An Unbiased Ranking: On-Field Results Index Week4

ScarletDave

Heisman
Oct 7, 2010
34,714
15,607
85
In my passion for college football and in my rage last year with 0-2 Notre Dame still being ranked in the AP Top-25 due to their high fake preseason ranking, I created a metric which I originally called the CFB "Quality Index" but have since renamed "On-Field Results Index" (OFRI) to be more reflective of what it actually shows.

Basically, it ignores any team-name bias, preseason bias, recruiting, last year's results, etc. etc. and ranks teams solely based on their this-year game results. The idea being, the only thing that truly matters is winning the football game. Not recruiting ranking, number of yards, offensive efficiency, etc., beating FCS teams by 40 vs by 80. It only matters Win or Lose. The metric is a computer formula that I keep in an advanced Excel workbook and update by adding in the game results each week.

I then take that idea, and I push it 2 layers deep. That is, it first cares about your record (i.e. 2-0 beats 1-1), but then cares about the records of the teams you beat (2-0 versus two teams that are 1-1 is better than being 2-0 versus two teams that are now 0-2). It takes that logic and goes one layer deeper, meaning not just the record of you, and who you played, but also who your opponents played.

In this way, I try to remove conference bias (i.e. oh the SEC is stronger than the Big Ten - well if it is, then in general their teams should have better records, and against good teams). I try to counteract every argument that usually happens around polls - i.e. a team is 10-0 but beat nobody, versus a team is 9-1, the 1 loss is against a good team say an 8-2 team, but this team also happens to have a win over a 9-1 team - versus the 10-0 team's best win is 7-3 or 6-4, something like that).

So, it's not a pure strength of schedule metric, it's not a strength of record, it's not the RPI/FPI - it only cares about this season's games (does not include FCS games as then it would need to include all FCS teams which is too much to deal with), and only grades winning or losing. Doesn't care by how much, only cares about the quality of the teams you beat and lost to, and the quality of the teams they beat and lost to. Very close to a true national "Standings" almost more than a "Ranking".

Because of this nature, it starts to look better after week 3 & 4 onwards as there is simply more data from this year, although still interesting after the first couple. So that said, now that I've done it for a year, and have it more robust, I will try to post each week the updated ranking. Here is Week 4:

Screenshot 2026-09-27 at 9.49.32 PM.png

Screenshot 2026-09-27 at 9.49.44 PM.png
Screenshot 2026-09-27 at 9.50.12 PM.png

It's not meant to predict future game results, it's just meant to grade based on existing game results and who deserves to be ranked where. It also doesn't recalculate on itself - that is, a previous week's ranking has no meaning to the next week's ranking (unlike the AP Poll where a team could jump up for beating a preseason top-25 team who ends the season 6-6 and unranked and thus that preseason ranking ripple effect is carried through the whole season). It is fully recalculated each week based on the full season body of work.

That said, there have been some interesting cases of foresight - last year, this index had Indiana ranked as #1 after just Week 3 (the AP at the time had them #19). It wasn't until Week 8 that IU even got to #2 in the AP Poll, and eventually they became #1 and champs. This year, Florida jumped to #1 last week (Week 3), while they had just debuted in the AP Poll at #21. Of course, now they destroyed #4 Ole Miss this week, and UF is up to #8 in the AP. Could they be the unforeseen champs this year?

Other interesting notes for Week 4 - our friends UMass are #27. Again, this has nothing to do with biases, and includes no FCS games (so UMass is only 2-0 in the metric, not 4-0) with wins over Rutgers and Sac State. What I believe is propelling them up is Sac State having played NDSU, and RU having played USC, already. I expect UMass to actually continue to drop slightly as the Weeks go on even if they keep winning, just because other teams will start to play more other good teams.

Rutgers is not last despite 0-3 against FBS, being held up by UMass and USC - in fact, we are not even last in the P4 (GT, Kansas, Syracuse).

Let me know your thoughts and questions behind this and happy to answer and dig deeper into any of the rankings!
 

RU#1fan

Heisman
Mar 7, 2003
24,060
12,675
113
At #119 we are least one spot better than Sara !
Despite the worst Defense in the FBS.
laughingstock continues on the Banks this season.
 
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M.Sherrane

Redshirt
Sep 10, 2026
49
49
18
Need to explain your ranking formula for any assessment of your list.
Agreed. I cannot fathom how a team who has outscored their opponents 219 - 53 and who won their closest game by 28 points (vs Oklahoma) is ranked #12. #12 Georgia would light up #6 Duke (4 point win at Illinois), #7 Mississippi State (7 point wins at South Carolina and vs Missouri), and #10 Pitt (5 point win vs UCF) with little difficulty.
 

RUChet

All-Conference
Apr 8, 2023
2,916
3,649
113
NDSU has played and beaten nobody if any quality so you have them ranked way too high
 

ClassOf02v.2

Heisman
Sep 30, 2010
13,955
15,552
103
No ranking system is perfect and this one isn’t either, but I understand the logic. The true test of its validity will be towards the end of the season, not now.
 
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Shelby65

All-Conference
Apr 1, 2008
8,665
4,831
66
No ranking system is perfect and this one isn’t either, but I understand the logic. The true test of its validity will be towards the end of the season, not now.
Again, no. How are w-l, opponents’ w-l and the opponents’ opponents w-l weighted in the ranking formula ?
 

ScarletDave

Heisman
Oct 7, 2010
34,714
15,607
85
It’s a silly list wo explanation.
I tried to explain it above but it works like this:

Let’s say Rutgers is 3-0
The 3 teams we beat are all 3-0 (total 9-0).
The 3 teams they all beat are also 3-0 (total 27-0).

That gives you and “index” of 1.000 (perfect)

Of course that’s not possible since you beat those teams, so really they are all 2-1 best case (and their opponents are all 2-1). So really each team is something like 0.95 or something like that.

On the other end, being 0-3 you “lose” points from a loss, but each loss is weighted. So losing to an undefeated 3-0 team, maybe you only lose .50 index points (so your index is .50). But then losing to a 2-1 team, your index would only be something like .35 … etc. etc.

So first game of the year, one team wins 1-0 and so the other team is 0-1. BUT, the 1-0 team’s win is only 0-1, so that’s not as good as beating say an 8-1 team later in the year. So after the first game, it’s not like the winner has an index of 1.000 and the loser 0.000, it’s more like 0.7 and 0.3, something like that. I won’t go into the exact numbers but it basically weights every win and loss based on that team’s record and the weights of their wins and losses, and turns that into an index from 0 to 1.0.

For that you can see why like another poster said, it makes a lot more sense at the end of the season. And that it especially is weird the first couple weeks. That said after week 4/5 it starts to take shape and will continue to each week further.
 
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