Central Michigan vs. Michigan: Final Score & Recap
Final score, recap & advanced stats


CMUTeam statsMICH
- Q4 9:00MICHJasper Parker 1 Yd Run (Dominic Zvada Kick)3–63
- Q4 14:01MICHBryson Kuzdzal 1 Yd Run (Dominic Zvada Kick)3–56
- Q3 3:12MICHBryce Underwood 18 Yd Run (Dominic Zvada Kick)3–49
- Q3 8:27MICHJordan Marshall 4 Yd Run (Dominic Zvada Kick)3–42
- Q2 0:09MICHJordan Marshall 1 Yd Run (Dominic Zvada Kick)3–35
- Q2 1:51CMUCade Graham 22 Yd Field Goal 3–28
- Q2 9:23MICHAndrew Marsh 23 Yd Run (Dominic Zvada Kick)0–28
- Q2 12:09MICHBryce Underwood 20 Yd Run (Dominic Zvada Kick)0–21
- Q1 7:21MICHSemaj Morgan 32 Yd pass from Bryce Underwood (Dominic Zvada Kick)0–14
- Q1 10:56MICHJustice Haynes 2 Yd Run (Dominic Zvada Kick)0–7
How the model called it
What the numbers say
- CMU played behind the sticks — third downs that long convert rarely, and MICH did not face the same ones. 3rd & 8.5 vs 3rd & 6.1
- PassJoe Labas 4/8, 36 YDS, 1 INT
- RushAngel Flores 9 CAR, 76 YDS
- RecJustin Ruffin Jr. 2 REC, 23 YDS
- PassBryce Underwood 16/25, 235 YDS, 1 TD, 1 INT
- RushBryce Underwood 9 CAR, 114 YDS, 2 TD
- RecSemaj Morgan 4 REC, 69 YDS, 1 TD
This exact spot, historically
empirical, no ratingsMICH up 46 entering the 4th quarter. Across 107 historically comparable game states (within ±2 pts and ±3 min, from 3,056 games):
FAQ
What was the final score of Central Michigan vs. Michigan?
Central Michigan 3, Michigan 63.
Did Gridpex's model pick hit?
Yes — the model's pick (MICH) was correct.
| CMU | MICH | |
|---|---|---|
| 139 | Total yards | 616 |
| 60 | Passing yards | 235 |
| 79 | Rushing yards | 381 |
| 8 | First downs | 35 |
| 6-15 | 3rd down | 8-11 |
| 0-2 | 4th down | 1-2 |
| 11/20 | Comp/Att | 16/25 |
| 3.0 | Yards per pass | 9.4 |
| 2.4 | Yards per rush | 6.9 |
| 2 | Turnovers | 1 |
| 1-6 | Penalties | 4-45 |
| 26:53 | Possession | 33:07 |
Costliest call
Q2 1:51 CMU field goal on 4th & 4 at MICH 4. The model preferred go for it, a gap of 0.34 points.
Drive chart
every possession, start to finish- Q4 9:00MICHJasper Parker 1 Yd Run (Dominic Zvada Kick)3–63
- Q4 14:01MICHBryson Kuzdzal 1 Yd Run (Dominic Zvada Kick)3–56
- Q3 3:12MICHBryce Underwood 18 Yd Run (Dominic Zvada Kick)3–49
- Q3 8:27MICHJordan Marshall 4 Yd Run (Dominic Zvada Kick)3–42
- Q2 0:09MICHJordan Marshall 1 Yd Run (Dominic Zvada Kick)3–35
- Q2 1:51CMUCade Graham 22 Yd Field Goal 3–28
- Q2 9:23MICHAndrew Marsh 23 Yd Run (Dominic Zvada Kick)0–28
- Q2 12:09MICHBryce Underwood 20 Yd Run (Dominic Zvada Kick)0–21
- Q1 7:21MICHSemaj Morgan 32 Yd pass from Bryce Underwood (Dominic Zvada Kick)0–14
- Q1 10:56MICHJustice Haynes 2 Yd Run (Dominic Zvada Kick)0–7
Model prediction
how the number is builtOur model simulates the game drive by drive from each side's opponent-adjusted efficiency (MICH Elo 1742, CMU Elo 1204 for reference), with home-field advantage. That projects MICH -23.9 (93% to win) — 3.6 points clear of CMU's market line of -27.5. 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 15 · through week 2 · drive simulation
Season form — 2025
nationally rankedThe matchup, in context
series history + adjusted profiles| CMU | MICH | |
|---|---|---|
| -6.9 (#87) | CORE overall | +17.4 (#22) |
| -4 / +3 | offense / defense | +11 / -6 |
| 1.94 | points / drive | 2.70 |
| 2.13 | allowed / drive | 1.97 |
| 31% | three-and-outs | 25% |
| -13 | pass over expected | -2 |
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 →
