Here2tellyouwhy
SA GREAT
Top 10.You having him as the 4th overall forward?
No one's going to have all top 6 FWDs in their team.
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Top 10.You having him as the 4th overall forward?
Out of interest, plugged his 2014 / 2015 scores (70-75 avg - might have scope to go higher if clear no. 1 at GCS) and starting price into a price model.
The winner will have the 4th best overall forward @ f4. 110%no, he is saying the winner will have him at F4... meaning the 4th best forward in THAT team...
The winner will have the 4th best overall forward @ f4. 110%
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Sounds pretty advanced, but surely you just go
profit = av * 5.1 - cost
(?)
You speak the truth, but then pick Motlop haha.No
Didnt happen last year and can categorically say no overall winner has finished with the best averaging player in each position. It simply hasnt happened.
And MOST importantly (i feel we have this and the capt/vc discussion every year)
Now all take note...
A PLAYERS AVERAGE IS ONLY RELEVANT FROM THE TIME YOU HAVE THEM,
EITHER WHEN YOU START WITH THEM OR WHEN YOU TRADE THEM IN. UNTIL YOU GET RID OR KEEP THEM.
The myth of 3rd best mid or 5th best defender or 2nd best fwd is just that
A MYTH
You speak the truth, but then pick Motlop haha.
Last years winner had the 4th overall forward![]()
If he gets the number 1 ruck role at the tiges he will be in my team.Is going nankervis to risky? Also when is SuperCoach open to the public lads?
Foward or ruck?If he gets the number 1 ruck role at the tiges he will be in my team.
Lynch (GC). Think he's in for a massive year.I pick a lot of "different " players.
Everyone on here knows that
I also manage to fluke a pretty high overall rank tho..
And yes. I'll be picking Motlop if he gets thru preseason uninjured.
Who do you believe will be the F4 for "average" at years end?
FwdFoward or ruck?
if you read it, he said best averaging player, not 4th....You speak the truth, but then pick Motlop haha.
Last years winner had the 4th overall forward![]()
He actually finished with the top 4 averaging forwards..if you read it, he said best averaging player, not 4th....
nothing wrong with Motlop, very good player
Waiting patiently for my jock magazine copy! P.s. I'm not arguing with or having a shot at anyone. Just having an opinion and adding it to the discussion.For those interested in quite a detailed Goldy analysis:
http://www.jockreynolds.com.au/2017/01/14/goldmember-rising/
Opinions will differ on some assumptions, but interesting data and premise.
He actually finished with the top 4 averaging forwards..
Unless you start all six top averaging forwards. (Which no one does)So he finished with Daniel Wells? 4th highest average of the fwds.
Over his last 11 weeks he averaged 59 (this icludes 4 zeroes for being injured) if you take his last 7 playing games he averages 92ish.
Yet for the year has a 101 average, 4th best fwd for 2016.
Simply looking at "the season" average is not the waybto gauge the success of a player in your SC side
Daniel Wells was 5th.So he finished with Daniel Wells? 4th highest average of the fwds.
Over his last 11 weeks he averaged 59 (this icludes 4 zeroes for being injured) if you take his last 7 playing games he averages 92ish.
Yet for the year has a 101 average, 4th best fwd for 2016.
Simply looking at "the season" average is not the waybto gauge the success of a player in your SC side
Interesting, interesting. So do you run some simulations based on players past av and std, and take an average? I would have thought it comes out the same if you assume equal chance of high/low scores. If you are using an asymmetric distribution on the other hand, we are into some next level shiz here =)Doesn't factor in variability (e.g. impact of spikes/troughs on rolling avg - spikes more relevant off a low base). Would converge to an extent over a longer run.
Just personal preference. Horses for courses.
(in season multiplier closer to 5.0, I think)
Don't know if you have seen the comments today but Jock giving Martin a massive wrap!For those interested in quite a detailed Goldy analysis:
http://www.jockreynolds.com.au/2017/01/14/goldmember-rising/
Opinions will differ on some assumptions, but interesting data and premise.
Assume a normal distribution and enter expected average / SD (can be based on past performance or an expectation if you think they'll go higher), then generate the scores (nothing fancy, just with rand component and those avg and SD values for n iterations) and calculate prices off that. Edit: Hadn't thought of asymmetric distributions, interesting ideaInteresting, interesting. So do you run some simulations based on players past av and std, and take an average? I would have thought it comes out the same if you assume equal chance of high/low scores. If you are using an asymmetric distribution on the other hand, we are into some next level shiz here =)