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  • Data
  • 1 Regions
    • 1.1 Play Rate
    • 1.2 Play Rate by number of Cards
  • 2 Champions Combinations
    • 2.1 Play Rates
    • 2.2 Day by Day
    • 2.3 Win Rates
  • 3 Match Ups
  • 4 Deck Structure of the week
  • 5 What’s the deal with Akshan/Lee?
  • 6 LoR-Meta Index (LMI)
  • 7 Cards Presence
  • Legal bla bla

Data

Sample population: Ranked games / Patch 2.12 / Master players

Number of games: 57081

  • Games from 2021-07-07 19:00:00 CEST up to 2021-07-14 19:00:00 CEST timezone
  • Max datetime of a match: 2021-07-21 18:37
  • Match Id recovered in patch 2.12: 103006
  • Match metadata recovered in patch 2.12: 98722
  • Match not collectable since friednly matches: 3.2%
  • Match metadata still to collect from 2.12: 930
  • Last update: 2021-07-21 20:20 (UTC)
  • possible games missing because of data collection not running for a few hours a few days ago.

1 Regions

1.1 Play Rate

### Table
Region Play Rate America Asia Europe
Bilgewater 11.26% 11.2% 13.6% 10.2%
Demacia 4.3% 5.3% 3.3% 3.7%
Freljord 6.23% 7.0% 6.1% 5.5%
Ionia 20.43% 20.7% 20.5% 20.1%
MtTargon 2.49% 2.5% 2.9% 2.3%
Noxus 10.18% 9.8% 9.4% 11.0%
PnZ 8.38% 9.1% 7.1% 8.2%
ShadowIsles 11.19% 11.1% 11.5% 11.1%
Shurima 25.55% 23.3% 25.7% 28.0%

1.2 Play Rate by number of Cards

### Table
Region Play Rate America Asia Europe
Bilgewater 11.8% 12.21% 13.71% 10.42%
Demacia 4.87% 5.93% 3.60% 4.30%
Freljord 4.73% 4.81% 5.22% 4.40%
Ionia 21.02% 21.25% 19.70% 21.40%
MtTargon 2.24% 2.28% 2.73% 1.96%
Noxus 9.47% 9.02% 8.91% 10.23%
PnZ 8.47% 8.88% 7.27% 8.60%
ShadowIsles 13.99% 13.77% 14.00% 14.23%
Shurima 23.41% 21.85% 24.86% 24.45%

2 Champions Combinations

2.1 Play Rates

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.


2.2 Day by Day

Highlisting the top10 most played decks (at the moment of the last game played).


2.3 Win Rates

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, against all decks, this week. Play Rate >= 1%

Top Win rates of the least played combination of champions. Play rate [0.1%,1%)1.


3 Match Ups

Just a different way to print the table of the MU grid, more an experimentation

The win rates on the grid are among the 10 most played champion combination.

Filtered cases with less than 100 games


4 Deck Structure of the week

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.

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


5 What’s the deal with Akshan/Lee?

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 = 1,7651 Top100_Master, N = 1,8051
game_outcome 3,570
loss 902 (51%) 879 (49%)
win 863 (49%) 926 (51%)

1 n (%)

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.


6 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.

00.20.40.60.8100.20.40.60.81
0.20.40.60.8LMILoR-Meta Index (LMI)WR IndexFreq Index

7 Cards Presence

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 Jailbreak Dawnspeakers Scarthane Steffen Nimble Poro Wish Trifarian Shieldbreaker Mushroom Cloud Destined Poro
2 Sunk Cost Plucky Poro Entomb Scaled Snapper Fledgling Stellacorn Savage Reckoner Golden Crushbot Sandstone Chimera
3 Wise Fry Redoubled Valor Shadowshift Stargazer Aurok Glinthorn Eminent Benefactor
4 Vanguard Lookout Sleepy Trouble Bubble Hunt the Weak Unstable Voltician
5 Silverwing Diver Wrathful Rider Caustic Cask
6 Noxkraya Arena


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

  2. LMI - Early Theory↩︎