R

Applying Pythagorean Expectation to Pro Sports - An Intro

Introduction This piece is the first part in a series of posts I will be releasing that will look to analyse how many wins teams should’ve won given their performances over the season and compare them to their actual wins achieved.

The Agony and the Ecstasy of my first open source contribution

For the last year or so, I’ve had this desire to contribute to an open source R package, but like a lot of people, I found the thought of tackling the task frightening.

All roads lead to gganimate

This post aims to introduce you to animating ggplot2 visualisations in r using the gganimate package by Thomas Lin Pedersen. The post will visualise the theoretical winnings I would’ve had, had I followed the simple model to predict (or tip as it’s known in Australia) winners in the AFL that I explained in this post.

Effectively Simplifying AFL Tipping

I feel like I always overthink footy tipping. During each round, I make myself believe I have some sort of secret sauce and conjure up visions in my head of nailing a solid roughy… and then fall flat half way through the season and give up…

An In Depth Analysis of FIFA 19

This post was originally released on the Kaggle FIFA 19 Complete Player dataset that was kindly collected by Karan Gadiya. Many thanks Karan. The link to my original kernel is here

A tribute to Jarryd Roughead with some obscure data

Jarryd Roughead - four-time Hawthorn premiership player and all round great man - formally announced his retirement this week, with his last game coming over the weekend against the Gold Coast Suns.