Welcome to the League of Legends Esports Global Power Rankings Hackathon, powered by AWS and Riot Games!

This is your opportunity to use official League of Legends Esports data to create a method for ranking LoL Esports pro teams globally. Will your method be able to predict the next world champion?

League of Legends is a multiplayer online battle arena game by Riot Games where two teams of five players battle in player-versus-player combat. Since its release in 2009, League of Legends has become one of the world's largest esports. Riot Games operates 9 regional leagues internationally with those regions having their own official ranking systems. Take this challenge and make those rankings global! 

Amazon Web Services (AWS) provides the tools to do just that. From Machine Learning to Databases, Generative AI, Analytics, and more, AWS has a number of services that can help you build the best method for LoL Esports Global Power Rankings whether you’re a developer, data scientist, or machine learning enthusiast.

Why Join
  • Be part of the developer community surrounding League of Legends Esports

  • Build something new with Amazon Web Services

  • Access technical support from Riot Games and AWS

  • Get a shot at some of the $50k in prizes

Getting Started


What to Build

Build a working method (API, notebook, working web application) for a League of Legends Global Power Ranking system using the esports data provided by Riot Games and at least one AWS service.

The working method must provide the following outputs:

  • Tournament rankings - provide team rankings for a given tournament
  • Global rankings - provide current rankings of all teams globally
  • Team rankings - provide rankings for a given list of teams

What to Submit

  • Access: Provide a public URL to your working method (API, notebook, working web application)
  • Code: Provide a URL to your code repository to show how your project was built.
  • Demo: Include a video (should be about 3 minutes) that demonstrates your submission. Videos must be uploaded to YouTube, Vimeo, or Facebook Video and made public.
  • Methodology Write Up: Should include a short explanation of the methodology of the ranking system, including any other data sources used, and your findings and learnings as you worked through the project.
  • Tooling: Include an explanation of the AWS services used to build the project.
  • Optional Tagging: The AWS platform enables you to assign custom tags to your resources. A tag is a key-value pair applied to a resource to hold metadata about that resource. Each tag is a label consisting of a key and an optional value. Not all services and resource types currently support tags (see Services that support the Resource Groups Tagging API). We recommend that any infrastructure you launch be tagged with “key: power-rankings-hackathon value: 2023”.

Please check the Official Rules for full details.

Hackathon Sponsors


$50,000 in prizes

1st Place

• $10,000 USD
• $10,000 in AWS Promotional Credits
• 4 tickets to League of Legends World Finals 2024 (Doesn’t include airfare and hotels)
• 1-hour virtual meeting with AWS and Riot technical leads

2nd Place

• $7,000 USD
• $6,000 in AWS Promotional Credits
• 1-hour virtual meeting with AWS and Riot technical leads

3rd Place

• $5,000 USD
• $5,000 in AWS Promotional Credits
• 1-hour virtual meeting with AWS and Riot technical leads

4th-10th Place (7)

• $1,000 in AWS Promotional Credits

Devpost Achievements

Submitting to this hackathon could earn you:


Jed Wang

Jed Wang
Head of Strategic Partnerships | AWS | LinkedIn

Dan Pavatich

Dan Pavatich
Professional Services Industry Leader, Interactive Entertainment | AWS

Ashwin Raghuraman

Ashwin Raghuraman
Sr. Solutions Architect, Games | AWS

Darren Aasen

Darren Aasen
Sr. Partnerships Manager | AWS | LinkedIn

John Knauss

John Knauss
Head of Competitive Data Programs | Riot Games

Luke Cudney

Luke Cudney
Director of Product Management, Esports | Riot Games

Connie Lee

Connie Lee
Sr. Data Engineer | Riot Games

Brent Thompson

Brent Thompson
Software Engineering Manager | Riot Games | LinkedIn

Aneeka Latif

Aneeka Latif
Engineering Manager, Data Science | Riot Games | LinkedIn

Vanessa Tse

Vanessa Tse
Product Lead, League of Legends Competitive Data | Riot Games | LinkedIn

Judging Criteria

  • Realistic
    How well does the ranking system reflect the state of competition?
  • Technological Implementation
    Does the project demonstrate quality software development? How well does the project leverage the League of Legends Esports data?
  • Design
    Is the user experience and design of the project well thought out?
  • Quality of the Idea
    How creative and innovative is the project?
  • Interpretability
    How well do the participants explain the underlying methodology of their ranking system, and the factors they highlighted that influence team rankings?

Questions? Email the hackathon manager

Tell your friends

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.