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Playoff Picture

Analysis

Twelve spots. 50,000 simulated 2026 seasons, rerun after every week: each game already played is held at its actual result and the rest of the schedule is played out, through conference championships and a fitted selection committee.

A percentage here is the share of those seasons that end with the team in the field — not a ranking, and not a claim about any single game. Through week 2, 185 games played. Rebuilt 2026-09-13.

The field

Grouped by how often each team makes it, not by how many losses it can absorb — those are different questions. Nothing sits in the top band yet, and it should not: one week in, every team still has eleven games to play.

Near-lock

in 85%+ of simulated seasons1

Well placed

60–85%5

In the mix

30–60%8

No path found

missed in all 50,0002

Every team

All 138 FBS teams the simulation ran, not a top twenty-five. Search yours and it answers with what it tells you about the favourites — how often 50,000 simulated seasons end with them in the field, what winning out would be worth, and the record those seasons project. Open the team for its full loss curve.

138 of 138 teams. If they win out is how often the team makes the field in the simulated seasons where they lose no more games — early in a year that is 100% for nearly every power-conference team, and it is the number that starts separating them.

TeamRecMake CFPIf they win out
Notre Dame2-087%100%
Texas2-073%100%
Miami1-070%100%
Indiana1-064%100%
Georgia1-064%100%
Ohio State1-162%100%
LSU2-055%100%
Texas Tech1-053%100%
Texas A&M2-043%100%
Alabama2-041%100%
Penn State2-037%100%
Utah1-032%100%
BYU1-032%100%
Florida1-030%100%
Tennessee1-029%100%
Virginia1-025%100%
Oregon1-122%100%
Missouri1-021%100%
Kansas State1-021%100%
Boise State1-120%80%
Michigan2-018%100%
USC3-017%100%
SMU1-017%100%
New Mexico1-015%97%
UCLA2-014%100%

Open a team for its full loss curve, its odds week by week, and what the model made of its last game. A wider screen adds the projected record and the columns for conference title and first-round bye.

Key games

The turning points of Stanford’s season, measured as the gap between the two outcomes: how much playoff probability moves depending on who wins. A game Stanford is not playing in can still move them, and later in the year those are the ones nobody works out for themselves.

Stanford’s own turning points

Points of playoff probability between winning and losing.

  • wk9at Louisville0.2
  • wk13vs SMU0.2
  • wk3at Duke0.2
  • wk11at Virginia Tech0.1
  • wk5at Wake Forest0.1
  • wk12at California0.1

Who to root for

Games Stanford is not in that move its odds most. Same units, much smaller scale.

  • wk6Maryland over Ohio State0.1
  • wk3Akron over Minnesota0.1
  • wk12Eastern Michigan over Western Michigan0.1
  • wk3Tulane over Kansas State0.1
  • wk11USC over Indiana0.1
  • wk11Rutgers over Nebraska0.1

The biggest swings in the sport

One row per game, naming the team it moves most among the teams not playing in it. This is the list that says which weekend to clear, whoever you support.

  • wk3New Mexico at Oklahoma7.4
  • wk4Northwestern at Indiana5.2
  • wk7Florida State at Miami4.4
  • wk3Miami at Wake Forest4.3
  • wk6LSU at Kentucky4.3
  • wk3James Madison at San Diego State4.3

Win out and it still might not be enough

For a power-conference team, running the table settles it: 44 of the 45 make the bracket in every simulated season they finish unbeaten. Outside those leagues it settles nothing, because the Group of 6 gets one bid and winning out only enters you into the argument for it.

  • Liberty0-1 · 2% now24%
  • Louisiana0-1 · 2% now36%
  • Western Michigan0-1 · 6% now54%
  • Memphis2-1 · 3% now55%
  • North Texas1-1 · 2% now62%
  • Army0-1 · 1% now65%
  • Boise State1-1 · 20% now80%
  • San Diego State0-1 · 3% now83%
  • App State1-0 · 2% now85%
  • Navy0-1 · 1% now87%

The last column is how often they make it in the simulated seasons where they lose no more games.

The Group of 6 race

One bid, to the highest-ranked champion outside the four power leagues — so these teams are competing against each other on a different rule, not against the SEC’s eighth best. All 62 with a path.

Who moved

Change in playoff probability from Week 1 to Week 2, in percentage points.

The second line is how each team did against the margin the ratings implied, which is what the model actually updates on. Winning is not the same as gaining: 17 of the 44 teams that came through week 2 unbeaten came out with worse odds than they went in with.

Gained the most

  • Utah14%32%+18.0
    No game the model counts — its opponent was FCS
  • Texas58%73%+15.2
    Won 59-7 over Texas Stateexp +27+24.7
  • Indiana54%64%+10.8
    Won 52-16 over North Texasexp +403.8
  • Alabama31%41%+9.9
    Won 48-10 over East Carolinaexp +22+15.7
  • Michigan8.6%18%+9.4
    Won 13-12 over Western Michiganexp +2524.4
  • Texas A&M35%43%+8.0
    Won 50-0 over Missouri Stateexp +42+7.6
  • Georgia56%64%+7.7
    No game the model counts — its opponent was FCS
  • Tennessee22%29%+7.1
    No game the model counts — its opponent was FCS

Lost the most

  • Oregon59%22%37.0
    Won 34-27 over Boise Stateexp +2719.5
  • Oklahoma31%13%17.8
    Won 51-0 over UTEPexp +41+10.5
  • Ohio State70%62%8.3
    Won 56-3 over Ball Stateexp +607.2
  • Texas Tech61%53%7.9
    No game the model counts — its opponent was FCS
  • Washington14%6.1%7.9
    Won 24-10 over Washington Stateexp +238.5
  • Memphis10%3.3%7.0
    2-0 on the week+15.4
  • Penn State43%37%6.9
    Won 45-0 over Marshallexp +27+18.2
  • Iowa18%12%6.1
    Won 40-0 over Northern Illinoisexp +34+5.8

Since preseason

The eight best odds on the board, week by week, on a shared 0–100% scale.

What a loss costs

The number every other tracker assumes is the same for everyone. It is not: a third loss leaves one of these teams comfortably in and another effectively out, and the difference is who they had the chance to beat. Affords is the most losses a team can take and still be better than even.

Share of simulated seasons a team makes the field, given it finishes with exactly that many losses. ⚠ These are raw conditionals: a team that reaches 9–3 against a brutal schedule is a better team than one that reaches 9–3 against an easy one, and some of the spread below is that rather than the committee rewarding a résumé.
Team0L1L2L3L4LAffords
Notre Dame10010086402
Texas1001001009283
Miami100100801612
Indiana10010076402
Georgia100100962402
Ohio State1001005813
LSU100100983602
Texas Tech1009952202
Texas A&M1001001005503
Alabama100100993802
Penn State1009839001
Utah1009952202
BYU100100781112
Florida100100983302
Tennessee100100972102
Virginia1009629101

What the simulation also says

  • 1.53 undefeated teams in an average simulated season.
  • The 2026 rule change alters the field in 9.5% of seasons compared with the 2025 rules.

The committee is fitted, not consulted: it recovers about eleven of the real committee’s top twelve on a walk-forward test. How this is built →