Patch 2.16 - Week 1 - Burn Meta Burn!

Valentino (Legna) Vazzoler


Number of (Ranked) matches analyzed 58325 or 116650 games.

Last Update: 2021-09-30 07:33

New: as the Poppy Ziggs it’s pretty much in it’s entirely a burn deck, it not’ called a RubinBait deck as there is no “no-burn” version.

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 (burn decks that pretend to be other archetypes) decks have been applied and they are called:

by the Numbers
Patch 2.16 first week / Master players1,2
Characteristic All Games Ranked
N = 108,8723 N = 58,3254
Ranked 58,325 (54%)
Other 47,350 (43%)
Friendly 3,197 (2.9%)
americas 46,444 (43%) 24,760 (42%)
asia 20,879 (19%) 12,225 (21%)
europe 41,549 (38%) 21,340 (37%)

1 Max datetime recovered: 2021-09-29 20:59:46 UTC from 2021-09-22 21:00:00 to 2021-09-29 21:00:00 UTC

2 EU Master players in the ladder: 783 while number of possible Master players recovered is: 783

NA Master players in the ladder: 861 while number of possible Master players recovered is: 859

ASIA Master players in the ladder: 357 while number of possible Master players recovered is: 356

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 (%)


Play Rate


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.


Region Play Rate
Relative Frequencies by Inclusion Rate of a Region
Region Freq Shard
America Asia Europe
BandleCity 24.01% 23.58% 22.49% 25.39%
Noxus 17.78% 17.02% 19.64% 17.59%
PnZ 12.72% 12.07% 15.92% 11.65%
Bilgewater 10.66% 11.71% 9.65% 10.02%
ShadowIsles 8.02% 7.80% 7.39% 8.64%
MtTargon 6.20% 6.21% 6.26% 6.15%
Shurima 6.18% 6.68% 4.89% 6.35%
Demacia 6.07% 5.93% 5.77% 6.41%
Freljord 4.66% 4.91% 4.32% 4.58%
Ionia 3.68% 4.09% 3.66% 3.23%

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.



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 28.97% 28.58% 27.12% 30.48%
Noxus 13.79% 12.75% 16.32% 13.54%
PnZ 12.58% 11.95% 15.85% 11.44%
Bilgewater 11.72% 13.01% 10.51% 10.92%
Shurima 6.89% 7.33% 5.42% 7.23%
MtTargon 6.61% 6.62% 6.67% 6.56%
ShadowIsles 6.57% 6.26% 6.26% 7.10%
Demacia 5.60% 5.53% 5.12% 5.95%
Freljord 3.67% 3.90% 3.08% 3.73%
Ionia 3.61% 4.06% 3.65% 3.05%

Champions Combinations

Play Rates



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.


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.

Match-up Table

Decks of the week

This week deck choice is fulfilling a promise I did on Reddit

As cards are released quite frequently it’s obvious that some decks takes a seat back, sometimes because of power-creep, but sometimes, people just don’t have the time and want to focus on the new toys.

With the release of BandleCity while there are of course some top-tier deck that are above the rest I don’t think I’m in the minority by saying this is overall an healthy meta with lots and lots of option.

This week I want to highlight something old, maybe so old that may result fresh for some players: Lucian / Zed

With a respectable win rate of 58.5% (even accounting the small sample size), this wants to be a reminder that are often forgotten options are still worth exploring.

Note: I’m not Master but I’m currently having fun and discrete success with Nightfall, for the lower ranks like me my message this week is: “Play your deck and have fun! This is a good moment to let your deck building prowess carry you.”

Lucian / Zed


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:

This method will be improved in the next weeks, maybe adding the ban rate which can be extracted from Gauntlet and Bo3 Friendly Matches.

Note:Hovering over a circle will display a deck values.

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.

Win Marathons Leaders

New: Top3 Players (or more in case of ties) from each server that had the highest amount of consecutive wins with the same archetype. The provided deckcode is the one played in the last win found.

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.

1 Keeper’s Verdict Scrapshot Vanguard Firstblade Avarosan Marksman Nimble Poro Porofly Savage Reckoner Hextech Transmogulator Destined Poro Iron Harbinger
2 Bayou Brunch Vanguard Cavalry Stalking Wolf Sown Seeds Arrel the Tracker Midenstokke Henchmen Sandstone Chimera The Etherfiend
3 Boomship Silverwing Diver Feral Mystic Ritual of Renewal Wrathful Rider Scrapdash Assembly
4 Wise Fry Towering Stonehorn Scales of the Dragon Unlicensed Innovation
5 Trevor Snoozebottom Unstable Voltician
6 Coastal Defender Intrepid Mariner
7 Adaptatron 3000

Legal bla bla

This content 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↩︎

  3. LMI - Adding a Ban Index↩︎