Graphs in this post were inspired by an MLS article by Kevin Shank which was sent to me by @insightlane Kicking a winning score is all…
Tag: Hawthorn
Who are the Best (and Worst) Kicks in the Comp? Looking at Goalkicking in 3 Different Ways
Posted in Analytics Landscape, ExpScore, Shot Quality, and xScore
For the fourth week in a row, a player has missed a potential match-winning shot with the last kick of the game. Isaac Smith relived…
An Early Look at the Best and Worst Defences How Playing Style Dictates Where Scores are Conceded
Posted in Analytics Landscape, ExpScore, Scoring Map, Shot Quality, Team Analysis, Team Metrics, and xScore
As seems to happen more often than not these days, the frantic, high scoring pace of the first couple of rounds has started to wear…
A Fresh Way to Think About Footy – Hawthorn v Western Bulldogs Animated Ages and Age Performance Profiles
Posted in Age Profile, Analytics Landscape, Game Analysis, Team Metrics, and Trends and Historic Analysis
Followers of this blog have likely read my thoughts on the lacklustre state of AFL analytics, both inside clubs and throughout media has a whole. The…
A Fresh Way to Think About Footy – Geelong v Hawthorn Score Involvements and Close Games/SQP
Posted in Analytics Landscape, ExpScore, Game Analysis, Ladder Discussion, Scoring Map, and Team Metrics
Followers of this blog have likely read my thoughts on the lacklustre state of AFL analytics, both inside clubs and throughout media has a whole. The…
A couple of big games have shaken up the 8 completely after the last round of the Home & Away season. Not only does the…
4 Things Stopping Analytics from Providing AFL Club Success (Part 1) A Look into the Role of Analytics in the AFL
Posted in Analytics Landscape, and Opinion
This post is dedicated to my musings about the footy industry and the role of analytics both now and in the future. There won’t be much…
Match Analysis Using Shot Quality A Review of the Melbourne v Hawthorn Game
Posted in ExpScore, Game Analysis, Scoring Map, and Shot Quality
Last week I introduced a model which can be used to calculate the true quality of any scoring shot taken during a match. This basically quantifies…
I have been playing around with different types of data visualisation lately, particularly visualising scoring shots. I’m hoping to clearly see the quality of chances each team created to get a better idea of the styles they are playing and also their finishing ability. I previously looked at Goal-Kicking Accuracy in a very general sense and found that every team converts at more-or-less the same percentage (Goals/Behinds) in the long run. However, in that post I didn’t consider the quality of chances created, which is something I plan to spend much more time on in the future.