HPN (Hurling People Now) was started in 2014 by Cody Atkinson and Sean Lawson, two Canberra-
based sporting obsessives.

HPN’s work has been featured or referenced in The West Australian, The Age , ESPN, The Saturday Paper, The Roar and BigFooty, to name just a few.

Most of HPN focuses on AFL coverage, but over the years HPN has covered local Australian football,
rugby league, rugby union, NFL, basketball, the Olympics, soccer and hurling (which was the impetus
for the site’s name).

If you want to get in touch with us, contact us via the comments below any article, email us at
hurlingpeoplenow [at] gmail [dot] com, hit us up on twitter (@hurlingpeople, @arwon,
@capitalcitycody) or via Facebook at facebook.com/hurlingpeoplenow.

If you want to read more about smart footy analysis, we reckon you should give these people a read:
The Arc
Figuring Footy
Matter of Stats
Insight Lane
Footy Gospel
Plus Six One
Analysis of AFL
Ranking Software

Almost all the data for HPN comes from the following sources:

Unless cited elsewhere, the data for all draft information comes from Draft Guru (which is an
absolutely fantastic resource). The indispensable AFLTables forms the backbone of the on-field
statistics part of HPN.

Where we write about other sports, we try to reference information sources where possible. If we
have left something out, drop us a line and we will try to let you know the source.



  1. Hey HPN,

    Just going through the PAV as you have seen on twitter (@bikkyboo), and I have a few questions about the formulas (i.e. mine don’t match yours, so I have obviously missed something critical). Would be good to run them by you if you have a minute spare,



    1. Hi Liam – what program are you using to run it? And what are the values that you are getting – overly high or negative values?



  2. Hey HPN,

    I think the work you’ve done here is amazing. I’m wondering now if you somehow cross-reference you PAV and PAPLEY numbers to distribute salaries under the salary cap. We know hot draft pick have a high trade value, but the variability is too high to commit to large salaries. Yet a player like Yeo, who is West Coast’s most trade valuable player, probably warrants their highest salary given he’s 24 years old and has less performance variability going forward. Is there some formula that can be developed that indicates a player’s share of the salary cap.


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