HomebaseballKansas City Royals vs. Houston Astros Predictions & Odds – Jun 3,...

Kansas City Royals vs. Houston Astros Predictions & Odds – Jun 3, 2022

The Kansas City Royals (16W-33L) will meet the Houston Astros (33W-18L) on Friday, June 3 at Kauffman Stadium at 7:10 pm CT.

Kansas City Royals vs. Houston Astros Odds

Kansas City Royals +114 | Houston Astros -134 (BET NOW)

Over/Under 9 total points (BET NOW)

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Kansas City Royals

This season’s overall batting average for the Royals is .240. As far as pitching goes, the team has an ERA of 5.32 and with regard to fielding, they have a .988 percentage. They lost to the Cleveland Guardians 4-0 the last time they met on Wednesday, and are currently number five in the American League Central. Having said that, do you think these guys can pick up a win here?

The Kansas City Royals will play without Michael A. Taylor (Illness), 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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Houston Astros

The overall regular season batting average for the Astros is .231 and in terms of pitching, the team has an ERA of 2.95. With regard to fielding, the team has a percentage of .987. They were beaten by the Oakland Athletics 4-5 the last time they met on Wednesday, and are currently number one in the American League West. Will the Astros pull it off this time?

The Houston Astros are without Taylor Jones (Back), Lance McCullers Jr. (Forearm), Jacob Odorizzi (Leg) and Jacob Meyers (Shoulder).

Kansas City Royals vs. Houston Astros Predictions

Moneyline Pick: Houston Astros (-134)

Over/Under Pick: Under 9 total points (-124)

Runline Pick: Houston Astros -1.5 runs (+116)

(*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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