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2026 college football / Week 6 matchup

TulsaatNavy

Tulsa · 3–2Navy · 1–3

Saturday, October 10 · 2:30 PM CT · CBSSN
Navy-Marine Corps Memorial Stadium · Annapolis, MD

Projected score (away / home)
25.1/26.4
Model line
Navy −1.2
Market line
Navy −2.5
Model pick
Tulsa +2.5

01 / Team identity

Offense + defense

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

Passing

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

Tulsa
Offense
0.038 PPA/play
Defense
0.202 PPA/play
Navy
Offense
-0.096 PPA/play
Defense
0.342 PPA/play

02 / Matchup advantages

5areas favor
Tulsa

1closely matched
5-point threshold

1area favors
Navy

EfficiencyTulsa9.5 pts

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

Tulsa offense

Offensive percentile
43.1
Opponent defensive percentile
47.4
Matchup attack score
47.8

Offense: 0.126 PPA/play
Opponent defense: 0.086 PPA/play

Navy offense

Offensive percentile
50.4
Opponent defensive percentile
73.7
Matchup attack score
38.3

Offense: 0.158 PPA/play
Opponent defense: -0.005 PPA/play

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

Success rateNavy28.5 pts

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

Tulsa offense

Offensive percentile
19.7
Opponent defensive percentile
67.9
Matchup attack score
25.9

Offense: 39.5%
Opponent defense: 37.6%

Navy offense

Offensive percentile
70.8
Opponent defensive percentile
62.0
Matchup attack score
54.4

Offense: 46.4%
Opponent defense: 38.9%

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

PassingTulsa17.9 pts

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

Tulsa offense

Offensive percentile
17.5
Opponent defensive percentile
17.5
Matchup attack score
50.0

Offense: 0.038 PPA/play
Opponent defense: 0.342 PPA/play

Navy offense

Offensive percentile
4.4
Opponent defensive percentile
40.1
Matchup attack score
32.1

Offense: -0.096 PPA/play
Opponent defense: 0.202 PPA/play

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

RushingTulsa6.6 pts

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

Tulsa offense

Offensive percentile
87.6
Opponent defensive percentile
72.3
Matchup attack score
57.7

Offense: 0.253 PPA/play
Opponent defense: -0.029 PPA/play

Navy offense

Offensive percentile
86.9
Opponent defensive percentile
84.7
Matchup attack score
51.1

Offense: 0.252 PPA/play
Opponent defense: -0.123 PPA/play

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

ExplosivenessTulsa23.7 pts

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

Tulsa offense

Offensive percentile
22.6
Opponent defensive percentile
18.2
Matchup attack score
52.2

Offense: 1.154 PPA/successful play
Opponent defense: 1.375 PPA/successful play

Navy offense

Offensive percentile
28.5
Opponent defensive percentile
71.5
Matchup attack score
28.5

Offense: 1.168 PPA/successful play
Opponent defense: 1.162 PPA/successful play

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

HavocTulsa11.1 pts

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

Tulsa offense

Offensive percentile
45.3
Opponent defensive percentile
19.7
Matchup attack score
62.8

Offense: 14.8%
Opponent defense: 13.0%

Navy offense

Offensive percentile
33.6
Opponent defensive percentile
30.3
Matchup attack score
51.6

Offense: 15.6%
Opponent defense: 14.0%

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.

Tulsa offense

Offensive percentile
39.4
Opponent defensive percentile
37.2
Matchup attack score
51.1

Offense: 3.69 pts/opportunity
Opponent defense: 3.65 pts/opportunity

Navy offense

Offensive percentile
67.2
Opponent defensive percentile
74.5
Matchup attack score
46.4

Offense: 4.30 pts/opportunity
Opponent defense: 2.94 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.