Riot Games presents VALORANT: a 5v5 character-based tactical FPS where precise gunplay meets unique agent abilities. With over 14 million active monthly users, Valorant is one of the most popular (and free!) games out right now. In this project, I pull data from blitz.gg. See my associated Kaggle notebook for my analysis & visualizations.
Please leave a star on this repo if you decide to use the data!
valorant.py- Primary file which is run to scrape the data. This python script uses selenium to extract data (element from xpath) from the website.auto.bat- File for pushing the entire folder to the github repo. Pairs up with Windows Task Scheduler to push the data every X amount of days.
abilities_data- Folder of agent abilities usage. Only includes data from the aggregate of all maps.agents_data- Folder of essential agent data, such as pick rate, win rate, and average combat score. Includes individual map data too.map_data- Folder of essential map data, such as pick rate, win percentage for either side, and number of matches.weapons_data- Folder of essential weapon data, such as headshot percentage and average damage per round. Includes indvidual map data too.
To import your data with python, you should use pd.read_csv(f"https://raw.githubusercontent.com/IronicNinja/valorant-stats/master/{folderName}/{subfolderName}/{csvName}") or just copy + paste the raw github file link.