MLB Recap · September 23, 2026

Minnesota Twins at San Francisco Giants: Final Score & Recap

MIN4
Final
SF2

Line Score

Team123456789RHE
MIN001010200490
SF000200000251

The Story

The Minnesota Twins defeated the San Francisco Giants 4-2 at Oracle Park on September 23, 2026, handing San Francisco a loss at home despite the DiamondIQ model's estimate giving the Giants a near-even 48% pre-game win probability. The Twins built their margin methodically, scoring in the third, fifth, and seventh innings while holding the Giants to a pair of runs in the fourth. Minnesota committed no errors and held San Francisco to five hits, while the Giants' one error contributed to the clean execution gap between the two clubs.

The game's most consequential sequence came in the bottom of the fourth, when the Giants generated their only real momentum. Andrew Knizner's double off Connor Prielipp shifted win probability by 9.8 percentage points in San Francisco's favor, and Shay Whitcomb followed with a single that represented the single largest swing of the night, a 16.2-point gain for the Giants that brought them within striking distance at 2-1. Whitcomb finished as the game's top batter by WPA at plus-24.7 percent, with an RE24 of plus-1.0. However, the Twins answered decisively in the seventh. Walker Jenkins singled off Dylan Smith for a 13.0-point swing, and Josh Bell added a single off Sam Hentges worth 10.8 points, the two hits pushing Minnesota's lead to 4-2 and effectively closing out the Giants' path to a comeback. Luke Keaschall's third-inning home run off Cesar Perdomo, a 10.9-point swing, had set the tone early for the visitors.

On the pitching side, A.J. Minter led all pitchers with a WPA of plus-13.3 percent, followed closely by Yoendrys Gómez at plus-12.6 percent, a pair of performances that anchored the Twins' bullpen and prevented any San Francisco rally from gaining traction. Braxton Roxby contributed an additional plus-4.3 percentage points. The DiamondIQ model's estimate closed at 0% for the Giants, a reflection of how completely Minnesota controlled the game's final stages despite San Francisco holding home-field advantage and entering the night as a virtual coin-flip opponent.

Analysis generated by DiamondIQ's model.

Win Probability

755025MIN bats firstFinalSF win %MIN win %
DiamondIQ model home win probability across the game (pre-game 47.6% → final 0%).

Biggest Plays by Win-Probability Added

Shay Whitcomb — Single
Bot 4th · off Connor Prielipp
+16.2%
Walker Jenkins — Single
Top 7th · off Dylan Smith
+13.0%
Luke Keaschall — Home Run
Top 3rd · off Cesar Perdomo
+10.9%
Josh Bell — Single
Top 7th · off Sam Hentges
+10.8%
Andrew Knizner — Double
Bot 4th · off Connor Prielipp
+9.8%

Top Batters by WPA

Shay Whitcomb+24.7%+1.0 RE24
Walker Jenkins+12.3%+0.6 RE24
Luke Keaschall+8.9%+0.6 RE24

Top Pitchers by WPA

Full box score, pitch data, and the play-by-play timeline
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