Data
Number of Master Players: 7016
Number of HighDiamond 1 Players: 11586
Number of (Ranked) Master matches analysed 93808 or 187616 games.
Number of (Ranked) ~HighDiamond matches analysed 249978 or 499956 games.
Last Update: 2022-05-29 10:45
Games
| Patch 3.7 - Week 2 - by the Numbers1 | ||||
|---|---|---|---|---|
| Characteristic3 | Master2 | ~HighDiamond2 | ||
| N = 290,9364 | N = 93,8084 | N = 474,9974 | N = 249,9784 | |
| Status | ||||
| Other | 170,092 (58%) | 195,102 (41%) | ||
| Ranked | 93,808 (32%) | 249,978 (53%) | ||
| Friendly | 27,036 (9.3%) | 29,917 (6.3%) | ||
| Server | ||||
| americas | 116,364 (40%) | 34,742 (37%) | 183,512 (39%) | 93,435 (37%) |
| apac | 84,832 (29%) | 28,239 (30%) | 137,030 (29%) | 73,066 (29%) |
| europe | 89,740 (31%) | 30,827 (33%) | 154,455 (33%) | 83,477 (33%) |
| 1 Max datetime recovered: 2022-05-25 15:59:54 UTC from 2022-05-18 18:00:00 to 2022-05-25 18:00:00 UTC | ||||
| 2 EU Master 2303 NA Master 2678 APAC Master 2035 warning: the leaderboard is bugged and doesn't provide the complete master list | ||||
| 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 | ||||
Account
| Shard/Server | Total | |||
|---|---|---|---|---|
| Americas | Apac | Europe | ||
| Player Rank | ||||
| Master | 2,678 (14%) | 2,035 (11%) | 2,303 (12%) | 7,016 (38%) |
| Diamond | 4,360 (23%) | 3,424 (18%) | 3,802 (20%) | 11,586 (62%) |
| Total | 7,038 (38%) | 5,459 (29%) | 6,105 (33%) | 18,602 (100%) |
Seasonal Tournament Top32 Results
Before providing the usual description of last week high ranked games here are the results from the top32
Note: As not all decks has being played I can’t provide a complete coverage of the lineUps but 206/288 decks overall.
Games Results
| Top32 Results | ||||||
|---|---|---|---|---|---|---|
| Game results from the top32 players of the 'A Curious Journey' Seasonal Tournament | ||||||
| WonMatches | americas | apac | europe | |||
| Player | result | Player | result | Player | result | |
| 5 | Prodigy#1097 | pinpingho#GHYFY | Redwinter97#EUW | |||
| 4 | KraftyOne#NA1 | Aurora#4444 | o5wtf#2438 | |||
| 3 | AK Tomaszamo#LAS | Cuốc Đẹp Chai#1604 | Gouda ddy#EUW | |||
| 3 | HDR Ez2Win#HDR | GM Ame#9999 | LFR Swatblues#2002 | |||
| 2 | ABG Rogio#GAMER | Merua jp#5988 | BranchOfTurtwigs#3030 | |||
| 2 | infinipatrons#NA1 | RGE Oneeyed Dog#VNM | RossPierrDol#4149 | |||
| 2 | Kevor24#NA1 | VK 영처리#000 | Shunpo#14587 | |||
| 2 | SantaTCG#7777 | 我们的未来很光明#666 | Sir Donald#2525 | |||
| 1 | DrChekhov42#NA1 | BLCK BanditKeith#3349 | Broken Ball#EUW | |||
| 1 | Eom#NA1 | BRUCE1915#2604 | Chuck#7544 | |||
| 1 | MDM mistics#LAS | FlyingFish#0000 | jirkau#EUNE | |||
| 1 | RealPrismsword#NA1 | HC IrisS#8325 | MattyMon#Rat | |||
| 1 | Rollz#9543 | MrOwl#8389 | Meliador0#EUW | |||
| 1 | Scathus#NA1 | Soraharu#6814 | Oslow Cosimo#4504 | |||
| 1 | Xeloo#LAS | yuuki#1352 | piorro#EUNE | |||
| 1 | Yrebellion#NA1 | 동그란펭귄#4869 | SmoothSwoleoist#EUW | |||
| 0 | Aikado#Awoo | AFTV깜동#0823 | BaJAtak#EUNE | |||
| 0 | Beastllama#2545 | AFTV페타#1023 | den#R8015 | |||
