Rate
Raw scoring margins enter a pure least-squares Massey system. FCS opponents remain in the network, while only FBS teams are ranked.
College football · 2026 · Preseason projection
A transparent Massey system for team strength, game probabilities, and projected regular-season records—built to change as the games do.
The distinction
Rank measures estimated team strength. Projected wins combine that strength with the difficulty and location of each opponent.
These are preseason estimates, not declarations. Team strength varies in each of 50,000 simulations, and the prior disappears after a team’s fourth game.
Preseason projection
Updated from the complete 2025 season and the current 2026 schedule.
| Rank | Team | Actual | Rating | SOS | Game projection | Conference projection | 6+ wins | View team |
|---|---|---|---|---|---|---|---|---|
| 1 | Indiana | 0–0 | 60.1 | #3620.5 avg. | 12–0 | 9–0 | 98% | |
| 2 | Ohio State | 0–0 | 51.6 | #427.8 avg. | 11–1 | 8–1 | 92% | |
| 3 | Oregon | 0–0 | 49.4 | #3022.3 avg. | 11–1 | 8–1 | 94% | |
| 4 | Notre Dame | 0–0 | 49.1 | #5616.6 avg. | 12–0 | 0–0 | 97% | |
| 5 | Texas Tech | 0–0 | 48.2 | #7610.4 avg. | 12–0 | 9–0 | 98% | |
| 6 | Miami | 0–0 | 45.2 | #6413.7 avg. | 11–1 | 9–0 | 96% | |
| 7 | Utah | 0–0 | 42.8 | #4019.9 avg. | 12–0 | 9–0 | 92% | |
| 8 | Georgia | 0–0 | 40.7 | #1424.3 avg. | 10–2 | 7–2 | 84% | |
| 9 | Iowa | 0–0 | 40.2 | #3321.0 avg. | 10–2 | 7–2 | 87% | |
| 10 | Ole Miss | 0–0 | 39.8 | #2322.7 avg. | 9–3 | 6–3 | 85% | |
| 11 | USC | 0–0 | 38.9 | #926.1 avg. | 8–4 | 5–4 | 81% | |
| 12 | Texas A&M | 0–0 | 38.5 | #2422.7 avg. | 10–2 | 7–2 | 84% | |
| 13 | Alabama | 0–0 | 38.5 | #1324.8 avg. | 11–1 | 8–1 | 81% | |
| 14 | Vanderbilt | 0–0 | 38.1 | #1225.2 avg. | 11–1 | 8–1 | 81% | |
| 15 | Washington | 0–0 | 37.3 | #1025.9 avg. | 9–3 | 6–3 | 78% | |
| 16 | Oklahoma | 0–0 | 36.7 | #826.2 avg. | 10–2 | 8–1 | 76% | |
| 17 | Penn State | 0–0 | 35.4 | #4219.1 avg. | 10–2 | 7–2 | 85% | |
| 18 | BYU | 0–0 | 35.4 | #3720.4 avg. | 10–2 | 8–1 | 83% | |
| 19 | Texas | 0–0 | 34.1 | #229.1 avg. | 7–5 | 5–4 | 69% | |
| 20 | Michigan | 0–0 | 33.6 | #329.0 avg. | 8–4 | 5–4 | 70% | |
| 21 | Illinois | 0–0 | 31.8 | #2722.5 avg. | 9–3 | 6–3 | 76% | |
| 22 | Florida State | 0–0 | 30.6 | #4119.8 avg. | 8–4 | 5–3 | 76% | |
| 23 | Arizona | 0–0 | 30.5 | #2222.8 avg. | 8–4 | 5–4 | 73% | |
| 24 | Missouri | 0–0 | 30.5 | #2023.6 avg. | 8–4 | 5–4 | 71% | |
| 25 | South Florida | 0–0 | 30.3 | #954.6 avg. | 12–0 | 8–0 | 94% | |
| 26 | Tennessee | 0–0 | 30.2 | #1623.9 avg. | 7–5 | 5–4 | 69% | |
| 27 | Virginia | 0–0 | 28.1 | #7410.9 avg. | 10–2 | 7–2 | 86% | |
