MatiasSanchezCabrera / lol-winner

Train and expose a model to predict the winner of a League of Legends match before the game starts.

lol-winner

This is a personal project where I train and expose a model to predict the winner of a League of Legends match after champion select.

game_fetcher.py

This file contains the definition of the Fetcher object which searches for matches and saves them into a postgres db. The purpose of this object is to collect the data for model training.

If you wish to use the Fetcher, you'll need to get a Riot Games API Key (https://developer.riotgames.com/) and a postgres database with the following tables:

matches_match

• match_id (bigint)
• match_detail (json)
• region (varchar(5))

accounts_accountfetched

• account_id (bigint)
• timestamp (bigint)
• region (varchar(5))

Run db_script.sql to create this tables in your database.

To initialize a Fetcher you need to pass the region, the season, the current patch (such as 7.18) and the summoner name of a seed player.