analytics

Playing List Ages at the Pointy End

This is the second installment at my look at the age distributions of each AFL team for the 2020 season. The fist post (which can be found here), looked at the impact that the statistic chosen to report out the age profiles can have, specifically using the mean versus the median.

Analysing AFL Team Age... Properly!

After seeing my beloved Hawthorn Hawks tweet out an article on their website regarding player ages for each team, it got me riled up that the media love to cite Champion Data’s “average age” as their measure.

How the narrative changed after the Boomers' win

On the 24th of August, 2019, the Australian Men’s Basketball team, the Boomers, created history when they were able to enact their own David and Golliath moment, taking down Team USA for the first time ever.

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.

Building a Linear Regression Model in R to Predict AFL Crowds

Introduction There is a lot of talk about crowd behaviour and crowd issues with the modern day AFL. I personally feel the crowd issues are a case of business-as-usual; I’ve been going to AFL games on-and-off for close to three decades and the crowd behaviour is no different today as it was 20 years ago… just now everyone with a phone and Twitter account is a journo.

Using Data To Determine Which AFL Fans Jump On The Bandwagon

Introduction This post is the first in a two-part series on AFL crowds. This analysis will be a thorough look at AFL crowd numbers over the last 20 years, and will aim to discover which team’s fans are the biggest bandwagon jumpers.