This Week In Football is a collection of some of the best in football currently outside the walls of AFL clubs or broadcasters. Each week a curated grab bag from regular contributors and special guests will provide insight into and beyond the game on subjects of their choosing. For more about our contributors, click here.
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Before the Bounce
Can you really boss football?
There might never be a definitive answer to that philosophical issue. In the meantime Greg Swann will be tasked with what might be one of the hardest jobs in the code.
As of Monday, the former Brisbane Lions head honcho steps into AFL House in a newly created “Football Performance Executive” role in the executive suite.
Similar jobs have created vitriol for those who have sat in the chair. Names like Hocking, Scott and Kane have been spat out in colourful terms by those in the outer whenever any change to the game is made.
Swann will rapidly become the face of the changes that will inevitably be made to the sport in the coming years. Swann has already flagged the “speed of game” as something that may need to be addressed. Concussions and head knocks also continue to be a major issue, with contact and tackle rules surely being investigated for potential change.
Whatever decisions the league makes, there will be an element of footy fandom that just wants the game to return to what it was. Keeping those people, the clubs, the media and the rest of the AFL executive happy is a tough tightrope to walk.
Swann will have a tough job ahead in an increasingly combative football conversation.
This week in football we have:
If only there was an easier way to talk about goalkicking accuracy
Lincoln Tracy – @lincolntracy
Last week there was an article on the AFL website that praised the goalkicking accuracy of the Greater Western Sydney Giants at their home ground, Engie Stadium (the Sydney Showground), compared to how other teams perform at the venue, as well as the league-wide average:
“For the past four seasons, the Giants have an accuracy rate of 54 per cent at home, while the opposition convert at just 43 per cent at Engie Stadium. The League average in that time is 49 per cent, meaning the Giants at home are well above AFL average, while their opponents are well below it”
This piece raised a few eyebrows among some of the contributors to This Week In Football, primarily because it focused solely on goalkicking accuracy (goals vs behinds) and made no mention of the expected score (or xScore, for short).

If you’re not familiar with the term, the expected score concept looks at every shot on goal each team has over the course of the game and calculates how many points each shot should have scored based on historical scoring data. The historical data considers a range of factors when determining the xScore, including how far away from goal the player is, the angle of the shot, whether they are taking a set shot or are under pressure.
Different analysts and organisations have created their own xScore models, including Andrew Whelan (Wheelo Ratings), Adam Tunney (AFL xScore), and ESPN. But ultimately all of the models indicate whether individual players or teams have scored more or less points than what they should have. It’s a more sophisticated way of looking at scoring among AFL teams compared to simply looking at goalkicking accuracy.
And we don’t have to look too far back in order to find a game that highlights some of the differences between goalkicking accuracy instead of something slightly more sophisticated: the clash between Hawthorn and Fremantle in Round 18, where Fremantle won by 15 points. The Dockers were more accurate from a goalkicking perspective (12 goals, five behinds from 17 shots at goal; 60%) compared to the Hawks (nine goals, eight behinds from the same number of shots, 40.9%).
However, Fremantle under-performed from an xScore perspective while Hawthorn essentially scored as expected – primarily because of the very small number of shots from high-value positions. Andrew Whelan’s shot map (below) highlights this quite nicely.

Credit: Andrew Whelan
So now that we have a better idea of what xScore is and how it is more nuanced that goalkicking accuracy alone, let’s look to see how the Giants (and their opponents) perform at Engie Stadium with respect to xScore using Adam’s AFL xScore data over the same timeframe as the original article (2022 to 2025).
Over the past four seasons Greater Western Sydney have exceeded their expected score by an average of at least 4.9 points while playing at the Showgrounds, and have exceeded their expected score in over half of the games they have played. This is well above what is seen for their opponents and the league more broadly with respect to both the average difference between the expected and actual scores, and the proportion of games where the actual score exceeds the expected score.

Examining the xScore data also shows that the Giants’ performances at the Showgrounds in 2025 is somewhat of an outlier compared to other years, unlike what is seen when we only consider goalkicking accuracy. GWS have kicked goals from more than half of their shots in four of their six games at the venue so far this year and exceeded their expected score in all but one of the games.
The two matches with sub-50% goalkicking accuracy were the Opening Round clash with Collingwood and their Round 10 encounter with Fremantle, while the Fremantle game is they lone match where they did not exceed the expected score. Astute observers will notice that the Dockers clash is the one game the Giants have lost at the Showgrounds this season.
It’s a much different picture at Manuka – the Giant’s home away from home, however. GWS perform significantly below average on each of the metrics, and their opponents seem to have good years and bad years when playing in the nation’s capital. It therefore comes as little surprise to see that the Giants have a much better record at the Showgrounds (19-10) compared to Manuka (4-12) over this period of time. Fans of the orange team will take some comfort in the fixture, with the Giants slated to play two more games at their home base in Sydney and only one more in Canberra.