| 28 | SMU | 0–0 | 27.8 | #6314.2 avg. | 9–3 | 7–2 | 82% | |
| 29 | North Texas | 0–0 | 27.6 | #876.6 avg. | 11–1 | 8–0 | 90% | |
| 30 | Auburn | 0–0 | 27.4 | #1823.7 avg. | 7–5 | 4–5 | 64% | |
| 31 | James Madison | 0–0 | 27.1 | #123-0.2 avg. | 12–0 | 8–0 | 94% | |
| 32 | Louisville | 0–0 | 27.0 | #4818.3 avg. | 9–3 | 7–2 | 73% | |
| 33 | LSU | 0–0 | 26.4 | #2622.7 avg. | 5–7 | 2–7 | 63% | |
| 34 | Pittsburgh | 0–0 | 26.0 | #6712.7 avg. | 10–2 | 7–2 | 81% | |
| 35 | Florida | 0–0 | 25.6 | #1524.2 avg. | 3–9 | 1–8 | 57% | |
| 36 | Kansas State | 0–0 | 25.4 | #5816.1 avg. | 8–4 | 5–4 | 74% | |
| 37 | TCU | 0–0 | 25.0 | #4518.6 avg. | 8–4 | 5–4 | 71% | |
| 38 | Iowa State | 0–0 | 24.7 | #5317.4 avg. | 8–4 | 6–3 | 72% | |
| 39 | NC State | 0–0 | 24.5 | #6513.4 avg. | 9–3 | 7–2 | 77% | |
| 40 | Clemson | 0–0 | 24.5 | #5916.0 avg. | 8–4 | 5–3 | 75% | |
| 41 | Georgia Tech | 0–0 | 24.5 | #5217.7 avg. | 9–3 | 6–2 | 71% | |
| 42 | Nebraska | 0–0 | 24.5 | #129.5 avg. | 4–8 | 1–8 | 49% | |
| 43 | South Carolina | 0–0 | 24.5 | #2123.1 avg. | 5–7 | 3–6 | 61% | |
| 44 | Arizona State | 0–0 | 23.6 | #4918.1 avg. | 8–4 | 6–3 | 67% | |
| 45 | Duke | 0–0 | 23.1 | #4319.0 avg. | 6–6 | 4–5 | 65% | |
| 46 | Northwestern | 0–0 | 22.9 | #1125.3 avg. | 4–8 | 1–8 | 54% | |
| 47 | Arkansas | 0–0 | 22.8 | #1923.6 avg. | 4–8 | 2–7 | 51% | |
| 48 | East Carolina | 0–0 | 22.3 | #925.2 avg. | 8–4 | 6–2 | 85% | |
| 49 | Wisconsin | 0–0 | 21.8 | #3920.3 avg. | 7–5 | 5–4 | 61% | |
| 50 | Houston | 0–0 | 21.4 | #6912.0 avg. | 9–3 | 6–3 | 74% | |
| 51 | Toledo | 0–0 | 21.0 | #136-2.7 avg. | 11–1 | 8–0 | 92% | |
| 52 | Wake Forest | 0–0 | 20.9 | #5018.0 avg. | 6–6 | 3–6 | 61% | |
| 53 | Kentucky | 0–0 | 20.3 | #726.2 avg. | 3–9 | 1–8 | 46% | |
| 54 | Kansas | 0–0 | 20.0 | #5716.5 avg. | 6–6 | 4–5 | 64% | |
| 55 | Old Dominion | 0–0 | 19.9 | #1072.0 avg. | 11–1 | 7–1 | 86% | |
| 56 | Washington State | 0–0 | 19.8 | #7510.9 avg. | 7–4 | 6–1 | 62% | |
| 57 | Mississippi State | 0–0 | 19.8 | #1723.7 avg. | 2–10 | 0–9 | 49% | |
| 58 | Cincinnati | 0–0 | 19.7 | #3520.7 avg. | 6–6 | 3–6 | 57% | |
| 59 | Rutgers | 0–0 | 19.5 | #5517.2 avg. | 5–7 | 2–7 | 58% | |
| 60 | Tulane | 0–0 | 19.4 | #7211.2 avg. | 7–5 | 5–3 | 73% | |
| 61 | Michigan State | 0–0 | 19.3 | #626.7 avg. | 4–8 | 2–7 | 44% | |
| 62 | Boise State | 0–0 | 19.3 | #7311.2 avg. | 9–2 | 6–1 | 67% | |
| 63 | San Diego State | 0–0 | 18.4 | #7910.0 avg. | 7–4 | 6–1 | 66% | |
| 64 | Baylor | 0–0 | 18.2 | #4418.8 avg. | 3–9 | 1–8 | 54% | |
| 65 | UTSA | 0–0 | 17.8 | #838.5 avg. | 8–4 | 5–3 | 74% | |
