2019 team rankings according to Champion Data | Page 5 | BigFooty

2019 team rankings according to Champion Data

Discussion in 'AFL - The Australian Football League' started by RUNVS, Nov 29, 2018.

  1. RUNVS

    RUNVS Hall of Famer

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    It isn't an exact stat, though I think it should be, but I find that metres gained divided by disposals is a good way to judge players that get cheap stats.

    I did this a few years ago but

    Heeney - 328m (20.6 disposals)
    Parker - 307m (25.3 disposals)
    Kennedy - 305m (28.8 disposals)
    Mills - 295m (17.3 disposals)
    Rampe - 285m (16.6 disposals)
    Jack - 281m (17.7 disposals)
    Hannebery - 280m (24.7 dispoals)
    McVeigh - 266m (18.5 dispoals)
    Rohan - 255m (9.6 disposals)
    Grundy - 253m (16.8 disposals)
    Towers - 224m (14.7 disposals)
    Papley - 233m (15.6 disposals)
    Cunningham - 207m (14.2 disposals)
    Melican - 197m (11.9 disposals)
    Hewett - 162m (18.7 disposals)

    So in other words per disposal, these are were the Swans most damaging players

    Metres for every disposals

    Rohan - 25.8m
    Franklin - 25.7m
    Newman - 19.2m
    Jones - 17.9m
    Rampe - 17.2m
    Mills - 17.1m
    Lloyd - 16.7m
    Melican - 16.6m
    Heeney - 15.9m
    Jack - 15.9m
    Towers - 15.2m
    Grundy - 15.1m
    Papley - 14.9m
    Cunningham - 14.6m
    McVeigh - 14.4m
    Parker - 12.1m
    Hannebery - 11.3m
    Kennedy - 10.6m
    Hewett - 8.7m
     
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  2. Coaster2012

    Coaster2012 Premiership Player

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    Not that we all took CD seriously anyway, but this has to be the nail in the coffin. Anytime from now on, when anyone brings up CD in their arguments, we can just reference these statistics.
     
  3. LightTower4

    LightTower4 Club Legend

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    The only stat that matters is how many goals and behinds are scored.
    Every year they come up with a new metric. What's it going to be in 2019? Ball kicked lace in versus lace out?
     
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  4. Footypie32

    Footypie32 especias secreto

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    I don't think this should effect CDs credibility. Rather, I think it shows the limitations of statistics. Especially in AFL.
     
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  5. MrJoel

    MrJoel Never doubted Jed

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    To be fair, aside from West Coast (who nobody rated pre-season this year), this is a pretty reasonable 2019 ladder prediction for mine.

    1. Melbourne
    2. Adelaide
    3. Richmond
    4. Essendon
    5. Collingwood
    6. Geelong
    7. GWS Giants
    8. North Melbourne
    9. Hawthorn
    10. Brisbane
    11. West Coast
    12. Port Adelaide
    13. Sydney
    14. St Kilda
    15. Western Bulldogs
    16. Carlton
    17. Fremantle
    18. Gold Coast
     
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  6. Joao

    Joao Norm Smith Medallist

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    We are worse than Carlton! Clearly CD is bollocks...

    Should enter CD in the annual BF ladder prediction and see how it does. The ladder looks mostly plausible (obvs not the Freo part :p) so wouldn't be surprised to see it do comparably well. It at least doesn't have any team bias (even if it has plenty of role bias).
     
  7. Sttew

    Sttew Premium Gold

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    Who's asking?
    The data is based on the past 2 years, not just 2018
     
  8. RUNVS

    RUNVS Hall of Famer

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    Here is a random question, and one not good enough for its own thread but I think is interesting, but if you were to make a best 22 based on one stat, and one stat alone, which stat would you pick?

    By that I mean lets say you pick marks, that means you select a best 22 based on the player who takes the most marks for each position, so the ruckman who took the most marks on average, or the half back who took the most marks.

    For me I would probably go with metres gained. Sure you would find some flawed players in the team, but I think it would be quite a damaging team when attacking, even if it might be a little defensively limited.
     
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  9. Joao

    Joao Norm Smith Medallist

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    Hmmm, interesting question. I think there are going to be massive holes in whichever stat you pick but can't help but think contested possessions is a good place to start. You got to have the ball before you can gain meters and most meterage players are outside types.

    Either that or maybe pressure acts.
     
