Next up projections
vs Nebraska
Week 7 · Fri Oct 16, 11:00 PM CT / 12:00 AM ET · Autzen Stadium (Eugene) · Nebraska (FBS, Big Ten)
Our call: Oregon by 8.1Strong
All three models favor Oregon. The line, shown for comparison only, has Oregon by 12.5.
The average of SP+, Elo and Our model; the line is left out and kept as a benchmark. Toss-up under 3 points, Lean 3 to 7, Strong 7 and over. More ›
Regression watch: Flattered last game: the 2-point loss ran 21 points ahead of the play. In a 2022–25 study, teams flattered by more than 7 fell about 3 points short of their season form the next game. More ›
Schedule: Played the 29th-toughest schedule in FBS so far (average opponent rating -0.5); 31st-toughest remaining (+8.2). More ›
Opponents by our model's rating 5 played · 7 left
- Week 1 vs Boise State (+5.3)
- Week 2 at Oklahoma State (-1.0)
- Week 3 vs Portland State (-32.8) · FCS, pooled
- Week 4 at USC (+14.8)
- Week 6 vs UCLA (+11.2)
- Remaining:
- Week 7 vs Nebraska (+10.2)
- Week 8 at Illinois (-0.2)
- Week 9 vs Northwestern (+5.9)
- Week 10 at Ohio State (+25.9)
- Week 11 vs Michigan (+11.8)
- Week 12 at Michigan State (-0.6)
- Week 13 vs Washington (+4.2)
Each opponent's rating from our model's week 7 snapshot, in points against an average FBS team; the averages are ranked among the 138 FBS teams. Played means through week 6. Experimental, like the Our model card.
Series: Nebraska leads 6–2 · last: Oregon 42–35, 2017
Series history 8 meetings since 1952
- All-time: Nebraska leads 6–2 (8 meetings since 1952)
- Last meeting: Oregon 42–35, 2017, Autzen Stadium
- Streak: none
- At Autzen Stadium: Oregon leads 1–0 (1 meeting)
- Biggest margins: Oregon 20–12 (1953) · Nebraska 63–0 (1985)
- Since 2000: tied 1–1 (2 meetings)
| Season | Result | Site |
|---|---|---|
| 2017 | Oregon 42–35 | Autzen Stadium |
| 2016 | Nebraska 35–32 | Memorial Stadium (Lincoln, NE) |
| Rating | Oregon | Nebraska |
|---|---|---|
| SP+ | +21.0 #12 | +16.9 #14 |
| Elo | 1831 | 1767 |
Projected margin for Oregon · three models and the line, side by side
How to read this
- SP+ is a rating of how good a team is, in points better or worse than an average team, built from its play-by-play, so the gap between two teams' ratings is a projected margin.
- Elo is a rating that goes up with every win and down with every loss, more for beating a strong team, less for beating a weak one. The gap between two ratings is divided by 25 to turn it into points.
- The line is the pregame line, the margin the market expected, shown from Oregon's side. It is not one of the models: it is shown for comparison only, as the benchmark the models and Our call are measured against.
- Our model is this site's own experimental rating, built from each team's play-by-play adjusted for who it has played, blended with a preseason estimate from last season, returning players and recruiting. "prior 67%" means 67 percent of the rating is still that preseason estimate; the share shrinks as games are played.
- In SP+, Elo and our model the home team gets 2.5 points (Oregon); the line already includes the market's own home edge. The conversion to points is approximate.
- "avg miss 9.8" under a card is how far that model's projections have been from the actual margins this season, on average, in points. "closest 10/39" is how many of the season's 39 finished games that model came closest on (a tie counts for every tied model); the line, a benchmark, shows its average miss only. Shown once a model has 20 finished games.
- Our call, above the cards, is the site's prediction: the simple average of the SP+, Elo and our model margins. The pregame line is left out of it and kept as a benchmark to measure it against. Toss-up means the average is under 3 points, Lean 3 to 7, Strong 7 or more. It is made only when all three of those models have a number, and it is scored after the game like the models.
- Each card is one method's estimate, shown side by side; when they disagree, that is worth knowing.
