THE META REPORT NAME IS TOO LONG, TOO DAMN LONG (n°61)

Patch 3.8 - Week 2 - The Meta Report that knows better than the Game Director!

Valentino (Legna) Vazzoler
06-08-2022

Data

Number of (Prev) Seasonal Players used: 2415

Number of (Ranked) matches analysed 127058 or 254116 games.

Last Update: 2022-06-08 21:27

Games

Patch 3.8 - Week 2 - by the Numbers1
Characteristic All Games2 Ranked2
N = 211,1723 N = 127,0583
Status
Ranked 127,058 (60%)
ThePathOfChampions 57,966 (27%)
Other 23,353 (11%)
Friendly Bo3 2,795 (1.3%)
Server
Americas 83,032 (39%) 48,201 (38%)
Apac 56,173 (27%) 32,879 (26%)
Europe 71,967 (34%) 45,978 (36%)
1 Max datetime recovered: 2022-06-08 17:59:57.999166 UTC from 2022-06-01 18:00:00 to 2022-06-08 18:00:00 UTC
2 Games from 2415 players who attended the previous Seasonal Tournament As the API is currently bugged there is lack of games from the EU server since the 31th of May
3 n (%)

Account

Shard/Server Total
Americas Apac Europe
Player Rank
Seasonal 946 (39%) 653 (27%) 816 (34%) 2,415 (100%)
Total 946 (39%) 653 (27%) 816 (34%) 2,415 (100%)

Regions

Play Rate

Plot

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.

Table

Region Play Rate
Relative Frequencies by Inclusion Rate of a Region
Freq Shard
America Apac Europe
Regions
Noxus 17.26% 15.93% 17.95% 18.17%
ShadowIsles 12.21% 12.17% 12.87% 11.78%
Piltover 10.86% 10.62% 10.87% 11.11%
Shurima 10.21% 10.70% 11.26% 8.94%
Demacia 8.60% 8.69% 8.48% 8.60%
Freljord 8.19% 8.46% 8.51% 7.69%
Bilgewater 8.14% 8.75% 8.37% 7.34%
MtTargon 6.38% 6.89% 6.25% 5.93%
BandleCity 4.21% 4.45% 4.24% 3.94%
Ionia 4.11% 4.13% 3.46% 4.54%
Runeterra
Bard 6.29% 6.07% 4.87% 7.54%
Jhin 3.54% 3.14% 2.88% 4.42%
total 9.82% 9.21% 7.75% 11.96%
Patch 3.8 - Week 2 Ranked games from 2022-06-01 18:00:00 UTC to 2022-06-08 18:00:00 UTC Source: Metadata of games collected with RiotGames API Last Update: 2022-06-08 19:25:36.19328

Play Rate by number of Cards

Plot

Table

Region Play Rate
Relative Frequencies by number of times a Card within a Region is included in a Deck
Freq Shard
America Apac Europe
Regions
Noxus 14.86% 14.01% 15.29% 15.45%
ShadowIsles 12.32% 12.01% 13.47% 11.84%
Piltover 11.59% 11.63% 11.22% 11.81%
Shurima 11.48% 11.85% 12.75% 10.18%
Demacia 10.24% 10.34% 9.87% 10.39%
Freljord 8.46% 8.66% 8.45% 8.26%
Bilgewater 8.00% 8.59% 8.06% 7.33%
Runeterra 7.53% 6.86% 6.08% 9.25%
MtTargon 6.03% 6.52% 5.77% 5.70%
Ionia 5.04% 4.90% 4.20% 5.78%
BandleCity 4.46% 4.63% 4.85% 4.00%
Patch 3.8 - Week 2 Ranked games from 2022-06-01 18:00:00 UTC to 2022-06-08 18:00:00 UTC Source: Metadata of games collected with RiotGames API Last Update: 2022-06-08 19:25:36.19328

Champions Combinations

Play Rates

Plot

Table

Source: Metadata of games collected with RiotGames API. Last Update: 2022-06-08 19:28:34.660805 FALSE

Day by day

Stacked Playrates

Each playrate is stacked upon the other with the decks with the highest overall play-rate (the written value) being at the bottom.

Stacked Playrates

Game by game

An “updated” version of the old format. I don’t really find it useful (a bit cool, but not useful) and still most likely leave it

It display both daily aggregated data and hourly (background) data

Win Rates

Meta Decks

Win rates of the most played combination of champions. Play Rate \(\geq 1\%\) in at least one of the servers.

Format changed to replicate the one used in the Meta - page

Underdog

Top Win rates of the top10 best performing least played combination of champions. Play rate \(\in [0.1%, 1%)\)

Match Ups

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, please refer to the MU - page for a better “meta-investigation”.

