I Created a CFB Ranking System

WEEK 8 Top 25 (with AP/Coaches):

1. Alabama (8-0) - 185.0365 (1/1)
2. Penn St (7-0) - 183.5305 (2/2)
3. Georgia (7-0) - 178.9749 (3/3)
4. UCF (6-0) - 178.2233 (18/17)
5. Ohio St (6-1) - 172.0976 (6/6)
6. TCU (7-0) - 170.9337 (4/4)
7. Clemson (6-1) - 170.3092 (7/7)
8. Notre Dame (6-1) - 169.3296 (9/10)
9. Wisconsin (7-0) - 166.7159 (5/5)
10. Miami (6-0) - 165.9202 (8/8)
11. Oklahoma St (6-1) - 155.5470 (11/12)
12. Michigan St (6-1) - 152.2889 (16/18)
13. Washington (6-1) - 151.1555 (12/11)
14. Memphis (6-1) - 150.6664 (24/UR)
15. NC State (6-1) - 149.6168 (14/15)
16. Oklahoma (6-1) - 148.5437 (10/9)
17. Virginia Tech (6-1) - 146.4401 (13/13)
18. Mississippi St (5-2) - 145.8997 (UR/UR)
19. USC (6-2) - 145.8054 (21/21)
20. Stanford (5-2) - 142.8059 (20/20)
21. Washington St (7-1) - 141.2867 (15/16)
22. Auburn (6-2) - 139.8544 (19/19)
23. South Florida (7-0) - 139.7347 (17/14)
24. Michigan (5-2) - 138.9193 (UR/25)
25. Boise St (5-2) - 138.6915 (UR/UR)
 
The Rest of the SEC:

33. Texas A&M (5-2) - 131.9008 (UR/24)
34. LSU (6-2) - 131.5133 (23/23)
36. South Carolina (5-2) - 128.7729
44. Kentucky (5-2) - 121.6205
58. Florida (3-3) - 111.5586
77. Tennessee (3-4) - 100.3500
78. Ole Miss (3-4) - 98.3096
83. Arkansas (2-5) - 95.6873
89. Vanderbilt (3-4) - 91.8757
100. Missouri (2-5) - 83.3634
 
Despite the big loss, UT jumped in both score and ranking because their already strong SOS got even stronger by adding Bama, coupled with wins by Georgia Tech and UMass.
 
BW, I know you set this up to prove that the system doesn't work, but to me it seems like it does. Any given week it may be off, but over a whole season it seems to ring pretty true.
 
BW, I know you set this up to prove that the system doesn't work, but to me it seems like it does. Any given week it may be off, but over a whole season it seems to ring pretty true.

It does ebb and flow. But just using this week as an example, I wouldn't have OSU or UCF in my top 5. I've watched the games, and I can reasonably judge each team's strength of schedule. Heck, I'm not sure UCF would be in my top 20. Memphis certainly wouldn't be in my top 15.
 
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It does ebb and flow. But just using this week as an example, I wouldn't have OSU or UCF in my top 5. I've watched the games, and I can reasonably judge each team's strength of schedule. Heck, I'm not sure UCF would be in my top 20. Memphis certainly wouldn't be in my top 15.

I guess my point is that a computer based system is just as valid as another system. they are all going to be flawed, there will always be upsets and people that come out of no where. So I don't think your system proves that computers are bad, just that the game of football is impossible to predict.
 
I guess my point is that a computer based system is just as valid as another system. they are all going to be flawed, there will always be upsets and people that come out of no where. So I don't think your system proves that computers are bad, just that the game of football is impossible to predict.

Here's why computer and math systems are terrible: they don't have the ability to account for attrition.

For example: Say Saquon Barkley suffers a tear in practice this week and misses the rest of the season. If Ohio State beats PSU without Barkley, they will receive the same credit for that PSU game that the previous 7 teams did. But we all know that Penn State cannot possibly be the same team without Barkley as they were with him. A human being can process that information and rank teams accordingly. Formulas can't.
 
Here's why computer and math systems are terrible: they don't have the ability to account for attrition.

For example: Say Saquon Barkley suffers a tear in practice this week and misses the rest of the season. If Ohio State beats PSU without Barkley, they will receive the same credit for that PSU game that the previous 7 teams did. But we all know that Penn State cannot possibly be the same team without Barkley as they were with him. A human being can process that information and rank teams accordingly. Formulas can't.

OSU is still going to get credit for beating a good team in the human polls as well. and in the computer world at the end of the day that will work out as PSU starts losing more games or not winning by the same amount. so by the end OSU's victory looks not as good as it did.

as I was saying any given weak yes computer = BS. but over the season it should all play out.
 
OSU is still going to get credit for beating a good team in the human polls as well. and in the computer world at the end of the day that will work out as PSU starts losing more games or not winning by the same amount. so by the end OSU's victory looks not as good as it did.

as I was saying any given weak yes computer = BS. but over the season it should all play out.

I see what you're saying, but I simply don't agree with that last part.

Let's take it a step further. Let's say Barkley, McSorley, and a couple of offensive linemen go down for the season. PSU proceeds to lose to Ohio St, Michigan State, and Nebraska. They don't make the Big 10 title game at 9-3.

