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2026 college football / Week 6 matchup

BuffaloatToledo

Buffalo · 2–3Toledo · 4–1

Saturday, October 10 · 2:30 PM CT · ESPN+
Glass Bowl · Toledo, OH

Projected score (away / home)
15.1/33.8
Model line
Toledo −18.7
Market line
Toledo −20.5
Model pick
Buffalo +20.5

01 / Team identity

Offense + defense

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

Passing

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

Buffalo
Offense
0.063 PPA/play
Defense
0.251 PPA/play
Toledo
Offense
0.383 PPA/play
Defense
0.244 PPA/play

02 / Matchup advantages

0areas favor
Buffalo

0closely matched
5-point threshold

7areas favor
Toledo

EfficiencyToledo48.2 pts

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

Buffalo offense

Offensive percentile
13.9
Opponent defensive percentile
69.3
Matchup attack score
22.3

Offense: 0.009 PPA/play
Opponent defense: 0.013 PPA/play

Toledo offense

Offensive percentile
78.8
Opponent defensive percentile
38.0
Matchup attack score
70.4

Offense: 0.267 PPA/play
Opponent defense: 0.113 PPA/play

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

Success rateToledo34.3 pts

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

Buffalo offense

Offensive percentile
5.1
Opponent defensive percentile
82.5
Matchup attack score
11.3

Offense: 35.0%
Opponent defense: 35.1%

Toledo offense

Offensive percentile
56.9
Opponent defensive percentile
65.7
Matchup attack score
45.6

Offense: 44.5%
Opponent defense: 38.1%

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

PassingToledo27.7 pts

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

Buffalo offense

Offensive percentile
21.2
Opponent defensive percentile
32.8
Matchup attack score
44.2

Offense: 0.063 PPA/play
Opponent defense: 0.244 PPA/play

Toledo offense

Offensive percentile
75.9
Opponent defensive percentile
32.1
Matchup attack score
71.9

Offense: 0.383 PPA/play
Opponent defense: 0.251 PPA/play

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

RushingToledo26.3 pts

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

Buffalo offense

Offensive percentile
16.1
Opponent defensive percentile
75.9
Matchup attack score
20.1

Offense: -0.019 PPA/play
Opponent defense: -0.041 PPA/play

Toledo offense

Offensive percentile
57.7
Opponent defensive percentile
65.0
Matchup attack score
46.4

Offense: 0.150 PPA/play
Opponent defense: 0.013 PPA/play

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

ExplosivenessToledo22.6 pts

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

Buffalo offense

Offensive percentile
40.9
Opponent defensive percentile
16.8
Matchup attack score
62.0

Offense: 1.213 PPA/successful play
Opponent defense: 1.380 PPA/successful play

Toledo offense

Offensive percentile
95.6
Opponent defensive percentile
26.3
Matchup attack score
84.7

Offense: 1.465 PPA/successful play
Opponent defense: 1.332 PPA/successful play

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

HavocToledo16.6 pts

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

Buffalo offense

Offensive percentile
27.4
Opponent defensive percentile
30.3
Matchup attack score
48.5

Offense: 16.0%
Opponent defense: 14.0%

Toledo offense

Offensive percentile
69.3
Opponent defensive percentile
39.1
Matchup attack score
65.1

Offense: 13.1%
Opponent defense: 15.1%

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

Finishing drivesToledo27.0 pts

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

Buffalo offense

Offensive percentile
47.8
Opponent defensive percentile
72.3
Matchup attack score
37.8

Offense: 3.80 pts/opportunity
Opponent defense: 2.97 pts/opportunity

Toledo offense

Offensive percentile
68.2
Opponent defensive percentile
38.7
Matchup attack score
64.8

Offense: 4.33 pts/opportunity
Opponent defense: 3.61 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.