Redoing my dashboards for this season and just got my AFLW one going. Click here for predictions and charts! https://t.co/LLPeBrhLJf Some explanations in this thread...

There’s been no footy for the past two months. So Max Barry (⁦@SquiggleAFL⁩) and his mates - @Stattraction, @fuzzybluerain, @aflalytics and @AflLadder - stepped in to create Virtually Season 2020. Ken Hinkley can only dream of a year like this! https://t.co/dHqQQ9nTuh

Love this by @SquiggleAFL and stoked to be able to contribute simulated match results. This is definitely gonna help me get through this break in footy.

Anyway that's it, hope people find it useful. Keen to hear thoughts and tips too :)

Clicking a row in the live win prob tab brings up a win probability chart for that match. Here's the Freo vs Geelong game from today.

Live win prob shows assessments for excitement, leverage, tension and surprise for each match.

Sims History shows the change in probability of events across the season.

Sims Heatmap shows a heatmap of finishing positions at the end of the season.

Ranking Scatter plots whatever rankings against each other, eg. here is offence on the x axis, defence on the y axis and expected margin as the bubble size.

Ranking Breakdown shows how each teams' ranking is made up of the team and player components.

Ranking History shows team rankings across the season.

Current rankings shows latest ladder and rankings by expected margin against an average opponent. Also probabilities of winning the GF and making finals.

I'll have 2 models running for AFLW match predictions: SELO (Scoring ELO) and SELOP (Scoring ELO + Players). The player model uses a moving average of dream team points as a proxy for player quality. I'll be using SELOP for live win prob and running sims.

New blog post: A new way to think about scoring in the AFL and breaking down how matches are won and lost. https://t.co/AmyljedmK1

Something I've been looking at for a while and finally got around to posting! Some words, equations and graphs on modelling home ground advantage in AFL, including a look at venue dimensions and club membership figures. https://t.co/q7DuLHcCis

I'm looking for someone to scrape sports data...possibly several projects if work is good/affordable. Includes AFL Tables, but more @ESPNcricinfo and Sports-Reference. Any recommendations? @insightlane @MatterOfStats @TheArcFooty @SquiggleAFL @AFLLab @GRAFTRatings @AFLalytics

That's a wrap for 2019, after a rocky start to the year it ended pretty well for the AFLalytics model: On @SquiggleAFL: 1st in bits, 3rd in MAE, 10th in tips. On Monash: 1st in Gaussian, 2nd in bits, 16th in Normal. Congrats to all the tippers and all the best for 2020!

We've got 3 close games and not much chance for Essendon in 2 weeks time.

My thoughts on the AFL data landscape - if you are part of the small minority - I'd appreciate a share with the community for what its worth, this is a collection of thoughts based on my experiences - Tag all those worthy of hearing some thoughts https://t.co/ypDlZzaZPb

Is an AFL team coming off the bye disadvantaged? Some believe this to be true. But as human beings, we tend to over value recent information, so is this effect real? Check out my latest post where I use statistics to find out https://t.co/PeQ7cBC4kI.