Data
Number of (Ranked) matches analyzed 49005 or 98010 games.
Last Update: 2021-09-22 20:07
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
New: RubinBait - BandleBurn - not make from Rubin but same logic
| by the Numbers | ||
|---|---|---|
| Patch 2.15 second week / Master players1,2 | ||
| Characteristic | All Games | Ranked |
| N = 83,0663 | N = 49,0054 | |
| Status | ||
| Ranked | 49,005 (59%) | |
| Other | 32,124 (39%) | |
| Friendly | 1,937 (2.3%) | |
| Server | ||
| americas | 34,745 (42%) | 20,997 (43%) |
| asia | 18,862 (23%) | 11,564 (24%) |
| europe | 29,459 (35%) | 16,444 (34%) |
|
1
Max datetime recovered: 2021-09-22 15:50:59 UTC from 2021-09-15 21:00:00 to 2021-09-22 21:00:00 UTC
2 EU Master players in the ladder: 558 while number of possible Master players recovered is: 552 NA Master players in the ladder: 611 while number of possible Master players recovered is: 609 ASIA Master players in the ladder: 268 while number of possible Master players recovered is: 268
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
4
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 | 24.48% | 24.50% | 22.82% | 25.63% |
| Noxus | 16.63% | 16.79% | 16.94% | 16.23% |
| PnZ | 12.72% | 12.85% | 14.06% | 11.61% |
| Bilgewater | 11.80% | 12.26% | 11.42% | 11.46% |
| ShadowIsles | 8.37% | 7.44% | 8.02% | 9.81% |
| MtTargon | 6.50% | 6.66% | 5.90% | 6.71% |
| Demacia | 6.00% | 5.94% | 7.13% | 5.29% |
| Shurima | 5.19% | 5.42% | 4.31% | 5.51% |
| Freljord | 4.40% | 4.05% | 4.62% | 4.69% |
| Ionia | 3.91% | 4.10% | 4.79% | 3.05% |
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 | 28.70% | 29.03% | 26.65% | 29.71% |
| Noxus | 13.14% | 13.10% | 13.58% | 12.87% |
| PnZ | 12.76% | 12.79% | 14.33% | 11.62% |
| Bilgewater | 12.64% | 12.97% | 12.34% | 12.43% |
| MtTargon | 7.06% | 7.35% | 6.37% | 7.16% |
| ShadowIsles | 6.58% | 5.74% | 6.78% | 7.51% |
| Shurima | 5.81% | 5.89% | 4.79% | 6.41% |
| Demacia | 5.56% | 5.50% | 6.61% | 4.92% |
| Ionia | 4.11% | 4.22% | 5.07% | 3.30% |
| Freljord | 3.65% | 3.41% | 3.49% | 4.07% |
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
Note : 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, pls refer to the MU - page for a better “meta-investigation”.
Match-up Grid
The win rates on the grid are among the 15 most played champion combination.
MatchUps | Akshan / Sivir (DE/SH) | Caitlyn / Draven | Draven / Sion (NX/PZ) | Ezreal / Vi (BC/PZ) | Fizz / Poppy (BC/NX) | Gangplank / Sejuani | Gangplank / Twisted Fate (BC/BW) | Lulu / Poppy (BC/DE) | Lulu / Poppy (DE/IO) | Nami / Zoe | Poppy / Zed (DE/IO) | Poppy / Ziggs (BC/NX) | Pyke / Rek'Sai | Senna / Veigar (BC/SI) | Trundle / Tryndamere (FR/SI) |
Akshan / Sivir (DE/SH) | 52% | 29% | 71% | 53% | 47% | 53% | 45% | 51% | 55% | 57% | 33% | 49% | 65% | 79% | |
Caitlyn / Draven | 53% | 22% | 42% | 46% | 41% | 29% | 66% | 75% | 48% | 59% | 39% | 44% | 37% | 41% | |
Draven / Sion (NX/PZ) | 71% | 77% | 57% | 58% | 52% | 51% | 66% | 53% | 35% | 63% | 69% | 65% | 49% | 52% | |
Ezreal / Vi (BC/PZ) | 29% | 59% | 43% | 38% | 32% | 37% | 48% | 68% | 52% | 60% | 38% | 37% | 47% | 37% | |
Fizz / Poppy (BC/NX) | 47% | 53% | 42% | 62% | 57% | 33% | 40% | 58% | 47% | 52% | 48% | 59% | 75% | 68% | |
Gangplank / Sejuani | 53% | 57% | 48% | 68% | 43% | 51% | 42% | 47% | 49% | 43% | 37% | 66% | 60% | 55% | |
Gangplank / Twisted Fate (BC/BW) | 47% | 70% | 49% | 63% | 67% | 49% | 56% | 55% | 38% | 48% | 51% | 63% | 43% | 33% | |
Lulu / Poppy (BC/DE) | 55% | 32% | 34% | 52% | 60% | 58% | 44% | 46% | 63% | 51% | 39% | 50% | 65% | 58% | |
Lulu / Poppy (DE/IO) | 49% | 30% | 47% | 32% | 42% | 53% | 45% | 54% | 67% | 54% | 42% | 69% | 72% | 44% | |
Nami / Zoe | 45% | 52% | 65% | 48% | 53% | 51% | 62% | 37% | 33% | 34% | 40% | 53% | 42% | 51% | |
Poppy / Zed (DE/IO) | 43% | 40% | 37% | 40% | 48% | 57% | 52% | 49% | 46% | 66% | 41% | 61% | 61% | 47% | |
Poppy / Ziggs (BC/NX) | 67% | 60% | 31% | 62% | 52% | 63% | 49% | 61% | 58% | 60% | 59% | 64% | 57% | 50% | |
Pyke / Rek'Sai | 51% | 54% | 35% | 63% | 41% | 34% | 37% | 50% | 31% | 47% | 39% | 36% | 56% | 58% | |
Senna / Veigar (BC/SI) | 35% | 64% | 51% | 53% | 25% | 40% | 57% | 35% | 28% | 58% | 39% | 43% | 44% | 61% | |
Trundle / Tryndamere (FR/SI) | 21% | 62% | 49% | 63% | 32% | 45% | 67% | 42% | 56% | 49% | 53% | 50% | 42% | 39% |
Match-up Table
Deck (builder) of the week - by ImpetousPanda
As I added a section dedicated to decks’ information which includes Meta and Underdog decks this section can be dedicated to more obscure decks are peculiar cases. And this weeks it is impossible not to consider the new meta-impact from RubinZoo with his bait-decks.
