Oklahoma did virtually everything it could have done during its 51–0 season-opening victory over UTEP.
The Sooners scored on offense, created disruptive plays on defense, produced a shutout and controlled the game from beginning to end. However, an honest national power rating cannot simply arrange teams according to which program won by the most points.
The quality of the opponent matters. So does returning production, roster talent, quarterback stability, coaching continuity and the limited value of a one-game sample.
That is why OUInsider recalibrated and expanded its analytics system following Week 1 of the 2026 season.
The updated model rewards Oklahoma for thoroughly dominating UTEP without treating a 51-point victory over the Miners the same as a comparable performance against a nationally ranked opponent.
Once every category was recalculated, Oklahoma landed at No. 6 nationally in the revised OUInsider Power Index entering Saturday’s game at Michigan.
Ohio State occupies the top spot, followed by Notre Dame, Georgia, Texas and Texas A&M. Oklahoma is sixth, with LSU, Oregon, USC and South Carolina completing the Top 10.
OUInsider Week 1 Top 25
| Rank | Team | OPI | OOR | ODR | GCI | ORR |
|---|---|---|---|---|---|---|
| 1 | Ohio State | 76.60 | 78.77 | 78.65 | 90.42 | 81.06 |
| 2 | Notre Dame | 76.00 | 83.75 | 73.93 | 78.05 | 79.21 |
| 3 | Georgia | 75.17 | 78.75 | 73.00 | 87.34 | 76.10 |
| 4 | Texas | 74.01 | 73.70 | 68.96 | 88.78 | 80.82 |
| 5 | Texas A&M | 73.42 | 74.49 | 76.07 | 90.42 | 81.06 |
| 6 | Oklahoma | 71.90 | 69.31 | 74.69 | 89.60 | 80.94 |
| 7 | LSU | 71.25 | 62.24 | 72.37 | 92.40 | 84.24 |
| 8 | Oregon | 69.71 | 76.24 | 65.94 | 61.42 | 70.66 |
| 9 | USC | 69.65 | 74.22 | 65.18 | 90.42 | 79.71 |
| 10 | South Carolina | 68.19 | 65.35 | 63.78 | 90.42 | 81.06 |
| 11 | Indiana | 67.95 | 80.23 | 68.08 | 78.05 | 79.21 |
| 12 | Alabama | 66.52 | 60.35 | 68.40 | 87.95 | 80.69 |
| 13 | Texas Tech | 66.46 | 73.27 | 71.09 | 81.24 | 74.59 |
| 14 | Penn State | 66.23 | 67.76 | 63.40 | 90.42 | 81.06 |
| 15 | Florida | 65.79 | 58.79 | 61.59 | 86.30 | 80.44 |
| 16 | Ole Miss | 64.78 | 72.30 | 54.45 | 51.74 | 71.77 |
| 17 | Tennessee | 63.80 | 70.65 | 51.51 | 85.81 | 75.87 |
| 18 | Washington | 62.75 | 68.71 | 66.24 | 64.85 | 73.93 |
| 19 | Iowa | 61.98 | 57.45 | 64.56 | 90.42 | 81.06 |
| 20 | Nebraska | 61.96 | 65.35 | 55.73 | 78.05 | 79.21 |
| 21 | Mississippi State | 61.85 | 66.84 | 45.99 | 89.60 | 80.94 |
| 22 | BYU | 61.13 | 68.58 | 62.90 | 87.34 | 76.10 |
| 23 | Pittsburgh | 58.07 | 59.71 | 52.50 | 88.78 | 80.82 |
| 24 | Louisville | 57.56 | 68.17 | 51.76 | 48.17 | 36.61 |
| 25 | New Mexico State | 57.41 | 58.84 | 54.26 | 86.19 | 54.64 |
Why OUInsider rebuilt the model
Our initial Week 1 calculation effectively identified the teams with the most statistically dominant individual performances.
That information was useful, but the resulting order exposed an obvious early-season problem: teams that recorded lopsided victories over significantly weaker opponents were climbing above established national contenders.
To put it more bluntly, the original calculation measured Week 1 domination better than it measured sustainable team quality. Which means that subpar teams playing bottom-feeders were being unjustly rewarded and it needed fixed.
That is not what the OUInsider Power Index is intended to do.
The question OPI should answer is simple: How good does this team appear to be right now, and how would it perform against another team on a neutral field?
