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USC vs UCLA: prediction and projected score

We project USC 28-27, a 1.3-point margin with 54.9 total points; USC wins 53% of the time.

Matchup analysis

Our model projects USC 28, UCLA 27 at Rose Bowl in Week 13. That is a genuine toss-up: USC wins about 53% of the time by our estimate, with a projected margin of 1.3 points and 54.9 combined points. Tags: coin flip.

USC is 6-2 against the 13th-toughest schedule so far, scoring 32.8 and allowing 25 points per game (+7.8 per game). UCLA (No. 7) is 7-0 against the 29th-toughest schedule so far, scoring 34.4 and allowing 15.3 points per game (+19.1 per game).

USC's elite offense (12th of 139 in our opponent-adjusted ratings, worth about 34.8 points against an average defense) meets UCLA's strong defense (24th) — an even matchup on paper, so game script and turnovers will decide how many points USC puts up. UCLA's middle-of-the-pack offense (44th of 139 in our opponent-adjusted ratings, worth about 29.6 points against an average defense) meets USC's strong defense (36th) — an even matchup on paper, so game script and turnovers will decide how many points UCLA puts up.

College football is noisy: even a well-rated projection misses the final margin by about 14 points on average. Based on how real results have scattered around our numbers, the final margin should land somewhere between USC by 24 and UCLA by 21 about 80% of the time.

UCLA gets about 2.1 points for playing at home. USC is still favoured on the road, so the ratings gap is bigger than the value of playing at home.

Market lines

Market lines · Source: The Odds API, ESPN, Action Network · Updated Oct 29, 9:25 AM UTC. Shown for information; not an input to our projections.

ProviderSpread (open → now)Total (open → now)Moneyline (USC / UCLA)
ConsensusUSC -10.555.5-470 / +360
DraftKingsUSC -10.555.5-470 / +360

This game's lines: CollegeFootballData.com · read Oct 22, 6:37 PM UTC.

ProjectionMarginTotalUCLA win
Our modelUSC -1.554.947%
Market consensusUSC -10.555.521%
Blended projectionUSC -955.827%

Blended projection = 0.16 x our margin + 0.84 x the market margin, weights fitted on past seasons (see methodology).

Model vs market

UCLA win probability
model 47% · market (no-vig) 21% · difference +26 pts
Margin
model USC -1.3 · market USC -10.5 · difference +9.2 pts (UCLA view)
Total
model 54.9 · market 55.5 · difference -0.6

Model margin is 9.2 pts more toward UCLA than the market.

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USC vs UCLA: stat comparison

Basic
StatUSCUCLA
Points per game32.8#4434.4#36
Points allowed per game25.0#7715.3#12
Yards per play6.37#456.38#43
Yards per play allowed5.81#834.92#20
Rushing yards per game143.6#106239.3#10
Net passing yards per game301.4#9194.3#104
Rushing yards allowed per game123.8#26107.7#10
Net passing yards allowed per game212.0#83194.0#49
Turnovers per game1.00#851.00#93
Takeaways per game0.63#1022.43#2
Sacks per game1.75#912.29#54
Sacks allowed per game1.38#411.29#38
Advanced
StatUSCUCLA
EPA per play+0.22#14+0.11#54
EPA per play allowed+0.09#99-0.17#3
Success rate50.6%#746.7%#35
Success rate allowed40.6%#6533.3%#2
Explosive play rate12.9%#6613.7%#45
Explosive plays allowed10.9%#4211.1%#57
Havoc rate12.7%#10316.7%#15
Havoc allowed10.7%#2012.8%#55
Points per scoring opportunity4.48#363.78#96
Points per opportunity allowed4.83#1323.68#53
Average starting field positionown 28#107own 35#3
Opponents' starting field positionown 28#44own 26#14
Offensive plays per game (pace)69.9#2568.0#49
Situational
StatUSCUCLA
Rushing EPA per play+0.04#89+0.17#19
Passing EPA per play+0.37#6+0.03#97
Rushing EPA allowed+0.02#61-0.05#28
Passing EPA allowed+0.17#114-0.28#1
Rushing success rate45.7%#5552.7%#3
Passing success rate54.6%#338.7%#103
Run stuff rate19.8%#11013.3%#15
Passing-down success rate43.4%#630.7%#75
Passing-down success allowed32.6%#10717.5%#1
Third-down conversion rate51.0%#1547.4%#27
Third-down rate allowed35.6%#3828.6%#4
Red-zone touchdown rate66.7%#4262.4%#68
Red-zone TD rate allowed66.7%#10550.0%#35

# = rank among 138 FBS teams. Efficiency numbers exclude garbage time. Per-play numbers of teams with a weak schedule are pulled toward their opponent-adjusted values (fully at one standard deviation below an average schedule). Source: play-by-play (cfbfastR / sportsdataverse), aggregated by us.

More: USC schedule · UCLA schedule · all Week 13 projections

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Projections are statistical estimates for entertainment and analysis only. They are not betting advice and nothing here guarantees any result.

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