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  10. AmericanAFL

    AmericanAFL Debutant

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    Are metres a widely available stat?
     
  11. RUNVS

    RUNVS Hall of Famer

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  12. Coach_Required

    Coach_Required Club Legend

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    There's always one poster who doesnt get the joke
     
  13. blitzer

    blitzer Norm Smith Medallist

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    I dunno how it would go but score involvements would be pretty exciting. Probably means you'll have a fairly offensively geared defense but that's not so bad. You'd probably end up with key defenders like McGovern and Hurley I'm guessing.
     
  14. RUNVS

    RUNVS Hall of Famer

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    Score Launches you would get Lachie Henderson and Aaron Fransis and Goal Assists you would get Tom McDonald and Daniel McStay (though if you count Tom as a forward then the next choice would be Daniel McStay and Brody Mihocek).
     
  15. Sttew

    Sttew Premium Gold

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    Who's asking?
    Didn't have my sarcasm meter on. My bad
     
  16. The Bomb

    The Bomb Premiership Player

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    https://www.foxsports.com.au/afl/ex...3/news-story/d1ae71a8b8ca64ea9391b31d71536506

    Francis averaged 13.2 disposals and 6.4 marks in the Bombers’ last five games of the season, lighting up matches with his incredible ability to intercept and take a hanger.

    Indeed, his performances were so stellar Champion Data has rated Francis as the best relative rated player in the AFL, leading the likes of Collingwood ruckman Brodie Grundy (+74%) and Brownlow Medallist Patrick Dangerfield (+72%).
     
  17. Jade

    Jade Smug lives here.

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    Hardly a surprise. His talent has never been in question, only his application.

    We'll see how he goes in 2019.
     
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  18. Tony_Clifton

    Tony_Clifton Club Legend

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    It is actually pretty interesting how they work out their player ratings. Nevermind that they take the last forty games into account but how they figure out how much value to assign to each involvement in the play.

    Someone posited earlier that a tackle and free kick in the forward fifty is worth more than one in the midfield. CD take this into account.

    Basically what happens is they use machine learning to figure out the difference in expectations for the next score before and after an event.

    Here is an example. Sidebottom has the ball in the middle of the ground. Expected next score is Collingwood. Its in the middle so instead of being +6, the machine learning gives it, say +1.2 based on historical averages. Sidebottom is tackled by Shuey resulting in a free kick to WestCoast. Now west Coast is +1.5. The net difference of shueys tackle is 2.7 (1.2 +1.5).

    Tom Barrass has the ball in the goal square (expected next score wce 0.2), he is subsequently tackled by Stephenson resulting in a free kick on the line. This results in an expected next score of +6 coll. Stephenson play generates 6.2.

    I hope this helps.
    For more information please refer to https://researchbank.swinburne.edu.au/items/248ec147-72d7-448c-a19d-49f01d90b12f/1/

    This is a link to Karl Jackson's thesis.
     
  19. Tony_Clifton

    Tony_Clifton Club Legend

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    The media and punters are using the ranking to support their opinion that CD are ludicrously incorrect and statistics are stupid. Might we be better by trying to learn something from this. How does CD create these rankings? It surely wasnt stated behind the paywall. Given how they were created is there something to glean from unusual rankings like Brisbane and WC?

    In this thread almost all the posters have been the drunk. And who can blame them when youve got BT and the duck on the tv catering to the lowest common denominator
     
  20. nameless

    nameless Brownlow Medallist

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    Well based on the last 50 games (which is about 2 seasons worth of data) West Coast have the 2nd best win %, Brisbane have the 3rd worst.

    To be honest, apart from that howler the list isn't terrible.
     
  21. Tony_Clifton

    Tony_Clifton Club Legend

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    Thought you guys might find this interesting.

    Check out @AFLPlayerRating’s Tweet:
     
  22. Blues_Man

    Blues_Man Brownlow Medallist

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    wow ..this is ignorance on full display
     
  23. Blues_Man

    Blues_Man Brownlow Medallist

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    Is that you Donald ?
     
  24. Jade

    Jade Smug lives here.

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    Grammar is too good for Derp Donald.
     
  25. Tony_Clifton

    Tony_Clifton Club Legend

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    "Champion Data have released their list of how many elite players your club has entering the 2018 season. Classified as the top 10 percent of players in their position over the past two seasons"
    Does this help?
     
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