Skip to content

UCLA vs California Prediction, Picks & Odds — Sep 5, 2026

Cal can't run the ball, UCLA can't throw it

Each offense is missing exactly the half the other defense can't stop, which is why the projection lands at 25-24.

The Film Room
Matchups ·
5 min read
This game has been played
Final: UCLA 45, California 24

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

Box score, drives and the model's numbers →
UCLA 51%
Projected favorite
to win · market: 54%
25–24
Projected score
UCLA–California
49
Projected total
line 54 · under 48%
42%
One-score game
decided by ≤3: 18%

UCLA is favored by under two points, and both offenses are missing the piece the other side is least equipped to defend. California's #121 run defense draws UCLA's #20 rushing attack, which returns 86% of its production. UCLA's #104 pass defense draws a quarterback who has to throw on nearly every meaningful down, because the ground game in front of him returns nothing.

Every way the game could go
1%
-38
2%
-32
5%
-24
9%
-18
14%
-10
17%
-4
17%
+4
14%
+10
10%
+18
6%
+24
2%
+32
1%
+38
0%
+46
UCLA winsCalifornia wins
Market: UCLA −2Projected: UCLA by 0 (51%)

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.

California's running game is starting from zero

California returns none of last season's rushing production, and the unit being replaced already ranked #128 nationally. That is a rebuild stacked on a weakness. Anthony League is back with 9% of the rush share and was a net negative per carry on it, so there is no established runner to hand the offense to on second-and-short.

That puts the offense on Jaron-Keawe Sagapolutele, projected for 210 to 300 passing yards with a 74% chance of a touchdown pass, the widest volume band of any player in this game. He has one season of record and a +0.152 career EPA/play, with no run threat to work off.

Pass offenseRush offensePass defenseRush defense
UCLA#127#20#104#129
California#81#128#22#121
Last season's units, ranked nationally (opponent-adjusted PPA). These ranks belong to last year's rosters: UCLA returns 44% of last season's passing production and 86% of its rushing production. California returns 66% of last season's passing production and 0% of its rushing production.

UCLA kept the running game intact

A #20 rushing offense returning 86% of its production against a #121 run defense is worth better than a full standard deviation, the largest gap on the field. The individual projections point at a committee: Jaivian Thomas at 16 to 44 yards, Anthony Woods at 14 to 38. The value there is possession length rather than chunk plays.

Every extra series the offense keeps is a series California's passing game doesn't get. UCLA's defense is the unit least able to survive volume, so a grinding, run-first script is the version of this game where it gets asked for the fewest stops.

What separates UCLA and California
CaliforniafavorsUCLA
Last season's body of worklast year's power rating, regressed toward the averageCalifornia +6
Roster talentoverall talent level of the roster — recruiting pedigree plus an independent preseason roster gradeUCLA +5
Transfer portalnet proven talent gained vs lost in transfers — it raises or lowers a roster's projected strengthUCLA +5
Quarterbackthe projected starter's quality and how settled the job isUCLA +2

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

Iamaleava has the harder read All night

Nico Iamaleava projects for 131 to 209 yards. UCLA's passing offense ranked #127 and returns just 44% of it. Jadyn Marshall is gone, Aidan Mizell arrives from Florida, and the room has to be rebuilt around Mikey Matthews and his +0.25 EPA per play on a 15% target share. Three FBS seasons and a +0.200 career EPA/play do not fix chemistry that hasn't been built.

Likely starterWhy we project himGIQ
UCLANico Iamaleava (returning)Returning starter — solidly productive
CaliforniaJaron-Keawe Sagapolutele (returning)Returning starter — solidly productive
Projected starting quarterbacks (GIQ = our 0–99 player rating)

Facing that rebuild is California's #22 pass defense, with Derek Wilkins and his eight pass breakups plus Aiden Manutai back, an 0.8 edge to California. Going the other direction is Mason Mini, a tight end who produced +0.43 EPA per play, projected for 20 to 55 yards with a one-in-three touchdown chance, working against a UCLA linebacker group whose returning production is Donavyn Pellot's 19 tackles.

