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San Francisco Giants vs. New York Mets Predictions & Odds – May 24, 2022

The San Francisco Giants (22W-19L) will face off against the New York Mets (29W-15L) on Tuesday, May 24 at Oracle Park at 6:45 pm PT.

San Francisco Giants vs. New York Mets Odds

San Francisco Giants -124 | New York Mets +106 (BET NOW)

Over/Under 7.5 total points (BET NOW)

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San Francisco Giants

This season’s overall batting average for the Giants is .245. As far as pitching goes, the team has an ERA of 4.38 and with regard to fielding, they have a .988 percentage. They beat the San Diego Padres 1-10 the last time they met on Sunday, and are currently number three in the National League West. That said, do you think these guys can pick up a win here?

The San Francisco Giants are missing Jacob McGee (Back), Brandon Belt (Knee), Austin Slater (Wrist), Anthony DeSclafani (Ankle), Curtis Casali (Concussion), Steven Duggar (Oblique), LaMonte Wade Jr. (Left Knee) and Matthew Boyd (Elbow).

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New York Mets

The overall regular season batting average for the Mets is .258 and in terms of pitching, the team has an ERA of 3.52. With regard to fielding, the team has a percentage of .989. They were defeated by the Colorado Rockies 0-2 the last time they met on Sunday, and are currently number one in the National League East. Will the Mets come out on top when all is said and done this time?

The New York Mets will play without Tylor Megill (Lat), John Curtiss (Elbow), Jacob deGrom (Shoulder), Joseph Lucchesi (Elbow), James McCann (Hamate), Maxwell Scherzer (Oblique), Trevor May (Triceps) and Sean Reid-Foley (Elbow).

San Francisco Giants vs. New York Mets Predictions

Moneyline Pick: San Francisco Giants (-124)

Over/Under Pick: Under 7.5 total points (-118)

Runline Pick: San Francisco Giants -1.5 runs (+160)

(*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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