| 0 | ChronoMirage#NA1 | AG Gragassassin#5084 | friendlynihilist#4033 | |||
| 0 | Findla Mor#5413 | AG KoreanfishTW#9318 | gutshot GDB#EUW | |||
| 0 | FNX Wasrusso#2020 | Artefy#RTFy | GZneverwalkalone#EUNE | |||
| 0 | Montary#BR1 | BLCK HyeJin#TYRNT | InBrenpunkt#uwu | |||
| 0 | Morpice121#OCE | END G#GAME | Kinecremeus#EUW | |||
| 0 | NNT Maitri#NNT | NBS Kinhts#5850 | Kuraschi#EUW | |||
| 0 | Nocturex#NA1 | OPM Hammerhead#0000 | LZorni#EUW | |||
| 0 | ptash#NA1 | QuấtNoobs#1997 | MDS#DENIZ | |||
| 0 | SnipeCrossGG#moc | Seahiter#G3m | Protoliskk#1313 | |||
| 0 | Spidz#moc | yata64#JP1 | ragnarosich#2165 | |||
| 0 | Trivo#BR1 | ガッチャ#3836 | TomasOW#8150 | |||
| 0 | waitimplaying#NA1 | バターー#JP1 | Tos#009 | |||
| 0 | XxWhatAmIxX#NA1 | 桃桃和你拼了#000 | WW Dyna#DOOM | |||
| 0 | Zorig Dungu#NA1 | 浦部の本質#7841 | WW Hash#OVI | |||
| Metadata of games collected with RiotGames API | ||||||
LineUps
Top32 Players' Deckcodes
A Curious Journey Playoff - Top32 LineUps
As not all decks has being played I can't provide a complete coverage of the lineUps but 206/288 decks overall. Source: Metadata of games collected with RiotGames API
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 | ||||
| Region | Freq | Shard | ||
| America | Apac | Europe | ||
| Shurima | 14.64% | 14.58% | 15.26% | 14.15% |
| Piltover | 14.01% | 14.03% | 13.68% | 14.31% |
| ShadowIsles | 12.10% | 11.81% | 12.03% | 12.48% |
| BandleCity | 10.15% | 9.68% | 11.57% | 9.40% |
| Noxus | 9.81% | 9.34% | 8.85% | 11.21% |
| MtTargon | 8.99% | 9.74% | 8.98% | 8.17% |
| Freljord | 8.59% | 8.58% | 7.84% | 9.29% |
| Demacia | 8.34% | 8.55% | 8.15% | 8.27% |
| Bilgewater | 7.37% | 7.59% | 6.97% | 7.49% |
| Ionia | 5.99% | 6.11% | 6.68% | 5.24% |
| Patch 3.7 - Week 2 Ranked games from 2022-05-18 18:00:00 UTC to 2022-05-25 18:00:00 UTC Source: Metadata of games collected with RiotGames API Last Update: 2022-05-29 08:34:29.95114 | ||||
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 | ||||
| Region | Freq | Shard | ||
| America | Apac | Europe | ||
| Shurima | 17.85% | 17.71% | 18.61% | 17.33% |
| Piltover | 14.66% | 14.31% | 14.11% | 15.56% |
| ShadowIsles | 10.44% | 10.29% | 10.28% | 10.76% |
| BandleCity | 9.95% | 9.43% | 11.60% | 9.03% |
| Freljord | 8.87% | 8.80% | 8.00% | 9.75% |
| Demacia | 8.65% | 8.79% | 8.51% | 8.63% |
| MtTargon | 8.53% | 9.54% | 8.23% | 7.66% |
| Noxus | 8.48% | 8.21% | 7.82% | 9.37% |
| Bilgewater | 6.46% | 6.72% | 5.81% | 6.75% |
| Ionia | 6.11% | 6.21% | 7.03% | 5.16% |
| Patch 3.7 - Week 2 Ranked games from 2022-05-18 18:00:00 UTC to 2022-05-25 18:00:00 UTC Source: Metadata of games collected with RiotGames API Last Update: 2022-05-29 08:34:29.95114 | ||||
Champions Combinations
Play Rates
Plot
from Master
Data from Master Only. Source: Metadata of games collected with RiotGames API. Last Update: 2022-05-29 08:49:28.74284 FALSE
from ~HighDiamond
Data from ~HighDiamond Only. Source: Metadata of games collected with RiotGames API Last Update: 2022-05-29 08:49:29.033134. FALSE
Day by Day
Highlighting the play-rates of most played [^at the moment of the last game] decks over time.
