StPaulHusker
Banned
This was great work. Can't wait to see the other conference match ups.
It's 1:40 in the morning so forgive me if this isn't as clear as it would be at 3 in the afternoon.I have a request:
Can you explain the basics of your statistical analyis?
The statistical rankings that I have seen done (by several internet posters on other forums, also stats wizards, along with a sports statistics professional) have revolved mainly around adjusted yards per play rankings. The reason for that being that yards and specifically yards per play are the largest and least variance-ridden component of the statistical description of any football team. Of course there are flaws - special teams are largely unaccounted for, coaching is unaccounted for, and so on. Very very fast offenses (oregon) may be represented statistically differently than very slow offenses (iowa). Still, I am simply wondering. Are you using a YPPbasis or something else?
I don't see why this gets thrown out there so much. That team was down, like, 6 or 7 starters for that game.Statistically, a game between Nebraska and Ole Miss is a toss-up. That sucks to say that, because Ole Miss has been down for...ever, but the way the games were played last year, it would be a toss up. It was also very unexpected that we stuck with Georgia for as long as we did.I think we would be above ole miss, but other than that, sounds pretty good to me
Thats makes a lot of sense after googling a bit on cluster analysis. Looks like a fair bit of work too!breakdown
Cluster analysis is a lot of work, but luckily I have a nice statistical software package that does all the heavy lifting. All I really need to know is when it's appropriate to use cluster analysis and what the results mean. For that I thank a certain UNL psychology professor who makes really difficult concepts very easy to understand.Thats makes a lot of sense after googling a bit on cluster analysis. Looks like a fair bit of work too!breakdown
Including turnovers is an interesting choice too. I think if you're doing a pure predictive power ranking then including turnovers may be misleading because they're one of the most variance-ridden stats. But since you're not doing a predictive power ranking and you're wondering how a team would have done in a past season compared with past data from other teams, including turnovers seems like an obvious choice.
Who were the 6 or 7? The only one I remember was the NT which the back up was hyped to be just as good. We were out atleast one starter as well so in my eyes it was completely even or we may have even had a disadvantage. The only reason I say that is because it's obvious baker was an integral part of our rush D. Again I'm not saying your wrong I just remember it that both teams had about the same amount of starters unavailable for the game. Sorry for the thread jackI don't see why this gets thrown out there so much. That team was down, like, 6 or 7 starters for that game.Statistically, a game between Nebraska and Ole Miss is a toss-up. That sucks to say that, because Ole Miss has been down for...ever, but the way the games were played last year, it would be a toss up. It was also very unexpected that we stuck with Georgia for as long as we did.I think we would be above ole miss, but other than that, sounds pretty good to me
Well remember that each team in each tier has about an equal chance of beating each other. So Nebraska was statistically level with Georgia and South Carolina last year. With the ACC, there wasn't much of a difference between the elite and the next step down, but that difference was still there.I don't think we are worse than Ole Miss or South Carolina, nor are we worse than North Carolina.
Clemson and FSU would be a toss up.
I like the work you're putting into these things - I just think sometimes stats don't carry over. For instance, do we average more yards against those teams? Is our defense better against those teams because they pass more? Is it worse? Who knows. Love the analysis though.