San Diego State vs. UCLA: Final Score & Recap
Final score, recap & advanced stats


SDSUTeam statsUCLA
- Q4 2:16UCLAWayne Knight 36 Yd Run (Mateen Bhaghani Kick)10–28
- Q4 2:28SDSUJackson Ford 19 Yd pass from Jayden Denegal (Cooper DiLeva Kick)10–21
- Q4 4:31UCLAJaivian Thomas 1 Yd Run (Mateen Bhaghani Kick)3–21
- Q4 7:17UCLAWayne Knight 7 Yd Run (Mateen Bhaghani Kick)3–14
- Q4 13:11SDSUCooper DiLeva 46 Yd Field Goal 3–7
- Q3 11:17UCLAWayne Knight 8 Yd Run (Mateen Bhaghani Kick)0–7
How the model called it
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.
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.
Cumulative margin after each quarter. Above the line = SDSU ahead, below = UCLA ahead.
Play-by-play win probability isn't available for this game — scoreboard margin by quarter shown instead.
- PassJayden Denegal 6/17, 45 YDS, 1 TD, 1 INT
- RushLucky Sutton 19 CAR, 81 YDS
- RecJackson Ford 1 REC, 19 YDS, 1 TD
- PassNico Iamaleava 14/22, 151 YDS, 1 INT
- RushWayne Knight 13 CAR, 97 YDS, 3 TD
- RecSemaj Morgan 6 REC, 73 YDS
FAQ
What was the final score of San Diego State vs. UCLA?
San Diego State 10, UCLA 28.
Did Gridpex's model pick hit?
Yes — the model's pick (UCLA) was correct.
| SDSU | UCLA | |
|---|---|---|
| 189 | Total yards | 365 |
| 45 | Passing yards | 151 |
| 144 | Rushing yards | 214 |
| 14 | First downs | 19 |
| 2-12 | 3rd down | 4-11 |
| 0-1 | 4th down | 0-1 |
| 6/18 | Comp/Att | 14/23 |
| 2.5 | Yards per pass | 6.6 |
| 3.8 | Yards per rush | 5.0 |
| 1 | Turnovers | 1 |
| 4-37 | Penalties | 8-70 |
| 25:05 | Possession | 34:55 |
- Q4 2:16UCLAWayne Knight 36 Yd Run (Mateen Bhaghani Kick)10–28
- Q4 2:28SDSUJackson Ford 19 Yd pass from Jayden Denegal (Cooper DiLeva Kick)10–21
- Q4 4:31UCLAJaivian Thomas 1 Yd Run (Mateen Bhaghani Kick)3–21
- Q4 7:17UCLAWayne Knight 7 Yd Run (Mateen Bhaghani Kick)3–14
- Q4 13:11SDSUCooper DiLeva 46 Yd Field Goal 3–7
- Q3 11:17UCLAWayne Knight 8 Yd Run (Mateen Bhaghani Kick)0–7
Model prediction
how the number is builtOur model simulates the game drive by drive from each side's opponent-adjusted efficiency (UCLA Elo 1438, SDSU Elo 1518 for reference), with home-field advantage. That projects UCLA -0.8 (52% to win) — 12.7 points clear of SDSU's market line of -13.5. 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
Season form — 2026
nationally rankedThe matchup, in context
series history + adjusted profilesUCLA leads 18–1 · 11% have been one-possession games
| SDSU | UCLA | |
|---|---|---|
| +8.6 (#38) | CORE overall | +12.9 (#29) |
| +2 / -6 | offense / defense | +9 / -4 |
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.
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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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 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.
The biggest edge on the board belongs to the underdog
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.
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.
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.
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.
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.
Our coverage of this game
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 →

San Diego State wins