Master
HighDiamond
Win Rates
Meta Decks
Win rates of the most played combination of champions. Play Rate \(\geq 1\%\) in at least one of the servers.
Underdog
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]
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.
The upper value is from all the Masters players, the bottom one only from HighDiamond.
MU with less than 30 games are not included.
| Viego (SH/SI) | Yuumi/Pantheon (DE/MT) | Azir/Xerath | Fizz/Aphelios (BC/MT) | Ezreal/Caitlyn (NX/PZ) | Taliyah/Ziggs | Tryndamere/Trundle (FR/SI) | Miss Fortune/Quinn | Heimerdinger/Jayce (PZ/SI) | Pyke/Rek'Sai | |
|---|---|---|---|---|---|---|---|---|---|---|
| Viego (SH/SI) | NA
|
50.3%
49.1% |
44.4%
44.4% |
48.1%
49.1% |
35.1%
37.4% |
52.5%
50.8% |
70.6%
71.7% |
59.6%
51.9% |
42.7%
44.2% |
49.4%
48.4% |
| Yuumi/Pantheon (DE/MT) | 49.7%
50.9% |
NA
|
57.0%
59.7% |
51.3%
57.3% |
45.8%
43.2% |
60.8%
56.5% |
50.0%
45.8% |
63.5%
64.7% |
59.8%
53.7% |
51.0%
55.4% |
| Azir/Xerath | 55.6%
55.6% |
43.0%
40.3% |
NA
|
35.3%
41.1% |
62.9%
64.2% |
44.2%
44.2% |
53.2%
50.3% |
44.6%
39.5% |
64.5%
62.8% |
55.0%
51.5% |
| Fizz/Aphelios (BC/MT) | 51.9%
50.9% |
48.7%
42.7% |
64.7%
58.9% |
NA
|
50.2%
43.9% |
56.8%
50.5% |
58.7%
49.5% |
34.5%
32.9% |
40.7%
51.4% |
57.0%
51.5% |
| Ezreal/Caitlyn (NX/PZ) | 64.9%
62.6% |
54.2%
56.8% |
37.1%
35.8% |
49.8%
56.1% |
NA
|
35.4%
34.5% |
20.1%
19.6% |
64.6%
56.1% |
32.0%
28.8% |
60.0%
55.1% |
| Taliyah/Ziggs | 47.5%
49.2% |
39.2%
43.5% |
55.8%
55.8% |
43.2%
49.5% |
64.6%
65.5% |
NA
|
61.8%
56.0% |
43.9%
44.7% |
58.4%
57.2% |
62.0%
54.5% |
| Tryndamere/Trundle (FR/SI) | 29.4%
28.3% |
50.0%
54.2% |
46.8%
49.7% |
41.3%
50.5% |
79.9%
80.4% |
38.2%
44.0% |
NA
|
48.9%
45.7% |
53.1%
59.5% |
46.7%
42.6% |
| Miss Fortune/Quinn | 40.4%
48.1% |
36.5%
35.3% |
55.4%
60.5% |
65.5%
67.1% |
35.4%
43.9% |
56.1%
55.3% |
51.1%
54.3% |
NA
|
43.2%
47.9% |
51.3%
56.0% |
| Heimerdinger/Jayce (PZ/SI) | 57.3%
55.8% |
40.2%
46.3% |
35.5%
37.2% |
59.3%
48.6% |
68.0%
71.2% |
41.6%
42.8% |
46.9%
40.5% |
56.8%
52.1% |
NA
|
54.8%
47.8% |
| Pyke/Rek'Sai | 50.6%
51.6% |
49.0%
44.6% |
45.0%
48.5% |
43.0%
48.5% |
40.0%
44.9% |
38.0%
45.5% |
53.3%
57.4% |
48.7%
44.0% |
45.2%
52.2% |
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 | ||||||||||