Athletics at San Francisco Giants: Final Score & Recap
Line Score
| Team | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | R | H | E |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| ATH | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 1 | 4 | 9 | 15 | 0 |
| SF | 0 | 0 | 0 | 1 | 0 | 5 | 0 | 0 | 0 | 6 | 5 | 0 |
The Story
The Athletics rallied past the San Francisco Giants 9-6 at Oracle Park on June 25, 2026, in a game that swung dramatically in the late innings. Oakland entered the ninth trailing and delivered four runs to seal the outcome, a finish the DiamondIQ model's estimate reflected with a complete collapse in San Francisco's win probability from a competitive position down to zero. The Giants had held real momentum through six innings, but the Athletics chipped away and then broke the game open at the end, finishing with 15 hits against a San Francisco staff that ran out of answers.
The pivotal sequences came in the sixth and the ninth. Jung Hoo Lee's triple off Matt Krook in the bottom of the sixth was the single biggest positive swing for San Francisco, adding 33.1 percentage points to the Giants' win probability, and Victor Bericoto followed with a home run off Justin Sterner that added another 14.9 points, giving the Giants the lead and apparent control of the contest. Lee finished as the game's top batter by WPA at plus-38.7 percent with a plus-2.0 RE24, and Jeff McNeil contributed plus-21.5 percent WPA with a plus-1.6 RE24. However, Oakland unraveled the Giants' advantage in the top of the ninth against Caleb Kilian. Lawrence Butler singled for a swing of plus-34.0 percentage points, Jonah Heim followed immediately with a single worth plus-33.4 points, and Max Muncy added another single at plus-15.1 points, collectively dismantling what remained of San Francisco's probability. Butler finished second in WPA among all batters at plus-36.7 percent.
On the pitching side, Jeffrey Springs led all pitchers with plus-6.1 percent WPA for Oakland, followed by Landen Roupp at plus-4.3 percent. The Athletics entered the game with the DiamondIQ model's estimate setting the Giants' pre-game home win probability at 47 percent, a near coin-flip that ultimately resolved entirely in Oakland's favor.