Pittsburgh Pirates at San Francisco Giants: Final Score & Recap
Line Score
| Team | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | R | H | E |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| PIT | 0 | 0 | 0 | 0 | 2 | 2 | 6 | 0 | 3 | 13 | 20 | 0 |
| SF | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | 3 | 7 | 1 |
The Story
The Pittsburgh Pirates routed the San Francisco Giants 13-3 at Oracle Park on May 9, 2026, turning what the DiamondIQ model opened as a 38 percent home win probability into a complete Giants collapse, with San Francisco's chances falling to zero percent by the final out. Pittsburgh collected 20 hits against a Giants staff that struggled to contain the Pirates lineup through the middle and late innings, while the Giants managed just seven hits and committed one error.
The game's most consequential sequence began in the fifth inning, when Bryan Reynolds delivered a single off Ryan Borucki that added 7.2 percent win probability, helping Pittsburgh seize momentum before a Bryce Eldridge home run off Braxton Ashcraft swung win probability 12.4 percent toward the Giants in the bottom half — the single biggest individual play of the night. Pittsburgh answered emphatically in the sixth, when Joey Bart singled off Ryan Walker for an 11.5 percent win-probability swing, followed immediately by a Konnor Griffin single off Walker worth another 10.0 percent. Those back-to-back hits effectively ended San Francisco's realistic path to a comeback. Spencer Horwitz added a double off JT Brubaker in the seventh that contributed 6.8 percent win probability as Pittsburgh sent six runs across in that frame alone.
Bart finished as the game's top offensive performer by WPA at plus 11.5 percent with a RE24 of plus 2.8, while Horwitz accumulated plus 10.2 percent WPA across his contributions. Eldridge posted a minus 0.1 RE24 despite his home run, reflecting the limited run-environment impact of his solo shot. On the mound, Landen Roupp was the pitching standout, generating plus 17.6 percent WPA to pace all pitchers, with Braxton Ashcraft adding plus 9.8 percent in relief. The DiamondIQ model favored the Giants entering the game, but Pittsburgh's sustained offensive production across 20 hits made the final margin decisive.