Data
Number of Players: 5173 Master
| Shard/Server | Americas, N = 1,9951 | Europe, N = 1,7141 | Sea, N = 1,4641 |
|---|---|---|---|
| Player Rank | |||
| Master | 1,995 (100%) | 1,714 (100%) | 1,464 (100%) |
|
1
n (%)
|
|||
Number of (Ranked) Master matches analysed 87365 or 174730 games.
Number of (Ranked) ~HighDiamond matches analysed 240719 or 481438 games.
| Patch 3.10 - Week 3 - by the Numbers1 | ||||
|---|---|---|---|---|
| Characteristic3 | Master2 | ~HighDiamond2 | ||
| N = 213,1604 | N = 87,8374 | N = 388,9084 | N = 241,5634 | |
| Status | ||||
| Ranked | 87,837 (41%) | 241,563 (62%) | ||
| Other | 63,723 (30%) | 72,995 (19%) | ||
| PathOfChampion | 40,592 (19%) | 56,456 (15%) | ||
| Friendly | 21,008 (9.9%) | 17,894 (4.6%) | ||
| Server | ||||
| americas | 84,307 (40%) | 34,250 (39%) | 131,579 (34%) | 79,046 (33%) |
| apac | 61,336 (29%) | 23,780 (27%) | 151,652 (39%) | 97,029 (40%) |
| europe | 67,517 (32%) | 29,807 (34%) | 105,677 (27%) | 65,488 (27%) |
|
1
Max datetime recovered: 2022-02-16 17:33:12 UTC from 2022-02-09 18:00:00 to 2022-02-16 18:00:00 UTC
2
EU Master 1715
NA Master 1993
APAC Master 1465
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
|
||||
Last Update: 2022-02-17 09:18
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 216/288 decks overall.
Games Results
| Top32 Results | ||||||
|---|---|---|---|---|---|---|
| Game results from the top32 players of the Magic Disadventures Seasonal Tournament | ||||||
| WonMatches | americas | apac | europe | |||
| Player | result | Player | result | Player | result | |
| 5 | NNT Elder Senior | やまと | SaltySimonSE | |||
| 4 | HDR Lazyguga | QuấtNoobs | o5wtf | |||
| 3 | FloppyMudkip | Mawile | Meliador0 | |||
| 3 | XxWhatAmIxX | Phoenix | schrewd | |||
| 2 | 4LW HDR | AG Gragassassin | KOVA alleyCaesar | |||
| 2 | FilthyGamerWeeb | Louis | mic check | |||
| 2 | Nano | sai | Owi | |||
| 2 | NNT IzziOwned | Torra | sidak123 | |||
| 1 | AL911AL | AG Glory | Barbirose | |||
| 1 | eolant | Bạn đang lạc lối | FBX Prièst | |||
| 1 | infinipatrons | earthntp | Liquid Alanzq | |||
| 1 | Led2000 | END Kienxun | MDS | |||
| 1 | Markled | Moontal | Pavelicii | |||
| 1 | Orb Meister | tarakoman | ShuKee | |||
| 1 | random7HS | TG Huysama | Sokoï | |||
| 1 | Seku | VK Overdose | TED Gerik | |||
| 0 | AK Tomaszamo | 억까하지말아주세요 | Araneïs | |||
| 0 | Damian1917 | All Creation | Arren | |||
| 0 | Drisoth | Alphaking | Boky | |||
| 0 | FilipeLC | bOzZiES | Broken Ball | |||
| 0 | FNX rodsmtg | J01 | freshlobster | |||
| 0 | GCerqueira | kuro | GenesisCCG | |||
| 0 | HDR BlackBoss | Merua jp | Ghosterdriver | |||
| 0 | JGar | OPM Hammerhead | Hash | |||
| 0 | MajiinBae | OPM Zombieman | JAN | |||
| 0 | NNT Maitri | Pls Dont Hush Me | Kuraschi | |||
| 0 | Officer Oxygen | PlumX | ragnarosich | |||
| 0 | ptash | RD 페타 | Rivage | |||
| 0 | squallywag | RGE Kinhts | timmiTTimmit | |||
| 0 | VolcaronaTango | Shimayuki03 | TombSimon | |||
| 0 | Zinc Elemental | Sunekichi | Vladestiny | |||
| 0 | Zwolfe | VK 영처리 | Żółw Lamparci | |||
| Metadata of games collected with RiotGames API | ||||||
LineUps
Top32 Players' Deckcodes
Magic Disadventures Playoff - Top32 LineUps
As not all decks has being played I can't provide a complete coverage of the lineUps but 216/288 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 | ||
| ShadowIsles | 14.40% | 14.52% | 15.38% | 13.47% |
| Shurima | 12.11% | 12.03% | 12.49% | 11.91% |
| BandleCity | 11.90% | 11.01% | 11.85% | 12.97% |
| Demacia | 10.11% | 10.72% | 9.21% | 10.13% |
| Bilgewater | 9.95% | 10.46% | 9.81% | 9.49% |
| Piltover | 9.38% | 9.48% | 8.61% | 9.89% |
| MtTargon | 8.81% | 8.93% | 9.07% | 8.46% |
| Noxus | 8.12% | 8.11% | 6.84% | 9.16% |
| Freljord | 7.70% | 7.25% | 8.51% | 7.55% |
| Ionia | 7.52% | 7.49% | 8.24% | 6.97% |
| Patch 3.10 - Week 3 Ranked games from 2022-02-09 18:00:00 UTC to 2022-02-16 18:00:00 UTC Source: Metadata of games collected with RiotGames API Last Update: 2022-02-17 08:12:20.617575 | ||||
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 | 13.31% | 13.46% | 13.55% | 12.94% |
| ShadowIsles | 12.82% | 13.11% | 13.16% | 12.22% |
| BandleCity | 12.23% | 11.29% | 12.16% | 13.36% |
| Demacia | 10.05% | 10.66% | 9.24% | 10.01% |
| Piltover | 9.76% | 9.85% | 8.87% | 10.38% |
| MtTargon | 9.69% | 9.85% | 9.67% | 9.52% |
| Ionia | 9.55% | 9.42% | 10.62% | 8.85% |
| Bilgewater | 8.21% | 8.32% | 8.49% | 7.87% |
| Noxus | 7.39% | 7.45% | 6.31% | 8.20% |
| Freljord | 6.98% | 6.59% | 7.93% | 6.66% |
| Patch 3.10 - Week 3 Ranked games from 2022-02-09 18:00:00 UTC to 2022-02-16 18:00:00 UTC Source: Metadata of games collected with RiotGames API Last Update: 2022-02-17 08:12:20.617575 | ||||
Champions Combinations
Play Rates
Plot
from Master
from ~HighDiamond
Day by Day
Highlighting the play-rates of most played1 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 \(\in [0.1%,1%)\) 2
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.
