Titled Tuesday Analysis
Statistical analysis of chess games played in Titled Tuesday events on chess.com
Overview
As part of this project, I created a dataset of chess games played in “Titled Tuesday” events on chess.com between July 2022 and December 2023 by scraping the website. Then, I executd various statistical analyses on it. The goal was to find interesting patterns and regularities in online chess tournaments.
Chess is chase
Statistical tools applied were:
- Descriptive statistics (mean, number of wins, losses, rank distribution).
- Game accuracy distribution analysis between tournaments rounds to find differences in accuracy between initial and final rounds
- K-means clustering and k-nearest neighbors analysis.
- Linear regression to predict game results based on player accuracy.
- Statistical tests (Kolmogorov-Smirnov test, Shapiro-Wilk normality test).
- Kernel Density Estimation (KDE) and visualization
- Maximum Likelihood Estimation of mean and standard deviation assuming chess data normality
- Correlation analysis of score and accuracy (Spearman’s rank corellation coefficient)