- After a game, the sentence under the score shows every model and the line against the actual margin: ✓ when a model named the winner, ✗ when it did not (the line, a benchmark, gets no mark), and Closest: the model nearest the final margin among those present, never the line (an exact tie goes to the first listed). The "closest 10/39" counts keep the accuracy report's scoring of SP+ and Elo, where a tie credits both.
- Metrics explained: the four models and their track record ›
Efficiency matchup · season to date · Oregon 5 games, Nebraska 6 games
Edge: Nebraska wins 4 of 5
Nebraska moves the ball better, stops plays better, is more disruptive and has the edge on big plays. Oregon allows fewer big plays.
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41% Moves the ballsuccessful plays ✓47%
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39% Stops playssuccessful plays allowed ✓33%
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16% Disruptionsacks, TFLs, turnovers ✓18%
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1.39 Big playson offense ✓1.39
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1.18✓ Big plays allowedon defense 1.38
Run game, head to head · season to date
Oregon's runs work 42% of the time; Nebraska's run defense allows 33%. Nebraska's runs work 48% of the time; Oregon's run defense allows 38%.
More numbers
| Measure | Oregon | Nebraska | Edge |
|---|---|---|---|
| Off. success rate | 41.5% | 47.5% | Nebraska |
| Off. explosiveness | 1.39 | 1.39 | Nebraska |
| Def. success rate allowed | 39.0% | 33.4% | Nebraska |
| Def. explosiveness allowed | 1.18 | 1.38 | Oregon |
| Havoc created | 16.2% | 18.5% | Nebraska |
- Run game, success rate: Oregon offense 42.1% · Nebraska defense allows 33.1% · edge: Nebraska
- Run game, success rate: Nebraska offense 48.5% · Oregon defense allows 38.3% · edge: even
- Run game, PPA per play: Oregon offense -0.06 · Nebraska defense allows -0.05 · edge: Nebraska
- Run game, PPA per play: Nebraska offense +0.33 · Oregon defense allows -0.02 · edge: Nebraska
- Success rate: how often a play does its job, gaining enough yards to keep the offense on schedule.
- Explosiveness: how big a team's successful plays are on average; a higher number means more big gains.
- Havoc: how often the defense blows up a play with a sack, a tackle for loss, a takeaway or a pass broken up.
- PPA (predicted points added): how many points an average play is worth to the offense; above zero is good for the offense, below zero good for the defense.
How to read this
- Each row compares the two teams on one measure of how well they have played this season, offense and defense, using every game so far with garbage time (plays late in a decided game) left out.
- The run game rows pair one team's rushing offense with the other's run defense. The row goes to whichever side is further from the FBS baseline this season, the offense by how far it runs above it, the defense by how much less it allows (baseline: run success rate 43%, PPA per play +0.08, the midpoint of what FBS offenses gain and FBS defenses allow, since both also play FCS teams), so two strong sides or two weak ones are judged by which is the more so. Edges within 3 points of success rate or 0.05 PPA are even. A strong run offense against a weak run defense is where a team can control the game on the ground.
- In the five rows at the top the longer bar is the better number: bars are scaled within each row, and in the two "allowed" rows the lower number gets the longer bar.
- Success rate is the share of plays that kept the offense on schedule (half the yards needed on first down, most of them on second, all of them on third or fourth). Explosiveness is how big the successful plays were, on average, in points. Havoc is the share of the opponent's snaps the defense wrecked: a tackle for loss, a sack, a takeaway or a pass broken up.
- "Allowed" rows are what each defense gave up, so the lower value wins.
- These are not adjusted for who each team has played, so a light schedule flatters a team, and early in the season they rest on very few games.
- Metrics explained: success rate, explosiveness and havoc ›
Injuries
No injury report yet for this game. First reports usually come Wednesday.
Coverage (AI-assisted) · 14
Gathered by an AI model from public posts, not from CollegeFootballData. Not used in any number on this page. Verify against the linked sources. Beat coverage checked Tue Oct 13, 7:30 PM CT.
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Ettridge Named Ray Guy Award Punter of the Week
Bailey Ettridge was named the Ray Guy Award Punter of the Week after punting six times with a 48.17-yard average vs. UCLA, including a career-long-tying…
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Oregon plans quarterback competition if Dante Moore misses Nebraska
Dan Lanning said Oregon will have starting quarterback competition if Dante Moore cannot play Nebraska.