All seven teams that Penn State has beaten will finish the year with Penn State's 9-3 record factored into their scores, even though the Penn State they lost to was considerably better than the Penn State OSU, MSU, and Nebraska beat. You can't program an objective formula to account for losing critical players.

So it's not a one week problem; it's an entire season problem. If a team stays relatively healthy, then yeah, it's no big deal to give their opponents the same credit from Week 1 to Week 13. But if a team becomes a MASH unit by season's end, then you have to place a subjective standard that credits their Week 1 opponent more than Week 13.
 
I see what you're saying, but I simply don't agree with that last part.

Let's take it a step further. Let's say Barkley, McSorley, and a couple of offensive linemen go down for the season. PSU proceeds to lose to Ohio St, Michigan State, and Nebraska. They don't make the Big 10 title game at 9-3.

All seven teams that Penn State has beaten will finish the year with Penn State's 9-3 record factored into their scores, even though the Penn State they lost to was considerably better than the Penn State OSU, MSU, and Nebraska beat. You can't program an objective formula to account for losing critical players.

So it's not a one week problem; it's an entire season problem. If a team stays relatively healthy, then yeah, it's no big deal to give their opponents the same credit from Week 1 to Week 13. But if a team becomes a MASH unit by season's end, then you have to place a subjective standard that credits their Week 1 opponent more than Week 13.

Do you think that ever happens in the human world?

TN last year is the perfect example of the MASH unit you speak of. UGA, Florida, Kentucky & Mizzou losses to us all counted the same. and we dropped (rightly so) for losing to SC & VU even though we were running out of players when we lost to them.

so I am not seeing the human system as any better.
 
Do you think that ever happens in the human world?

TN last year is the perfect example of the MASH unit you speak of. UGA, Florida, Kentucky & Mizzou losses to us all counted the same. and we dropped (rightly so) for losing to SC & VU even though we were running out of players when we lost to them.

so I am not seeing the human system as any better.

Vandy's win was subjectively worse
than Florida's loss.
 
which is kinda my point. the Computer is objective to the point where it seems subjective to us. especially since the games never play out like they should on paper.

the human side applies subjectivity all over the place. look at the playoff voters. it will be really interesting to see what happens if Bama and Georgia both go undefeated until the SEC, one loses a tight match, I am willing to bet the committee leaves them off. otherwise you will offend two of the P5 conferences by leaving them out over a team that just lost.
 
which is kinda my point. the Computer is objective to the point where it seems subjective to us. especially since the games never play out like they should on paper.

When each of 130 teams plays only 12 or 13 games, subjectivity is preferrable to objectivity. You can't objectively compare that many teams with such a small sample.
 
When each of 130 teams plays only 12 or 13 games, subjectivity is preferrable to objectivity. You can't objectively compare that many teams with such a small sample.

I gave you hell a year ago or so. Mocked you in fact. I was wrong. I am sorry. I appreciate your contributions to the board.
 
When each of 130 teams plays only 12 or 13 games, subjectivity is preferrable to objectivity. You can't objectively compare that many teams with such a small sample.

and yet the objective approach falls remarkably close to the subjective.

Especially as you are comparing one computer model to averaged human rankings. AP, coaches, CFP are averages of individual votes. average some computer ones together and you would increase the similarities.
 
and yet the objective approach falls remarkably close to the subjective.

Especially as you are comparing one computer model to averaged human rankings. AP, coaches, CFP are averages of individual votes. average some computer ones together and you would increase the similarities.

All true. But, as I've said before, one need look no further than the BCS. The worst pairings were always a result of the computers (2001, 2003 being the most obvious). That's why they reduced the computers in the overall formula.
 
All true. But, as I've said before, one need look no further than the BCS. The worst pairings were always a result of the computers (2001, 2003 being the most obvious). That's why they reduced the computers in the overall formula.

Not a fan of Oklahoma I guess?
 
Don't have any real issue with them, but they shouldn't have been in that game in '03. Thanks to the computers, we got #s 2 and 3 in both polls playing for the right to be #1.

because a more recent loss matters more than one against a worse team from a while ago?
 
because a more recent loss matters more than one against a worse team from a while ago?

True, USC's loss was to a worse team in the form of 8-6 Cal. But it was by a field goal in 3 OTs.

Oklahoma didn't even compete with a 3-loss Kansas State team.

So USC might have lost to a "worse team," but OU wound up with a worse loss.
 
so USC had more time to beat Cal and couldn't.

so we are down to the Dobbs4Heisman "eye test" to make or break. :)
 
so USC had more time to beat Cal and couldn't.

Okay. Compare apples-to-apples, then. After 60 minutes, USC was tied with Cal, and Oklahoma was down 4 touchdowns to KSU.

so we are down to the Dobbs4Heisman "eye test" to make or break. :)

I've never had a problem with the "eye test" argument, except that D4H's eye seems to be watching events that only he can see.

In the case of 2003, I know that the eye test showed Oklahoma getting drilled by a good, but by no means great Kansas State team. I don't know what my formula would have returned for that year as I didn't go back that far. But if it were to return LSU and Oklahoma, it would be wrong.
 

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