San Francisco Giants at Milwaukee Brewers: Final Score & Recap
Line Score
| Team | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | R | H | E |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| SF | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 3 | 6 | 0 |
| MIL | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 5 | 1 |
The Story
The San Francisco Giants handed the Milwaukee Brewers a 3-1 defeat at American Family Field on May 27, 2023, overcoming a pre-game DiamondIQ model estimate that gave Milwaukee a 54 percent chance of winning at home. San Francisco struck first with a run in the top of the first inning, but the game remained tightly contested until the decisive moments arrived late. Milwaukee briefly drew level with a Victor Caratini single off Logan Webb in the bottom of the seventh, a play that added 11.4 percent to the Brewers' win probability and represented their best offensive moment of the night.
The game turned decisively in the top of the eighth when Mitch Haniger connected for a home run off Peter Strzelecki, a swing that added 36.5 percent to San Francisco's win probability in a single moment and effectively transferred control of the contest. Haniger finished as the game's most impactful batter by a wide margin, posting a WPA of plus-37.7 percent and an RE24 of plus-2.1. Milwaukee mounted a final push in the bottom of the ninth against Camilo Doval, with Brian Anderson's double adding 10.9 percent to the Brewers' win probability and a Brice Turang groundout briefly sustaining hope at plus-11.1 percent, but Tyrone Taylor's strikeout, which swung win probability minus-8.5 percent against Milwaukee, ended the rally.
On the pitching side, Logan Webb led all pitchers with a WPA of plus-29.4 percent despite surrendering the Caratini single, while Corbin Burnes contributed plus-25.8 percent for Milwaukee in a losing effort. Tyler Rogers added plus-13.3 percent in relief for San Francisco, helping to preserve the two-run margin. The Giants finished with six hits and committed no errors, while Milwaukee's one error on the night proved part of a broader inability to generate consistent offense against a San Francisco staff that the DiamondIQ model ultimately assessed as a certain winner by game's end.