Last week of Rise of the Underworld

Valentino (Legna) Vazzoler


Number of (Ranked) games analyzed: 45402

Last Update: 2021-08-26 16:28 1

by the Numbers
Patch 2.13 first week / Master players1,2
Characteristic N = 107,6093
Other 58,682 (55%)
Ranked 45,402 (42%)
Friendly 3,525 (3.3%)
americas 53,369 (50%)
asia 10,044 (9.3%)
europe 44,196 (41%)

1 Max datetime recovered: 2021-08-25 14:45:46 UTC from 2021-08-18 21:00:00 to 2021-08-25 21:00:00 UTC

2 EU Master players in the ladder: 0 while number of possible Master players recovered is: 0

NA Master players in the ladder: 1 while number of possible Master players recovered is: 0

ASIA Master players in the ladder: 1 while number of possible Master players recovered is: 1

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


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
Shurima 18.56% 18.61% 22.02% 17.61%
Ionia 14.10% 14.61% 15.75% 13.07%
Bilgewater 13.14% 13.06% 11.93% 13.56%
Demacia 11.98% 11.16% 13.65% 12.56%
Noxus 9.75% 10.44% 7.10% 9.58%
Freljord 9.73% 8.38% 10.01% 11.30%
ShadowIsles 9.09% 8.96% 8.97% 9.27%
PnZ 9.01% 9.98% 7.51% 8.21%
MtTargon 4.64% 4.81% 3.05% 4.83%

Play Rate by number of Cards



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 19.16% 19.00% 23.23% 18.31%
Bilgewater 15.71% 15.14% 13.97% 16.85%
Ionia 14.89% 15.51% 16.76% 13.66%
Demacia 10.83% 10.10% 11.93% 11.44%
PnZ 9.51% 10.52% 7.80% 8.71%
ShadowIsles 9.46% 9.36% 9.24% 9.65%
Noxus 8.90% 9.53% 6.54% 8.73%
Freljord 7.10% 6.19% 7.72% 8.04%
MtTargon 4.44% 4.64% 2.82% 4.61%

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%)2

Looking at this week results it’s clear most of these decks can be grouped as ‘Plunder’ decks. I’m working on it, but I’m still far from reaching a quality of the results that satisfy me.

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 Structure of the week

Maokai / Viego / ver.Ionia

Maokai / Viego / ver.Shruima

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 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 Demacia Ionia PnZ ShadowIsles
1 Silverwing Diver Nimble Poro Unstable Voltician Sinister Poro
2 Stalking Broodmother Sown Seeds Tortured Prodigy
3 Shadow Flare

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. Reminding that while I may collect the ‘list of all games-id’ played in a certain timeframe I can only collect all their metadata several hours later. So after the first release the numbers may be updated later during the week, be it for the sake of updating or modifying some code.↩︎

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

  3. LMI - Early Theory↩︎