(source: AFL Nation) Introduction The focus of this post is on creating AFLW team matchplay profiles, using match data from the 2017 and 2018 seasons. By drawing on match data from the 2 completed AFLW seasons thus far, this post also outlines how I think about, analyse, and present insights from small data sets. For more on retrieving and preparing AFLW match data, check out Part I of this series of posts or this GitHub repo.
(source: Wikimedia) The countdown is well and truly on. We are less than 1 week away from the first bounce of AFLW 3.0, the 3rd season of the women’s national Australian football league. As an Aussie living abroad, a footy fan, and a supporter of the increasing professionalisation of women’s sport, I’m excited to watch closely as the next chapter of the AFLW story unfolds. How will Geelong and North Melbourne, new teams to the national league in 2019, fare against the 8 teams who have participated in AFLW seasons 1 and 2?
(source: Wikimedia) I shifted across the ditch early in 2018 to take up a role with High Performance Sport New Zealand. Remarkably, the one-year anniversary of our arrival here is right on the door step; I’ve learned so much in that time, particularly around qualitative methods and analyses. I enjoy the richness of insight that can be drawn from analysing text data, but a part of me does miss getting to work with numbers as much as I used to.