Milwaukee Brewers at New York Mets: Final Score & Recap
Line Score
| Team | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | R | H | E |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| MIL | 0 | 4 | 0 | 3 | 0 | 1 | 0 | 0 | 0 | 8 | 13 | 0 |
| NYM | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 9 | 0 |
The Story
The Milwaukee Brewers handed the New York Mets a lopsided 8-1 defeat at Citi Field on August 26, 2026, overwhelming a Mets squad that the DiamondIQ model had pegged at a 38 percent win probability before first pitch, a figure that collapsed to zero by the final out. Milwaukee did the bulk of its damage in two early innings, plating four runs in the second and three more in the fourth to put the game well out of reach before the Mets could mount any meaningful resistance. New York finished with nine hits but could convert almost none of that contact into scoring, managing only a single run in the fourth inning against a Brewers pitching staff that controlled the frame from start to finish.
The win-probability swings told the story of Milwaukee's dominance clearly. Robert Gasser was the single most impactful performer of the night by WPA, generating a plus-11.5 percent swing for the Brewers from the mound, and the biggest negative inflection for New York came in the bottom of the second when Marcus Semien flew out against Gasser, a play that shifted win probability 7.6 percent against the Mets at a moment when they needed a rally most. On the offensive side, Brice Turang's fourth-inning home run off Robert Stock delivered a 7.3 percent positive swing for Milwaukee, essentially salting the game away. Sal Frelick contributed as well with a second-inning single off Stock worth 4.6 percent, while Christian Yelich chipped in a groundout in that same frame that still added 4.2 percent in the context of the inning's flow.
Among Milwaukee's position players, Garrett Mitchell led all batters with a plus-6.9 percent WPA and a RE24 of plus-1.1, while Bo Bichette posted a plus-5.1 percent WPA and Yelich finished at plus-4.7 percent. Gasser's performance atop the pitching leaderboard was the defining factor in the outcome, and the DiamondIQ model's estimate reflected how thoroughly Milwaukee controlled this contest from the second inning onward.