this post was submitted on 05 Nov 2023
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College Football
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| /c/CFB Poll Top 25 |  |
|---|---|
| 1. ~~Ohio State~~ |  |
| 2. Oregon |  |
| 3. Texas |  |
| 4. Notre Dame |  |
| T-5. Georgia |  |
| T-5. Penn State |  |
| 7. SMU |  |
| 8. ~~Miami~~ |  |
| 9. Indiana |  |
| 10. Tennessee |  |
| 11. South Carolina |  |
| 12. ~~Clemson~~ | |
| 13. Boise State |  |
| 14. Arizona State |  |
| 15. Ole Miss |  |
| T-16. Alabama |  |
| T-16. Iowa State |  |
| T-16. ~~Tulane~~ |  |
| 19. BYU |  |
| 20. Army |  |
| 21. ~~Texas A&M~~ |  |
| 22. Colorado |  |
| 23. Illinois |  |
| 24. UNLV |  |
| 25. ~~Kansas State~~ |  |
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Thanks for the in-depth reasoning. As I mentioned in a previous week, I'm totally cool with this approach (and my poll also disregards head-to-head, but it is always an interesting argument against our power-rating-style computer polls).
Any plans to adjust the methodology with realignment kicking into high gear next year? I foresee lots of strong teams stuck playing each other, resulting in everyone picking up losses and looking worse on paper than in reality (as already happens with the PAC every year). I, for one, plan on restructuring my algorithm since it was designed based on the assumption that the 5 "power" conferences (+ND and BYU) were relatively equal.
Totally agree...we've chatted about this before, but a lot of the fun of voting in this poll for me is seeing how everyone does it differently. We're trying to answer the question of who is the "best" team, but that word means something a little bit different to everybody.
Yeah I try to add improvements every year based on stuff I see during the season and I've been thinking of ways to re-tool it for next season, especially with the weirdness of realignment coming and some of the odd results I've gotten this season. I haven't figured out exactly what I want to do yet, because I don't want to add too much of my own biases into the formula. For example, I don't want to give an artificial boost to teams just based on conference affiliations, because if we really do get an excellent team in a lower conference I don't want my spreadsheet pushing them down just because of that. This season I've been running a few modified spreadsheets on the side just to play with, but I haven't landed on anything I really like yet. Thankfully the offseason is long and I have plenty of data to tinker with to keep dialing it in.
I'm curious about yours, how much does it factor in stats throughout the season? I think you mentioned before that pre-season expectations are factored out at this point, do you keep it updated with performance stats every week?
It's mostly just margin of victory/defeat. I've tinkered with adding more advanced stats, but then it feels like I'm geeking out too much and the tail is wagging the dog. At the end of the day, your team just needs to score more than the other team and if you can do that consistently, especially against good competition, you should be rewarded.
One criterion I really would like to tinker with is home field advantage. Right now it's just a +4 point modifier for everyone, but there are definitely some environments where it's worth more and some where it's less. I haven't found good public data on that (I'm sure all the bookies have that down pat though) so it'll take a fair bit of statistical analysis to ascertain what those values are. Maybe next off-season.