DSCFB Matchups
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2026 college football / Week 6 matchup

UConnatTemple

UConn · 2–3Temple · 2–3

Saturday, October 10 · 2:45 PM CT · ESPNU
Lincoln Financial Field · Philadelphia, PA

Projected score (away / home)
28.0/27.8
Model line
UConn −0.2
Market line
Temple −3.5
Model pick
UConn +3.5

01 / Team identity

Offense + defense

UConn and Temple: overall matchup fingerprintsScores run from 0 at the center to 100 at the outside. UConn is a solid green line with round markers; Temple 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 / 0–100CONNTEM

Passing

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

UConn
Offense
0.306 PPA/play
Defense
0.184 PPA/play
Temple
Offense
0.225 PPA/play
Defense
0.243 PPA/play

02 / Matchup advantages

6areas favor
UConn

1closely matched
5-point threshold

0areas favor
Temple

EfficiencyUConn11.3 pts

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

UConn offense

Offensive percentile
58.4
Opponent defensive percentile
21.9
Matchup attack score
68.2

Offense: 0.185 PPA/play
Opponent defense: 0.179 PPA/play

Temple offense

Offensive percentile
63.5
Opponent defensive percentile
49.6
Matchup attack score
56.9

Offense: 0.217 PPA/play
Opponent defense: 0.078 PPA/play

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

Success rateUConn9.1 pts

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

UConn offense

Offensive percentile
43.8
Opponent defensive percentile
24.1
Matchup attack score
59.9

Offense: 42.8%
Opponent defense: 44.5%

Temple offense

Offensive percentile
35.0
Opponent defensive percentile
33.6
Matchup attack score
50.7

Offense: 42.1%
Opponent defense: 42.6%

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

PassingUConn13.5 pts

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

UConn offense

Offensive percentile
62.8
Opponent defensive percentile
33.6
Matchup attack score
64.6

Offense: 0.306 PPA/play
Opponent defense: 0.243 PPA/play

Temple offense

Offensive percentile
46.0
Opponent defensive percentile
43.8
Matchup attack score
51.1

Offense: 0.225 PPA/play
Opponent defense: 0.184 PPA/play

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

RushingUConn10.6 pts

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

UConn offense

Offensive percentile
59.1
Opponent defensive percentile
24.1
Matchup attack score
67.5

Offense: 0.152 PPA/play
Opponent defense: 0.135 PPA/play

Temple offense

Offensive percentile
79.6
Opponent defensive percentile
65.7
Matchup attack score
56.9

Offense: 0.216 PPA/play
Opponent defense: 0.012 PPA/play

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

ExplosivenessEven1.1 pts

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

UConn offense

Offensive percentile
89.8
Opponent defensive percentile
59.1
Matchup attack score
65.3

Offense: 1.406 PPA/successful play
Opponent defense: 1.193 PPA/successful play

Temple offense

Offensive percentile
67.2
Opponent defensive percentile
38.7
Matchup attack score
64.2

Offense: 1.306 PPA/successful play
Opponent defense: 1.279 PPA/successful play

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

HavocUConn6.2 pts

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

UConn offense

Offensive percentile
57.3
Opponent defensive percentile
0.7
Matchup attack score
78.3

Offense: 13.9%
Opponent defense: 10.7%

Temple offense

Offensive percentile
93.1
Opponent defensive percentile
48.9
Matchup attack score
72.1

Offense: 9.8%
Opponent defense: 15.9%

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

Finishing drivesUConn32.5 pts

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

UConn offense

Offensive percentile
70.8
Opponent defensive percentile
51.1
Matchup attack score
59.9

Offense: 4.34 pts/opportunity
Opponent defense: 3.34 pts/opportunity

Temple offense

Offensive percentile
22.6
Opponent defensive percentile
67.9
Matchup attack score
27.4

Offense: 3.26 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.