Los Angeles Dodgers at Athletics: Final Score & Recap
Line Score
| Team | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | R | H | E |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| LAD | 0 | 2 | 0 | 3 | 0 | 3 | 0 | 1 | 0 | 9 | 17 | 0 |
| ATH | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | 11 | 0 |
The Story
The Los Angeles Dodgers defeated the Athletics 9-4 at Sutter Health Park on June 29, 2026, handing Oakland a loss the DiamondIQ model's estimate had anticipated from early on, with the pre-game home win probability sitting at just 36% and ultimately falling to 0%. Los Angeles did its damage in concentrated bursts, scoring all nine of its runs across the second, fourth, sixth, and eighth innings while holding the Athletics off the board until a consolation run in the bottom of the ninth.
The decisive turning point came in the top of the fourth, when Andy Pages and Max Muncy each went deep off Gage Jump in what proved to be a back-breaking sequence. Pages' home run shifted win probability by plus 20.4 percentage points, the single largest swing of the game, while Muncy's blast added another plus 11.3 points, compounding the damage and effectively removing Oakland from meaningful contention before the game reached the midpoint. Shohei Ohtani added to the separation in the top of the sixth with a home run off Matt Krook that moved the needle another plus 13.8 points. The Athletics' most significant positive moment came in the bottom of the second, when Joshua Kuroda-Grauer singled off Eric Lauer for a plus 9.9 point swing, though Oakland could not sustain the threat. A Mookie Betts double play in the third had briefly stalled a Dodger rally, costing Los Angeles 8.4 points of win probability off Jump's hand.
Pages finished as the game's top performer by WPA at plus 20.0%, accompanied by a plus 1.3 RE24, while Muncy posted plus 12.6% WPA and plus 1.0 RE24. Miguel Rojas also contributed meaningfully with plus 9.8% WPA and plus 1.0 RE24. On the mound, Kyle Hurt led Dodger pitchers with plus 1.7% WPA. Los Angeles finished with 17 hits against zero errors, while Oakland managed 11 hits of its own but could not convert them into the kind of sustained pressure the DiamondIQ model would have required to flip the outcome.