Ohio State vs. Washington: Final Score & Recap
Final score, recap & advanced stats
OSUTeam statsWASH
- Q4 4:56OSUCJ Donaldson 4 Yd pass from Julian Sayin (Jayden Fielding Kick)24–6
- Q4 13:19OSUJayden Fielding 34 Yd Field Goal 17–6
- Q3 3:49WASHGrady Gross 28 Yd Field Goal 14–6
- Q3 7:19OSUCJ Donaldson 1 Yd Run (Jayden Fielding Kick)14–3
- Q2 1:08OSUJeremiah Smith 18 Yd pass from Julian Sayin (Jayden Fielding Kick)7–3
- Q2 14:05WASHGrady Gross 28 Yd Field Goal 0–3
How the model called it
- PassJulian Sayin 22/28, 208 YDS, 2 TD
- RushBo Jackson 17 CAR, 80 YDS
- RecJeremiah Smith 8 REC, 81 YDS, 1 TD
- PassDemond Williams Jr. 18/22, 173 YDS
- RushJonah Coleman 13 CAR, 70 YDS
- RecDezmen Roebuck 4 REC, 58 YDS
This exact spot, historically
empirical, no ratingsOSU up 8 entering the 4th quarter. Across 1,588 historically comparable game states (within ±2 pts and ±3 min, from 3,056 games):
FAQ
What was the final score of Ohio State vs. Washington?
Ohio State 24, Washington 6.
Did Gridpex's model pick hit?
Yes — the model's pick (OSU) was correct.
| OSU | WASH | |
|---|---|---|
| 357 | Total yards | 234 |
| 208 | Passing yards | 173 |
| 149 | Rushing yards | 61 |
| 23 | First downs | 15 |
| 6-10 | 3rd down | 1-11 |
| 1-2 | 4th down | 1-3 |
| 22/28 | Comp/Att | 18/23 |
| 7.4 | Yards per pass | 7.5 |
| 4.4 | Yards per rush | 2.0 |
| 1 | Turnovers | 0 |
| 5-60 | Penalties | 6-49 |
| 31:55 | Possession | 28:05 |
Costliest call
Q2 4:39 WASH go for it on 4th & 14 at OSU 27. The model preferred field goal, a gap of 0.94 points.
Drive chart
every possession, start to finish- Q4 4:56OSUCJ Donaldson 4 Yd pass from Julian Sayin (Jayden Fielding Kick)24–6
- Q4 13:19OSUJayden Fielding 34 Yd Field Goal 17–6
- Q3 3:49WASHGrady Gross 28 Yd Field Goal 14–6
- Q3 7:19OSUCJ Donaldson 1 Yd Run (Jayden Fielding Kick)14–3
- Q2 1:08OSUJeremiah Smith 18 Yd pass from Julian Sayin (Jayden Fielding Kick)7–3
- Q2 14:05WASHGrady Gross 28 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 (WASH Elo 1676, OSU Elo 2010 for reference), with home-field advantage. That projects WASH +11 (24% 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 15 · through week 2 · drive simulation
Season form — 2025
nationally rankedThe matchup, in context
series history + adjusted profilesOhio State leads 10–3 · Ohio State has won 5 straight · 23% have been one-possession games
| OSU | WASH | |
|---|---|---|
| +39.2 (#1) | CORE overall | +21.7 (#11) |
| +14 / -26 | offense / defense | +13 / -9 |
| 3.43 | points / drive | 3.06 |
| 1.15 | allowed / drive | 1.93 |
| 13% | three-and-outs | 19% |
| +7 | 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 →