| 66 | Minnesota | 0–0 | 17.8 | #2922.3 avg. | 5–7 | 2–7 | 50% | |
| 67 | Memphis | 0–0 | 17.3 | #857.7 avg. | 7–5 | 5–3 | 74% | |
| 68 | Maryland | 0–0 | 17.1 | #3420.9 avg. | 6–6 | 3–6 | 51% | |
| 69 | Navy | 0–0 | 16.5 | #848.4 avg. | 8–3 | 6–2 | 67% | |
| 70 | New Mexico | 0–0 | 15.5 | #1151.2 avg. | 10–2 | 7–1 | 81% | |
| 71 | UCLA | 0–0 | 14.8 | #2522.7 avg. | 4–8 | 2–7 | 44% | |
| 72 | Purdue | 0–0 | 14.6 | #527.2 avg. | 3–9 | 2–7 | 34% | |
| 73 | UNLV | 0–0 | 14.0 | #934.8 avg. | 9–3 | 6–2 | 74% | |
| 74 | Army | 0–0 | 13.9 | #886.6 avg. | 8–3 | 5–3 | 64% | |
| 75 | UCF | 0–0 | 13.3 | #6214.5 avg. | 4–8 | 2–7 | 55% | |
| 76 | Virginia Tech | 0–0 | 13.0 | #5417.4 avg. | 3–9 | 2–7 | 46% | |
| 77 | Western Michigan | 0–0 | 12.5 | #1101.9 avg. | 9–3 | 7–1 | 78% | |
| 78 | Utah State | 0–0 | 12.5 | #6015.2 avg. | 5–6 | 3–4 | 44% | |
| 79 | Stanford | 0–0 | 11.5 | #2822.4 avg. | 2–10 | 0–9 | 36% | |
| 80 | Colorado | 0–0 | 11.3 | #3820.3 avg. | 3–9 | 2–7 | 38% | |
| 81 | Fresno State | 0–0 | 11.0 | #819.6 avg. | 5–6 | 2–5 | 52% | |
| 82 | Hawai'i | 0–0 | 10.8 | #1062.1 avg. | 10–2 | 8–0 | 73% | |
| 83 | California | 0–0 | 10.7 | #6114.6 avg. | 5–7 | 3–6 | 49% | |
| 84 | West Virginia | 0–0 | 10.0 | #4618.5 avg. | 3–9 | 1–8 | 42% | |
| 85 | Texas State | 0–0 | 9.9 | #6613.4 avg. | 5–6 | 4–3 | 46% | |
| 86 | Ohio | 0–0 | 9.6 | #127-0.7 avg. | 9–3 | 6–2 | 76% | |
| 87 | UConn | 0–0 | 7.4 | #1013.1 avg. | 6–6 | 0–0 | 65% | |
| 88 | Louisiana Tech | 0–0 | 6.7 | #1190.4 avg. | 7–5 | 6–2 | 66% | |
| 89 | Miami (OH) | 0–0 | 6.6 | #1131.4 avg. | 8–4 | 6–2 | 68% | |
| 90 | Boston College | 0–0 | 6.6 | #3121.1 avg. | 2–10 | 1–7 | 28% | |
| 91 | Kennesaw State | 0–0 | 6.0 | #133-2.4 avg. | 10–2 | 7–1 | 73% | |
| 92 | North Carolina | 0–0 | 5.9 | #3221.0 avg. | 2–10 | 1–7 | 27% | |
| 93 | Air Force | 0–0 | 5.8 | #126-0.5 avg. | 7–5 | 5–3 | 69% | |
| 94 | Temple | 0–0 | 5.7 | #809.7 avg. | 5–7 | 3–5 | 51% | |
| 95 | Western Kentucky | 0–0 | 5.1 | #974.0 avg. | 9–3 | 7–1 | 63% | |
| 96 | Marshall | 0–0 | 4.2 | #1141.3 avg. | 7–5 | 5–3 | 66% | |
| 97 | Syracuse | 0–0 | 2.7 | #4718.5 avg. | 1–11 | 0–9 | 26% | |
| 98 | Troy | 0–0 | 2.6 | #1091.9 avg. | 6–6 | 4–4 | 60% | |
| 99 | Wyoming | 0–0 | 1.5 | #1111.8 avg. | 5–7 | 4–4 | 56% | |
| 100 | Southern Miss | 0–0 | 1.5 | #1003.4 avg. | 5–7 | 4–4 | 51% | |
| 101 | Central Michigan | 0–0 | 0.7 | #1161.1 avg. | 7–5 | 5–3 | 58% | |
| 102 | Jacksonville State | 0–0 | 0.5 | #138-4.3 avg. | 8–4 | 5–3 | 66% | |
| 103 | Colorado State | 0–0 | 0.4 | #7111.2 avg. | 3–8 | 1–6 | 29% | |
| 104 | Florida International | 0–0 | 0.1 | #129-1.9 avg. | 6–6 | 4–4 | 62% | |
