Data

The first week of the new expansion is almost over and data are finally piling up. I expect many value to change by the end of this patch but it’s still a good thing to get a look of the current situation.

Regions’ Frequencies

By number of times a region is chosen

Region Play Rate N
Bilgewater 2.29% 808
Demacia 7.44% 2620
Freljord 8.96% 3154
Ionia 9.75% 3433
MtTargon 8.79% 3097
Noxus 13.55% 4773
PnZ 11.94% 4205
ShadowIsles 14.32% 5043
Shurima 22.96% 8085

By number of times a card within a region is chosen

Region Play Rate America Asia Europe
Bilgewater 2.03% 1.81% 2.07% 2.22%
Demacia 7.58% 7.92% 9.62% 6.59%
Freljord 9.7% 8.38% 13.12% 9.80%
Ionia 12.49% 11.54% 12.02% 13.51%
MtTargon 8.99% 10.35% 9.65% 7.51%
Noxus 12.87% 11.75% 15.24% 13.14%
PnZ 12.99% 12.95% 13.61% 12.82%
ShadowIsles 15.93% 17.67% 8.74% 16.66%
Shurima 17.43% 17.63% 15.93% 17.74%

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

Bandwagon train

Azir / Irelia is the most popular toys of the moment, let me show you how those decks are mode of:

Remember that the most common choice doesn’t trasnlate to best WR.

How to read the table:

Azir / Irelia

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: 2021-05-12 13:12 (UTC)

    • EU Master players in the ladder: 15 while the number of Master players I recovered from matches is: 58 so missing: -43

    • NA Master players in the ladder: 29 while the number of Master players I recovered from matches is: 53 so missing: -24

    • ASIA Master players in the ladder: 7 while the number of Master players I recovered from matches is: 19 so missing: -12

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