HomebaseballMiami Marlins vs. San Francisco Giants Predictions & Odds – Jun 4,...

Miami Marlins vs. San Francisco Giants Predictions & Odds – Jun 4, 2022

The Miami Marlins (21W-29L) will meet the San Francisco Giants (28W-23L) on Saturday, June 4 at loanDepot park at 4:10 pm ET.

Miami Marlins vs. San Francisco Giants Odds

Miami Marlins -110 | San Francisco Giants -106 (BET NOW)

Over/Under 7 total points (BET NOW)

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Miami Marlins

This season’s overall batting average for the Marlins is .247. As far as pitching goes, the team has an ERA of 3.94 and with regard to fielding, they have a .986 percentage. They defeated the San Francisco Giants 6-15 on Friday, and are currently number four in the National League East. That said, do you think they can take home the win here?

The Miami Marlins are missing Joseph Wendle (Hamstring), Jesús Luzardo (Forearm), Paul Campbell (Elbow), Brian Anderson (Back), Sean Guenther (Arm), Cody Poteet (Elbow) and Anthony Bender (Back).

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San Francisco Giants

The overall regular season batting average for the Giants is .247 and in terms of pitching, the team has an ERA of 4.44. With regard to fielding, the team has a percentage of .987. They were defeated by the Miami Marlins 6-15 the last time they met on Friday, and are currently number three in the National League West. Will the Giants get the win when they go head-to-head once more against the Marlins?

The San Francisco Giants are without Brandon Belt (Knee), Austin Slater (Wrist), Luis González (Leg), Anthony DeSclafani (Ankle), Alexander Cobb (Back), Steven Duggar (Oblique), LaMonte Wade Jr. (Left Knee) and Matthew Boyd (Elbow).

Miami Marlins vs. San Francisco Giants Predictions

Moneyline Pick: Miami Marlins (-110)

Over/Under Pick: Under 7 total points (-128)

Runline Pick: San Francisco Giants -1.5 runs (+158)

(*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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