TeamPlayerCategoryProjected rangeTD odds
UCLANico Iamaleavapassing131–209 yds68%
UCLAMikey Matthewsreceiving21–40 yds16%
UCLAJaivian Thomasrushing16–44 yds9%
UCLAAnthony Woodsrushing14–38 yds
CaliforniaJaron-Keawe Sagapolutelepassing210–300 yds74%
CaliforniaMason Minireceiving20–55 yds32%
CaliforniaMark Hamperreceiving24–41 yds
CaliforniaJordan Kingreceiving12–39 yds18%
Projected production, as ranges. A player's VOLUME is projectable; his per-play efficiency measurably is not, so these are bands rather than numbers.

Ten sacks is the number that explains UCLA's season

UCLA finished #134 in sacks with ten, #133 in tackles for loss, and #121 with four interceptions. That defense gave up 33.4 points a game. Cole Cogshell returns as the leading sack producer with one. Amier Washington comes in from Texas Tech, and Jamier Johnson's departure thins a secondary that already ranked #104.

2025 defensive production
UCLA10 sacks (#134), 4 INT (#121), 37 PD (#83)
California21 sacks (#91), 8 INT (#75), 53 PD (#10)
Last season's defense — disruption and takeaways (national rank)

Rodrick Pleasant's seven pass breakups are the best coverage production left on the roster, and he cannot cover three receivers. California's front was ordinary by comparison, 21 sacks and 58 tackles for loss, and it swapped edge Curlee Thomas IV for Jericho Johnson out of Oregon. Ordinary is enough against a passing game this unsettled, provided California first makes UCLA throw.

PlayerLast seasonGIQ
UCLARodrick Pleasant (DB)36 tkl, 7 PD83
UCLACole Cogshell (DL)4 tkl, 1.0 sacks73
UCLADonavyn Pellot (LB)19 tkl72
CaliforniaDerek Wilkins (DL)9 tkl, 8 PD72
CaliforniaAiden Manutai (DB)41 tkl, 2 PD, 1 INT77
CaliforniaJayden Wayne (LB)24 tkl, 2.0 sacks80
Returning defensive production — the disruptors who are back (GIQ = our 0–99 player rating)

California's honest path runs through the secondary

The route is to make this a throwing contest in both directions: hold up on early downs, let Sagapolutele attack a defense that produced four interceptions in a full season, and force Iamaleava into obvious passing situations against Wilkins and Manutai. UCLA covers only 45% of the time in this projection, landing about a point short of the number more often than not, and a one-score finish gets roughly a two-in-five chance.

This turns on which offense sets the terms

UCLA needs the game short: Thomas and Woods splitting carries, Iamaleava asked for a handful of throws rather than thirty, the defense kept off the field. California needs it long and fast, because a shootout is the environment where its rebuilt backfield never has to matter. At 25-24, win probability is effectively even, and tempo decides it.

SpreadWe project UCLA by 0; the market is wider at 2, so the value is the points with California. Preseason note: lines this early price information our projection doesn't have yet, and they carry the better track record before rosters settle — our number is on the record, not a recommendation.
TotalNo validated lean. We project 49 combined points against a 54 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 7% of the time and on 7 about 7% — the two numbers that decide the most bets.
Betting angle
Go deeper
Full game model →California page →The series: UCLA leads 58-35

Frequently asked questions

Who is predicted to win UCLA vs California?
Our projection favors UCLA with a 51% win probability. The projected final score is California 24–UCLA 25.
What is the predicted score for UCLA vs California?
We project California 24–UCLA 25, a combined 49 points.
What is the spread for UCLA vs California, and which side does the model like?
The betting line is UCLA −1.8. Our projection has UCLA winning by about 0, inside the number — the points are the value side.

Discussion

Weigh in on the analysis — the best takes rise to the top.

0 Replies

Sign in to join the discussion.