%) | 22,529 (43%) |
| asia | 22,900 (18%) | 8,792 (17%) |
| europe | 48,286 (38%) | 20,960 (40%) |
|
1
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
2
n (%)
|
||
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 | ||||
| Region | Freq | Shard | ||
| America | Asia | Europe | ||
| BandleCity | 20.39% | 20.09% | 21.95% | 20.05% |
| Piltover | 14.22% | 13.91% | 14.19% | 14.55% |
| Noxus | 13.95% | 14.41% | 13.24% | 13.75% |
| ShadowIsles | 10.33% | 10.28% | 11.15% | 10.04% |
| Bilgewater | 8.81% | 9.21% | 9.04% | 8.28% |
| Shurima | 8.27% | 8.79% | 7.26% | 8.12% |
| Freljord | 6.70% | 6.01% | 5.44% | 7.98% |
| MtTargon | 6.12% | 6.45% | 5.38% | 6.07% |
| Demacia | 5.93% | 5.33% | 6.33% | 6.41% |
| Ionia | 5.29% | 5.51% | 6.03% | 4.74% |
| Patch 2.17 - Week 2 Ranked games from 2021-10-13 21:00:00 UTC to 2021-10-20 21:00:00 UTC Metadata of games collected with RiotGames API | ||||
Play Rate by number of Cards
Note: currently all dual region cards have only their main region as possible value assigned. The same problem also apply to the card’s inclusion rates, with Lulu being the most notable case affected by this.
Plot
Table
| Region Play Rate | ||||
|---|---|---|---|---|
| Relative Frequencies by number of times a Card within a Region is included in a Deck | ||||
| Region | Freq | Shard | ||
| America | Asia | Europe | ||
| BandleCity | 24.92% | 24.65% | 26.63% | 24.49% |
| PnZ | 12.69% | 12.32% | 13.36% | 12.80% |
| Noxus | 10.94% | 11.12% | 10.71% | 10.83% |
| ShadowIsles | 10.32% | 10.63% | 9.73% | 10.23% |
| Bilgewater | 9.81% | 10.13% | 9.99% | 9.39% |
| Shurima | 9.20% | 9.78% | 7.90% | 9.12% |
| MtTargon | 6.35% | 6.68% | 5.57% | 6.32% |
| Demacia | 5.45% | 4.96% | 6.04% | 5.74% |
| Ionia | 5.39% | 5.49% | 5.81% | 5.11% |
| Freljord | 4.94% | 4.23% | 4.27% | 5.97% |
| Patch 2.17 - Week 2 Ranked games from 2021-10-13 21:00:00 UTC to 2021-10-20 21:00:00 UTC Metadata of games collected with RiotGames API | ||||
Champions Combinations
Play Rates
Plot
Table
Day by Day
Highlisting the top10 most played decks (at the moment of the last game played).
Win Rates
Tie games are excluded
Meta Decks
Win rates of the most played combination of champions. Play Rate >= 1% in at least one of the servers.
Underdog
Top Win rates of the top10 best performing least played combination of champions. Play rate \(\in\) [0.1%,1%)1
Match Ups
Important: Since Dragons are probably going to be meta again I’m leaving the last MU grid of when they were meta to let anyone check what could be still strong into them. I wanted to display the image but I always have trouble with loading images so to avoid display just an hard to read picture I’m going to leave this button to easily download the grid.