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Maryland 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 92%
Model line
USC −20.2
Gridpex modelMD 8% · USC 92%
Pick USCModel line USC −20.2

Scouting report

2026 · 2 games in, blended with the projection

Where Maryland gets at USC: 35th at hitting chunk plays, against a unit 97th at keeping everything in front of them. Where USC gets at Maryland: 5th at turning trips inside the 40 into points, against a unit 58th at holding teams to field goals. USC is also 5th at moving the ball on the ground, against a unit 51st.

HowMDattacksUSC

  • 1

    Take shots

    hitting chunk plays · 45% this season, 2 games

    MD1.38
    #35 of 138
    USC1.42
    #97 of 138

HowUSCattacksMD

  • 1

    Finish drives in the red zone

    turning trips inside the 40 into points · 27% this season, 2 games

    USC5.09
    #5 of 138
    MD4.67
    #58 of 138
  • 2

    Lean on the run

    moving the ball on the ground · 27% this season, 2 games

    USC52%
    #5 of 138
    MD26%
    #51 of 138
  • 3

    Trust the offense behind schedule

    surviving second and twelve · 23% this season, 2 games

    USC50%
    #2 of 138
    MD26%
    #47 of 138

The two teams

Maryland

heavily pass-leaning

Maryland throws it: Mike Locksley's offenses have been heavily pass-leaning across 6 seasons. The strengths are on both sides of the ball, led by 31st at defending the run.

On fourth down he goes for it about as often as his peers do from the same spots (+1.0%). Against what the expected-points model recommends he is −21.6% — the profession as a whole is negative on this.

Maryland has played 2 games against a genuinely tough slate, adjusted for here. That football carries about 18% of what is below; the rest is still the preseason projection.

Projected strengths

  • Defenserunning it
    -0.31
    #31 of 138
  • Offensesacks and tackles for loss
    11.4%
    #33 of 138
  • Offensehitting chunk plays
    1.38
    #35 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 −20.2
Projected total

Model prediction

how the number is built
Power rating (Elo)
USC 1837
MD 1495
Projected spread
USC -20.2
incl. home edge
Model pick
USC
92% to win
Market spread
sportsbook line
Model vs market
Agrees
aligned w/ market
Win prob: model / mkt
92%
USC (no market)

Our model simulates the game drive by drive from each side's opponent-adjusted efficiency (USC Elo 1837, MD Elo 1495 for reference), with home-field advantage. That projects USC -20.2 (92% 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

    MD26th86thUSC
    USC27th5thMD
  • Through the air

    MD21st49thUSC
    USC10th7thMD
  • On the ground

    MD23rd47thUSC
    USC67th5thMD
  • Staying on the field

    MD18th52ndUSC
    USC3rd29thMD
  • Taking care of it

    MD1st76thUSC
    USC104th22ndMD

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
MD2026 season · national rank shownUSC
560.59th
Total yards / game
513.323rd
7.226th
Yards / play
7.227th
315.521st
Passing yards / game
340.710th
245.023rd
Rushing yards / game
172.767th
55.2%18th
3rd down %
69.4%3rd
154.04th
Yards allowed / game
270.043rd
26.9%29th
3rd down % allowed
32.3%52nd
+411th
Turnover margin
-2108th
5.537th
Penalties / game
6.046th

The matchup, in context

series history + adjusted profiles
Opponent-adjusted profile2026
MD USC
+5.1 (#52)CORE overall+26.7 (#9)
+1 / -5offense / defense+20 / -6
3.46points / drive4.41
1.27allowed / drive1.57
18%three-and-outs4%
+19pass 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 Maryland vs. USC?

Gridpex's model favors USC with a 92% win probability.

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

The model projects USC by 20.2.

What time is Maryland 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.