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UCLA QB Nico Iamaleava expected to miss rest of season
UCLA quarterback Nico Iamaleava is expected to miss the rest of the season.
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Big Ten issues statement on officiating near the end of UCLA-Oregon game
The conference commented on the spotting of Oregon's two-point conversion try.
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Oregon vs. Nebraska Set For 8 P.M. on FOX
Oregon will host Nebraska in Autzen Stadium at 8 p.m. on Saturday, Oct.
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Ducks Drop Top-25 Matchup to Bruins
Oregon struggled to find offensive consistency without injured QB Dante Moore and lost Saturday.
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UCLA gets first win at Oregon in 22 years
UCLA won at Oregon for the first time in 22 years as Bob Chesney starts 5-0.
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Oregon benches quarterback Dylan Raiola against UCLA
Oregon benched Dylan Raiola after three turnovers in the game versus UCLA.
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UCLA quarterback Nico Iamaleava doubtful to return versus Oregon
UCLA QB Nico Iamaleava left with an injury and did not return after halftime.
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5 Things to Watch: UCLA
The Ducks host the Bruins in a top-25 matchup at Autzen Stadium on Saturday (12:30 p.m., CBS).
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Mighty Oregon Podcast: Evan Stewart
The latest episode of the Mighty Oregon Podcast features the UO wide receiver who has expanded his game for the Ducks in 2026.
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Evan Stewart on Dante Moore at practice
Evan Stewart said Dante Moore looked healthy, good and smiling at Oregon practice.
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Dante Moore participates in Oregon practice
Dante Moore practiced in helmet and pads and threw the football per Dan Lanning.
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Texas-Tennessee was the most-watched Week 4 college football game
Texas-Tennessee drew 9.7 million viewers as Week 4's most-watched game per Nielsen.
3 entries about games now final not shown.
Score and result
Oregon 15, UCLA 17L
Game page: the call before kickoff and how each model did ›
Projected: SP+ n/a · Elo +9.9 ✗ · Our model +17.5 ✗ · the line (benchmark) +12.5 · actual -2 · Closest: Elo
Oregon was as high as 72% and lost
- Q4 2:13 · 1st & 10 · 55% → 13%(02:13) Shotgun #3 W.Knight rush right for 9 yards gain to the UCL44 (#3 K.Perich; #12 P.Woodyard)
- Q4 2:26 · 2nd & 10 · 14% → 55%(02:26) Shotgun #12 B.Thomas pass complete short middle to #7 E.Stewart caught at UCL42, for 44 yards to the UCL00 TOUCHDOWN, clock 02:16, 1ST DOWN #12 B.Thomas rush attempt failed PENALTY UCL Face Mask (#10 S.Omosigho) 2 yards from UCL03 to UCL01. NO PLAY #0 J.Davison rush attempt failed
- Q1 7:58 · 1st & 1 · 46% → 71%(07:58) #0 J.Davison rush left for 1 yard gain to the UCL00 TOUCHDOWN, clock 07:57 #12 B.Thomas rush attempt failed
Home at Autzen Stadium · Sat Oct 10, 2:30 PM CT / 3:30 PM ET · vs UCLA (FBS, Big Ten)
Opponent for every game-level number: UCLA (FBS, Big Ten).
- By quarter: Oregon 6-0-0-9 · UCLA 3-7-0-7
- Week 6 polls: Coaches: Oregon #13, UCLA #22 · AP: Oregon #13, UCLA #21
- Pregame Elo: Oregon 1844, UCLA 1660
- Postgame win probability: 12.1%
Verdict
The scoreboard flattered Oregon: the -2 margin ran 21 points ahead of the -23 implied by per-play quality (PPA (expected points added per play) -0.51 vs -0.12, success rate 29% vs 35%) (UCLA turned it over 3 times).
The verdict compares the score with the margin the plays earned. How it is reached ›
Efficiency
Edge: UCLA won 4 of 4
UCLA moved the ball better, got more from each play, hit the bigger plays and was more disruptive.