Other teams who have significantly outperformed their opponents on xScore are Sydney at the SCG (average difference in proportion of games above xScore of 23%, even with there being no difference to this point in 2025), Hawthorn at York Park (+21%), and Adelaide at the Adelaide Oval (+20%). At the other end of the spectrum, Melbourne at the MCG (-17%), Brisbane at the Gabba (-19%), and Richmond at Docklands (-38%) tend to score below their xScore more frequently compared to their opponents.
Building a Threat Index
Is there a more frustrating sequence as an AFL fan than when your team concedes a goal against the run of play?
Every fan has experienced it before. A sustained period of territory and possession dominance, only for the opposition to slingshot down the other end and score a goal – killing off all ‘momentum’ with one big giant sucker punch.
It was noticeable in the Richmond vs Carlton clash in round one, where Carlton dominated all night peppering Richmond with a barrage of inside 50s only to find themselves down by 11 of the final siren; or Gold Coast’s back-to-back goals following Collingwood’s 40-point comeback in round 18; or Brisbane’s inability to capitalise in the last 10 minutes of their round 13 clash against Adelaide. Currently, we can tell the story through a combination of territory, possession, inside 50s, expected scores. But there isn’t an all-encompassing metric that measures threat. That’s what I’ve attempted to do in this piece.
What is it?
Threat is derived from my previous expected threat model with elements of equity ratings. It aggregates the maximum probability of scoring a goal from each chain across a rolling (approximate) 5 minute window to determine which team had the more threatening chains.
How is it calculated?
The goal scoring probability is calculated using field position and possession states – set and general play – for every possession in a chain. It then derives the maximum goal scoring probability for the team that owns the chain.
Examples

Takeaways:
- Carlton was more threatening for large parts of the game
- Richmond managed to score 7 goals in periods where Carlton was more threatening compared to Carlton’s 1 (which now allows us to understand how many goals teams score/concede against the run of play)

