These three datasets correspond to the Nexus Blitz Numbers article.
This dataset has 9867 rows, each corresponding to a pair of junglers played in the Nexus Blitz alpha in North America.
Column | Description |
---|---|
champ1 |
The first champion in the pair, e.g. "Anivia" |
champ2 |
The second champion in the pair |
winrate |
The % of games won by this jungle duo |
ngames |
The number of Nexus Blitz games played with this jungle duo |
This dataset has 564 rows and 12 columns. Each row corresponds to a champion in a game mode (e.g. Aatrox in ARAM). The columns correspond to different statistics calculated for these champions during the time the Nexus Blitz alpha was live.
Column | Description |
---|---|
champion |
The champion, e.g. "Aatrox" |
queueid |
The game mode: 420 (Ranked Solo), 450 (ARAM), 470 (TT), or 1200 (Nexus Blitz) |
ngames |
Games played on the champion in that game mode |
nwins |
Games won on that champion in that game mode |
... | (other end-of-game stats) |
subclass |
The champion subclass as defined by Riot |
class |
The champion class as defined by Riot |
This dataset has 83 rows, each corresponding to a day. The columns correspond to the number of games played in Nexus Blitz, Ranked, and ARAM in North America each day.
Column | Description |
---|---|
date |
A day between 2018-07-20 and 2018-10-10. |
nexus_blitz |
Nexus Blitz games played that day |
ranked |
Ranked games played that day |
aram |
ARAM games played that day |
nexus_blitz_smooth |
Nexus Blitz games played, smoothed using a 7-day rolling mean**. |
ranked_smooth |
Ranked games played, smoothed using a 7-day rolling mean. |
aram_smooth |
ARAM games played, smoothed using a 7-day rolling mean. |
** Note: In order to be able to show the play counts on the first few days of nexus blitz (which would normally be excluded by a 7-day rolling average), we allowed the average to be calculated as long as there were at least 2 games in the rolling window. So, on the first day of Nexus Blitz there was no smoothed value, but on the second day, there was one--- the average of the previous two days.