Match-up Grid

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

Camavoran Deserter Lissandra/Taliyah (FR/SH) Annie/Jhin (NX/RU) Annie/Ezreal (NX/PZ) Bard/Galio (DE/RU) Bard/Zed (IO/RU) Illaoi/Jarvan IV (BW/DE) Aphelios/Zoe (MT/PZ) Maokai/Nautilus (BW/SI) Pyke/Rek'Sai (BW/SH)
Camavoran Deserter
NA
NA
52.2%
(50.1% - 54.3%)
55.6%
(53.0% - 58.1%)
42.2%
(39.0% - 45.3%)
54.2%
(50.6% - 57.7%)
55.0%
(51.5% - 58.4%)
63.8%
(60.3% - 67.1%)
45.8%
(41.8% - 49.9%)
55.3%
(51.3% - 59.1%)
56.4%
(52.1% - 60.6%)
Lissandra/Taliyah (FR/SH)
47.8%
(45.7% - 49.9%)
NA
NA
37.0%
(34.3% - 39.7%)
65.5%
(62.2% - 68.6%)
57.4%
(54.0% - 60.7%)
54.9%
(51.1% - 58.7%)
37.9%
(34.4% - 41.6%)
69.0%
(65.1% - 72.8%)
57.0%
(52.6% - 61.3%)
46.5%
(42.2% - 50.8%)
Annie/Jhin (NX/RU)
44.4%
(41.9% - 47.0%)
63.0%
(60.3% - 65.7%)
NA
NA
42.0%
(37.9% - 46.1%)
39.5%
(35.4% - 43.7%)
60.8%
(56.6% - 64.8%)
42.1%
(37.7% - 46.7%)
34.3%
(29.3% - 39.6%)
51.2%
(46.0% - 56.3%)
51.5%
(46.0% - 56.8%)
Annie/Ezreal (NX/PZ)
57.8%
(54.7% - 61.0%)
34.5%
(31.4% - 37.8%)
58.0%
(53.9% - 62.1%)
NA
NA
37.9%
(32.4% - 43.6%)
58.5%
(53.3% - 63.6%)
48.3%
(42.7% - 53.9%)
41.4%
(35.4% - 47.7%)
43.0%
(36.6% - 49.7%)
58.2%
(51.6% - 64.6%)
Bard/Galio (DE/RU)
45.8%
(42.3% - 49.4%)
42.6%
(39.3% - 46.0%)
60.5%
(56.3% - 64.6%)
62.1%
(56.4% - 67.6%)
NA
NA
51.5%
(45.6% - 57.4%)
53.7%
(47.4% - 59.9%)
57.4%
(51.5% - 63.2%)
57.7%
(50.4% - 64.8%)
54.3%
(47.3% - 61.2%)
Bard/Zed (IO/RU)
45.0%
(41.6% - 48.5%)
45.1%
(41.3% - 48.9%)
39.2%
(35.2% - 43.4%)
41.5%
(36.4% - 46.7%)
48.5%
(42.6% - 54.4%)
NA
NA
51.2%
(45.4% - 56.9%)
39.7%
(32.8% - 46.9%)
47.4%
(40.9% - 54.0%)
54.2%
(46.6% - 61.7%)
Illaoi/Jarvan IV (BW/DE)
36.2%
(32.9% - 39.7%)
62.1%
(58.4% - 65.6%)
57.9%
(53.3% - 62.3%)
51.7%
(46.1% - 57.3%)
46.3%
(40.1% - 52.6%)
48.8%
(43.1% - 54.6%)
NA
NA
47.9%
(40.2% - 55.7%)
57.8%
(51.1% - 64.4%)
46.7%
(39.6% - 53.9%)
Aphelios/Zoe (MT/PZ)
54.2%
(50.1% - 58.2%)
31.0%
(27.2% - 34.9%)
65.7%
(60.4% - 70.7%)
58.6%
(52.3% - 64.6%)
42.6%
(36.8% - 48.5%)
60.3%
(53.1% - 67.2%)
52.1%
(44.3% - 59.8%)
NA
NA
54.0%
(45.3% - 62.4%)
63.0%
(54.8% - 70.6%)
Maokai/Nautilus (BW/SI)
44.7%
(40.9% - 48.7%)
43.0%
(38.7% - 47.4%)
48.8%
(43.7% - 54.0%)
57.0%
(50.3% - 63.4%)
42.3%
(35.2% - 49.6%)
52.6%
(46.0% - 59.1%)
42.2%
(35.6% - 48.9%)
46.0%
(37.6% - 54.7%)
NA
NA
45.3%
(36.9% - 54.0%)
Pyke/Rek'Sai (BW/SH)
43.6%
(39.4% - 47.9%)
53.5%
(49.2% - 57.8%)
48.5%
(43.2% - 54.0%)
41.8%
(35.4% - 48.4%)
45.7%
(38.8% - 52.7%)
45.8%
(38.3% - 53.4%)
53.3%
(46.1% - 60.4%)
37.0%
(29.4% - 45.2%)
54.7%
(46.0% - 63.1%)
NA
NA
MatchUp values from Ranked games of the player who attended the last Seasonal Tournament Order of the Archetypes based on the playrate. Source: Metadata of games collected with RiotGames API

LoR-Meta Index (LMI)

Note: Games from Master Rank only

Tier0 with LMI \(\geq\) 97.5 Tier1 with LMI \(\in [85, 97.5)\) Tier2 with LMI \(\in [60, 85)\) Tier3- with LMI \(<\) 60

The LMI 1 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.

Win Marathons Leaders

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.

Top3 Biggest Win Streak by Server
Cumulative wins with the same Archetype
Player Result Archetype Deck Code
Americas
W