Improved Chess Rating Comparisons Using Nonparametric Statistics

This post will describe how we create ChessGoals rating comparisons. Players with recent games in both categories are combined using rank statistics.

Trial-based dominance for comparing both the speed and accuracy of stochastic optimizers with standard non-parametric tests - ScienceDirect

Boundary score distinguishes boundaries better than monotonic

Statistical Analysis of the Elo Rating System in Chess

Statistical Analysis of the Elo Rating System in Chess

Table 3 from A chess rating system for evolutionary algorithms: A new method for the comparison and ranking of evolutionary algorithms

What Chess and Moore's Law teach us about the progress of technology – Praxtime by Nathan Taylor

Improved Chess Rating Comparisons Using Nonparametric Statistics

Comparing Elo, Glicko, IRT, and Bayesian IRT Statistical Models for Educational and Gaming Data

Frontiers Visuospatial working memory and attention control make the difference between experts, regulars and non-players of the videogame League of Legends

Does number of chess puzzles solved influence average player rating after controlling for total hours played? A critical two-factor analysis based on data from lichess.org (statistical analysis - part 6) : r/chess

Darwinian Selection Discriminates Young Athletes: the Relative Age Effect in Relation to Sporting Performance, Sports Medicine - Open

Flowchart of experiment's execution in CRS4EAs.

Lessons vs Improvement: The Stats