Articles
Learn about League of Legends and data analysis
Doran's Lab Manual
A detailed introduction to Python for tabular data using illustrative examples from League of Legends!
Hongjian Yang, Alex Cloud, Nami Sumida, Savannah Ward
September 20, 2020
The Critical Strike Algorithm Revisited
Learn how critical strike rates are adjusted based off of previous attacks through a second dive into Riot's critical strike algorithm.
Justin De La Rosa
September 20, 2020
Hacking the Jungle with Data Science
Read about how we used concepts from statistics and machine learning to explore early game jungle pathing!
Stephen Downhower
May 16, 2019
Counting to 481,008,528
A League-inspired introduction to combinatorics, the study of counting.
Joseph Lutz
May 07, 2019
The Terror that is Sion: Winning by Losing
We're going back and taking a look at inting Sion, the undead-but-usually-dead phenomenon.
Andy Huang
January 23, 2019
Nexus Blitz Numbers: Double Jungle, Win Rates, and More!
A look at Nexus Blitz alpha—check out the best jungle duos, champion win rates across modes, and see how the game mode performed in terms of player engagement!
Hongjian Yang, Adam Durrett
November 30, 2018
Rabadon's Death Recap: Fixing League's Most Broken Tool
With some involuntary help from solo queue "legend" Imaqtpie, we're presenting you the death recap we need, but not the one Riot thinks we deserve right now.
Andy Huang
August 21, 2018
Understanding Champion Similarity: Part I
Gain insight into champion classes and statistical data exploration with our new, data-driven champion groupings.
Matthew Singer
August 21, 2018
Unraveling Riot's Critical Strike Algorithm
A data-driven look at how Riot adjusts critical strike chance based on previous attacks.
Nathan Langley
August 21, 2018
New Insights through Location-Based Champion Metrics
Learn all about our new ways of measuring map movement using the split score, companion score, and rotation score!
Daniel Dulaney
August 21, 2018