This post presents the use of both Bayesian and frequentist approaches to solve the famous Monty Hall problem.

This blog post employs the concept of critical speed to analyse the pacing strategy in the 1500m event finals at the Tokyo Olympics.

This article presents how Bayesian inference explains why different individuals appraise similar evidence differently.

This post visualises the playing styles of EPL football teams with the use of radar charts.

This post examines the prevalence of the end spurt in marathon running based on data from Standard Chartered Singapore Marathon 2019.

This post examines whether Liverpool's title winning success is attributed to luck or genuine performance based on the expected goal metric.

This article documents the visualisation of Singapore's Covid-19 clusters on the map using R programming.

This post examines the whether variation in marathon running pace differs among runners of different performance levels.

This post documents the use of Python to scrape popular running books from Goodreads using the BeautifulSoup package.

This post writes about the phenomenon of reduced blood lactate concentration found with increasing altitude.

This article visualises how the covid-19 pandemic has evolved in certain countries using animated line plots on R.

This article documents a walk-through on web scraping data on English Premier League teams from Wikipedia and visualise the data using R.

This post examines and compares the competitiveness of different English Premier League seasons based on coefficient of variation metric.

This post explores the use of logistic regression to examine whether ball possession can predict wins in football, with data from EPL 18/19.

This post writes about the importance of studying perception in sport science domain, especially in the context of regulation of exercise.