LoL-Ranked-2020-Win-Prediction

Try to predict League of Legends ranked game outcome at match making time

more about the game: https://na.leagueoflegends.com/en-us/how-to-play/

Data Source

https://www.kaggle.com/d4sein/league-of-legends-patch-109

All ranked games data from Season 10 (2020)

Data Dictionary

https://developer.riotgames.com/apis#match-v4/GET_getMatch

Explain what each field means in the raw dataset

Database

https://www.mongodb.com/

Setup

1. Download the raw data from kaggle (link above)
2. Create lol database in MongoDB and load in the raw data
3. Run setupDB.js with MongoDB
4. Run etl.js with mongo --quiet lol etl.js > games.json to create dataset used for post game analysis (printAllGames function)
5. Run etl,js with mongo --quiet lol etl.js > history.json to create dataset used for pre game analysis (prepPreGames function)
6. Run the 2 jupyter notebooks for analysis

Tableau Visualization

tableau dashboard available in repo

Analysis

See presentation.pptx