THE META REPORT NAME IS TOO LONG, TOO DAMN LONG (n°23)

Patch 2.15 - Week 1 - A new Rubin meta?

Valentino (Legna) Vazzoler
09-15-2021

Data

Number of (Ranked) matches analyzed 46364 or 92728 games.

Last Update: 2021-09-15 23:03

Note : following my recent analysis the following decks:

Have been aggregated into a single archetype: “ASZ - Sivir Ionia”

In addition a quick fix to account for the Rubin-baits decks hase been applied and they are called:

by the Numbers
Patch 2.15 first week / Master players1,2
Characteristic All Games Ranked
N = 69,6073 N = 46,3644
Status
Ranked 46,364 (67%)
Other 20,718 (30%)
Friendly 1,556 (2.2%)
to Scrap 969 (1.4%)
Server
americas 26,243 (38%) 16,439 (35%)
asia 12,211 (18%) 6,846 (15%)
europe 31,153 (45%) 23,079 (50%)

1 Max datetime recovered: 2021-09-15 18:11:55 UTC from 2021-09-08 21:00:00 to 2021-09-15 21:00:00 UTC

2 EU Master players in the ladder: 365 while number of possible Master players recovered is: 364

NA Master players in the ladder: 386 while number of possible Master players recovered is: 385

ASIA Master players in the ladder: 181 while number of possible Master players recovered is: 181

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 19.91% 20.27% 19.21% 19.86%
Bilgewater 16.85% 15.36% 14.98% 18.46%
Noxus 16.80% 16.56% 15.69% 17.30%
PnZ 12.13% 13.51% 12.13% 11.15%
MtTargon 8.51% 7.24% 7.94% 9.59%
Demacia 6.40% 6.23% 8.83% 5.80%
Shurima 5.58% 7.12% 5.44% 4.52%
ShadowIsles 5.57% 5.74% 4.99% 5.63%
Ionia 4.69% 4.49% 7.01% 4.15%
Freljord 3.55% 3.48% 3.78% 3.53%

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 23.49% 24.42% 23.06% 22.96%
Bilgewater 17.18% 15.78% 16.05% 18.51%
Noxus 13.14% 13.07% 11.63% 13.64%
PnZ 12.30% 13.75% 12.62% 11.17%
MtTargon 9.39% 7.95% 8.50% 10.69%
Shurima 6.45% 8.19% 6.01% 5.33%
Demacia 5.96% 5.80% 7.50% 5.61%
Ionia 4.83% 4.35% 7.40% 4.41%
ShadowIsles 4.29% 4.13% 4.38% 4.38%
Freljord 2.96% 2.55% 2.85% 3.29%

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 : While these are indeed the Match-Ups win-rates that one can extract from last week games I need to point out that 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 MU-page where I use all games with the current sets of buffs and nerfs. While it’s that there I don’t account for optimization and difference in skills acquired during the weeks the overall number of games / sample size makes them a much safer source of information. While I’ll continue to release the weekly data, 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.

Match-up Table

Deck (builder) of the week - RubinZoo Edition

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.

RubinBait - Draven / Ezreal

RubinBait - Draven / Sion

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)

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.

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 BC BW DE FR IO MT NX PZ SH SI
1 Heroic Charge Hunting Fleet Laurent Duelist Shatter Keeper of Masks Sneaky Zeebles Trifarian Shieldbreaker Academy Prodigy Unworthy Scuttlegeist
2 Plunder Poro Mageseeker Inciter Scarmaiden Reaver Nimble Poro Grandfather Rumul Savage Reckoner Hextech Transmogulator Ricochet Sinister Poro
3 Abyssal Guard Plucky Poro Feral Mystic Sown Seeds Resplendent Stellacorn Affectionate Poro Scrapdash Assembly Arise! Tortured Prodigy
4 Succession Icy Yeti Emerald Awakener Fledgling Stellacorn Guile Unlicensed Innovation Destined Poro Overgrown Snapvine
5 Vanguard Lookout Rimetusk Shaman The Empyrean Porofly Arrel the Tracker Eminent Benefactor Waking Sands Encroaching Shadows
6 Reinforcements Caught in the Cold Shadowshift Noxkraya Arena Unstable Voltician Sandstone Chimera Pesky Specter
7 For Demacia! Augur of the Old Ones Swole Squirrel Shrieking Spinner Amateur Aeronaut The Twisted Treeline
8 Vanguard Firstblade Troll Ravager Zinneia, Steel Crescendo Weapons of the Lost Intrepid Mariner Lamb’s Respite
9 Vanguard Cavalry Cold Resistance Coastal Defender Caustic Cask Soulspinner
10 Mageseeker Investigator Ancestral Boon Insightful Investigator Mistkeepers
11 Stalking Broodmother
12 Kadregrin the Infernal
13 Towering Stonehorn

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.


  1. Min number of games 50, during the times a meta/ladder just changed.↩︎

  2. LMI - Early Theory↩︎