College Football Analytics
College Football. Decoded.
Who’s good. Who has the path. What happens next.
Rivals Rundown brings national RPR rankings, projected wins, every FBS schedule, game-by-game score projections, win probabilities, weekly outlooks, Game Lab and model-vs-market analysis together in one place.
Schedule-adjusted outlook
Top Projected Wins
| Projected-Wins Rank | Team | Conference | RPR Rank | Projected Wins | Market Total | Adjusted Edge | Signal |
|---|---|---|---|---|---|---|---|
| 1 | Notre DameFighting Irish | Independent | #3RPR +26.8 | 10.89 | 11.5 | -0.29 | No Edge |
| 2 | Texas TechRed Raiders | Big 12 | #7RPR +22.5 | 10.70 | 10.5 | -0.18 | No Edge |
| 3 | Ohio StateBuckeyes | Big Ten | #1RPR +32.8 | 10.37 | 9.5 | +0.60 | Lean |
| 4 | OregonDucks | Big Ten | #2RPR +29.2 | 10.31 | 10.5 | -0.13 | No Edge |
| 5 | IndianaHoosiers | Big Ten | #5RPR +25.8 | 10.11 | 10.5 | -0.29 | No Edge |
| 6 | GeorgiaBulldogs | SEC | #4RPR +26.5 | 10.01 | 9.5 | +0.15 | No Edge |
| 7 | Miami (FL)Hurricanes | ACC | #8RPR +21.9 | 10.00 | 10.5 | -0.50 | Lean |
| 8 | Penn StateNittany Lions | Big Ten | #17RPR +16.1 | 9.18 | 8.5 | +0.35 | Lean |
| 9 | BYUCougars | Big 12 | #14RPR +16.8 | 9.11 | 8.5 | +0.44 | Lean |
| 10 | LSUTigers | SEC | #9RPR +21.4 | 8.97 | 8.5 | +0.43 | Lean |
Rundown Power Rating · RPR
How strong is your team?
RPR is Rivals Rundown’s neutral-field measure of underlying team quality. It answers a different question than projected wins, revealing when a team’s record outlook is being lifted—or limited—by its schedule.
Compare all 138 RPR and projected-win ranks →Measures overall team strength independent of schedule.
Pure team strengthOpponent strength. Venue. Timing. Context.
Translates team strength through the actual schedule into an expected win total.
Strength + schedule difficultyWhy both matter: a team can rank highly in RPR but have fewer projected wins because of a difficult schedule—or rank lower in RPR and still project well because the path is easier.
Ohio State
+32.8Projected-wins rank #3RPR #2Oregon
+29.2Projected-wins rank #4RPR #3Notre Dame
+26.8Projected-wins rank #1| RPR Rank | Team | Conference | RPR | Projected-Wins Rank | Projected Wins |
|---|---|---|---|---|---|
| 1 | Ohio State | Big Ten | +32.8 | #3 | 10.37 |
| 2 | Oregon | Big Ten | +29.2 | #4 | 10.31 |
| 3 | Notre Dame | Independent | +26.8 | #1 | 10.89 |
| 4 | Georgia | SEC | +26.5 | #6 | 10.01 |
| 5 | Indiana | Big Ten | +25.8 | #5 | 10.11 |
| 6 | Texas | SEC | +24.6 | #13 | 8.77 |
| 7 | Texas Tech | Big 12 | +22.5 | #2 | 10.70 |
| 8 | Miami (FL) | ACC | +21.9 | #7 | 10.00 |
| 9 | LSU | SEC | +21.4 | #10 | 8.97 |
| 10 | Texas A&M | SEC | +20.9 | #18 | 8.44 |
| 11 | USC | Big Ten | +17.9 | #26 | 7.92 |
| 12 | Alabama | SEC | +17.9 | #21 | 8.11 |
| 13 | Oklahoma | SEC | +17.8 | #41 | 7.51 |
| 14 | BYU | Big 12 | +16.8 | #9 | 9.11 |
| 15 | Michigan | Big Ten | +16.7 | #37 | 7.60 |
| 16 | Ole Miss | SEC | +16.7 | #50 | 7.14 |
| 17 | Penn State | Big Ten | +16.1 | #8 | 9.18 |
| 18 | Tennessee | SEC | +15.8 | #46 | 7.32 |
| 19 | Washington | Big Ten | +15.2 | #28 | 7.90 |
| 20 | Florida | SEC | +14.8 | #54 | 7.09 |
| 21 | Missouri | SEC | +14.3 | #52 | 7.13 |
| 22 | Iowa | Big Ten | +12.9 | #33 | 7.81 |
| 23 | Clemson | ACC | +12.8 | #31 | 7.82 |
| 24 | South Carolina | SEC | +12.4 | #65 | 6.67 |
| 25 | Auburn | SEC | +12.0 | #64 | 6.71 |
Model vs. market
Strongest Model-Market Edges
Ranked by adjusted edge relative to projection uncertainty. These are model signals, not wagering recommendations.
Conference rundown
Explore every league
ACC
RPR leader: Miami (FL)
14 teamsAmerican
RPR leader: Navy
16 teamsBig 12
RPR leader: Texas Tech
18 teamsBig Ten
RPR leader: Ohio State
10 teamsConference USA
RPR leader: Western Kentucky
2 teamsIndependent
RPR leader: Notre Dame
13 teamsMAC
RPR leader: Miami (OH)
10 teamsMountain West
RPR leader: UNLV
8 teamsPac-12
RPR leader: Boise State
Flex schedule16 teamsSEC
RPR leader: Georgia
14 teamsSun Belt
RPR leader: James Madison
Transparent by design
How the model works
Rate every team
RPR combines efficiency, roster continuity, quarterback experience, coaching stability and portal activity into neutral-field strength.
Analyze every game
Opponent strength, venue, travel, rest, road sequencing and matchup interactions create game-level margins.
Project the season
Simulations create expected wins and record distributions; a calibrated uncertainty layer translates game projections into win probability.