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29% Moved the ballsuccessful plays ✓35%
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-0.51 Points per playwhat a play was worth ✓-0.12
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0.62 Big playssize of the good plays ✓1.09
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17% Disruptionsacks, TFLs, turnovers ✓26%
More numbers
Oregon ran 62 plays, UCLA 71. Each number is that team's offense; UCLA's column is also what Oregon's defense allowed.
| Measure | Oregon | UCLA | Edge |
|---|---|---|---|
| PPA / play | -0.51 | -0.12 | UCLA |
| Total PPA | -31.9 | -8.6 | UCLA |
| Success rate | 29.0% | 35.2% | UCLA |
| Explosiveness | 0.62 | 1.09 | UCLA |
| Havoc created | 17.1% | 26.2% | UCLA |
- Success rate: how often a play did its job, gaining enough yards to keep the offense on schedule.
- Explosiveness: how big a team's successful plays were on average; a higher number means more big gains.
- Havoc: how often the defense blew up a play with a sack, a tackle for loss, a takeaway or a pass broken up. Counted from the play-by-play, so it is approximate.
- PPA (predicted points added): how many points an average play was worth to the offense. Total PPA adds up every play, and is what the Verdict compares with the score.
How to read this
- The four rows at the top compare the two offenses in this game; the longer bar is the better number, scaled within each row. A number at or below zero draws no bar.
- A check marks the better side of a row. The line above the rows counts them: it describes how the game was played, not who won it.
- Metrics explained ›
Top performers
Oregon players by cumulative PPA in this game. Usage is the share of the team's plays of that type involving the player. Receiving is passing-play PPA for non-quarterbacks.
Passing
| Player | Pass usage | PPA | /play |
|---|---|---|---|
| Brock Thomas QB | 44% | +0.9 | +0.07 |
| Dylan Raiola QB | 53% | -9.0 | -0.53 |
Rushing
| Player | Rush usage | PPA | /play |
|---|---|---|---|
| Dierre Hill Jr. RB | 36% | -0.8 | -0.08 |
| Evan Stewart WR | 4% | -4.7 | -4.73 |
| Brock Thomas QB | 7% | -5.8 | -2.88 |
| Jordon Davison RB | 46% | -6.4 | -0.49 |
Receiving
| Player | Target usage | PPA | /play |
|---|---|---|---|
| Dakorien Moore WR | 31% | +1.5 | +0.15 |
| Jalen Lott WR | 3% | +0.3 | +0.32 |
| Jamari Johnson TE | 6% | +0.3 | +0.13 |
| Jordon Davison RB | 3% | -0.1 | -0.08 |
By play type
| Measure | Oregon | UCLA | Edge |
|---|---|---|---|
| Rushing PPA | -0.84 | -0.27 | UCLA |
| Rushing success | 35.7% | 31.1% | Oregon |
| Passing PPA | -0.12 | +0.10 | UCLA |
| Passing success | 25.0% | 41.7% | UCLA |
| Standard downs PPA | -0.66 | -0.24 | UCLA |
| Standard downs success | 41.5% | 38.2% | Oregon |
| Passing downs PPA | -0.23 | +0.27 | UCLA |
| Passing downs success | 4.8% | 25.0% | UCLA |
Havoc detail — Oregon defense: TFL 4, sacks 2, takeaways 3, breakups 3 on 70 snaps. UCLA defense: TFL 5, sacks 0, takeaways 5, breakups 6 on 61 snaps.
Drives
A scoring opportunity is a drive that reaches the opponent's 40-yard line or scores; points per opportunity is the points those drives produced divided by their number.
By half
Shown because the game changed between halves: the per-play edge swung by 0.49 points a play (Oregon -0.64 in the first half, -0.15 in the second). Overtime counts with the second half.
