Ohio vs. San Diego State: Final Score & Recap
Final score, recap & advanced stats
OHIOTeam statsSDSU
- Q4 1:59OHIOMiles Cross 3 Yd pass from CJ Harris (Gianni Spetic Kick)13–20
- Q4 5:39SDSUMark Redman 4 Yd pass from Jalen Mayden (Jack Browning Kick)6–20
- Q4 13:32SDSUJack Browning 21 Yd Field Goal 6–13
- Q2 0:00SDSUMark Redman 13 Yd pass from Jalen Mayden (Jack Browning Kick)6–10
- Q2 4:44OHIOGianni Spetic 40 Yd Field Goal 6–3
- Q1 4:22OHIOGianni Spetic 19 Yd Field Goal 3–3
- Q1 10:53SDSUJack Browning 49 Yd Field Goal 0–3
How the model called it
- PassCJ Harris 18/41, 204 YDS, 1 TD, 3 INT
- RushSieh Bangura 15 CAR, 65 YDS
- RecSam Wiglusz 10 REC, 103 YDS
- PassJalen Mayden 18/28, 164 YDS, 2 TD
- RushJaylon Armstead 8 CAR, 78 YDS
- RecMark Redman 5 REC, 62 YDS, 2 TD
FAQ
What was the final score of Ohio vs. San Diego State?
Ohio 13, San Diego State 20.
Did Gridpex's model pick hit?
Yes — the model's pick (SDSU) was correct.
| OHIO | SDSU | |
|---|---|---|
| 390 | Total yards | 318 |
| 279 | Passing yards | 164 |
| 111 | Rushing yards | 154 |
| 25 | First downs | 16 |
| 7-17 | 3rd down | 3-12 |
| 2-2 | 4th down | 1-2 |
| 26/51 | Comp/Att | 18/28 |
| 5.5 | Yards per pass | 5.9 |
| 3.6 | Yards per rush | 5.0 |
| 3 | Turnovers | 1 |
| 6-55 | Penalties | 6-57 |
| 32:36 | Possession | 27:24 |
Drive chart
every possession, start to finish- Q4 1:59OHIOMiles Cross 3 Yd pass from CJ Harris (Gianni Spetic Kick)13–20
- Q4 5:39SDSUMark Redman 4 Yd pass from Jalen Mayden (Jack Browning Kick)6–20
- Q4 13:32SDSUJack Browning 21 Yd Field Goal 6–13
- Q2 0:00SDSUMark Redman 13 Yd pass from Jalen Mayden (Jack Browning Kick)6–10
- Q2 4:44OHIOGianni Spetic 40 Yd Field Goal 6–3
- Q1 4:22OHIOGianni Spetic 19 Yd Field Goal 3–3
- Q1 10:53SDSUJack Browning 49 Yd Field Goal 0–3
Model prediction
how the number is builtOur model simulates the game drive by drive from each side's opponent-adjusted efficiency (SDSU Elo 1488, OHIO Elo 1482 for reference), with home-field advantage. That projects SDSU -2.6 (58% to win), essentially in line with the market.
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 — 2023
nationally rankedThe matchup, in context
series history + adjusted profiles| OHIO | SDSU | |
|---|---|---|
| +1.0 (#57) | CORE overall | -14.2 (#106) |
| -5 / -6 | offense / defense | -4 / +10 |
| 2.10 | points / drive | 1.57 |
| 1.43 | allowed / drive | 2.22 |
| 25% | three-and-outs | 25% |
| +2 | pass over expected | -4 |
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.
Create a free account →You get Pro free for 6 months. No card required.
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 →