Seasonal Tournament - Magic Disadventure - Open Rounds
Number of (Ranked) matches analyzed 18284 or 36568 games.
Last Update: 2022-02-06 18:15
Seasonal Open Rounds - by the Numbers | ||
---|---|---|
Players coverage reached regarding the Seasonal Tournament - Magic Disadventure - Open Rounds | ||
Server | Players | Games |
Apac | 682 | 8352 |
Europe | 1008 | 14186 |
Americas | 998 | 13142 |
Source: Source: Metadata of games collected with RiotGames API |
Seasonal Open Rounds - by the Numbers | |||
---|---|---|---|
Match coverage reached regarding the Seasonal Tournament - Magic Disadventure - Open Rounds | |||
Apac1 | Europe1 | America1 | |
round | |||
1 | 576 | 934 | 926 |
2 | 564 | 880 | 856 |
3 | 522 | 816 | 774 |
4 | 464 | 722 | 674 |
5 | 286 | 624 | 578 |
6 | 298 | 538 | 458 |
7 | 252 | 468 | 400 |
8 | 216 | 404 | 332 |
9 | 202 | 358 | 308 |
Source: Source: Metadata of games collected with RiotGames API | |||
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The following data is related to the the number of games missing to recreate a match.So when I could only collect either a win or a loss or both a win and a loss but not the remaining game. It is not the total number of missing games as it doesn’t account for the cases where I lack all games but that value can’t be known as it’s impossible to know whenever the round was played or not.
During the partial results is the graph is lacking I recovered all games I could up until that moment.
Figure 1: Uncomplete Matches Distribution
As this is the Seasonal Tournament let’s start with the decks/archetype informations
This is also the moment of the meta where the classification Archetype = Champion+Region shows its biggest limitation as there are an increase in tech champions (usually in single copy)
Relative frequencies from all data or only lineUps with full information Source: Metadata of games collected with RiotGames API
\[\begin{equation} BanRate = \frac{\#ban}{\#match} \end{equation}\]
Example: 2 Line-Ups contained a Teemo/Ezreal deck, both played all 9 matches and Teemo/Ezreal was banned respectively 3 and 6 times; the ban rate would be \(\frac{(3+6)}{(9+9)} = 50\%\)
Data from only full Line-Ups. Source: Source: Metadata of games collected with RiotGames API FALSE