Just how definitive are the Definitive NSFL Team Rankings, recently posted by @SchwarzNarr?
Well there's an easy way to find out. Let's see how they stack up against teams' all time performance:
Not bad. Rsquared basically calculates variance. To put it stimply, the closer the number is to one, the closer the relationship between the two data sets.
How about if we don't focus on the actual win %, just rank the win % among teams
Hey there might be something to this.
Now what if we take out that one pesky outlier at the bottom there?
We are through the looking glass here people.
..Actually based on what we know about the sim to date, would anyone be surprised if letters in a team's name really did play a factor?
Well there's an easy way to find out. Let's see how they stack up against teams' all time performance:
Not bad. Rsquared basically calculates variance. To put it stimply, the closer the number is to one, the closer the relationship between the two data sets.
How about if we don't focus on the actual win %, just rank the win % among teams
Hey there might be something to this.
Now what if we take out that one pesky outlier at the bottom there?
We are through the looking glass here people.
..Actually based on what we know about the sim to date, would anyone be surprised if letters in a team's name really did play a factor?