Patch 3.3 - Week 2 - Long (Broken) turns have we waited, Tri-Beam Activated
Number of Master Players: 1041
Number of HighDiamond 1 Players: 2566
Number of (Ranked) Master matches analysed 36873 or 73746 games.
Number of (Ranked) ~HighDiamond matches analysed 106974 or 213948 games.
Last Update: 2022-03-16 19:19
Patch 3.3 - Week 2 - by the Numbers1 | ||||
---|---|---|---|---|
Characteristic3 | Master2 | ~HighDiamond2 | ||
N = 59,6854 | N = 36,8734 | N = 150,6724 | N = 106,9744 | |
Status | ||||
Ranked | 36,873 (62%) | 106,974 (71%) | ||
Other | 15,750 (26%) | 24,400 (16%) | ||
PathOfChampion | 5,288 (8.9%) | 15,880 (11%) | ||
Friendly | 1,774 (3.0%) | 3,418 (2.3%) | ||
Server | ||||
americas | 21,309 (36%) | 13,120 (36%) | 59,808 (40%) | 40,343 (38%) |
apac | 19,897 (33%) | 11,151 (30%) | 45,319 (30%) | 32,040 (30%) |
europe | 18,479 (31%) | 12,602 (34%) | 45,545 (30%) | 34,591 (32%) |
1 Max datetime recovered: 2022-03-16 17:41:24 UTC from 2022-03-09 18:00:00 to 2022-03-16 18:00:00 UTC | ||||
2 EU Master 316/316 NA Master 366/367 APAC Master 352/352 | ||||
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 | ||||
4 n(%) took from the number of matches. When the data is analysed the size is double since we account each different player |
Shard/Server | Americas, N = 1,3481 | Apac, N = 1,1471 | Europe, N = 1,1121 |
---|---|---|---|
Player Rank | |||
Master | 366 (27%) | 353 (31%) | 322 (29%) |
Diamond | 982 (73%) | 794 (69%) | 790 (71%) |
1 n (%) |
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 | Apac | Europe | ||
BandleCity | 17.97% | 18.99% | 15.45% | 19.15% |
Demacia | 15.71% | 15.91% | 15.12% | 16.03% |
Piltover | 13.12% | 13.25% | 14.04% | 12.18% |
Noxus | 11.11% | 10.81% | 10.97% | 11.53% |
ShadowIsles | 8.66% | 9.05% | 8.38% | 8.51% |
Shurima | 8.48% | 8.09% | 8.59% | 8.80% |
MtTargon | 8.41% | 8.97% | 8.64% | 7.63% |
Freljord | 6.29% | 5.66% | 6.76% | 6.54% |
Bilgewater | 5.92% | 4.49% | 8.52% | 5.10% |
Ionia | 4.32% | 4.78% | 3.53% | 4.54% |
Patch 3.3 - Week 2 Ranked games from 2022-03-09 18:00:00 UTC to 2022-03-16 18:00:00 UTC Source: Metadata of games collected with RiotGames API Last Update: 2022-03-16 18:18:01.897511 |
Region Play Rate | ||||
---|---|---|---|---|
Relative Frequencies by number of times a Card within a Region is included in a Deck | ||||
Region | Freq | Shard | ||
America | Apac | Europe | ||
BandleCity | 22.51% | 24.13% | 19.42% | 23.57% |
Demacia | 13.69% | 12.96% | 14.13% | 14.06% |
Piltover | 13.54% | 13.72% | 13.93% | 13.02% |
Shurima | 9.74% | 9.29% | 10.09% | 9.88% |
MtTargon | 9.19% | 9.92% | 9.26% | 8.37% |
Noxus | 8.59% | 8.13% | 8.78% | 8.90% |
ShadowIsles | 8.22% | 8.36% | 8.38% | 7.94% |
Freljord | 5.76% | 5.05% | 6.18% | 6.12% |
Bilgewater | 4.40% | 3.64% | 6.39% | 3.42% |
Ionia | 4.36% | 4.80% | 3.44% | 4.71% |
Patch 3.3 - Week 2 Ranked games from 2022-03-09 18:00:00 UTC to 2022-03-16 18:00:00 UTC Source: Metadata of games collected with RiotGames API Last Update: 2022-03-16 18:18:01.897511 |
Data from Master Only. Source: Metadata of games collected with RiotGames API. Last Update: 2022-03-16 18:20:31.130008 FALSE
Data from ~HighDiamond Only. Source: Metadata of games collected with RiotGames API Last Update: 2022-03-16 18:20:32.048194. FALSE
Highlighting the play-rates of most played [^at the moment of the last game] decks over time.
