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San Diego State vs UCLA Prediction, Picks & Odds — Sep 12, 2026

San Diego State throws into UCLA's softest spot

UCLA won this matchup by 25 in 2023, then went 3-9; San Diego State went 9-4 and now owns the largest edge on the board.

The Film Room
Matchups ·
7 min read
This game has been played
Final: San Diego State 10, UCLA 28

What follows is the preview as it was published before kickoff — unedited.

Box score, drives and the model's numbers →
UCLA 53%
Projected favorite
to win · market: 79%
32–32
Projected score
San Diego State–UCLA
64
Projected total
line 53 · under 15%
36%
One-score game
decided by ≤3: 15%

UCLA beat San Diego State 35-10 in San Diego two years ago, and that scoreline is the version of these teams most people still carry into Saturday. Everything since cuts the other way. San Diego State went 9-4 last season. UCLA went 3-9 and averaged 18.2 points a game. The projection lands on 32-32, a game decided inside one possession rather than by eleven and a half points.

Every way the game could go
1%
-38
3%
-32
6%
-24
9%
-18
12%
-10
15%
-4
15%
+4
14%
+10
10%
+18
7%
+24
4%
+32
2%
+38
1%
+46
San Diego State winsUCLA wins
Market: UCLA −12Projected: UCLA by 1 (53%)

The range of outcomes for this game. Each bar is how often the final margin lands in that range — the more it leans toward UCLA, the more likely UCLA wins.

The 35-10 scoreline is the oldest fact in this game

Last season separated these two cleanly: 26.4 points a game and nine wins for San Diego State, 18.2 points and nine losses for UCLA. Two full recruiting and portal cycles sit between now and that afternoon in San Diego.

Both opened with wins six days ago, by different routes. San Diego State scored on 61.5% of 13 drives against Portland State and gained 33.2 yards per drive in a 53-20 win. UCLA put 45 on California in Berkeley and won by 21 while going three-and-out on 57.1% of its 14 drives. The two drive charts do not describe the same offense.

ResultHow the offense movedLed by
San Diego StateW 53-20 vs Portland State61.5% of drives, 33.2 yds/drive
UCLAW 45-24 at California50.0% of drives, 31.8 yds/drive
Last time out — the most recent evidence on each side

The biggest edge on the board belongs to the underdog

Where the edges live
San Diego StatefavorsUCLA
Passing gameSan Diego State offense vs UCLA defenseSan Diego State — overwhelming edge
Run gameUCLA offense vs San Diego State defenseUCLA — overwhelming edge
Short-yardage / powerUCLA offense vs San Diego State defenseUCLA — big edge
Staying on scheduleUCLA offense vs San Diego State defenseUCLA — big edge
Big plays (overall)UCLA offense vs San Diego State defenseSan Diego State — clear edge

Each unit matchup this season, sorted by how decisive it is — the top bar is what most tilts the game. Bars toward UCLA are battles it should win; toward San Diego State are ones San Diego State wins.

The largest single advantage in this game is San Diego State throwing at UCLA, worth 2.94 standard deviations, and it belongs to the team getting points. Jayden Denegal projects for 113 to 209 passing yards with a 55% chance of a touchdown. The bottom of that band is a game San Diego State loses by two scores. The top is the game where the number never comes into play.

Jordan Napier's 32 to 103 receiving yards is the widest band on either roster, and its high end is the version where UCLA's coverage never gets settled. Jacob Bostick appeared in four games last season and still carries a 55% touchdown chance here. Lucky Sutton at 78 to 126 rushing yards keeps San Diego State from having to throw on every early down.

TeamPlayerCategoryProjected rangeTD odds
San Diego StateJayden Denegalpassing113–209 yds55%
San Diego StateLucky Suttonrushing78–126 yds55%
San Diego StateJordan Napierreceiving32–103 yds19%
San Diego StateDonovan Brownreceiving23–69 yds16%
UCLANico Iamaleavapassing147–235 yds72%
UCLAJaivian Thomasrushing18–50 yds10%
UCLAMikey Matthewsreceiving24–45 yds18%
UCLAAnthony Woodsrushing16–44 yds
Projected production, as ranges. A player's VOLUME is projectable; his per-play efficiency measurably is not, so these are bands rather than numbers.

UCLA scored 45 without staying on the field

UCLA scored on half of its drives in Berkeley while going three-and-out on more than half of them. That combination describes an offense that scores in bunches rather than in marches, and 45 points papers over it. San Diego State's defense grades best in exactly that column, big plays at 1.27 standard deviations, so UCLA is asked to win the version of the game it played worst last week.

The San Diego State defense is hard to beat over the top and reachable underneath. Against an opponent that produced its points without sustaining possessions, the deep half of that identity is the half that matters. UCLA's scoring then rides on grinding drives instead of the splash plays that carried the opener, and grinding drives are a slower way to reach 11.5.

