The SportsWire

Oregon

2026 · week 6 result vs UCLA

Updated Tue Oct 13, 7:56 PM CT

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 ›

Game page: vs Nebraska ›

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)
SeasonResultSite
2017Oregon 42–35Autzen Stadium
2016Nebraska 35–32Memorial Stadium (Lincoln, NE)
RatingOregonNebraska
SP+ +21.0 #12 +16.9 #14
Elo 1831 1767

Projected margin for Oregon · three models and the line, side by side

SP+
+6.6
Oregon +21.0 vs Nebraska +16.9
avg miss 10.6
closest 47/79
Elo
+5.1
Oregon 1831 vs Nebraska 1767
avg miss 12.3
closest 33/79
Line · benchmark
+12.5
pregame line
avg miss 11.1
Our model · experimental
+12.7
Oregon +20.4 vs Nebraska +10.2
prior 55%
avg miss 11.8
closest 14/40
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.

Oregonlonger bar = betterNebraska

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
MeasureOregonNebraskaEdge
Off. success rate41.5%47.5%Nebraska
Off. explosiveness1.391.39Nebraska
Def. success rate allowed39.0%33.4%Nebraska
Def. explosiveness allowed1.181.38Oregon
Havoc created16.2%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.

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 Oregon was as high as 72% and lost Q1 Q2 Q3 Q4 100% 50% 0% 15–17
  1. 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)
  2. 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
  3. 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).

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.

Oregonlonger bar = betterUCLA
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.

MeasureOregonUCLAEdge
PPA / play-0.51-0.12UCLA
Total PPA-31.9-8.6UCLA
Success rate29.0%35.2%UCLA
Explosiveness0.621.09UCLA
Havoc created17.1%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

PlayerPass usagePPA/play
Brock Thomas QB 44% +0.9 +0.07
Dylan Raiola QB 53% -9.0 -0.53

Rushing

PlayerRush usagePPA/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

PlayerTarget usagePPA/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
MeasureOregonUCLAEdge
Rushing PPA-0.84-0.27UCLA
Rushing success35.7%31.1%Oregon
Passing PPA-0.12+0.10UCLA
Passing success25.0%41.7%UCLA
Standard downs PPA-0.66-0.24UCLA
Standard downs success41.5%38.2%Oregon
Passing downs PPA-0.23+0.27UCLA
Passing downs success4.8%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.

◀ OregonUCLA ▶
  • 17Drives16
  • 10Scoring opportunities11
  • 0.9Points per opportunity1.5
  • own 31Avg. starting field positionown 34
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.

OregonUCLA
1st2nd1st2nd
PPA / play-0.77-0.30-0.13-0.15
Success rate14%42%33%37%
Plays28333930

Recruiting

MeasureOregonUCLA
2026 class rank362
2026 class points303.22196.57
Talent composite 984.3
#3 of 138
774.5
#25 of 138
Transfer portal · 13 in, 31 out

Arrivals (13)

PlayerFrom★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)

PlayerTo★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
PlayerHometown★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% PPAPPAUsage
Overall75.3%373.367.0%
Passing94.5%162.398.0%
Receiving63.5%141.653.4%
Rushing68.3%69.448.5%

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.