| Oregon | UCLA | |||
|---|---|---|---|---|
| 1st | 2nd | 1st | 2nd | |
| PPA / play | -0.77 | -0.30 | -0.13 | -0.15 |
| Success rate | 14% | 42% | 33% | 37% |
| Plays | 28 | 33 | 39 | 30 |
Recruiting
| Measure | Oregon | UCLA |
|---|---|---|
| 2026 class rank | 3 | 62 |
| 2026 class points | 303.22 | 196.57 |
| Talent composite | 984.3 #3 of 138 |
774.5 #25 of 138 |
Transfer portal · 13 in, 31 out
Arrivals (13)
| Player | From | ★ | Elig. | Date |
|---|---|---|---|---|
| Dylan Raiola QB | Nebraska | 4 | Immediate | Jan 12, 2026 |
| D'Antre Robinson DL | North Carolina | 4 | Immediate | Jan 12, 2026 |
| Koi Perich S | Minnesota | 4 | Immediate | Jan 13, 2026 |
| Andrew Olesh TE | Penn State | 3 | Immediate | Jan 11, 2026 |
| Michael Bennett III OT | Yale | 3 | Immediate | Jan 12, 2026 |
| Iverson Hooks WR | UAB | 3 | Immediate | Jan 12, 2026 |
| Carl Williams IV S | Baylor | 3 | Immediate | Jan 12, 2026 |
| Bleu Dantzler EDGE | Oregon State | 3 | Immediate | Jan 14, 2026 |
| Jerome Simmons DL | UL Monroe | 3 | Immediate | Jan 14, 2026 |
| Simeon Price RB | Colorado | 3 | Immediate | Jan 14, 2026 |
+3 more not shown (13 total).
Departures (31)
| Player | To | ★ | Elig. | Date |
|---|---|---|---|---|
| Kingston Lopa S | California | 4 | Immediate | Jan 5, 2026 |
| Terrance Green DL | Alabama | 4 | Immediate | Jan 13, 2026 |
| Bryson Beaver QB | Georgia | 4 | Immediate | Jan 15, 2026 |
| Tionne Gray DL | Notre Dame | 4 | Immediate | Jan 15, 2026 |
| Blake Purchase EDGE | Ole Miss | 4 | Immediate | Jan 16, 2026 |
| Roger Saleapaga II TE | BYU | 4 | Immediate | Jan 17, 2026 |
| Jericho Johnson DL | California | 4 | Immediate | Jan 19, 2026 |
| Makhi Hughes RB | Houston | 3 | Immediate | Jan 4, 2026 |
| Solomon Davis S | San Diego State | 3 | Immediate | Jan 5, 2026 |
| Jahlil Florence CB | Missouri | 3 | Immediate | Jan 5, 2026 |
+21 more not shown (31 total).
2026 commits · 25
| Player | Hometown | ★ | Rating |
|---|---|---|---|
| Immanuel Iheanacho IOL | North Bethesda, MD | 5 | 0.9936 |
| Jalen Lott WR | Frisco, TX | 5 | 0.9898 |
| Anthony Jones Jr. EDGE | Mobile, AL | 5 | 0.9845 |
| Kendre Harrison TE | Reidsville, NC | 5 | 0.9843 |
| Jett Washington S | Las Vegas, NV | 4 | 0.9827 |
| Tony Cumberland DL | Eugene, OR | 4 | 0.9728 |
| Devin Jackson S | Orlando, FL | 4 | 0.9714 |
| Davon Benjamin S | Westlake Village, CA | 4 | 0.9632 |
| Tommy Tofi IOL | San Francisco, CA | 4 | 0.9620 |
| Tradarian Ball RB | Texarkana, TX | 4 | 0.9478 |
| Messiah Hampton WR | Rochester, NY | 4 | 0.9391 |
| Bryson Beaver QB | Murrieta, CA | 4 | 0.9228 |
| Braylon Hodge LB | Englewood, CO | 4 | 0.9207 |
| Xavier Lherisse S | Melbourne, FL | 4 | 0.9148 |
| Brandon Smith RB | Fresno, CA | 4 | 0.9132 |
+10 more not shown (25 total).
Returning production
Share of last season's production returning for Oregon in 2026.
| Unit | % PPA | PPA | Usage |
|---|---|---|---|
| Overall | 75.3% | 373.3 | 67.0% |
| Passing | 94.5% | 162.3 | 98.0% |
| Receiving | 63.5% | 141.6 | 53.4% |
| Rushing | 68.3% | 69.4 | 48.5% |
A figure above 100% or below 0% is expected when last season's returning players had negative PPA in that phase, since PPA can be negative.