mattnz wrote:Is that the same field the NRL games are being played at in Las Vegas?
Yep, Allegiant Stadium
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mattnz wrote:Is that the same field the NRL games are being played at in Las Vegas?
Milchcow wrote:
if you want to check NRL on an NFL field, this is a game from 2004
https://www.youtube.com/watch?v=T0uLfihhco8
robelgordo wrote:
I know the Aussies probably didn’t take it too seriously but 1st half was legit one of the most surprising 40 mins of footy I’ve ever seen
Milchcow wrote:
Dear ChatGPT
How much of my round 1 team should I pick solely on the basis of them playing their first game on a narrow field?
L-Jimmy wrote:
Everyfink is marginal innit?
Slight increase to Haas attractiveness, slight decrease to Teddy.
multiple.scoregasms wrote:
Players closer together could mean extra slapsies while crab running across the field. Teddy gonna come out with 25 tackle busts
StuDogg101 wrote:Yikes just saw that Carrigan/Reynolds video. Wtf
White Lightning wrote:
me to just looked reynolds pushing him & carrigan not wanting to hurt him so he's just going with it...sometimes this happens when the boys are on it...they both looked hammered which begs the question who filmed it & put it in the public arena if i was carrigan or reynolds i wouldn't be happy.
StuDogg101 wrote:Yikes just saw that Carrigan/Reynolds video. Wtf
Obbeats wrote:Just to be clear, I never meant to suggest starting with Haas was bad, just that there is more potential upside in looking for a player with value in lieu of him. It just may be higher risk higher reward. Also that the benefit doesn't necessarily come directly from the Haas replacement, but from being able to afford a better value option in another position (say Cotter who I couldn't otherwise afford with Haas)
And yes, as pointed out I was misusing the term "game theory". I was using it instead of the term "optimisation". My mistake.
Edit: and honestly I am probably speaking more of perfect scenario/omniscient optimisation. Being a game of partially available information means that there will always be a massive luck factor and real world optimisation is different from the theoretical optimisation. My approach to learning new games is to start at theoretical optimisation then pare that back until I find the correct balance to give myself a fighting chance. Also: I'm probably someone who is quite on the spectrum, so I obsess over this search.