Autopsy Opening Rd - St Kilda v Collingwood

[saintbill]

Not sure that Ross gets to kick for goal though.
Or mark the ball.

He gives us the game plan to get the inside 50s - which he did.
The execution bit, he can’t

 

[Kildonan]

Total Player Ages by Club (AFL Round 0, 2026)

Club                Match Date       Total Age of Players (Days)

Gold Coast SUNS    March 6, 2026        203,115

GWS GIANTS         March 7, 2026        203,224

Hawthorn           March 7, 2026        204,913

St Kilda           March 8, 2026        205,961

Western Bulldogs   March 7, 2026        209,240

Carlton            March 5, 2026        210,891

Sydney Swans      March 5, 2026         211,048

Geelong Cats       March 6, 2026        214,142

Brisbane Lions    March 7, 2026         215,229

Collingwood        March 8, 2026        216,922

 

[bergholt]

Total Player Ages by Club (AFL Round 0, 2026)

what a weird way to present the data! averages were invented for a reason.

 

[Kildonan]

I have been attempting to use AI to calculate the exact ages of the players on the field for each club.
I kept getting dodgy data where AI kept using the average age of each club's playing list to "estimate" the age.
I decided to make the AI calculate the exact ages of the players listed as playing in Round 0 (with the ages measured in days), then I forced it add up all the player ages to get a total for each squad.

There are 23 players in each squad so for example St Kilda's 205961 days divided by 23 = average age of 8955 days which can be divided by 365.25 to get years which gives us an average age of 24.5 years

We often get told how young or old a team is, but when you average it out there is only a year or two difference in average ages. It is difficult to compare squads this way. I have a few ideas on how to better display the age profile of a squad but I am lazy and don't want to do all the work myself. I was hoping AI would come to my rescue but it is lazier than I am and will readily revert to copying erroneous data rather than calculating the actual facts to present.

 

[True Believer]

I have been attempting to use AI to calculate the exact ages of the players on the field for each club.
I kept getting dodgy data where AI kept using the average age of each club's playing list to "estimate" the age.
I decided to make the AI calculate the exact ages of the players listed as playing in Round 0 (with the ages measured in days), then I forced it add up all the player ages to get a total for each squad.

There are 23 players in each squad so for example St Kilda's 205961 days divided by 23 = average age of 8955 days which can be divided by 365.25 to get years which gives us an average age of 24.5 years

We often get told how young or old a team is, but when you average it out there is only a year or two difference in average ages. It is difficult to compare squads this way. I have a few ideas on how to better display the age profile of a squad but I am lazy and don't want to do all the work myself. I was hoping AI would come to my rescue but it is lazier than I am and will readily revert to copying erroneous data rather than calculating the actual facts to present.

You don't need AI to calculate that you're never getting that time back!

 

[PJays]

Total Player Ages by Club (AFL Round 0, 2026)

Club                Match Date       Total Age of Players (Days)

Gold Coast SUNS    March 6, 2026        203,115

GWS GIANTS         March 7, 2026        203,224

Hawthorn           March 7, 2026        204,913

St Kilda           March 8, 2026        205,961

Western Bulldogs   March 7, 2026        209,240

Carlton            March 5, 2026        210,891

Sydney Swans      March 5, 2026         211,048

Geelong Cats       March 6, 2026        214,142

Brisbane Lions    March 7, 2026         215,229

Collingwood        March 8, 2026        216,922

Check out AFL tables, will save you the time. Has the age and days of every player. For example Saints Collingwood

AFL Tables - St Kilda v Collingwood - Sun, 8-Mar-2026 7:20 PM (6:20 PM) - Match Stats