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USC vs. Penn State Prediction, Odds & Pick

Prediction, odds and the model's read

Beaver StadiumConference game

Market vs our model

we are 18 toward USC

MarketOur model
SpreadPSU1.5USC16.5
PSU win53%13%

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

Scouting report

2026 projection · last season, roster and staff

Where USC gets at Penn State: 7th at moving the ball on the ground, against a unit 97th at shutting down the ground game. Penn State projects no clear way in against USC. USC is also 4th in the push up front, against a unit 88th.

HowUSCattacksPSU

  • 1

    Lean on the run

    moving the ball on the ground · projected

    USC
    #7 of 138
    PSU
    #97 of 138
  • 2

    Establish the push up front

    the push the line gets · projected

    USC
    #4 of 138
    PSU
    #88 of 138
  • 3

    Win first and second down

    first and second down · projected

    USC
    #3 of 138
    PSU
    #70 of 138

The two teams

USC

pass-leaning

USC throws it: Lincoln Riley's offenses have been pass-leaning across 9 seasons. The strengths are offensive, led by 3rd at throwing it.

On fourth down he goes for it about as often as his peers do from the same spots (+1.9%). Against what the expected-points model recommends he is −24.8% — the profession as a whole is negative on this.

USC has played 1 game against an average slate, adjusted for here. That football carries about 0% of what is below; the rest is still the preseason projection.

Projected strengths

  • Offensethrowing it
    #3
    projected
  • Offensefirst and second down
    #3
    projected
  • Offenseturning trips inside the 40 into points
    #4
    projected

Penn State

pass-leaning

Penn State throws it: Matt Campbell's offenses have been pass-leaning across 11 seasons. The strengths are defensive, led by 17th at keeping everything in front of them.

On fourth down he goes for it about as often as his peers do from the same spots (−1.6%). Against what the expected-points model recommends he is −27.2% — the profession as a whole is negative on this.

Penn State has played 1 game against an average slate, adjusted for here. That football carries about 0% of what is below; the rest is still the preseason projection.

Projected strengths

  • Defensehitting chunk plays
    #17
    projected

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)
PSU 1910
USC 1835
Projected spread
PSU +16.5
incl. home edge
Model pick
USC
88% to win
Market spread
PSU -1.5
sportsbook line
Model vs market
USC
18.0 pts apart
Win prob: model / mkt
13%
PSU · market 53%

Our model simulates the game drive by drive from each side's opponent-adjusted efficiency (PSU Elo 1910, USC Elo 1835 for reference), with home-field advantage. That projects PSU +16.5 (13% to win) 18.0 points clear of USC's market line of -1.5. 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

    USC26th35thPSU
    PSU56th57thUSC
  • Through the air

    USC4th11thPSU
    PSU35th50thUSC
  • On the ground

    USC74th70thPSU
    PSU98th25thUSC
  • Staying on the field

    USC6th19thPSU
    PSU33rd60thUSC
  • Taking care of it

    USC95th30thPSU
    PSU1st53rdUSC

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
USC2026 season · national rank shownPSU
528.517th
Total yards / game
421.561st
7.326th
Yards / play
6.456th
376.54th
Passing yards / game
296.035th
152.074th
Rushing yards / game
125.598th
66.7%6th
3rd down %
51.9%33rd
226.034th
Yards allowed / game
215.028th
33.3%60th
3rd down % allowed
21.7%19th
-189th
Turnover margin
+314th
5.038th
Penalties / game
4.019th

The matchup, in context

series history + adjusted profiles
The series11 meetings since 1922

USC leads 65 · 36% have been one-possession games

Opponent-adjusted profile2026
USC PSU
+32.7 (#2)CORE overall+19.4 (#13)
+22 / -11offense / defense+10 / -10
4.28points / drive4.09
1.11allowed / drive0.00
6%three-and-outs18%
+5pass over expected+2

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 USC vs. Penn State?

Gridpex's model favors USC with a 88% win probability.

What's the predicted spread for USC vs. Penn State?

The model projects USC by 16.5.

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

Time TBD, at Beaver Stadium.

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.