I'm interested to know the details of the variance model you were talking about I had a bit of a fail free hit (darwin, no mateta, no white) and it probably would have helped me to pick a few differentials
How are the projected point averages calculated for the teams? I'm wondering if a team with 8 offensive players to rotate between, for example, would get a lower projected point average than a team with only 4 key offensive players. Or are the players xMins increased to 90 for the purposes of this data?
Yes you are correct. It is the sum of point for offensive positions divided by their total xMins multiplied by 90. If there are more risky players, it gets affected unfortunately.
Woohoo Optimized is back!
Let’s go, i have been waiting all week 🔥
Nice to hear, thanks! 👍 You had to wait quite long for this week... sorry for that. 😉
Great episode as always guys!
Thanks!
Well done Bas, smashed it with your FH! Nice pod and good luck to both of you in last part of the season.
Thanks! Appreciate the comment. 👍
Thank you, i never get a notification that you are streaming and i have "notifications all" keep doing your good work
Hello! We don't stream live, that should be the reason. We record offline and publish later.
I'm interested to know the details of the variance model you were talking about
I had a bit of a fail free hit (darwin, no mateta, no white) and it probably would have helped me to pick a few differentials
Great episode folks🎉
Thanks!
How are the projected point averages calculated for the teams?
I'm wondering if a team with 8 offensive players to rotate between, for example, would get a lower projected point average than a team with only 4 key offensive players.
Or are the players xMins increased to 90 for the purposes of this data?
Yes you are correct. It is the sum of point for offensive positions divided by their total xMins multiplied by 90. If there are more risky players, it gets affected unfortunately.
So what does the ensemble teach us? (Haaland + Darwin + 2*JP) / 4 = Chris Wood. 😂
Hi ❤