Sunfolk Invoke
This week I wanted to highlight the power of social-media / influencers on play-rates.
This is just an example but I’m planning on doing an analysis that tries to follows the release of videos/tweets from peoples like Swim, Mogwai, Grapplr, Silverfuse (so more the content creator, so, no top players like MajiinBae, that’s for another analysis )
To do this, let’s start with the deck chosen for this week: the Sunfolk Invoke by by ImpetousPanda.
💫☀️🐚 SUNFOLK INVOKE 🐚☀️💫
— David Nolskog (@ImpetuousPanda) September 20, 2021
Is this deck refined? No.
Is this deck good? Possibly not.
Can this deck be good? There's a chance, yes.
🌞Become one with the sun. 🌞
⚠️Refine at your own risk.⚠️ pic.twitter.com/i7nJ2Pz7uB
He posted this tweet at 2021-09-20 15:33, how many games were played during this week but before the tweet? not many, just 8.
What is the number AFTER the tweet? 20
No matter how it looks, as the creator himself is not included in the counting there is no deny that there seems to be a correlation between the number of games played following the tweet, inspiring people to try it, even if it was only one who spammed it (just partially, this case) and it’s safe to assume to say it’s not just a correlation but a causal effect.
Again, this is more playing with the data, what follows are the usual deck structures and most played deckcodes (by server)
Deckcodes
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
LoR-Meta Index (LMI)
New: added a Tier classification of decks based on their LMI value. This is more experimental and not as strict as a result of one of my analysis (in this case it’s a first glimpse to the distribution of the LMI values). The classification is as follows:
Tier0 with LMI >= 97.5
Tier1 with LMI \(\in\) [85,97.5)
Tier2 with LMI \(\in\) [60,85)
Tier3 or lower with LMI < 60
This method will be improved in the next weeks, maybe adding the ban rate which can be extracted from Gauntlet and Bo3 Friendly Matches.
The LMI 2 3 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.
Cards Presence
Play Rate
It seems that not even Twin Disciple can beat Sharsight
Top 3 Play Rates by Region
Forgotten Cards
Cards that couldn’t find place even in a meme deck.
| Region | BW | DE | FR | IO | MT | NX | PZ | SH | SI |
| 1 | Hunting Fleet | Redoubled Valor | Iceborn Legacy | Nimble Poro | Sneaky Zeebles | Shiraza the Blade | Academy Prodigy | Arise! | Sinister Poro |
| 2 | Scrapshot | Vanguard Lookout | Sown Seeds | Crystal Ibex | Trifarian Shieldbreaker | Back Alley Barkeep | Destined Poro | Tortured Prodigy | |
| 3 | Bayou Brunch | En Garde | Shadow Flare | Fledgling Stellacorn | Crimson Aristocrat | Midenstokke Henchmen | Waking Sands | The Etherfiend | |
| 4 | Vanguard Cavalry | Zephyr Sage | Porofly | Savage Reckoner | Unlicensed Innovation | Sandstone Chimera | |||
| 5 | Silverwing Diver | Ritual of Renewal | Sumpsnipe Scavenger | ||||||
| 6 | Kadregrin the Infernal | Insight of Ages | Amateur Aeronaut | ||||||
| 7 | Yusari | Vault Breaker | |||||||
| 8 | The Empyrean | The University of Piltover | |||||||
| 9 | Solitary Monk | ||||||||
| 10 | Shadowshift | ||||||||
| 11 | Scales of the Dragon | ||||||||
| 12 | Swole Squirrel | ||||||||
| 13 | Zinneia, Steel Crescendo | ||||||||
| 14 | Coastal Defender |
Legal bla bla
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.↩︎