Seasonal Tournament - A Curious Journey - Open Rounds
Number of (Seasonal) matches analyzed 16391 or 32782 games.
Last Update: 2022-05-15 19:54
Seasonal Open Rounds - by the Numbers | ||
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Players coverage reached regarding the Seasonal Tournament - A Curious Journey - Open Rounds | ||
Server | Players | Games |
Apac | 654 | 9018 |
Europe | 817 | 11514 |
Americas | 946 | 12250 |
Source: Source: Metadata of games collected with RiotGames API |
Seasonal Open Rounds - by the Numbers | |||
---|---|---|---|
Match coverage reached regarding the Seasonal Tournament - A Curious Journey - Open Rounds | |||
Apac1 | Europe1 | America1 | |
round | |||
1 | 538 | 774 | 836 |
2 | 18 | 729 | 812 |
3 | 2 | 668 | 736 |
4 | 384 | 592 | 606 |
5 | 362 | 484 | 516 |
6 | 300 | 434 | 454 |
7 | 268 | 370 | 374 |
8 | 224 | 318 | 342 |
9 | 216 | 306 | 318 |
Source: Source: Metadata of games collected with RiotGames API As the bug affected the APAC second round making null lots of games, the very small number seen at round 2 and 3 should be because of assigned wins | |||
1 n |
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