In many sports you could make a reasonable projection on how a team did over the course of a large sample by using points scored and points allowed. There are different modifications for each. In this post I wanted to apply the football formula to the NSFL.
The goal is to see if any team had a win total significantly different than what they actually had.
The formula I used was this:
Pythagorean Wins = ((PF^2.37)/(PF^2.37+PA^2.37)) x 13
PF is points for, PA is points against. 13 is obviously how long our regular season is. 2.37 is the football exponent figured out by people like this -> Nerd
![[Image: uyGyGFq.jpg]](https://i.imgur.com/uyGyGFq.jpg)
Observations
I'm sorry to say this Sabercats nation but I think you guys were lucky to win even 4 games last season. The sim gods were definitely on your side.
On the other hand the Copperheads came up short of expectations by 1.8 wins. Did you guys build your stadium on top of a Native American burial ground or something?
Here is the wiki entry on it for some more explanation: Pythagorean expectation
The goal is to see if any team had a win total significantly different than what they actually had.
The formula I used was this:
Pythagorean Wins = ((PF^2.37)/(PF^2.37+PA^2.37)) x 13
PF is points for, PA is points against. 13 is obviously how long our regular season is. 2.37 is the football exponent figured out by people like this -> Nerd
![[Image: uyGyGFq.jpg]](https://i.imgur.com/uyGyGFq.jpg)
Observations
I'm sorry to say this Sabercats nation but I think you guys were lucky to win even 4 games last season. The sim gods were definitely on your side.
On the other hand the Copperheads came up short of expectations by 1.8 wins. Did you guys build your stadium on top of a Native American burial ground or something?
Here is the wiki entry on it for some more explanation: Pythagorean expectation
![[Image: TRRHgeA.png]](https://i.imgur.com/TRRHgeA.png)