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Read Article Orioles vs. Yankees Prediction: Yankees Predicted to Win Friday's MLB Matchup [6/20/2025]
Updated: | First published:
Written by Jason Bevilacqua, Head of Content and Communities
Our expert prediction for Friday's Baltimore Orioles vs New York Yankees matchup.
MLB action continues on Friday at 7:05PM ET as the Baltimore Orioles take on the New York Yankees at Yankee Stadium.
The Yankees will have Max Fried (9-2, 1.90 ERA) as their starting pitcher, while the Orioles will counter with Tomoyuki Sugano (5-4, 3.38 ERA).
Based on the latest simulations, Dimers' proven MLB model (see Dimers Pro for full access) projects the Yankees as the most likely winner of today's game.
"Employing the latest data, our experts simulated Friday's Orioles-Yankees game 10,000 times," said Dimers' Chief Content Officer, Nick Slade.
"After computing the latest updates and thousands of other inputs, we predict the Yankees' chance of winning is 71%, while the Orioles' is 29%."
For further insights into Friday's matchup, including best bets and picks, visit our interactive Orioles vs. Yankees predictions page.
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Using trusted machine learning and data analysis, we have simulated the outcome of Friday's MLB game between the Orioles and Yankees 10,000 times as part of our MLB predictions coverage.
Our independent predictive model gives the Yankees a 71% chance of beating the Orioles.
According to our model, the Yankees (-1.5) have a 55% chance of covering the run line, while the 9-run over/under has a 54% chance of staying under.
Pre-Game Probabilities
Last Updated: 11:32PM, Jun 20
Moneyline
Over / Under
Run Line
Tomoyuki Sugano 5-4, 3.38 ERA
Max Fried 9-2, 1.90 ERA
Get the best bets with Dimers Pro
Orioles vs. Yankees Odds [6/20/2025]
We have sourced the best MLB odds in America for this game, which are listed here:
| Bet Type | Orioles | Yankees |
|---|---|---|
| Run Line | +1.5 (+132) | -1.5 (-156) |
| Moneyline | +265 | -325 |
| Total | o9 (-102) | u9 (-110) |
All odds are correct at the time of publication and are subject to change.
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Orioles vs. Yankees Picks and Best Bets
Our model's strongest edge in today's Orioles vs. Yankees matchup is on the over/under.
Our expert predictions, aligned with the current odds, reveal the best MLB picks and MLB best bets for every game throughout the season.
Unlimited access to our complete suite of picks, including this one, is available via Dimers Pro.
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Calling Our Shot produces daily MLB betting content, including the latest best bets featured below.
Orioles vs. Yankees Game-Day Updates and Essential Details
Friday's MLB matchup between the Yankees and Orioles at Yankee Stadium is scheduled to commence at 7:05PM ET.
- Who: Baltimore Orioles vs. New York Yankees
- Date: Friday, June 20, 2025
- Time: 7:05PM ET/4:05PM PT
- Venue: Yankee Stadium
Dimers.com's in-depth preview of Friday's Orioles vs. Yankees matchup includes our prediction, picks and the latest betting odds.
Before making any Orioles vs. Yankees picks, be sure to check out the latest MLB predictions and betting advice from Dimers Pro.
Key MLB Betting Guides and Insights
- Explore how MLB odds work and dive into MLB live betting strategies
- Understand where sports odds come from and how they're applied to baseball matchups
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Conclusion
We predict the Yankees, with a 71% win probability, will likely beat the Orioles on Friday.
AI and automation have enhanced this article to quickly deliver accurate Orioles vs. Yankees 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.
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More on MLB
Keep up 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.
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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