HomebaseballKansas City Royals vs. Baltimore Orioles Predictions & Odds – Jun 10,...

Kansas City Royals vs. Baltimore Orioles Predictions & Odds – Jun 10, 2022

The Kansas City Royals will meet the Baltimore Orioles on Friday, June 10 at Kauffman Stadium at 7:10 pm CT.

Kansas City Royals vs. Baltimore Orioles Odds

Kansas City Royals -112 | Baltimore Orioles -104 (BET NOW)

Over/Under 9.5 total points (BET NOW)

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Kansas City Royals

This season’s overall batting average for the Royals is .239. As far as pitching goes, the team has an ERA of 5.37 and with regard to fielding, they have a .988 percentage. They defeated the Toronto Blue Jays 8-4 the last time they met on Tuesday, and are currently number five in the American League Central. Having said that, do you think these guys can wrap it up with one in the win column here?

The Kansas City Royals are without Donald Greinke (Flexor), Amir Garrett (Undisclosed), Gabriel Speier (Undisclosed), Cameron Gallagher (Hamstring), Raúl Mondesi (Knee), Jacob Brentz (Flexor), Tyler Zuber (Shoulder), Edward Olivares (Quad) and Matthew Peacock (Undisclosed).

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Baltimore Orioles

The overall regular season batting average for the Orioles is .228 and in terms of pitching, the team has an ERA of 4.16. With regard to fielding, the team has a percentage of .979. They beat the Chicago Cubs 9-3 the last time they met on Tuesday, and are currently number five in the American League East. Will the Orioles pull it off this time?

The Baltimore Orioles are without Christopher Ellis (Shoulder), John Means (Elbow), Alexander Wells (Elbow) and Joseph Krehbiel (Shoulder).

Kansas City Royals vs. Baltimore Orioles Predictions

Moneyline Pick: Kansas City Royals (-112)

Over/Under Pick: Under 9.5 total points (-120)

Runline Pick: Baltimore Orioles -1.5 runs (+164)

(*Predictions based on our proprietary predictive algorithm software)

View today’s MLB betting lines.

BigOnSports Staff
BigOnSports Staff
Our predictions are based on our proprietary predictive algorithm software that runs each game simulation 10,000 times in order to determine the optimal betting value.
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