Elo ratings applied to TopCoder SRM

05/01/2019
by   Fred Batty, et al.
0

We present an Elo-based rating method for ranked multi-player games. We justify a definition of performance using the logarithm of a player's rank. We customize the method for rating TopCoder SRM. We choose parameters which maximize the rating's prediction accuracy when applied to past SRM, and preserve similarities with existing SRM ratings. We evaluate the accuracy of the proposed system on the available data. Results show that the proposed system has a higher predictive accuracy than the existing SRM rating system, and hence could be a good alternative.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
09/08/2022

Opponent Indifference in Rating Systems: A Theoretical Case for Sonas

In competitive games, it is common to assign each player a real number r...
research
01/02/2021

An Elo-like System for Massive Multiplayer Competitions

Rating systems play an important role in competitive sports and games. T...
research
07/30/2023

Rating-based Reinforcement Learning

This paper develops a novel rating-based reinforcement learning approach...
research
12/23/2022

Content Rating Classification for Fan Fiction

Content ratings can enable audiences to determine the suitability of var...
research
11/28/2020

Reconstruction Rating Model of Sovereign Debt by Logical Analysis of Data

Sovereign debt ratings provided by rating agencies measure the solvency ...
research
01/26/2021

RewardRating: A Mechanism Design Approach to Improve Rating Systems

Nowadays, rating systems play a crucial role in the attraction of custom...
research
12/14/2021

An Empirical Study of Least Squares Ratings for USA Ultimate Frisbee

Ultimate frisbee is one of the fastest-growing sports in the world. In t...

Please sign up or login with your details

Forgot password? Click here to reset