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2026 college football / Week 6 matchup

UCLAatOregon

UCLA · 4–0 · No. 21Oregon · 3–1 · No. 13

Saturday, October 10 · 2:30 PM CT · CBS
Autzen Stadium · Eugene, OR

Projected score (away / home)
24.7/36.4
Model line
Oregon −11.7
Market line
Oregon −11.5
Model pick
Oregon −11.5

01 / Team identity

Offense + defense

UCLA and Oregon: overall matchup fingerprintsScores run from 0 at the center to 100 at the outside. UCLA is a solid green line with round markers; Oregon is a dashed rust line with square markers. Exact values are listed beside the chart. Missing data is left unplotted. Pace indicates speed, not strength.EfficiencySuccessratePassingRushingExplosivenessHavocFinishingdrivesPace255075100

Larger = stronger. On pace, larger = faster.
Select a category to explore its underlying numbers.

Category / 0–100UCLAORE

Passing

Predicted points added on passing plays. Measures production through the air on offense and passing production allowed on defense.

UCLA
Offense
0.056 PPA/play
Defense
-0.036 PPA/play
Oregon
Offense
0.385 PPA/play
Defense
0.048 PPA/play

02 / Matchup advantages

4areas favor
UCLA

1closely matched
5-point threshold

2areas favor
Oregon

EfficiencyUCLA17.5 pts

Predicted points added (PPA) per play. A measure of how much value a team creates or allows on each snap.

UCLA offense

Offensive percentile
83.9
Opponent defensive percentile
54.7
Matchup attack score
64.6

Offense: 0.288 PPA/play
Opponent defense: 0.062 PPA/play

Oregon offense

Offensive percentile
85.4
Opponent defensive percentile
91.2
Matchup attack score
47.1

Offense: 0.292 PPA/play
Opponent defense: -0.083 PPA/play

Attack score = (offensive percentile + 100 − opponent defensive percentile) ÷ 2. The difference between the two scores determines the edge.

Success rateUCLA32.8 pts

How consistently a team produces successful plays on offense and prevents them on defense.

UCLA offense

Offensive percentile
89.1
Opponent defensive percentile
51.1
Matchup attack score
69.0

Offense: 50.2%
Opponent defense: 40.2%

Oregon offense

Offensive percentile
59.1
Opponent defensive percentile
86.9
Matchup attack score
36.1

Offense: 44.8%
Opponent defense: 34.5%

Attack score = (offensive percentile + 100 − opponent defensive percentile) ÷ 2. The difference between the two scores determines the edge.

PassingOregon23.4 pts

Predicted points added on passing plays. Measures production through the air on offense and passing production allowed on defense.

UCLA offense

Offensive percentile
20.4
Opponent defensive percentile
76.6
Matchup attack score
21.9

Offense: 0.056 PPA/play
Opponent defense: 0.048 PPA/play

Oregon offense

Offensive percentile
76.6
Opponent defensive percentile
86.1
Matchup attack score
45.3

Offense: 0.385 PPA/play
Opponent defense: -0.036 PPA/play

Attack score = (offensive percentile + 100 − opponent defensive percentile) ÷ 2. The difference between the two scores determines the edge.

RushingUCLA37.6 pts

Predicted points added on rushing plays. Measures ground-game production on offense and rushing production allowed on defense.

UCLA offense

Offensive percentile
100.0
Opponent defensive percentile
45.3
Matchup attack score
77.4

Offense: 0.465 PPA/play
Opponent defense: 0.084 PPA/play

Oregon offense

Offensive percentile
60.6
Opponent defensive percentile
81.0
Matchup attack score
39.8

Offense: 0.159 PPA/play
Opponent defense: -0.095 PPA/play

Attack score = (offensive percentile + 100 − opponent defensive percentile) ÷ 2. The difference between the two scores determines the edge.

ExplosivenessOregon42.7 pts

Predicted points added per successful play. Captures the impact of productive plays, beyond how often they happen.

UCLA offense

Offensive percentile
51.8
Opponent defensive percentile
56.9
Matchup attack score
47.4

Offense: 1.256 PPA/successful play
Opponent defense: 1.205 PPA/successful play

Oregon offense

Offensive percentile
99.3
Opponent defensive percentile
19.0
Matchup attack score
90.1

Offense: 1.526 PPA/successful play
Opponent defense: 1.374 PPA/successful play

Attack score = (offensive percentile + 100 − opponent defensive percentile) ÷ 2. The difference between the two scores determines the edge.

HavocUCLA5.3 pts

Disruption created on defense and avoided on offense. Lower offensive havoc allowed and higher defensive havoc created are better.

UCLA offense

Offensive percentile
66.8
Opponent defensive percentile
46.4
Matchup attack score
60.2

Offense: 13.2%
Opponent defense: 15.7%

Oregon offense

Offensive percentile
88.7
Opponent defensive percentile
78.8
Matchup attack score
54.9

Offense: 10.7%
Opponent defense: 18.5%

Attack score = (offensive percentile + 100 − opponent defensive percentile) ÷ 2. The difference between the two scores determines the edge.

Finishing drivesEven4.7 pts

Points scored or allowed per scoring opportunity. Measures how effectively teams turn opportunities into points or limit the damage.

UCLA offense

Offensive percentile
69.7
Opponent defensive percentile
52.2
Matchup attack score
58.8

Offense: 4.34 pts/opportunity
Opponent defense: 3.33 pts/opportunity

Oregon offense

Offensive percentile
94.9
Opponent defensive percentile
67.9
Matchup attack score
63.5

Offense: 5.03 pts/opportunity
Opponent defense: 3.00 pts/opportunity

Attack score = (offensive percentile + 100 − opponent defensive percentile) ÷ 2. The difference between the two scores determines the edge.

Bars point toward the team with the edge. Select a row to see why. These are statistical comparisons, not scoring margins or win probabilities.

How to read these charts

Statistics cover Weeks 1–5 of 2026, against all opponents. Percentiles compare 138 FBS teams; ties share ranks. Early-season profiles reflect a small sample.

Fingerprints: overall scores average offensive and defensive percentiles. Higher is better on both sides of the ball, including havoc avoidance on offense. Pace uses the offensive percentile only: higher means faster, not better. Missing values are shown as a dash and left unplotted.

Matchup edges: compare the two attack scores, each calculated as (offensive percentile + 100 − opponent defensive percentile) ÷ 2. Differences within 5 percentile points are labeled even. Pace does not contribute to the advantage map. These comparisons describe statistical strengths, not causal effects or win probabilities.

Source: CollegeFootballData advanced season statistics and team metadata; pace comes from local box scores. PPA stands for predicted points added. Advanced statistics exclude garbage time where supported. Pace includes all box-score plays.