SEA @ OAK MLB prediction: AI analysis & picks
Our picks for this match
Our Expert Analysis
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PROBABLE STARTERS
OUR PICKS
GAME CONTEXT
The Seattle Mariners (69-79) and Oakland Athletics (60-88) meet for their second game of the series after Oakland took the opener 6-5 yesterday. Both clubs carry losing records heading into the final stretch of the regular season.
KEY ABSENCES
GAME SCRIPT
Bryan Woo (xERA 3.55) steps to the mound with dominant momentum behind him: his last start on 2026-09-06 produced 8.0 IP, 0 ER, 1 H and 9 strikeouts on 102 pitches. With Oakland posting a K Rate vs SP of 0.256, Woo projects to control the first five innings cleanly. On the other side, Gage Jump (xERA 4.51) has been a short-outing arm of late — his last two starts lasted only 4.0 IP and 4.1 IP — though he faces a Seattle lineup that doesn't punish starters heavily (wOBA vs SP: 0.265). Once both teams hand it over to their bullpens, Oakland holds a decisive edge (14-day ERA: 2.57 vs. 5.61 for Seattle), significantly narrowing the window for a comfortable Seattle lead to hold. A park factor of 0.94 and mild weather (64°F, 10 mph wind) provide no tailwind for run scoring.
OUR ANALYSIS
The F5 Under (5.0) is anchored by Woo's expected dominance through the first half and Seattle's suppressed production against starters (wOBA vs SP: 0.265). Even if Jump allows hard contact, Seattle lacks the offensive ceiling to put up a big number in five innings. On the HOME +1.5 run line, the bullpen differential is the decisive factor: Oakland's relievers (2.57 ERA over 14 days) are built to protect slim leads or erase deficits, making a final margin larger than 1.5 runs in Seattle's favor an unlikely outcome.
DEVIL'S ADVOCATE
Jump could replicate his 2026-08-25 outing (6.1 IP, 2 ER) and eat enough innings to push the F5 total past 5.0 — particularly if Oakland's .319 wOBA vs SP shows up in the early frames. On the HOME +1.5, a Woo repeat of his 2026-09-06 gem means Seattle could build a 2+ run cushion before Oakland's bullpen ever gets the ball, putting the run line cover at risk regardless of reliever ERA. These are legitimate scenarios, but the model accepts them — Woo's recent form and the bullpen gap are the most structurally sound arguments in this matchup.
PROBWIN VERDICT
Woo's dominant recent form and Oakland's vastly superior bullpen unit underpin both picks tonight. Size your bets proportionally to the stated confidence levels: 53% on the F5 Under, 70% on the HOME +1.5.
Key Factors
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Head-to-Head
Form & Stats
| Date | Game | Score |
|---|---|---|
| 09/11 | @ OAK | 5-6 |
| 09/10 | vs TEX | 4-3 |
| 09/09 | vs TEX | 3-2 |
| 09/08 | vs TEX | 5-10 |
| 09/06 | vs OAK | 2-0 |
| Date | Game | Score |
|---|---|---|
| 09/11 | vs SEA | 6-5 |
| 09/09 | vs TOR | 2-0 |
| 09/08 | vs TOR | 2-4 |
| 09/07 | vs TOR | 6-5 |
| 09/06 | @ SEA | 0-2 |
| Pitcher | Starts | F5 vs Line | F5 Over% | F5 Signal | FT vs Line | FT Over% | FT Signal |
|---|---|---|---|---|---|---|---|
| Bryan Woo (AWAY) | 20 | 1.53 | 64.7% | OVER | 0.00 | 50.0% | - |
| Gage Jump (HOME) | 10 | -0.20 | 40.0% | - | 0.00 | 50.0% | - |
| Date | vs | IP | ER | H | BB | K | ERA |
|---|---|---|---|---|---|---|---|
| 09/18 | COL | 5.33 | 3 | 10 | 1 | 4 | 5.07 |
| 09/12 | OAK | 6.00 | 0 | 3 | 2 | 5 | 0.00 |
| 09/06 | OAK | 8.00 | 0 | 1 | 2 | 9 | 0.00 |
| 09/01 | BOS | 6.00 | 1 | 5 | 1 | 7 | 1.50 |
| 08/26 | PHI | 4.00 | 6 | 5 | 1 | 5 | 13.50 |
| Date | vs | IP | ER | H | BB | K | ERA |
|---|---|---|---|---|---|---|---|
| 09/12 | SEA | 2.00 | 5 | 5 | 1 | 2 | 22.50 |
| 09/06 | SEA | 4.00 | 2 | 6 | 0 | 7 | 4.50 |
| 08/31 | TEX | 4.33 | 7 | 6 | 3 | 2 | 14.55 |
| 08/25 | MIN | 6.33 | 2 | 3 | 2 | 9 | 2.84 |
| 08/20 | KCR | 4.00 | 5 | 8 | 3 | 3 | 11.25 |
Frequently asked questions
When was SEA @ OAK played?
This MLB game was played on 2026-09-12.
Where can I find the prediction for SEA @ OAK?
This ProbWin page shows the predictions our model published before the game (F5 and full-game totals, spreads), the key stats for both sides, and the settled result — every prediction is kept, win or lose, in our public track record.
How are these predictions calculated?
Our MLB statistical models are trained on league history and recomputed daily from team and player stats plus market odds. Every prediction is published before the game and its result is settled publicly.






