Texas Rangers at Los Angeles Dodgers: Final Score & Recap
Line Score
| Team | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | R | H | E |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| TEX | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 7 | 0 |
| LAD | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 5 | 0 |
The Story
The Texas Rangers quieted a Dodger Stadium crowd on June 13, 2024, defeating the Los Angeles Dodgers 3-1 despite entering as significant underdogs. The DiamondIQ model's estimate had Los Angeles with a 65 percent pre-game win probability, yet the Rangers built all three of their runs in the first and third innings, leaving the Dodgers to chase the deficit the rest of the way. Andy Pages provided Los Angeles its lone run with a home run off Michael Lorenzen in the seventh, a swing that added 10.9 percent to the Dodgers' win probability, but it was not enough to spark a broader rally.
The decisive factor was Michael Lorenzen, who accumulated a staggering plus-40.9 percent win probability across his outing, anchoring the Rangers' pitching effort from the outset. A Gavin Lux groundout in the second inning against Lorenzen quietly cost the Dodgers 9.6 percent win probability, illustrating how the Rangers' staff repeatedly stranded any Dodger threat before it materialized. David Robertson then took over the late innings and delivered, striking out Shohei Ohtani in the eighth to swing win probability by minus-11.4 percent against Los Angeles, followed by a Freddie Freeman strikeout worth minus-9.7 percent, effectively sealing the outcome. Kirby Yates closed it in the ninth, retiring Will Smith on a strikeout that added a final 11.6 percent to Texas's chances as the model's estimate reached zero for the home side.
On the offensive side, Cavan Biggio was the Rangers' most impactful bat by win probability, contributing plus-11.2 percent alongside a positive 0.6 RE24, making him the team's most productive run-context performer at the plate. Jonah Heim added plus-7.3 percent win probability as well. The Dodgers finished with five hits but were unable to string together anything sustained against a Texas pitching staff that the DiamondIQ model would ultimately credit with completely erasing what had been a substantial pre-game home-field advantage.