the poll

Searching for the most accurate Top 25 in college football.

An open-source AI model rates all 138 teams and shows you every game behind the number. It also prints the scorecard where it still loses to the rating systems it is chasing.

The 2026 projection

published 20 August · 138 teams rated · never edited after the fact

The big number is projected wins on that team’s own schedule. The small one under it is the rating the board is ordered by, which is why more wins can still mean a lower rank. Tap a row for the games behind it.

  1. 1Ohio Stateschedule 5th toughest of 1388.8rating 22.7
  2. 2Oregonschedule 37th toughest of 1389.0rating 21.0
  3. 3Indianaschedule 23rd toughest of 1389.0rating 20.7
  4. 4Notre Dameschedule 62nd toughest of 1389.4rating 20.5
  5. 5Texas Techschedule 83rd toughest of 1389.6rating 19.1
  6. 6Miamischedule 74th toughest of 1389.2rating 19.1
  7. 7Georgiaschedule 19th toughest of 1388.3rating 17.7
  8. 8Texas A&Mschedule 29th toughest of 1388.1rating 16.7
  9. 9BYUschedule 45th toughest of 1388.4rating 16.6
  10. 10USCschedule 9th toughest of 1387.8rating 16.4
  11. 11Utahschedule 49th toughest of 1388.3rating 16.0
  12. 12Oklahomaschedule 6th toughest of 1387.3rating 15.4
  13. 13Texasschedule 1st toughest of 1387.1rating 15.0
  14. 14Ole Missschedule 15th toughest of 1387.6rating 14.6
  15. 15Alabamaschedule 17th toughest of 1387.5rating 14.6
  16. 16Vanderbiltschedule 20th toughest of 1387.6rating 14.4
  17. 17Washingtonschedule 13th toughest of 1387.4rating 14.4
  18. 18SMUschedule 66th toughest of 1388.1rating 13.5
  19. 19Tennesseeschedule 31st toughest of 1387.3rating 13.1
  20. 20Iowaschedule 42nd toughest of 1387.4rating 12.6
  21. 21Michiganschedule 2nd toughest of 1386.9rating 12.6
  22. 22Boise Stateschedule 46th toughest of 1386.8rating 12.1
  23. 23Missourischedule 22nd toughest of 1386.9rating 11.9
  24. 24Arizonaschedule 25th toughest of 1387.0rating 11.8
  25. 25Louisvilleschedule 53rd toughest of 1387.4rating 11.6
Why a team with more projected wins can still rank higher.
Ohio State8.8 on its own schedule10.1 on Texas Tech’s
Texas Tech9.6 on its own schedule8.1 on Ohio State’s

Ohio State projects 8.8 wins and Texas Tech projects 9.6, and Ohio State still ranks higher. Run each on the other's calendar and the reason is plain: Ohio State would win 10.1 games on Texas Tech's schedule, while Texas Tech would win 8.1 on Ohio State's.

Built from
Built by AI using five seasons of public college football data: 8,117 games and 1,235,232 plays, with 1,000 simulated seasons to test how firm each ranking is. every file →
Licence
Ratings CC BY 4.0, code MIT. No account, no email. terms →

the same team, two calendars

Texas projects 7.1 wins on its own schedule and 8.4 on Clemson’s.

7.18.4012 games
  • 7.1on Texas’s own schedule, the hardest in the country
  • 8.4on Clemson’s schedule, an ordinary one

Same roster, same coaches, an ordinary calendar instead of the hardest one in the country. That is what a schedule is worth.

the lookback

In week 5 of 2025 the weekly poll had Navy 22nd at 4-0. Ask it about that same week now and it says 40th.

The board at the top of this page

The projection. 138 teams ranked on 20 August, before anybody played, never edited after the fact.

A second ranking, from week 5

The poll. It starts every team at zero and reads only games that have actually been played, so it has nothing to say yet. It opens in week 5.

What week 5 said then

What week 5 says now

22

40

Navy, 4-0 at the time

the same games, worth what those opponents turned out to be

Every week the poll is built again from scratch, so a September win is worth whatever that opponent turned out to be. A rating that updates game by game cannot go back and redo September.

0.01.73.55.25.24 places0.4858111416week of the season

How far the average top-25 team ended up from where the finished season put it, week by week. Five games is thin evidence and the poll says so.

See week 5 both ways, every team →

the bar

5 bars, written down before a single result was looked at. This poll clears 0 of them.