| 105 | Oregon State | 0–0 | -0.1 | #7011.8 avg. | 2–9 | 0–7 | 27% | |
| 106 | Liberty | 0–0 | -0.3 | #135-2.7 avg. | 7–5 | 5–3 | 63% | |
| 107 | Tulsa | 0–0 | -0.8 | #964.2 avg. | 6–6 | 3–5 | 48% | |
| 108 | Arkansas State | 0–0 | -0.9 | #1210.0 avg. | 5–7 | 4–4 | 56% | |
| 109 | Missouri State | 0–0 | -1.0 | #1022.5 avg. | 5–7 | 3–5 | 52% | |
| 110 | Nevada | 0–0 | -1.0 | #1042.3 avg. | 5–7 | 3–5 | 50% | |
| 111 | Georgia Southern | 0–0 | -1.2 | #905.9 avg. | 4–8 | 3–5 | 43% | |
| 112 | Oklahoma State | 0–0 | -1.2 | #5117.8 avg. | 1–11 | 0–9 | 21% | |
| 113 | San José State | 0–0 | -1.6 | #993.6 avg. | 5–8 | 4–5 | 55% | |
| 114 | Florida Atlantic | 0–0 | -1.7 | #828.9 avg. | 4–8 | 1–7 | 36% | |
| 115 | South Alabama | 0–0 | -2.6 | #1121.6 avg. | 4–8 | 3–5 | 49% | |
| 116 | Louisiana | 0–0 | -2.7 | #134-2.5 avg. | 9–3 | 6–2 | 59% | |
| 117 | Delaware | 0–0 | -2.8 | #983.9 avg. | 6–6 | 4–4 | 47% | |
| 118 | Northern Illinois | 0–0 | -3.9 | #915.5 avg. | 5–7 | 3–5 | 39% | |
| 119 | UAB | 0–0 | -4.0 | #7710.3 avg. | 3–9 | 1–7 | 30% | |
| 120 | Buffalo | 0–0 | -4.1 | #122-0.1 avg. | 5–7 | 4–4 | 50% | |
| 121 | Sacramento State | 0–0 | -4.3 | #137-3.2 avg. | 5–7 | 3–5 | 53% | |
| 122 | Bowling Green | 0–0 | -4.6 | #866.9 avg. | 4–8 | 4–4 | 34% | |
| 123 | Eastern Michigan | 0–0 | -4.9 | #1180.9 avg. | 5–7 | 3–5 | 45% | |
| 124 | App State | 0–0 | -4.9 | #1082.0 avg. | 4–8 | 2–6 | 44% | |
| 125 | Coastal Carolina | 0–0 | -5.6 | #128-1.5 avg. | 5–7 | 3–5 | 47% | |
| 126 | New Mexico State | 0–0 | -6.4 | #1170.9 avg. | 3–9 | 2–6 | 43% | |
| 127 | Middle Tennessee | 0–0 | -7.4 | #130-2.2 avg. | 4–8 | 3–5 | 46% | |
| 128 | Rice | 0–0 | -7.7 | #6812.0 avg. | 1–11 | 0–8 | 21% | |
| 129 | Kent State | 0–0 | -8.0 | #896.6 avg. | 3–9 | 2–6 | 30% | |
| 130 | UTEP | 0–0 | -9.1 | #944.8 avg. | 1–11 | 0–8 | 32% | |
| 131 | Akron | 0–0 | -9.7 | #1200.2 avg. | 4–8 | 3–5 | 37% | |
| 132 | Ball State | 0–0 | -10.7 | #1032.5 avg. | 2–10 | 1–7 | 32% | |
| 133 | Georgia State | 0–0 | -11.5 | #124-0.2 avg. | 2–10 | 1–7 | 33% | |
| 134 | Charlotte | 0–0 | -11.6 | #7810.2 avg. | 1–11 | 0–8 | 19% | |
| 135 | UL Monroe | 0–0 | -14.6 | #125-0.3 avg. | 1–11 | 0–8 | 29% | |
| 136 | North Dakota State | 0–0 | -14.8 | #131-2.2 avg. | 2–10 | 1–8 | 35% | |
| 137 | Sam Houston | 0–0 | -18.3 | #1052.1 avg. | 1–11 | 0–8 | 22% | |
| 138 | Massachusetts | 0–0 | -26.6 | #132-2.3 avg. | 2–10 | 0–8 | 16% |
Predictions on the record
Each forecast is preserved before kickoff. Once scores arrive, the original choices remain unchanged and their accuracy is added to the record.