San Diego State's defense against the league
2.392.92San Diego State (1.61) · 1.61
Points allowed per drive0th percentile — bottom of the range

Points allowed per drive across all FBS defenses (lower is better). San Diego State's defense is one of the best in the country — better than 100% of FBS defenses.

The door is on the ground, and it opens slowly

San Diego State's run defense ranks 119th of 185 by what it allows, and UCLA's three largest edges all aim straight at it: 2.65 standard deviations running the ball, 1.57 in short yardage, 1.51 staying on schedule. That stack produces first downs and field position, not the 25-point separation these teams last produced.

The backfield projections are narrower than the edges imply. Jaivian Thomas projects 18 to 50 rushing yards and Anthony Woods 16 to 44 against that soft front, committee work rather than a workhorse afternoon. Nico Iamaleava, at 147 to 235 passing yards and a 72% touchdown chance, carries the highest scoring likelihood of anyone in this game, which puts UCLA's ceiling in his hands rather than the run game's.

What separates UCLA and San Diego State
San Diego StatefavorsUCLA
Last season's body of worklast year's power rating, regressed toward the averageSan Diego State +7
Returning productionhow much of last year's production is back this seasonSan Diego State +5
Roster talentoverall talent level of the roster — recruiting pedigree plus an independent preseason roster gradeUCLA +3
In-season formschedule-adjusted results so far this seasonUCLA +2
Quarterbackthe projected starter's quality and how settled the job isUCLA +1

Each ingredient of our projection and the side it favors — bars toward UCLA are why it's the pick (home field is counted separately).

The number asks UCLA for more than it has shown

The projection gives UCLA roughly a 29% chance of covering 11.5 and about a 36% chance the game ends inside one score. Covering requires stacking scoring drives back to back, which is what the Berkeley drive data says UCLA did not do while winning by 21. San Diego State's side of the number asks for clock control, the more ordinary of the two requests.

The total is 53.2, and points are the likelier direction, with an under carrying only about a 15% chance. San Diego State allowed 20 in its opener and UCLA allowed 24. A 32-32 projection assumes both offenses keep finding the end zone rather than one defense taking the game over.

Keys to the coverHow likely
▸ For UCLA to cover -11.5~29% to cover
Score on nearly every possession — a top points-per-chance day, not just big playscoin-flip-ish
Break the methodical mold — chunk scores, not just long drivesunlikely
Win the turnover battle by 2+ — short fields are the fast path past 11.5unlikely
Bury the dog early — no slow start that keeps it a one-score game into the third quarterlean yes
▸ For San Diego State +11.5~71% to cover
Milk the clock with the passing game game — turn it into a low-possession rock fightcoin-flip-ish
Force a low-scoring, low-variance game — kill the favorite's extra possessionsunlikely
Win or tie the turnover battle — no gift-wrapped short fieldslean yes
Steal a possession — cash a fourth-down or special-teams play for an extra driveunlikely
What each side needs to beat the number, and how achievable it is. Edge to San Diego State +11.5: our projection has the favorite covering only 29% of the time — a methodical favorite that lands 11 points short of the number, with the dog's keep-it-close criteria (clock control, even turnovers) more achievable than the favorite's blowout stack.

UCLA's path is to shorten the game

Home field and the better recruited roster pull the same direction, and Iamaleava's 72% is the highest touchdown chance attached to any player here. If UCLA converts short yardage early and keeps San Diego State's offense off the field, the passing edge never gets the snaps it needs. A 2.94-standard-deviation advantage stops mattering when it only sees eight possessions.

San Diego State only needs the game to stay normal

San Diego State needs Denegal near the top of his range and a defense that keeps UCLA's chunk plays in front of it. The stalled drives that follow are where field position swings its way. UCLA needs the run game to turn those three-and-outs into possessions long enough to build a two-score cushion. Nothing in either opener says that happens by eleven and a half.

SpreadWe project UCLA by 1; the market is wider at 12, so the value is the points with San Diego State.
TotalNo validated lean. We project 64 combined points against a 53 line, but our totals projection doesn't yet have a graded track record, so we don't publish a lean on it.
Key numbersThe margin lands exactly on 3 about 5% of the time and on 7 about 6% — the two numbers that decide the most bets.
Betting angle
Go deeper
Full game model →UCLA page →The series: UCLA leads 18-1

Frequently asked questions

Who is predicted to win San Diego State vs UCLA?
Our projection favors UCLA with a 53% win probability. The projected final score is UCLA 32–San Diego State 32.
What is the predicted score for San Diego State vs UCLA?
We project UCLA 32–San Diego State 32, a combined 64 points.
What is the spread for San Diego State vs UCLA, and which side does the model like?
The betting line is UCLA −11.5. Our projection has UCLA winning by about 1, inside the number — the points are the value side.

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