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Read Article Royals vs. Orioles Prediction: Baltimore Predicted to Win After New Data Released for Game 1 of 2024 Wild Card Series
Updated: | First published:
Written by Jason Bevilacqua, Head of Content and Communities
The Baltimore Orioles will square off with the Kansas City Royals in Game 1 of their Wild Card Series at Oriole Park at Camden Yards on Tuesday, beginning at 4:08PM ET.
Corbin Burnes (0-0, 0.00 ERA) will start for the Orioles, while the Royals will counter with Cole Ragans (0-0, 0.00 ERA).
Based on the latest simulations, Dimers' advanced MLB model (see Dimers Pro for full access) projects the Orioles as the most likely winner of today's game.
"Our team has analyzed the latest data and conducted 10,000 simulations for Tuesday's Royals-Orioles game," said Dimers' Chief Content Officer, Nick Slade.
"By incorporating recent updates and various factors, our prediction shows the Orioles with a win probability of 59%, compared to 41% for the Royals."
Royals vs. Orioles Game-Day Updates and Essential Details
Tuesday's MLB game between the Orioles and Royals at Oriole Park at Camden Yards is scheduled to commence at 4:08PM ET.
- Who: Kansas City Royals vs. Baltimore Orioles
- Date: Tuesday, October 1, 2024
- Time: 4:08PM ET/1:08PM PT
- Venue: Oriole Park at Camden Yards
- Tickets: Get tickets for the game on Ticketmaster
- Merchandise: Buy Orioles and Royals gear at Fanatics
Dimers.com's comprehensive preview of Tuesday's Royals vs. Orioles matchup includes our prediction, picks and the latest betting odds.
Before making any Orioles vs. Royals picks, be sure to check out the latest MLB predictions and betting advice from Dimers Pro.
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Get 20% off Dimers Pro with code 20BASEBALL Get Dimers Pro Royals vs. Orioles Prediction: Who Will Win, Cover the Run Line?
Using innovative machine learning and data, we have simulated the outcome of Tuesday's MLB game between the Royals and Orioles 10,000 times as part of our MLB predictions coverage.
Our famous predictive model currently gives the Orioles a 59% chance of beating the Royals.
According to our model, the Royals (+1.5) have a 62% chance of covering the run line, while the 7-run over/under has a 51% chance of going over.
Pre-Game Probabilities
Last Updated: 10:28AM, Oct 1
Moneyline
Over / Under
Run Line
Cole Ragans 0-0, 0.00 ERA
Corbin Burnes 0-0, 0.00 ERA
Get the best bets with Dimers Pro
Royals vs. Orioles Odds [Wild Card Series Game 1]
We have sourced the best betting odds in America for this game, which are listed here:
| Bet Type | Royals | Orioles |
|---|---|---|
| Run Line | +1.5 (-182) | -1.5 (+155) |
| Moneyline | +125 | -146 |
| Total | o7 (+100) | u7 (-120) |
All odds are correct at the time of publication and are subject to change.
Royals vs. Orioles Picks
Our model's biggest edge in today's Royals vs. Orioles matchup is on the run line.
Our expert predictions, matched against the best odds, reveal the best MLB picks for every game throughout the season.
Unlimited access to our picks, including this one, is available via Dimers Pro.
Unlock Every Royals-Orioles Pick Get Dimers Pro Calling Our Shot: Best Bets
Calling Our Shot produces daily MLB betting content, including the latest free picks featured below.
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Conclusion
We predict the Orioles, with a 59% win probability, will likely beat the Royals on Tuesday.
AI and automation have enhanced this article to quickly deliver accurate Royals vs. Orioles insights, with human oversight ensuring high editorial quality. Our predictions are sourced from 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
Stay informed with the latest MLB news and our data-driven MLB best bets 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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