Takeaways
- This game was a lot more even with both teams scoring goals against the run of play
- 3 of Adelaide’s last 5 goals came during periods when Brisbane had greater threat
- The most dominant period of play came in the last 20 chains when Brisbane failed to capitalise
Next steps
This is still somewhat of a work in progress and requires some further tweaking. Any feedback is welcome.
Next week I’ll detail which teams lead the league in scoring and conceding against the run of play.
P.S Please @ me if you’d like me to run the viz for any specific games from the season so far.
Shark Week
Emlyn Breese / CreditToDuBois.com
There’s a lot still to chew through in the data behind last week’s ruck piece.
Given that Shark Week starts this Sunday this topic seems only fitting.
For those unaware, Champion Data gives a definition of a sharked hitout as “A hitout that directly results in an opponent’s possession.”
[author’s note: I’ve had to infer sharks from the data I’ve got which probably results in some false positives. I’d expect my numbers to be a little higher volume and lower quality, but should still be broadly representative]
So, who is Jaws to the AFL’s Amity Island?
Jack Macrae has a clear lead feasting off opposing rucks, and the list overall isn’t too surprising – elite inside midfielders who are great at winning their own ball.
On the other side of the ledger it’s Matt Flynn who’s chumming the water most regularly this year.
If we expand it out to a team-wide scale we can find Adelaide has the worst differential in the league between sharking and being bait, which isn’t totally surprising as Reilly O’Brien gets sharked regularly.
St Kilda being on top is somewhat surprising, while the Bulldogs at #2 are to be expected with the mids available to them.
I’ve got data going back to 2017, so let’s see if there are any particular feeding frenzies. On top we’ve got Brisbane feasting on Adelaide to the tune of 26 sharks in their round 9 matchup last year.
Finally, over that expanded timespan who of our sharks has a taste for a particular player?
Have we built the AFL where the footy people are?
Sean Lawson
Despite the dramas around the Tasmanian team, another round of expansion talk was kicked off by media reports suggesting that the WAFC is starting to take the question of a third team in Western Australia seriously.
TWIF’s own Joe Cordy also posed a question related to the expansion question, asking what a new AFL created with no history might look like:
Logically, the best way to figure out where teams should be based would be to go where footy fans are. Fans are a nebulous thing to define The polling company Roy Morgan rather notoriously likes to publish survey data from a market research perspective showing Sydney and Brisbane with the largest fandoms in the league.
But Roy Morgan wants to sell fan profiles to advertisers, and therefore privileges name recognition and extremely casual interest. A large majority of their profiled “fans” don’t attend games and a solid percentage don’t even watch on TV.
We need a firmer basis for identifying where the football fans are than that, and luckily the Australian Sports Commission runs a large survey called Ausplay that collects information about sport participation. Playing footy is a pretty reasonable proxy for where the “footy people” are.
Fairly obviously there is a preponderance of Victorians playing footy, about 40% of the national total, as well as a surprisingly tight spread across the other four mainland states. These numbers mean Victoria punches above its weight in national talent contributions, as over half the player pool are from Victoria.
Correspondingly, NSW and Qld produce far fewer AFLM players than their footy player base would suggest, which is down to many historical and cultural factors.
There is also a pronounced gender split in footy demographics by state, especially for adult women’s participation:
Simply put, it appears that North of the Barassi line, footy is more of a women’s game while women’s participation lags in parts of the heartland.
Converting the national participation shares to the ideal distribution of an 18 team league we get the following breakdown of teams in a fresh start:
This is not too different from today’s setup. Victoria is over represented in the AFL, unsurprisingly, but still would warrant 7 teams in an evenly distributed competition.
With 7 Victorian teams in our “fresh start” league, compared to the contemporary AFL the three “extra” teams would be allocated to Western Australia, New South Wales (more on that in a moment) and Tasmania.
It should be said, against various arguments to rationalise the Victorian clubs, that the difference between 7 and 10 Victorian teams is probably not that substantial from a football finance perspective. Those three extra teams located near the big teams would be generating a lot of economies of scale, saving travel costs, and boosting overall attendance by bringing a lot of extra people through the gates as away fans at the many Victorian derbies which occur.
But let’s get back to the question of expansion, and in particular, that suggested under-representation of NSW. This number looks odd on the face of it – New South Wales with the third most footballers of any state? And potentially warranting a third team, like footy powerhouse Western Australia?

As any student of footy should know, though, the unique thing about NSW in Australian football is that a lot of its football base is in the south and east of the state, rather than in Sydney. South of the Barassi Line, things get AFL focused.
We can more or less quantify how much this matters to NSW footy numbers.
Ausplay prior to 2023 had local government area participation estimates for Albury, Wagga Wagga and Bega which all placed Australian football participation at over 6%. Most other LGAs in NSW were too small to have data, or situated further north without footy participation breaking into the top 10 activities.
If we extrapolate those Albury and Wagga participation rates out against the population of the southern NSW Riverina and Murray regions as a whole, we get probably about 16000 footballers in that region, more than in NT and not too far below the number in Tasmania.
But then of course, there’s also a notable city of a half a million people sitting surrounded by southern NSW, with another roughly 12000 footballers.
Surrounding Canberra is a region which, while not footy heartland, can be estimated using ACT participation rates to maybe have about 6000 footballers as well.
Putting all that together, we can see that there’s a largely forgotten football region, with more footy people than the current new expansion location of Tasmania. It is a region centred between Albury, Wagga and Canberra, though also stretching a long way west.
Adjusting our quotas to split NSW and combine the southern regions with the ACT, we can see that our third NSW quota reassigns fairly comfortably towards the Barassi Line:
Around the Grounds
- Ricky Mangidis at Shinboner has an excellent breakdown of Collingwood’s midfield approach and what the Suns did against it.
- It’s worth reading up on Barrie Robran, regarded by many as one of the best handful of players in the game’s history, after his passing this week. Daniel Keane for ABC covers him here, Dwayne Russell talks about his personal experience for SEN, or you can listen to Bruce McAvaney pay tribute to him.
- With AFLW crowds in Melbourne seemingly lagging the other capital cities, there’s talk of venue redevelopment and consolidation covered by Gemma Bastiani at the AFL website.
- Henry Belot at the Guardian reports on suggestions the Victorian sportbetting regulator may intervene in the AFL relationship with bookies as the league tries to recieve more money per bet while expressing concern about growing integrity risks.