First week of patch 2.12 / Ruination Event.
Number of (Ranked) games analyzed: 58568
by the Numbers | |
---|---|
Patch 2.13 first week / Master players1,2 | |
Characteristic | N = 108,7163 |
Status | |
Ranked | 58,568 (54%) |
Other | 31,917 (29%) |
to Scrap | 9,962 (9.2%) |
Friendly | 8,269 (7.6%) |
Server | |
americas | 55,315 (51%) |
asia | 17,841 (16%) |
europe | 35,560 (33%) |
1
Max datetime recovered: 2021-07-21 20:59:53.7871 UTC from 2021-07-14 21:00:00 to 2021-07-21 21:00:00 UTC
2 EU Master players in the ladder: 918 while number of possible Master players recovered is: 916 NA Master players in the ladder: 1042 while number of possible Master players recovered is: 1045 ASIA Master players in the ladder: 394 while number of possible Master players recovered is: 395
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
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Note: While I’ll use the site more, some may prefer the format I use in RPubs (mainly the better toc) so I’ll try to also create an RPub version or provide more tools / pages for an easier search of the data.
Region Play Rate | ||||
---|---|---|---|---|
Relative Frequencies by Inclusion Rate of a Region | ||||
Region | Freq | Shard | ||
America | Asia | Europe | ||
Shurima | 25.44% | 23.17% | 25.67% | 27.86% |
Ionia | 20.46% | 20.70% | 20.49% | 20.18% |
Bilgewater | 11.32% | 11.29% | 13.59% | 10.28% |
ShadowIsles | 11.12% | 11.10% | 11.44% | 10.99% |
Noxus | 10.25% | 9.85% | 9.47% | 11.07% |
PnZ | 8.42% | 9.13% | 7.06% | 8.27% |
Freljord | 6.22% | 6.97% | 6.10% | 5.45% |
Demacia | 4.29% | 5.28% | 3.32% | 3.65% |
MtTargon | 2.48% | 2.52% | 2.85% | 2.25% |
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 | ||
Shurima | 23.32% | 21.74% | 24.87% | 24.34% |
Ionia | 21.05% | 21.27% | 19.71% | 21.45% |
ShadowIsles | 13.88% | 13.69% | 13.96% | 14.05% |
Bilgewater | 11.89% | 12.37% | 13.73% | 10.48% |
Noxus | 9.53% | 9.07% | 8.93% | 10.34% |
PnZ | 8.52% | 8.89% | 7.27% | 8.70% |
Demacia | 4.86% | 5.91% | 3.60% | 4.28% |
Freljord | 4.71% | 4.79% | 5.20% | 4.38% |
MtTargon | 2.24% | 2.28% | 2.72% | 1.96% |
In this section I provide the play rate of which combinations of champions (plus the regions) are used in a deck. The champions showed right before a game starts for example. Right now it’s a simple approximation of the archetypes played in the ladder as such information is not restrictive enough.
Highlisting the top10 most played decks (at the moment of the last game played).
Tie games are excluded
Update: Since I’m tidying the code and site it would be better to better define some rules and one of them is the criteria I use for displaying “Meta decks” Win Rates and “Underdogs” Win Rates. Defining “Meta decks” as everything above 1% Play Rate seems fine and it’s also used by other analyst. “Underdog” decks are less obvious, surely they needs to be below 1% but with with which condition to be eligible? Aside for a positive Win Rate of course. If they are “Underdog” they probably can’t be too many so in the report I opted to show as “Underdog” decks the top10 decks (by Win Rate) with Play Rate in [0.1%,1%)
Win rates of the most played combination of champions. Play Rate >= 1%
Top Win rates of the least played combination of champions. Play rate \(\in\) [0.1%,1%)1.
