Rangers vs. Blue Jays Prediction: Blue Jays Predicted to Win After New Data Released for Saturday's MLB Game [7/27/2024]

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Written by Jason Bevilacqua
Rangers vs. Blue Jays Prediction: Blue Jays Predicted to Win After New Data Released for Saturday's MLB Game [7/27/2024]

MLB action continues on Saturday at 3:07PM ET as the Texas Rangers take on the Toronto Blue Jays at Rogers Centre.

Kevin Gausman (8-8, 4.55 ERA) will be on the bump for the Blue Jays, while the Rangers will counter with Michael Lorenzen (5-5, 3.53 ERA).

Based on updated simulations, Dimers' advanced MLB model (see Dimers Pro for full access) predicts the Blue Jays as the most likely winner of today's game.

"Our team has used the latest data to run 10,000 simulations of Saturday's Rangers-Blue Jays game," said Dimers' Chief Content Officer, Nick Slade.

"By incorporating recent updates and various other inputs, we estimate that the Blue Jays are more likely to win, while the Rangers have a lower chance of victory."

Rangers vs. Blue Jays Game-Day Updates and Essential Details

Saturday's MLB matchup between the Blue Jays and Rangers at Rogers Centre is scheduled to commence at 3:07PM ET.

Dimers.com's full preview of Saturday's Rangers vs. Blue Jays matchup includes our prediction, picks and the latest betting odds.

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

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

Using powerful machine learning and data, we have simulated the outcome of Saturday's MLB matchup between the Rangers and Blue Jays 10,000 times as part of our MLB picks coverage.

Our leading predictive model currently gives the Blue Jays a 56% chance of beating the Rangers.

According to our model, the Rangers (+1.5) have a 63% chance of covering the run line, while the 8.5-run over/under has a 51% chance of staying under.

Pre-Game Probabilities
Last Updated: 7:33PM, Jul 27
Moneyline
Over / Under
Run Line
Rangers
Win %
49%
51%
Get the best bets with Dimers Pro
See Matchup
Blue Jays
Rangers TEX
Win %
49%
51%
See Matchup
Blue Jays TOR
Michael Lorenzen 5-5, 3.53 ERA
Kevin Gausman 8-8, 4.55 ERA
Get the best bets with Dimers Pro

Rangers vs. Blue Jays Odds [7/27/2024]

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

Bet Type Rangers Blue Jays
Run Line +1.5 (-180) -1.5 (+150)
Moneyline +114 -130
Total o8.5 (-112) u8.5 (-105)

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

Rangers vs. Blue Jays Picks

Our model's biggest edge in today's Rangers vs. Blue Jays matchup is on the run line.

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

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

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Calling Our Shot: Free MLB Picks

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

Conclusion

We predict the Blue Jays, with a 56% win probability, will likely beat the Rangers on Saturday.

AI and automation have enhanced this article to quickly deliver accurate Rangers vs. Blue Jays insights, with human oversight ensuring high editorial quality. Our predictions are drawn from 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 well-informed with the latest MLB news and our data-led MLB parlay picks all season long. Plus, our World Series odds give you the latest probabilities and the best available odds on 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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