Learn about League of Legends and data analysis

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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

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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

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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

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Counting to 481,008,528

A League-inspired introduction to combinatorics, the study of counting.

Joseph Lutz

May 07, 2019

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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

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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

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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

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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

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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