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Global Power Rankings Hackathon

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Connect with the participants – support your favorite projects by liking, sharing, and commenting on them.
Heimer's Hackers Power Rankings
Heimer's Hackers Power Rankings

We train machine learning models to predict game outcomes. Then, we use these models to create power rankings by simulating round robin style tournaments. Rankings are displayed on our web app.

Winner Winner
Dylan Wattles Sebastian Gonzalez Justin Chung Sarah Thraen + 3
10 2
Global Esports Ranker
Global Esports Ranker

We will be developing a global ranking system using a modified elo system that will allow comparison of the different regions.

Winner Winner
Osmond Jian Joe Hoang Akmar Chowdhury
1 0
Oracle Lens
Oracle Lens

The fastest, sleekest portal for global LoL team rankings.

Winner Winner
Wojciech Jakub Ciok Tomasz Nawrocki Kacper Zyla Bartłomiej Granat
2 0
Riot-AWS Power Rankings including 2023 Worlds Predictions!
Riot-AWS Power Rankings including 2023 Worlds Predictions!

Powered by AWS, we've created an intuitive tool that predicts global, tournament, and custom rankings for past and current professional League of Legends teams.

Winner Winner
Ryan Seo Donggyu Kim Michael Tandyo Matthew Wu + 1
0 0
K-Weighted ELO Rankings
K-Weighted ELO Rankings

Providing the most comprehensive league of legends pro team rankings based on the most relevant game data that contributes towards a teams success.

Winner Winner
Kanisk Chakraborty
1 1
Rift Ranks
Rift Ranks

Unleashing the Power of Data: Experience Powerful and Convincing Ranking System and Seamless Navigation on Our User-Friendly Webpage

Winner Winner
Ali Tian Megan Zhong Xiyan Shi
2 0
The Commanders
The Commanders

Fans want to know which teams are the best but other rankings are often subjective. Our project provides a data-driven approach to ranking teams based on their performance in game to create a ranking.

Winner Winner
Alex Osier shogle-dev Xavier Julius Sydney Luce
1 0
SHREK
SHREK

Stupidest Homemade Ranking Ever Known

Winner Winner
Redouane Elghazi Lucas CAUSSAT KevinMendes Mendes victor Kauser
5 1
Rankings.lol
Rankings.lol

LoL power rankings + prediction of games website.

Winner Winner
Aarij Wahab Scott Tram
2 1
Game of Lanes: Finding winning strategies with data and ML
Game of Lanes: Finding winning strategies with data and ML

We analyze over one thousand in-game features across over ten thousand games using machine learning to predict and understand how teams build their characteristic styles and advantages.

Winner Winner
Brian Hsu
2 1
PoroRank
PoroRank

We built a serverless web application on AWS using the Glicko 2 model for our ratings process.

Omar Ahmed Aisha Ahmed Hajar Ahmed Zelda Cole
0 1
SKT2
SKT2

Ranking Today's Best, Celebrating Tomorrow's Champions

Adnan Nadeer Taekwan Yoon Tanyaradzwa Gozhora Sally Cha + 3
0 0
Harshroxnox
Harshroxnox

Combining the chess elo rating system that has constant rating fluctuations with our model that is going to decide what the fluctuations will be.

Harsh Kumar Shreyansh Kumar Jenes Sonkar
0 1
ForgeLol
ForgeLol

Our ranking system uses a modified glicko ranking system to accurately rank teams across regions by taking into account both in-game stats, participants, and match outcomes

Tim Mose yian Wong
0 1
League of Legends Team Based Elo
League of Legends Team Based Elo

An elo matchmaking system of teams based on performance. Machine Learning to determine the impact of laning stats on match outcome, then used to seed team elos.

Andy Zheng
0 0
AWS - LoL Rankings
AWS - LoL Rankings

Ranking system for esports deployed using Amazon Web Services

0 0
ToT
ToT

Analyzing and Ranking eSports Teams with AWS Services

Rulin Li s200200124 RubyCheese Zhou
1 1
Player and Team Based Machine Learning LOL Ranking System
Player and Team Based Machine Learning LOL Ranking System

We feed the concatenation of a the embedding of a player's performance with certain metrics of the team with likewise of another team to determine the winner, and sort the pool of teams accordingly.

Jerry Xu Yiju Li ZLTJohn
0 1
Esports Power Rankings
Esports Power Rankings

Statistical Approach, Rankings displayed on website, Different skills calculated for player and region

Reuben Sonnenschein
0 1
LoLPRMaster
LoLPRMaster

A performance-weighted Elo rating system powered by Machine Learning models and Particle Swarm Optimization

Christian Muñoz July Rodriguez
2 0
League of Legends ELO Rankings
League of Legends ELO Rankings

ELO rankings based on how they are calculated in chess!

Abdulhadi Sultan Qureshi
1 0
League Insights Pro
League Insights Pro

"League Insights Pro": Dive deep into comprehensive game data analytics, with crucial stats. Optimize your strategies and elevate your gameplay with actionable insights. Master the Rift!

Renate Gouveia
0 0
Duffy4Commish
Duffy4Commish

Grab All the data we can, Run out of space on my Local Storage, Panic, Delete All the games, filter down to a more manageable size, then last minute cram out a website with the worst UI Possible. :)

Andrew  Quandt
0 1
Go Next
Go Next

An aesthetic and concise rankings of the best teams in the world.

Justin Rabe Lily Mae Pido Gabe Santos
2 0

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