Just a different way to print the table of the MU grid, more an experimentation
MatchUps | Akshan / Lee Sin | Akshan / Sivir (IO/SH) | Azir / Irelia | Draven / Jinx | Gangplank / Miss Fortune (BW/NX) | Gangplank / Sejuani | Nasus / Viego | Pyke / Rek'Sai | Sivir / Zed | Viego (SI/SH) |
Akshan / Lee Sin | 45% | 32% | 47% | 52% | 41% | 44% | 46% | 39% | 44% | |
Akshan / Sivir (IO/SH) | 55% | 54% | 46% | 48% | 49% | 59% | 60% | 44% | 62% | |
Azir / Irelia | 68% | 46% | 26% | 32% | 61% | 57% | 48% | 50% | 65% | |
Draven / Jinx | 53% | 54% | 74% | 64% | 50% | 62% | 61% | 63% | 56% | |
Gangplank / Miss Fortune (BW/NX) | 48% | 52% | 68% | 36% | 53% | 42% | 56% | 53% | 53% | |
Gangplank / Sejuani | 59% | 51% | 39% | 50% | 47% | 44% | 57% | 50% | 59% | |
Nasus / Viego | 56% | 41% | 43% | 38% | 58% | 56% | 48% | 39% | 47% | |
Pyke / Rek'Sai | 54% | 40% | 52% | 39% | 44% | 43% | 52% | 43% | 60% | |
Sivir / Zed | 61% | 56% | 50% | 37% | 47% | 50% | 61% | 57% | 54% | |
Viego (SI/SH) | 56% | 38% | 35% | 44% | 47% | 41% | 53% | 40% | 46% |
The win rates on the grid are among the 10 most played champion combination.
Filtered cases with less than 100 games
Akshan? Viego? Akshan Lee? Those are all boring choices and don’t need any help to add more spice to the meta. This week I wasn’t sure what to choose but then I saw a strange combination with “Sivir / Twisted Fate” so I guess this is what I’ll highlist.
Update: Modified the color to be more uniform with the rest of the report and site.
How to read the table:
- Play rate: How often a card is included in this class of decks / the table is order by this column.
- 3/2/1 is the relative and absolute frequency of the number of copies in the decks that plays them
- Frequencies from 50% to 100% are colored from shades of green to white to identify more easily the highest values
When discussing about the performance about Akshan / Lee Sin decks a player told me that even in Master there’s a difference in performance from top players compared to the others so I decided to take a little look at the data.
Characteristic | N | notTop100_Master, N = 2,1861 | Top100_Master, N = 1,8441 |
---|---|---|---|
game_outcome | 4,030 | ||
loss | 1,143 (52%) | 916 (50%) | |
win | 1,043 (48%) | 928 (50%) | |
1
n (%)
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At a first look it seems that there’s indeed a difference and the top100 players are indeed better. But why? I opted to look at their “mastery” with the deck
From here it seems that “one of” the reasons why there’s a difference is also because of the dedication to play the deck that rewards dedication. How much is probably overestimated for the top100 and underestimated because of the few points for the other Masters players.
The conclusion? Well, I guess it can differ for different point of views. Indeed maybe Akshan/Lee is not as bad as it looks at first glance but one may also ask if it’s worth the time since it’s performance on the ladder is still mediocre but if it’s done while aiming at tournaments again it’s another context. You (players) decide.
The LMI 2 is an Index I developed to measure the performance of decks in the metagame. For those who are familiar with basic statistical concept I wrote a document to explain the theory behind it: , it’s very similar to vicioussyndicate (vS) Meta Score from their data reaper report. The score of each deck is not just their “strength”, it takes in consideration both play rates and win rates that’s why I prefer to say it measure the “performance”. The values range from 0 to 100 and the higher the value, the higher is the performance.
Twin Disciplines is closing in against Sharpsight! Will be able to see a new top auto-include?
Cards that couldn’t find place even in a meme deck.
Region | Bilgewater | Demacia | Freljord | Ionia | MtTargon | Noxus | PnZ | Shurima |
1 | Sunk Cost | Dawnspeakers | Scarthane Steffen | Nimble Poro | Wish | Trifarian Shieldbreaker | Mushroom Cloud | Destined Poro |
2 | Wise Fry | Plucky Poro | Entomb | Scaled Snapper | Fledgling Stellacorn | Savage Reckoner | Golden Crushbot | |
3 | Vanguard Lookout | Shadowshift | Stargazer | Aurok Glinthorn | Eminent Benefactor | |||
4 | Silverwing Diver | Sleepy Trouble Bubble | Hunt the Weak | Unstable Voltician | ||||
5 | Wrathful Rider | Caustic Cask | ||||||
6 | Noxkraya Arena |
This Meta Report was created under Riot Games’ “Legal Jibber Jabber” policy using assets owned by Riot Games. Riot Games does not endorse or sponsor this project.
Min number of games 50, during the times a meta/ladder just changed.↩︎