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2026 college football / Week 6 matchup

Missouri StateatWestern Kentucky

Missouri State · 1–3Western Kentucky · 1–4

Thursday, October 8 · 6:00 PM CT · CBSSN
Houchens Industries-L.T. Smith Stadium · Bowling Green, KY

Projected score (away / home)
26.8/27.8
Model line
Western Kentucky −1.0
Market line
Western Kentucky −2.5
Model pick
Missouri State +2.5

01 / Team identity

Offense + defense

Missouri State and Western Kentucky: overall matchup fingerprintsScores run from 0 at the center to 100 at the outside. Missouri State is a solid green line with round markers; Western Kentucky 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 / 0–100MOSTWKU

Passing

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

Missouri State
Offense
0.200 PPA/play
Defense
0.406 PPA/play
Western Kentucky
Offense
0.014 PPA/play
Defense
0.260 PPA/play

02 / Matchup advantages

6areas favor
Missouri State

1closely matched
5-point threshold

0areas favor
Western Kentucky

EfficiencyMissouri State20.8 pts

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

Missouri State offense

Offensive percentile
39.4
Opponent defensive percentile
4.4
Matchup attack score
67.5

Offense: 0.115 PPA/play
Opponent defense: 0.282 PPA/play

Western Kentucky offense

Offensive percentile
5.1
Opponent defensive percentile
11.7
Matchup attack score
46.7

Offense: -0.083 PPA/play
Opponent defense: 0.221 PPA/play

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

Success rateEven0.7 pts

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

Missouri State offense

Offensive percentile
27.0
Opponent defensive percentile
20.4
Matchup attack score
53.3

Offense: 40.7%
Opponent defense: 44.7%

Western Kentucky offense

Offensive percentile
7.3
Opponent defensive percentile
2.2
Matchup attack score
52.6

Offense: 36.4%
Opponent defense: 50.4%

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

PassingMissouri State7.3 pts

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

Missouri State offense

Offensive percentile
43.1
Opponent defensive percentile
28.5
Matchup attack score
57.3

Offense: 0.200 PPA/play
Opponent defense: 0.260 PPA/play

Western Kentucky offense

Offensive percentile
11.7
Opponent defensive percentile
11.7
Matchup attack score
50.0

Offense: 0.014 PPA/play
Opponent defense: 0.406 PPA/play

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

RushingMissouri State39.1 pts

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

Missouri State offense

Offensive percentile
35.0
Opponent defensive percentile
2.2
Matchup attack score
66.4

Offense: 0.070 PPA/play
Opponent defense: 0.300 PPA/play

Western Kentucky offense

Offensive percentile
2.2
Opponent defensive percentile
47.4
Matchup attack score
27.4

Offense: -0.174 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.

ExplosivenessMissouri State39.8 pts

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

Missouri State offense

Offensive percentile
35.8
Opponent defensive percentile
1.5
Matchup attack score
67.2

Offense: 1.199 PPA/successful play
Opponent defense: 1.566 PPA/successful play

Western Kentucky offense

Offensive percentile
47.4
Opponent defensive percentile
92.7
Matchup attack score
27.4

Offense: 1.243 PPA/successful play
Opponent defense: 1.064 PPA/successful play

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

HavocMissouri State6.2 pts

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

Missouri State offense

Offensive percentile
21.9
Opponent defensive percentile
17.9
Matchup attack score
52.0

Offense: 16.6%
Opponent defense: 12.9%

Western Kentucky offense

Offensive percentile
29.6
Opponent defensive percentile
38.0
Matchup attack score
45.8

Offense: 15.8%
Opponent defense: 14.9%

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

Finishing drivesMissouri State29.4 pts

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

Missouri State offense

Offensive percentile
72.3
Opponent defensive percentile
4.4
Matchup attack score
83.9

Offense: 4.37 pts/opportunity
Opponent defense: 4.59 pts/opportunity

Western Kentucky offense

Offensive percentile
30.3
Opponent defensive percentile
21.2
Matchup attack score
54.6

Offense: 3.43 pts/opportunity
Opponent defense: 3.97 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.