Lol, this is one of the better misuse of stats I've read. Surely 6 elite players are worth much more than 6 good players? Well not in Champion data's fantasy world.
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I would take Hunter, Wood and Libba before most of these guys. Maybe the stats were done based on 2015?Not Wood actually, surprisingly, nor JJ. It was Wallis , Stringer, Bont, Murphy, Boyd and Dahlhaus.
Dahlhaus and Libba are jets.Who the **** are the 4 Bulldogs elite players other than the Bont and Wood?
Dahlhaus? Libba? Boyd? Stretching it there Champion Data.
URL Bad ManInternet bad arse right here. Cross me man and i'll block you, post an interesting meme criticising you, report your post or put you on ignore.
Yeah boi.
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Lmaooo I thought I had travelled back in time seeing this but then realised that 2 decades on this statement still holds sway with us. Quite incredible that we never have depth isn't it ? Like right now we are still at the point where 2 players go out and we captitulate. This becomes a serious issue too when the modern game has evolved to the point where you need to rotate the list and give your guns some kind of rest during a hard running year that the game has evolved into. The issue with us is that we continued to retain to many list cloggers and are at the point now that we have 0 depth in KPPs and little to none every where else. This shit happens when those who put the list together are ****ing dudsSaw this yesterday, we need more depth and we would shoot up that list
Lmaooo I thought I had travelled back in time seeing this but then realised that 2 decades on this statement still holds sway with us. Quite incredible that we never have depth isn't it ? Like right now we are still at the point where 2 players go out and we captitulate. This becomes a serious issue too when the modern game has evolved to the point where you need to rotate the list and give your guns some kind of rest during a hard running year that the game has evolved into. The issue with us is that we continued to retain to many list cloggers and are at the point now that we have 0 depth in KPPs and little to none every where else. This shit happens when those who put the list together are ******* duds
I Repeat for those that are slow, we need more depth...
I repeat to those that are slower this has been repeated for the last 20 years but somehow those that are slower keep on repeating it
So you disagree? by virtue you are suggesting our depth is sufficient and all the experts are incorrect?
yep, completely mental. BUT.... I hate to say it, but it doesnt change much with a weighting. Here is an elite worth 2 i/o 1
WBD (6+13) = 25 (1)
GWS (6+11) = 23 (2)
WCE (6+8) = 20 (3)
SYD (6+7) = 19 (5)
ADL (4+10) = 18 (4)
HAW (5+5) = 15 (10)
COL (2+10) = 14 (7)
GEE (5+4) = 14 (11)
POR (3+7) = 13 (8)
STK (1+11) = 13 (6)
MEL (2+8) = 12 (9)
FRE (3+6) = 12 (12)
RIC (3+6) = 12 (13)
GC (3+5) = 11 (14)
NRF (1+6) = 8 (15)
ESS (0+7) = 7 (16)
CAR (2+3) = 7 (17)
BRI (0+3) = 3 (18)
has champion data got the stats on how 4 of the top 8 which includes 3 of the top 4 ended up in this?
AFL fines seven clubs for anti-doping breaches
http://www.zerohanger.com/afl-fines-seven-clubs-for-anti-doping-breaches-8554/
8/18 teams are top-eight teams (44%)
4/7 fined teams are top-eight teams (57%)
If all teams are as likely as each other to be fined, then the likelihood of random chance meaning all seven teams fined were top-eight teams is essentially 0%.
6+ top-eight teams fined = 1%
5+ top-eight teams fined = 9%
4+ top-eight teams fined = 35% (p-value of about 0.39 for the null hypothesis that top-eight teams are no more likely than others to be fined)
3+ top-eight teams fined = 72%
4 top-four teams fined = 1%
3+ top-four teams fined = 14% (p-value of about 0.17 for the null hypothesis that top-four teams are no more likely than others to be fined)
2+ top-four teams fined = 51%
So you're saying they're drug cheats.8/18 teams are top-eight teams (44%)
4/7 fined teams are top-eight teams (57%)
If all teams are as likely as each other to be fined, then the likelihood of random chance meaning all seven teams fined were top-eight teams is essentially 0%.
6+ top-eight teams fined = 1%
5+ top-eight teams fined = 9%
4+ top-eight teams fined = 35% (p-value of about 0.39 for the null hypothesis that top-eight teams are no more likely than others to be fined)
3+ top-eight teams fined = 72%
4 top-four teams fined = 1%
3+ top-four teams fined = 14% (p-value of about 0.17 for the null hypothesis that top-four teams are no more likely than others to be fined)
2+ top-four teams fined = 51%
McBean!!Five? Rance, Martin, Cotchin & then who? Jack at his best maybe but that hasn't been seen now for a couple of years, Caddy & Prestia yet to run out for us and neither have proven to be elite at past clubs.