Kennesaw State vs. Western Michigan: Final Score & Recap
Final score, recap & advanced stats
KENNTeam statsWMU
- Q3 4:10KENNJavon Rogers 82 Yd pass from Amari Odom (Britton Williams PAT failed)6–41
- Q3 13:26WMUJoey Pope 75 Yd Interception Return (Palmer Domschke Kick)0–41
- Q2 7:45WMUDevin Miles 2 Yd Run (Palmer Domschke Kick)0–34
- Q1 2:38WMUBlake Bosma 3 Yd pass from Broc Lowry (Palmer Domschke PAT failed)0–27
- Q1 7:39WMUMareyohn Hrabowski 4 Yd pass from Broc Lowry (Palmer Domschke Kick)0–21
- Q1 13:44WMUKershawn Fisher 47 Yd Fumble Return (Palmer Domschke Kick)0–14
- Q1 14:42WMUJalen Buckley 65 Yd Run (Palmer Domschke Kick)0–7
How the model called it
- PassAmari Odom 18/35, 209 YDS, 1 TD, 2 INT
- RushChase Belcher 16 CAR, 148 YDS
- RecJavon Rogers 3 REC, 111 YDS, 1 TD
- PassBroc Lowry 12/19, 120 YDS, 2 TD, 1 INT
- RushJalen Buckley 8 CAR, 174 YDS, 1 TD
- RecBlake Bosma 5 REC, 44 YDS, 1 TD
FAQ
What was the final score of Kennesaw State vs. Western Michigan?
Kennesaw State 6, Western Michigan 41.
Did Gridpex's model pick hit?
Yes — the model's pick (WMU) was correct.
| KENN | WMU | |
|---|---|---|
| 378 | Total yards | 423 |
| 209 | Passing yards | 120 |
| 169 | Rushing yards | 303 |
| 18 | First downs | 18 |
| 4-14 | 3rd down | 5-13 |
| 0-0 | 4th down | 1-1 |
| 18/36 | Comp/Att | 12/19 |
| 5.8 | Yards per pass | 6.3 |
| 5.0 | Yards per rush | 7.0 |
| 4 | Turnovers | 2 |
| 8-75 | Penalties | 7-75 |
| 25:44 | Possession | 34:16 |
- Q3 4:10KENNJavon Rogers 82 Yd pass from Amari Odom (Britton Williams PAT failed)6–41
- Q3 13:26WMUJoey Pope 75 Yd Interception Return (Palmer Domschke Kick)0–41
- Q2 7:45WMUDevin Miles 2 Yd Run (Palmer Domschke Kick)0–34
- Q1 2:38WMUBlake Bosma 3 Yd pass from Broc Lowry (Palmer Domschke PAT failed)0–27
- Q1 7:39WMUMareyohn Hrabowski 4 Yd pass from Broc Lowry (Palmer Domschke Kick)0–21
- Q1 13:44WMUKershawn Fisher 47 Yd Fumble Return (Palmer Domschke Kick)0–14
- Q1 14:42WMUJalen Buckley 65 Yd Run (Palmer Domschke Kick)0–7
Model prediction
how the number is builtOur model simulates the game drive by drive from each side's opponent-adjusted efficiency (WMU Elo 1442, KENN Elo 1414 for reference), on a neutral field. That projects WMU -1.1 (54% to win) — 2.4 points clear of KENN's market line of -3.5. That is a disagreement, not a betting edge — sides we favour have not covered at better than breakeven.
Why that percentage is worth reading: across 604 graded in-season games, the calls this model put near 58% came in at 58.2%. The full calibration table is published, bin by bin. Early in the season the cold-start path runs instead and calibrates less well (Brier 0.2028 against 0.1889).
Model as of Sep 1 · through week 1 · drive simulation
Season form — 2025
nationally rankedThe matchup, in context
series history + adjusted profiles| KENN | WMU | |
|---|---|---|
| -3.9 (#76) | CORE overall | +1.8 (#62) |
| +2 / +6 | offense / defense | -5 / -7 |
| 2.14 | points / drive | 2.04 |
| 2.02 | allowed / drive | 1.60 |
| 28% | three-and-outs | 24% |
| -2 | pass over expected | -13 |
Bold is the side ahead. CORE strips the situation from every play and solves the schedule out across the league, so these compare two teams that never met.
Key matchups
The analyst read: each team's offense splits crossed against the opponent's defense, with the edges called out.
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Where this number comes from. Every projection on this page is produced by the same model, run before kickoff on opponent-adjusted efficiency, power ratings and situational data — walk-forward validated on eleven seasons and never adjusted after the fact. How the model works →