Skip to content

Washington vs. USC Prediction, Odds & Pick

Prediction, odds and the model's read

Los Angeles Memorial ColiseumConference game

Our model's read

Model win probability
USC 86%
Model line
USC −15.2
Gridpex modelWASH 14% · USC 86%
Pick USCModel line USC −15.2

Scouting report

2026 · 2 games in, blended with the projection

Neither side projects a clear way in. Washington and USC rate within touching distance on every unit matchup here, closest at staying out of the backfield — on this evidence it comes down to the things a season profile cannot see.

The two teams

Washington

pass-leaning

Washington throws it: Jedd Fisch's offenses have been pass-leaning across 6 seasons. The strengths are on both sides of the ball, led by 8th at generating havoc. The way in is 136th at hitting chunk plays.

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 −18.9% — the profession as a whole is negative on this.

Washington has played 2 games against an average slate, adjusted for here. That football carries about 23% of what is below; the rest is still the preseason projection.

Strengths

  • Defensesacks and tackles for loss
    27.8%
    #8 of 138
  • Offensefirst and second down
    53%
    #9 of 138
  • Offensesacks and tackles for loss
    9.2%
    #11 of 138

Soft spots

  • Offensehitting chunk plays
    0.99
    #136 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.

Pregame line
Pregame total
Model line
USC −15.2
Projected total

Model prediction

how the number is built
Power rating (Elo)
USC 1837
WASH 1757
Projected spread
USC -15.2
incl. home edge
Model pick
USC
86% to win
Market spread
sportsbook line
Model vs market
Agrees
aligned w/ market
Win prob: model / mkt
86%
USC (no market)

Our model simulates the game drive by drive from each side's opponent-adjusted efficiency (USC Elo 1837, WASH Elo 1757 for reference), with home-field advantage. That projects USC -15.2 (86% to win), essentially in line with the market.

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

    WASH102nd86thUSC
    USC27th46thWASH
  • Through the air

    WASH51st49thUSC
    USC10th47thWASH
  • On the ground

    WASH109th49thUSC
    USC66th38thWASH
  • Staying on the field

    WASH101st51stUSC
    USC3rd31stWASH
  • Taking care of it

    WASH1st76thUSC
    USC104th5thWASH

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
WASH2026 season · national rank shownUSC
379.086th
Total yards / game
513.323rd
5.5102nd
Yards / play
7.227th
258.551st
Passing yards / game
340.710th
120.5109th
Rushing yards / game
172.766th
34.5%101st
3rd down %
69.4%3rd
256.534th
Yards allowed / game
270.044th
27.3%31st
3rd down % allowed
32.3%51st
+63rd
Turnover margin
-2109th
9.0123rd
Penalties / game
6.047th

The matchup, in context

series history + adjusted profiles
The series88 meetings since 1923

USC leads 5232–4 · Washington has won 3 straight · 42% have been one-possession games

Opponent-adjusted profile2026
WASH USC
+10.9 (#34)CORE overall+26.7 (#9)
-1 / -12offense / defense+20 / -6
1.65points / drive4.41
1.09allowed / drive1.57
25%three-and-outs4%
+13pass 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.

Create a free account →

You get Pro free for 6 months. No card required.

FAQ

Who will win Washington vs. USC?

Gridpex's model favors USC with a 86% win probability.

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

The model projects USC by 15.2.

What time is Washington 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.