Data

Second week of patch 2.7. Games after 2021-05-12 UTC

Regions’ Frequencies

By number of times a region is chosen

Region Play Rate N
Bilgewater 1.74% 2750
Demacia 8.67% 13726
Freljord 8.59% 13591
Ionia 11.67% 18468
MtTargon 8.35% 13219
Noxus 11.04% 17477
PnZ 8.26% 13080
ShadowIsles 16.76% 26530
Shurima 24.92% 39439

By number of times a card within a region is chosen

Region Play Rate America Asia Europe
Bilgewater 1.56% 2.25% 2.98% 0.81%
Demacia 9.16% 9.23% 10.48% 8.80%
Freljord 9.1% 8.72% 9.30% 9.27%
Ionia 14.81% 13.64% 14.71% 15.53%
MtTargon 8.24% 9.80% 7.55% 7.49%
Noxus 10.42% 11.95% 9.90% 9.64%
PnZ 8.85% 10.24% 8.70% 8.07%
ShadowIsles 19.23% 18.27% 18.38% 20.00%
Shurima 18.63% 15.91% 17.98% 20.38%

Champions’ combinations

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.

Date by date

While I just showed the play rate of the champions of choice are those values the results stable or just the results of the early days with a new set of cards? I’ll now show the play rate obtained day by day. I opted not to show the confidence interval of the estimated play rates but only for this time. each day is colored based on the most frequent combination of champions played and the lines have different color only for the top5 most played ones. I decided to leave all the other and with the same color to give an idea about “the remaining” values.

Win rates

Tie games are excluded

Win rates of the most played combination of champions, against all decks, this week. Cases with less than 1% play rate games are excluded

Underdog(?) win rates

Top Win rates of the least played combination of champions. Min 300 games and a play rate of less than 2% play rate (in this sample)

Most played combination

The win rates on the grid are among the 10 most played champion combination. Match-ups with less than 300 games are not included

Match-up grid

While this is one of the most interesting data for many the results are still heavily affected by the small sample size. They may be the 10 most played combination of champions but it’s still a 100 cell grid. Also, while my approximation for archetypes usually works, this weeks more than usual, two decks are not well reported: Dragons and Azir/Noxus. In these two cases the inclusion of J4 / Garen / Zoe and Draven / Darius create different values for in the end it’s the same deck with just a couple of different card. I already have an idea and part of the code how to solve this but will use it for next week. I could use Dr.LoR approach with bayesian statistics but I want to be consistent with my metholody in order to have a better comparison for my results. Of course I can still make changes in the future if the quality vastly improve with them.

Match-up table

No filter this times because of the small sample size

Deck Structure of the week

This week I choose to show how the Matron / Cithria decks are made.

How to read the table:

Matron / Cithria

Cards’ presence

Most played cards

Top 3 most used cards within each Region


    • Ranked games / Patch 2.7 / Master players & Top32 players from the latest Seasonal tournament

    • Last update: 2021-05-19 08:16 (UTC)

    • EU Master players in the ladder: 15 while the number of Master players I recovered from matches is: 272 so missing: -257

    • NA Master players in the ladder: 29 while the number of Master players I recovered from matches is: 229 so missing: -200

    • ASIA Master players in the ladder: 7 while the number of Master players I recovered from matches is: 86 so missing: -79

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