INTRODUCTION

A project to collect league-of-legend game records to analyze the factors that affect victory and to predict winning rates based on real-time score fluctuations.

This dataset is the result of the my lol predict project's data pipeline.

Data

Challenger, Grand master, Master tier 90,500 classic game data(Korea, 2020 - 2019)

Match game list ,Win team record, Lose team record, Win team's stat, Lose team's stat

Importance Match data field

• 90,500 row
• gameDuration
• gameVersion
• participants data

To maintain the json structure was saved as .pickle The csv extension does not preserve the json data type. and Matchpre.pkl is preprocessed match data(Use when RAM storage is lack) In addition, team information and member stats are stored in a data frame.