To produce a more viable answer, we rebuilt the system around five principles:
- Opponent-adjust every performance.
- Use efficiency and game control instead of relying solely on raw totals.
- Limit the influence of scoring margins once games are decided.
- Blend early results with a gradually declining preseason baseline.
- Separate predictive strength from what a team has actually accomplished.
The Week 1 formula uses a 70% preseason baseline and 30% current-season performance.
That split is necessary because one game does not provide enough evidence to erase everything known about a team entering the season. As the schedule progresses, the preseason portion will steadily decline and actual 2026 performance will take control of the ratings.
The system also regresses extreme Week 1 performances toward the national average based on opponent quality. Scoring margin is capped, preventing teams from receiving unlimited credit for adding points against an overmatched opponent after the result is no longer in doubt.
That directly affects Oklahoma.
The Sooners receive significant credit for winning 51–0 and posting one of the week’s strongest Game Control Index scores. However, UTEP’s No. 111 placement in the current FBS model prevents that result from being evaluated like a 51-point victory over Georgia, Texas or Ohio State.
What every OUInsider rating means
OPI — OUInsider Power Index
OPI is the primary predictive ranking.
It combines offensive and defensive quality with game control, opponent strength, roster talent, continuity, special teams, player availability and coaching stability.
The Week 1 OPI formula is:
| Component | Weight |
|---|---|
| OOR | 28% |
| ODR | 28% |
| GCI | 12% |
| Opponent strength | 10% |
| Roster talent | 8% |
| RCI | 5% |
| STI | 4% |
| Player availability | 3% |
| Coaching stability | 2% |
OOR and ODR account for 56% of the rating because what a team does offensively and defensively remains the foundation of its strength.
The surrounding categories help establish whether that performance is repeatable.
OOR — OUInsider Offensive Rating
OOR measures offensive quality after accounting for the strength of the opposing defense.
It is designed to evaluate how efficiently an offense moves the football, creates explosive plays, stays ahead of schedule, finishes drives, protects its quarterback and avoids damaging turnovers.
Oklahoma posted a 69.31 OOR against UTEP. That was a strong performance, but it did not receive the same adjustment it would have earned against an elite defense.
ODR — OUInsider Defensive Rating
ODR measures defensive quality through points and yards allowed, opponent passing performance, explosive-play prevention, disruption and turnover production.
Oklahoma’s 74.69 ODR is higher than its offensive rating, which reflects both the 51–0 shutout and the larger preseason expectations surrounding Brent Venables’ defense.
The Sooners allowed UTEP very little sustainable offense and prevented the Miners from producing the explosive plays necessary to change the complexion of the game.
GCI — Game Control Index
GCI measures who controlled the meaningful portion of a game.
It is not simply time of possession or final scoring margin. The index examines how consistently a team controlled the score, drives, efficiency and important game situations before the outcome was decided.
Oklahoma recorded an 89.60 opponent-adjusted GCI against UTEP, one of the strongest marks in the country.
The score confirms what was apparent Friday night: the Sooners did not merely beat UTEP. They controlled the game almost immediately and never gave the Miners a legitimate opportunity to threaten them.
ORR — OUInsider Résumé Rating
OPI and ORR answer different questions.
OPI asks how good a team is. ORR asks what that team has accomplished.
The résumé formula includes:
| Component | Weight |
|---|---|
| Game result | 35% |
| Opponent strength | 25% |
| Adjusted GCI | 15% |
| Capped scoring margin | 15% |
| Road context | 10% |
Oklahoma’s Week 1 ORR is 80.94.
The Sooners are rewarded for dominating their opener, but the opponent-strength category and lack of a road component prevent the UTEP victory from carrying the value of a major win away from home.
Separating power from résumé keeps the familiar argument between the “best team” and “most deserving team” from contaminating one ranking.
RCI — Roster and Continuity Index
The Roster and Continuity Index helps stabilize the early-season ratings by measuring the foundation surrounding each team.
Its components are:
| Component | Weight |
|---|---|
| Returning production | 45% |
| Quarterback continuity | 20% |
| Coaching continuity | 15% |
| Roster talent | 10% |
| Transfer-portal impact | 10% |
Oklahoma owns a 77.40 RCI.
The Sooners returned considerable experience, retained an established defensive foundation and entered the season with stability at quarterback. Those factors matter more in September, when each team has provided only one game of current-season evidence.
