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Rangers vs. Orioles Prediction: Texas Predicted to Win Wednesday's MLB Matchup [6/25/2025]

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Written by Jason Bevilacqua

Our expert prediction for Wednesday's Texas Rangers vs Baltimore Orioles matchup.

Texas Rangers-Baltimore Orioles Predictions and Game Preview.
Oriole Park at Camden Yards sets the stage for the MLB matchup between the Texas Rangers and Baltimore Orioles this Wednesday.

The Baltimore Orioles will square off with the Texas Rangers in MLB action at Oriole Park at Camden Yards on Wednesday, commencing at 6:35PM ET.

The Orioles will have Brandon Young (0-1, 6.23 ERA) as their starting pitcher, while the Rangers have opted for Jacob deGrom (7-2, 2.24 ERA).

Based on updated simulation results, Dimers' proven MLB model (see Dimers Pro for full access) projects the Rangers as the most likely winner of today's game.

"Our team has simulated the outcome of Wednesday's Rangers-Orioles game 10,000 times," said Dimers' Chief Content Officer, Nick Slade.

"With the latest updates and numerous other variables, we estimate the Rangers' chance of winning at 55%, with the Orioles at 45%."

For further insights into Wednesday's matchup, including best bets and picks, visit our interactive Rangers vs. Orioles predictions page.

Orioles vs. Rangers Prediction: Who Will Win, Cover the Run Line?

Using powerful machine learning and data analysis, we have simulated the outcome of Wednesday's MLB matchup between the Rangers and Orioles 10,000 times as part of our MLB predictions coverage.

Our famous predictive model gives the Rangers a 55% chance of defeating the Orioles.

According to our model, the Orioles (+1.5) have a 57% chance of covering the run line, while the over/under total of 8 runs has a 53% chance of going over.

 

Rangers vs. Orioles Odds [6/25/2025]

We have researched the best MLB odds in America for this game, which are listed here:

Bet Type Rangers Orioles
Run Line -1.5 (+115) +1.5 (-128)
Moneyline -150 +132
Total o8 (-115) u8 (-103)

All odds are correct at the time of publication and are subject to change.

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Rangers vs. Orioles Picks and Best Bets

Our model's biggest edge in today's Rangers vs. Orioles matchup is on the moneyline.

Our expert predictions, matched against the best odds, reveal the best MLB picks and MLB best bets for every game throughout the season.

Unlimited access to our full set of picks, including this one, is available via Dimers Pro.

Calling Our Shot's Best Bets Today

Calling Our Shot produces daily MLB betting content, including the predictions featured below.

Rangers vs. Orioles Game-Day Updates and Essential Details

Wednesday's MLB game between the Orioles and Rangers at Oriole Park at Camden Yards is scheduled to commence at 6:35PM ET.

Dimers.com's comprehensive preview of Wednesday's Rangers vs. Orioles matchup includes our prediction, picks and the latest betting odds.

Before making any Rangers vs. Orioles picks, be sure to check out the latest MLB predictions and betting advice from Dimers Pro.

Key MLB Betting Guides and Insights

Conclusion

We predict the Rangers, with a 55% win probability, will likely beat the Orioles on Wednesday.

AI and automation have enhanced this article to quickly deliver accurate Rangers vs. Orioles insights, with human oversight ensuring high editorial quality. Our predictions are based on the latest data to help you make informed decisions. For additional resources and advice on responsible gambling, please call 1-800-GAMBLER.

Note: Clicking links to our partners may earn us a referral fee. Learn about how we review products and services.

More on MLB

Stay up-to-date with the latest MLB betting news and MLB parlay picks throughout the season. Plus, our World Series odds provide the most up-to-date probabilities for the World Series, American League, National League and each division.

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Written by
Jason Bevilacqua
Head of Content and Communities

Jason Bevilacqua, an expert in MLB, NHL, NBA, MLS, and NFL, delivers game previews, best bets, and props. Since 2020, as Head of Social and Community at Dimers, he has contributed insightful articles utilizing data-driven models and simulations.

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