  • the bar, fixed before this poll ran
  • this poll · FAIL
  • rating systems somebody else publishes
  • plain baselines, not rating systems
  • earlier versions of this model

  1. Call more games right than anybody else does.

    Straight-up accuracy at or above the floor

    the bar 70.0%
    Colley 68.0%Elo 68.8%Home team wins 56.3%L1 efficiency 69.2%L2 results 69.5%L3 Power 68.7%Random walker 65.1%Résumé 68.7%SRS / Massey 69.1%Win percentage 66.1%
    68.7% FAIL
    54.6%further right is better71.7%
    • along the line, low to high
    • the bar70.0%
  2. Miss the final score by fewer points.

    Mean absolute error at or below the ceiling

    the bar 12.8
    Colley 13.56Elo 13.56Home team wins 15.46L1 efficiency 13.16L2 results 13.23L3 Power 13.04Random walker 14.01Résumé 13.04SRS / Massey 13.20Win percentage 13.82
    13.04 FAIL
    12.5further left is better15.8
    • along the line, low to high
    • the bar12.8
  3. And keep the blowout misses rare.

    Root mean squared error at or below the ceiling

    the bar 15.8
    Colley 17.24Elo 17.10Home team wins 19.86L1 efficiency 16.68L2 results 16.74L3 Power 16.53Random walker 17.98Résumé 16.53SRS / Massey 16.70Win percentage 17.66
    16.53 FAIL
    15.3further left is better20.4
    • along the line, low to high
    • the bar15.8
  4. When it says 70%, be right about seven times in ten.

    Worst decile calibration deviation within tolerance

    the bar 5.0
    7.37 FAIL
    4.7further left is betterno other system publishes this one, so there is nothing to compare7.7
    • along the line, low to high
    • the bar5.0
  5. Put the loser above the winner less often than anybody else does.

    Retrodictive violations at or below every baseline

    the bar is every other system
    Colley 19.8%Elo 22.0%L1 efficiency 24.3%L2 results 21.9%L3 Power 22.8%Random walker 20.2%Résumé 20.2%SRS / Massey 22.1%Win percentage 18.3%
    20.2% FAIL
    17.6%further left is better25.1%
    • along the line, low to high

Every bar sits above the best number any system scored here puts up, and each of those systems is a named mark on the same line. Some you want high and some you want low, so the word beside the mark is the verdict, not the side it is on. A bar drawn around the systems you beat is not a bar.

Failing a bar set at somebody else’s best number does not make this ranking worse than the ones you already read. It means it is not better yet, and closing that gap is what the season is for.

2 more standards were written down and one season of data cannot settle them. They count as neither a pass nor a fail. The whole scoreboard, thresholds included →

where you argue

Tell it what it gets wrong.

You do not need code and you do not need an account. Send it to challenge@thepoll.ai and you get one of two answers: why not, argued from the same numbers, or your idea built and run in public. Both get written up on this site next to the poll.

  • The Story Why somebody who does not write Python had an AI build a ranking system, and what it got wrong last year.
  • The Model How it works, and the 7 standards it is measured against.
  • The Data Every game, every play, and the list of what it refuses to read.
  • The Invite Move a setting, send an argument, or build your own. Your name goes on what gets used.
How this projection was built, and the command that rebuilds it.
This recipe projects 2026, so it was fitted on season transitions whose target season finished before 2026, and on nothing else.
fitted on 2021 to 2022 through 2024 to 2025 · projection-3.0.0 · code 2a9e573 · settings 1ef7cf23
built 2026-08-20
Close

projected 12 of 138

Oklahoma

  • This poll12
  • AP10
  • Coaches9
7.3wins projected on its own schedule

Run on the one shared calendar every team is also scored against, the same team projects 8.5.

How good the model thinks they are

12th of 13815.4 rating, and it is what the board is sorted by

How hard their schedule is

6th of 1389.9 against a field whose middle is 4.9

home games6
conference, which the model never readsSEC

Oklahoma returns most of last year's offense, worth 1.6 points of rating.

Every game: the chance the model gives this team, and the side it picks

A missing week is an open date.

weekwhereopponentchancecall
1homeUTEP91%W
2awayMichigan44%L
3homeNew Mexico79%W
4awayGeorgia33%L
6neutralTexas51%W
7homeKentucky83%W
8awayMississippi State58%W
9homeSouth Carolina73%W
10awayFlorida52%W
11homeOle Miss64%W
12homeTexas A&M59%W
13awayMissouri46%L

Two numbers come out of that table Picking every favorite is not the same as expecting to win every one. A 75 percent favorite loses one week in four, so the wins always add up to fewer than the picks.

Projected wins7.3the 12 chances above, added up
Games it would pick93every game it makes the favorite, counted

The Host, on what the model found Half of Oklahoma's schedule is a coin flip. Six of the twelve games sit between 40 and 60 percent, the Red River game at 51 among them. Which of the six do you take?