MAFL's had many years to evolve and develop, so the learning curve for a new visitor can be pretty steep. That's one of the reasons I've developed this FAQ.  ...

All MAFL predictions are attempts to foretell an aspect of an upcoming game of football: which team will win and, for some predictors, by how much or how much more likely ...

Though MAFL has explored a huge variety of statistical modelling techniques generally, perhaps best exemplified by this post from 2011 where I pitted a number of them head-to-head in attempting to ...

In a fine example of making a virtue of necessity I've steadfastly defended my practice of excluding any player information from the statistical models I build. The thought of scanning the ...

Statistical analyses aim to summarise and present AFL data in interesting or useful ways. Some of them are purely descriptive, while others shed light on specific questions.  ...

MAFL often employs statistical modelling techniques in an attempt to explain the historical variability in some aspect of football. In some cases, these models are also used in attempting to predict ...

As mentioned elsewhere, MAFL exists partly as a vehicle through which I can learn about the real-world application of a range of statistical modelling and data analytic techniques. In the lists ...

The overwhelming majority of the analysis I do in undertaken in a statistical program language called R , an open-source application that is maintained, curated, nurtured, loved and continuously developed by ...