On the Probability of Magnus Carlsen reaching 2900

08/19/2022
by   Sohan Bendre, et al.
0

How likely is it that Magnus Carlsen will achieve an Elo rating of 2900? This has been a goal of Magnus and is of great current interest to the chess community. Our paper uses probabilistic methods to address this question. The probabilistic properties of Elo's rating system have long been studied, and we provide an application of such methods. By applying a Brownian motion model of Stern as a simple tool we provide answers. Our research also has fundamental bearing on the choice of the K-factor used in Elo's system for GrandMaster (GM) chess play. Finally, we conclude with a discussion of policy issues involved with the choice of K-factor.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
03/28/2022

Becoming the World's Highest Rated Chess Player

The Elo rating system measures the approximate skill of each competitor ...
research
10/02/2019

Understanding and Pushing the Limits of the Elo Rating Algorithm

This work is concerned with the rating of players/teams in face-to-face ...
research
01/08/2022

A probabilistic tree model to analyze fuzzy rating data

In this contribution we provide initial findings to the problem of model...
research
09/22/2021

Rating transitions forecasting: a filtering approach

Analyzing the effect of business cycle on rating transitions has been a ...
research
08/21/2020

DApp for Rating

Lots of existing web applications include a component for rating interne...
research
03/22/2020

A Trustful Monad for Axiomatic Reasoning with Probability and Nondeterminism

The algebraic properties of the combination of probabilistic choice and ...
research
03/03/2023

Calibration of Quantum Decision Theory: Aversion to Large Losses and Predictability of Probabilistic Choices

We present the first calibration of quantum decision theory (QDT) to a d...

Please sign up or login with your details

Forgot password? Click here to reset