League-of-Legends-SOLO-Q-Ranked-Games
OpenML dataset with id 43496
Author name not available (Why is that?)
Full work available at URL: https://api.openml.org/data/v1/download/22102321/League-of-Legends-SOLO-Q-Ranked-Games.arff
Upload date: 23 March 2022
Dataset Characteristics
Number of features: 59 (numeric: 59, symbolic: 0 and in total binary: 0 )
Number of instances: 242,572
Number of instances with missing values: 0
Number of missing values: 0
Context
League of Legends is a MOBA (multiplayer online battle arena) where 2 teams (blue and red) face off. There are 3 lanes, a jungle, and 5 roles. The goal is to take down the enemy Nexus to win the game.
Content
This dataset contains stats of approx. 25000 ranked games (SOLO QUEUE) from a Platinium ELO.
Each game is unique. The gameId can help you to fetch more attributes from the Riot API.
Each game has features from different time frames from 10min to the end of the game. For example, game1 10min, game1 12min, game1 14min etc.
In total there are +240000 game frames.
There are 55 features collected for the BLUE team . This includes kills, deaths, gold, experience, level It's up to you to do some feature engineering to get more insights.
The column hasWon is the target value if you're doing classification to predict the game outcome.
Otherwise you can use the gameDuration attribute if you wanna predict the game duration.
Attributes starting with is* are boolean categorial values (0 or 1).
Happy hacking.
This page was built for dataset: League-of-Legends-SOLO-Q-Ranked-Games