| Senna/Veigar | Pyke/Rek'Sai | Pantheon/Taric (DE/MT) | Miss Fortune/Quinn | Elise (NX/SI) | Pantheon/Shyvana | Ahri/Kennen (IO/SI) | Ahri/Kennen (IO/SH) | Caitlyn/Teemo (BC/PZ) | Fizz/Lulu (BC/PZ) | |
|---|---|---|---|---|---|---|---|---|---|---|
| Senna/Veigar | NA
|
43.3%
44.3% |
39.7%
39.3% |
50.4%
49.8% |
66.6%
64.8% |
42.4%
42.3% |
54.1%
58.0% |
51.6%
52.4% |
50.4%
50.1% |
55.6%
57.4% |
| Pyke/Rek'Sai | 56.7%
55.7% |
NA
|
53.4%
52.2% |
50.4%
49.9% |
45.9%
39.6% |
61.3%
58.0% |
39.0%
42.6% |
34.5%
37.9% |
68.4%
68.9% |
42.9%
36.7% |
| Pantheon/Taric (DE/MT) | 60.3%
60.7% |
46.6%
47.8% |
NA
|
61.7%
61.8% |
35.3%
34.0% |
43.4%
44.1% |
39.1%
45.0% |
35.8%
36.1% |
69.7%
69.9% |
38.3%
39.1% |
| Miss Fortune/Quinn | 49.6%
50.2% |
49.6%
50.1% |
38.3%
38.2% |
NA
|
67.1%
61.1% |
40.4%
37.8% |
65.5%
64.9% |
57.8%
60.9% |
77.6%
71.3% |
45.6%
52.4% |
| Elise (NX/SI) | 33.4%
35.2% |
54.1%
60.4% |
64.7%
66.0% |
32.9%
38.9% |
NA
|
70.3%
68.7% |
56.5%
64.8% |
67.6%
70.6% |
60.9%
60.9% |
20.0%
26.8% |
| Pantheon/Shyvana | 57.6%
57.7% |
38.7%
42.0% |
56.6%
55.9% |
59.6%
62.2% |
29.7%
31.3% |
NA
|
48.9%
54.1% |
33.9%
33.0% |
67.4%
67.6% |
41.7%
44.7% |
| Ahri/Kennen (IO/SI) | 45.9%
42.0% |
61.0%
57.4% |
60.9%
55.0% |
34.5%
35.1% |
43.5%
35.2% |
51.1%
45.9% |
NA
|
58.3%
55.8% |
60.2%
58.3% |
59.4%
54.0% |
| Ahri/Kennen (IO/SH) | 48.4%
47.6% |
65.5%
62.1% |
64.2%
63.9% |
42.2%
39.1% |
32.4%
29.4% |
66.1%
67.0% |
41.7%
44.2% |
NA
|
58.3%
55.9% |
44.0%
49.0% |
| Caitlyn/Teemo (BC/PZ) | 49.0%
49.9% |
31.6%
31.1% |
30.3%
30.1% |
22.4%
28.7% |
39.1%
39.1% |
32.6%
32.4% |
39.8%
41.7% |
40.6%
44.1% |
NA
|
26.8%
25.2% |
| Fizz/Lulu (BC/PZ) | 44.4%
42.6% |
57.1%
63.3% |
61.7%
60.9% |
54.4%
47.6% |
80.0%
73.2% |
58.3%
55.3% |
40.6%
46.0% |
56.0%
51.0% |
73.2%
74.8% |
NA
|
| The upper value is from Last-Seasononal Players while the bottom value is from ~HighDiamond. MU with less than 30 games are not included. Order of the Archetypes based on the playrate over the last 7 days from the last-update from the upper value population. Source: Metadata of games collected with RiotGames API | ||||||||||