Texas Rangers at Boston Red Sox: Final Score & Recap
Line Score
| Team | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | R | H | E |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| TEX | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 4 | 6 | 0 |
| BOS | 1 | 0 | 0 | 0 | 5 | 0 | 0 | 3 | - | 9 | 12 | 0 |
The Story
The Boston Red Sox defeated the Texas Rangers 9-4 on August 13, 2024, at Fenway Park, a result that moved the DiamondIQ model's estimate of a Boston win from 61 percent before first pitch to a virtual certainty at 100 percent by the final out. The game was defined by two decisive half-innings. In the bottom of the fifth, Boston erupted for five runs against José Ureña, with Connor Wong's home run adding 11.1 percent to Boston's win probability and Rob Refsnyder's single contributing another 11.0 percent in what became the game's turning point. Texas answered with four runs in the top of the sixth against Cam Booser, with walks to Adolis García and Nathaniel Lowe generating swings of plus-11.7 and plus-11.2 percent respectively for the Rangers, but Lucas Sims halted the threat by striking out Wyatt Langford, a single at-bat that cost Texas 10.7 percent in win probability and effectively ended their rally.
On the individual side, the numbers told a clear story about who controlled the outcome. Sims was the most impactful performer in the game by any measure, posting plus-23.4 percent WPA out of the bullpen to preserve the Boston lead after the sixth-inning Texas surge. Kutter Crawford added plus-14.4 percent WPA of his own, and Bailey Horn contributed plus-8.8 percent as the Boston bullpen collectively held Texas to a four-run final tally on six hits with no errors. Among position players, Wong led all batters with plus-10.1 percent WPA and a RE24 of plus-2.8, while Lowe paced Texas at plus-10.5 percent WPA despite the losing effort, and Refsnyder rounded out Boston's standout contributors at plus-7.2 percent WPA. The Rangers finished with six hits and no errors but were unable to sustain any of their offensive momentum against a Boston pitching staff that the DiamondIQ model ultimately credited as the decisive factor in the outcome.