Forecast: Preseason projection · preseason ratings. A tie at exactly 50% is assigned to the home team for the published pick.
Showing 8 of 8 games
| Date | Matchup | Predicted winner | Predicted margin | Win probability | Result |
|---|---|---|---|---|---|
| Aug 29 | North Carolinavs.TCU | TCU | 19.1 points | 74.7% | Pending |
| Aug 29 | San José StateatUSC | USC | 40.5 points | 93.4% | Pending |
| Aug 29 | NC StateatVirginia | Virginia | 3.5 points | 63.1% | Pending |
| Aug 29 | Jacksonville StateatNorth Dakota State | Jacksonville State | 15.3 points | 63.1% | Pending |
| Aug 29 | Sacramento StateatEastern Michigan | Eastern Michigan | 0.6 points | 57.5% | Pending |
| Aug 29 | Hawai'iatStanford | Stanford | 0.7 points | 59.3% | Pending |
| Aug 29 | New Mexico StateatFlorida State | Florida State | 37.1 points | 92.0% | Pending |
| Aug 29 | MemphisatUNLV | UNLV | 3.3 points | 53.7% | Pending |
Probability check
A well-calibrated model should win roughly seven of every ten games placed in the 70–79% band. This record accumulates through the season.
Calibration results will appear after the first week’s scores are recorded.
How it works
Raw scoring margins enter a pure least-squares Massey system. FCS opponents remain in the network, while only FBS teams are ranked.
A logistic probability curve was trained on chronological 2021–24 predictions and tested against the untouched 2025 season.
Each scheduled game is played 50,000 times while allowing for genuine uncertainty in every team’s preseason strength.
Strength of schedule is the average current Massey rating of every opponent on a team’s known regular-season schedule, including lower-division opponents. Rank No. 1 denotes the most difficult schedule. Because opponent ratings change as results accumulate, schedule strength is recalculated with every weekly update.
The exact weekly calculation
M = Rhome − Raway + SM is the predicted scoring margin from the home team’s perspective. S is the historically observed 2.236-point scoring advantage for a true home game and zero at a neutral site.
P(home) = 1 ÷ (1 + e−(0.056917929D + 0.336009714I))D is the unadjusted rating difference and I is 1 for a true home game or 0 at a neutral site. The 0.336010 home coefficient is equivalent to 5.903 rating points for win-probability purposes; it is not an expected scoring margin. The visitor’s probability is 1 − P(home).
Try it yourself
Use team ratings to calculate the margin automatically, or enter an already calculated margin directly.
At a neutral site, a margin of 0.0 produces a 50.0% probability for each team. At a true home site, the scoring model adds 2.236 points, while the independently fitted probability model gives home status a 0.336010 log-odds effect—equivalent to 5.903 rating points for probability purposes.
The projection label and calibration values above identify the inputs used for the currently displayed week. The scoring adjustment estimates points on the scoreboard; the separately fitted logistic home effect estimates the chance of winning.
Regular-season schedule through Week 14. Conference championships and postseason games are excluded because their participants are not yet known.