STI — Special Teams Index
STI separates the hidden-yardage portion of football into its own rating.
Kicking, punting, returns, coverage and field-position value can decide close games even when they receive considerably less attention than offense or defense.
Oklahoma currently owns a 78.57 STI.
Complete national special-teams information is not yet available for every program. When trustworthy information is missing, the category remains neutral rather than inserting a fabricated estimate.
DQI — Data Quality Index
The Data Quality Index does not measure whether a team is good or bad. It measures how much reliable information supports its rating.
Oklahoma’s current DQI is 87.50.
A lower DQI means a ranking should be viewed with less confidence until the model receives more complete information. This allows readers to distinguish between a surprising result supported by strong data and one affected by missing fields or a limited preseason profile.
How Oklahoma reached No. 6
Oklahoma did not reach No. 6 solely because it beat UTEP 51–0.
The Sooners reached that position because their Week 1 performance supported an already strong preseason profile.
OU produced an elite 89.60 GCI, a 74.69 defensive rating and an 80.94 résumé rating. Its 77.40 roster-and-continuity score provided additional evidence that the performance was not necessarily a one-week statistical outlier.
At the same time, the opponent adjustment kept the final number under control. Oklahoma’s offensive rating settled at 69.31, and its overall OPI finished at 71.90—strong enough for sixth nationally, but not strong enough to jump every established contender because of one shutout.
That is precisely how the revised model is intended to operate.
It rewarded Oklahoma for complete domination. It also recognized that UTEP is currently rated near the bottom of the FBS.
Oklahoma and Michigan enter Week 2 from very different positions
| Team | OPI Rank | OPI | OOR | ODR | GCI | ORR | RCI |
|---|---|---|---|---|---|---|---|
| Oklahoma | 6 | 71.90 | 69.31 | 74.69 | 89.60 | 80.94 | 77.40 |
| Michigan | 33 | 55.82 | 56.30 | 60.69 | 48.41 | 65.55 | 65.70 |
| Western Michigan | 109 | 44.09 | 42.12 | 47.55 | 51.72 | 34.06 | 53.50 |
| UTEP | 111 | 43.89 | 43.16 | 44.92 | 6.25 | 23.62 | 50.00 |
Michigan enters Saturday ranked No. 33 with a 55.82 OPI following its narrow victory over Western Michigan.
The Wolverines’ 60.69 defensive rating remains the strongest portion of their profile. However, their 56.30 OOR and 48.41 GCI reflect an opener in which Michigan struggled to establish control.
Western Michigan is ranked No. 109 with a 44.09 OPI. The Broncos did not grade as an elite opponent, but their 51.72 GCI exceeded Michigan’s 48.41. That supports what the game itself suggested: Western Michigan controlled enough of the meaningful action to put the Wolverines in serious danger.
UTEP sits two places behind Western Michigan at No. 111.
That context is important. Oklahoma and Michigan both faced opponents rated near the bottom of the current model, but the Sooners controlled their matchup at a dramatically higher level.
Oklahoma’s 89.60 GCI compared to Michigan’s 48.41 does not guarantee anything Saturday in Ann Arbor. Venue, personnel availability and individual matchups will all matter.
It does show that Oklahoma played much closer to its intended identity during Week 1.
What happens to the rankings now?
These ratings will evolve every week.
The preseason baseline will steadily lose influence as each team builds a larger 2026 sample. Opponent ratings will become more reliable, résumé separation will increase and advanced categories will become active only when complete national information is available.
OUInsider will not manufacture missing statistics to make the model appear more complete than it is. Missing information remains neutral, and the DQI shows readers how much confidence should be placed in every result.
The objective is not to create another human poll or produce rankings designed to match the national consensus.
The objective is to build an evolving football model that separates reputation, predictive quality, actual accomplishment, game control, roster strength and data confidence—and then explains what the numbers mean in straightforward football terms.
For Oklahoma, the first recalibrated answer is encouraging.
The Sooners performed like a national contender against UTEP, and their broader preseason profile supports a Top-10 evaluation. They are No. 6 entering Week 2 because the model found strength in every major area without allowing the 51–0 margin to distort the result.
Michigan now provides the first opportunity to validate that ranking against a more talented opponent, on the road, inside one of college football’s most imposing environments.
