Skip to content

Michigan State vs. UCLA Prediction, Odds & Pick

Prediction, odds and the model's read

Rose BowlConference game

Our model's read

Model win probability
UCLA 83%
Model line
UCLA −15.4
Gridpex modelMSU 17% · UCLA 83%
Pick UCLAModel line UCLA −15.4

Scouting report

2026 · 2 games in, blended with the projection

Where UCLA gets at Michigan State: 9th at running it, against a unit 110th at defending the run. Michigan State projects no clear way in against UCLA. UCLA is also 18th in the push up front, against a unit 67th.

HowUCLAattacksMSU

  • 1

    Run it

    running it · 20% this season, 2 games

    UCLA+0.46
    #9 of 138
    MSU+0.22
    #110 of 138
  • 2

    Establish the push up front

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

    UCLA4.16
    #18 of 138
    MSU2.63
    #67 of 138
  • 3

    Win first and second down

    first and second down · 20% this season, 2 games

    UCLA56%
    #62 of 138
    MSU41%
    #109 of 138

The two teams

Michigan State

balanced

Michigan State is in year 1 under Pat Fitzgerald, whose offenses have been balanced. The way in is 130th at staying out of the backfield, and they are 123rd at hitting chunk plays.

On fourth down he goes for it more often than his peers do from the same spots (+3.6%). Against what the expected-points model recommends he is −17.0% — the profession as a whole is negative on this.

Michigan State has played 2 games against a soft slate, adjusted for here. That football carries about 22% of what is below; the rest is still the preseason projection.

Soft spots

  • Offensegetting stopped at the line
    15.9%
    #130 of 138
  • Offensehitting chunk plays
    1.11
    #123 of 138
  • Defensemoving the ball on the ground
    44%
    #118 of 138

UCLA

UCLA is in year 1 under Bob Chesney. The strengths are offensive, led by 9th at running it. The way in is 123rd at throwing it, and they are 121st at shutting down the ground game.

UCLA has played 2 games against an average slate, adjusted for here. That football carries about 24% of what is below; the rest is still the preseason projection.

Strengths

  • Offenserunning it
    +0.46
    #9 of 138
  • Offensethe push the line gets
    4.16
    #18 of 138

Soft spots

  • Offensethrowing it
    -0.04
    #123 of 138
  • Defensemoving the ball on the ground
    35%
    #121 of 138
  • Defenseturning trips inside the 40 into points
    4.25
    #120 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
UCLA −15.4
Projected total

Model prediction

how the number is built
Power rating (Elo)
UCLA 1479
MSU 1530
Projected spread
UCLA -15.4
incl. home edge
Model pick
UCLA
83% to win
Market spread
sportsbook line
Model vs market
Agrees
aligned w/ market
Win prob: model / mkt
83%
UCLA (no market)

Our model simulates the game drive by drive from each side's opponent-adjusted efficiency (UCLA Elo 1479, MSU Elo 1530 for reference), with home-field advantage. That projects UCLA -15.4 (83% 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

    MSU91st34thUCLA
    UCLA36th79thMSU
  • Through the air

    MSU65th45thUCLA
    UCLA114th38thMSU
  • On the ground

    MSU39th83rdUCLA
    UCLA22nd40thMSU
  • Staying on the field

    MSU43rd88thUCLA
    UCLA54th53rdMSU
  • Taking care of it

    MSU21st22ndUCLA
    UCLA49th75thMSU

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
MSU2026 season · national rank shownUCLA
434.551st
Total yards / game
413.069th
5.691st
Yards / play
6.936th
230.565th
Passing yards / game
167.5114th
204.039th
Rushing yards / game
245.522nd
48.5%43rd
3rd down %
45.5%54th
246.025th
Yards allowed / game
299.557th
33.3%53rd
3rd down % allowed
39.4%88th
+142nd
Turnover margin
+224th
4.017th
Penalties / game
10.0133rd

The matchup, in context

series history + adjusted profiles
Opponent-adjusted profile2026
MSU UCLA
-4.0 (#82)CORE overall+12.9 (#29)
-3 / +1offense / defense+9 / -4
2.90points / drive3.50
2.10allowed / drive1.42
0%three-and-outs33%
-2pass 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 Michigan State vs. UCLA?

Gridpex's model favors UCLA with a 83% win probability.

What's the predicted spread for Michigan State vs. UCLA?

The model projects UCLA by 15.4.

What time is Michigan State vs. UCLA and what channel is it on?

Time TBD, at Rose Bowl.

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.