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Oregon vs. USC Prediction, Odds & Pick

Prediction, odds and the model's read

Los Angeles Memorial ColiseumConference game

Market vs our model

we are 5.7 toward USC

MarketOur model
SpreadORE5.5USC0.2
USC win32%51%

Calibrated against results, not against the closing line. Read this as our confidence, not as an edge over the market.

Scouting report

2026 · 2 games in, blended with the projection

Where Oregon gets at USC: 3rd at hitting chunk plays, against a unit 97th at keeping everything in front of them. Where USC gets at Oregon: 23rd at staying out of the backfield, against a unit 82nd at stuffing runs at the line. Oregon is also 9th in the push up front, against a unit 46th.

HowOREattacksUSC

  • 1

    Take shots

    hitting chunk plays · 48% this season, 2 games

    ORE1.57
    #3 of 138
    USC1.42
    #97 of 138
  • 2

    Establish the push up front

    the push the line gets · 20% this season, 2 games

    ORE3.20
    #9 of 138
    USC2.22
    #46 of 138

HowUSCattacksORE

  • 1

    Expect clean run lanes

    getting stopped at the line · 28% this season, 2 games

    USC16.5%
    #23 of 138
    ORE13.7%
    #82 of 138

The two teams

Oregon

pass-leaning

Oregon throws it: Dan Lanning's offenses have been pass-leaning across 4 seasons. The strengths are on both sides of the ball, led by 3rd at hitting chunk plays.

On fourth down he goes for it more often than his peers do from the same spots (+10.8%). Against what the expected-points model recommends he is −16.4% — the profession as a whole is negative on this.

Oregon has played 2 games against an average slate, adjusted for here. That football carries about 25% of what is below; the rest is still the preseason projection.

Strengths

  • Offensehitting chunk plays
    1.57
    #3 of 138
  • Defensethrowing it
    +0.05
    #3 of 138
  • Offensethrowing it
    +0.29
    #6 of 138

USC

pass-leaning

USC throws it: Lincoln Riley's offenses have been pass-leaning across 9 seasons. The strengths are offensive, led by 1st at throwing it. The way in is 114th at hitting chunk plays.

On fourth down he goes for it about as often as his peers do from the same spots (+2.0%). Against what the expected-points model recommends he is −24.9% — the profession as a whole is negative on this.

USC has played 2 games against an average slate, adjusted for here. That football carries about 25% of what is below; the rest is still the preseason projection.

Strengths

  • Offensethrowing it
    +0.87
    #1 of 138
  • Offensefirst and second down
    62%
    #2 of 138
  • Offensesurviving second and twelve
    50%
    #2 of 138

Soft spots

  • Offensehitting chunk plays
    1.11
    #114 of 138

Ranks are national. Nothing here is last season's number — carrying one forward is measurably worse than saying nothing — and in-season figures are adjusted for who was actually played. This describes the matchup; it is not a prediction and not a pick.

Head coaches only — there is no free feed for coordinators, so on a program where the head coach does not call the offense this describes the staff he hired. Play-calling identity is a style, not a grade: throwing more than the situations warrant is not better than throwing less than they warrant.

Model prediction

how the number is built
Power rating (Elo)
USC 1837
ORE 1811
Projected spread
USC -0.2
incl. home edge
Model pick
USC
51% to win
Market spread
USC +5.5
sportsbook line
Model vs market
USC
5.7 pts apart
Win prob: model / mkt
51%
USC · market 32%

Our model simulates the game drive by drive from each side's opponent-adjusted efficiency (USC Elo 1837, ORE Elo 1811 for reference), with home-field advantage. That projects USC -0.2 (51% to win) 5.7 points clear of USC's market line of +5.5. That is a disagreement, not a betting edge — sides we favour have not covered at better than breakeven.

Why that percentage is worth reading: across 604 graded in-season games, the calls this model put near 58% came in at 58.2%. The full calibration table is published, bin by bin. Early in the season the cold-start path runs instead and calibrates less well (Brier 0.2028 against 0.1889).

Model as of Sep 1 · through week 1 · drive simulation

Where the game is won

2026 national rank · right is better

offensethe defense it faces

  • Moving the ball

    ORE54th86thUSC
    USC27th95thORE
  • Through the air

    ORE33rd49thUSC
    USC10th112thORE
  • On the ground

    ORE118th49thUSC
    USC66th108thORE
  • Staying on the field

    ORE99th51stUSC
    USC3rd35thORE
  • Taking care of it

    ORE48th76thUSC
    USC104th76thORE

Each bar runs from last in the country on the left to 1st on the right. The filled span is the gap between the offense and the defense it faces.

Season form — 2026

nationally ranked
ORE2026 season · national rank shownUSC
389.080th
Total yards / game
513.323rd
6.454th
Yards / play
7.227th
284.533rd
Passing yards / game
340.710th
104.5118th
Rushing yards / game
172.766th
34.6%99th
3rd down %
69.4%3rd
414.0118th
Yards allowed / game
270.044th
28.1%35th
3rd down % allowed
32.3%51st
068th
Turnover margin
-2109th
8.5115th
Penalties / game
6.047th

The matchup, in context

series history + adjusted profiles
The series64 meetings since 1920

USC leads 3923–2 · Oregon has won 4 straight · 25% have been one-possession games

Opponent-adjusted profile2026
ORE USC
+16.4 (#23)CORE overall+26.7 (#9)
+7 / -9offense / defense+20 / -6
2.35points / drive4.41
2.31allowed / drive1.57
15%three-and-outs4%
+5pass over expected+3

Bold is the side ahead. CORE strips the situation from every play and solves the schedule out across the league, so these compare two teams that never met.

Pro

Key matchups

The analyst read: each team's offense splits crossed against the opponent's defense, with the edges called out.

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FAQ

Who will win Oregon vs. USC?

Gridpex's model favors USC with a 51% win probability.

What's the predicted spread for Oregon vs. USC?

The model projects USC by 0.2.

What time is Oregon vs. USC and what channel is it on?

Time TBD, at Los Angeles Memorial Coliseum.

Where this number comes from. Every projection on this page is produced by the same model, run before kickoff on opponent-adjusted efficiency, power ratings and situational data — walk-forward validated on eleven seasons and never adjusted after the fact. How the model works →

Model estimates for informational and entertainment purposes only. Not betting advice. 21+. If you or someone you know has a gambling problem, call 1-800-GAMBLER. Data: CollegeFootballData.