Win rates of the most played combination of champions. Play Rate \(\geq 1\%\) in at least one of the servers.
Top Win rates of the top10 best performing least played combination of champions. Play rate \(\in [0.1%,1%)\) [^Min number of games 50, during the times a meta/ladder just changed]
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”.
The win rates on the grid are among the 10 most played champion combination.
The upper value is from all the Masters players, the bottom one only from HighDiamond.
MU with less than 30 games are not included.
Senna/Veigar | Pantheon/Yuumi (DE/MT) | Tri-Beam (NX/PZ) | Gnar/Teemo/Tristana (BC/DE) | Pyke/Rek'Sai | BandleTree | Miss Fortune/Quinn | Akshan/Sivir (DE/SH) | Gnar/Trundle (FR/PZ) | Fizz/Lulu (BC/PZ) | |
---|---|---|---|---|---|---|---|---|---|---|
Senna/Veigar | NA
|
42.9%
45.3% |
51.3%
49.8% |
42.1%
45.3% |
52.4%
47.4% |
18.4%
28.5% |
41.9%
42.0% |
37.7%
39.6% |
53.8%
50.3% |
58.0%
56.2% |
Pantheon/Yuumi (DE/MT) | 57.1%
54.7% |
NA
|
49.1%
48.3% |
54.1%
48.7% |
50.7%
50.5% |
44.1%
45.3% |
66.7%
63.7% |
67.0%
62.2% |
57.1%
55.0% |
36.8%
33.2% |
Tri-Beam (NX/PZ) | 48.7%
50.2% |
50.9%
51.7% |
NA
|
43.5%
44.8% |
54.3%
53.0% |
58.2%
58.8% |
48.7%
52.8% |
43.1%
48.2% |
37.2%
39.4% |
47.3%
51.3% |
Gnar/Teemo/Tristana (BC/DE) | 57.9%
54.7% |
45.9%
51.3% |
56.5%
55.2% |
NA
|
52.0%
52.8% |
61.5%
62.0% |
48.4%
51.0% |
50.0%
51.1% |
59.2%
49.7% |
43.3%
52.1% |
Pyke/Rek'Sai | 47.6%
52.6% |
49.3%
49.5% |
45.7%
47.0% |
48.0%
47.2% |
NA
|
43.1%
46.4% |
57.1%
49.4% |
48.8%
42.0% |
44.8%
39.8% |
32.0%
30.6% |
BandleTree | 81.6%
71.5% |
55.9%
54.7% |
41.3%
41.2% |
38.5%
38.0% |
56.9%
53.6% |
NA
|
36.6%
30.2% |
47.4%
52.0% |
48.4%
39.6% |
33.0%
50.0% |
Miss Fortune/Quinn | 58.1%
58.0% |
33.3%
36.3% |
51.3%
47.2% |
51.6%
49.0% |
42.9%
50.6% |
63.4%
69.8% |
NA
|
44.6%
48.5% |
44.1%
54.4% |
39.7%
47.5% |
Akshan/Sivir (DE/SH) | 62.3%
60.4% |
33.0%
37.8% |
56.9%
51.8% |
50.0%
48.9% |
51.2%
58.0% |
52.6%
48.0% |
55.4%
51.5% |
NA
|
50.6%
47.7% |
44.1%
55.3% |
Gnar/Trundle (FR/PZ) | 46.2%
49.7% |
42.9%
45.0% |
62.8%
60.6% |
40.8%
50.3% |
55.2%
60.2% |
51.6%
60.4% |
55.9%
45.6% |
49.4%
52.3% |
NA
|
49.2%
51.7% |
Fizz/Lulu (BC/PZ) | 42.0%
43.4% |
63.2%
66.8% |
52.7%
48.7% |
56.7%
47.9% |
68.0%
69.4% |
67.0%
50.0% |
60.3%
52.5% |
55.9%
44.7% |
50.8%
48.3% |
NA
|
MatchUp values from Ranked games with Master (upper) and ~HighDiamond (bottom) Ranked players. Decks and order of the Archetypes based on the playrate over the last 7 days. Source: Metadata of games collected with RiotGames API |