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San Francisco Giants vs. San Diego Padres Predictions & Odds – May 21, 2022

The San Francisco Giants (22W-16L) will face off against the San Diego Padres (25W-14L) on Saturday, May 21 at Oracle Park at 1:05 pm PT.

San Francisco Giants vs. San Diego Padres Odds

San Francisco Giants -158 | San Diego Padres +134 (BET NOW)

Over/Under 7 total points (BET NOW)

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San Francisco Giants

This season’s overall batting average for the Giants is .250. As far as pitching goes, the team has an ERA of 4.08 and with regard to fielding, they have a .988 percentage. They lost to the Colorado Rockies 5-3 the last time they met on Thursday, and are currently number three in the National League West. That said, do you think these guys can wrap it up with one in the win column here?

The San Francisco Giants will play without Jacob McGee (Back), Anthony DeSclafani (Ankle), Steven Duggar (Oblique), LaMonte Wade Jr. (Left Knee) and Matthew Boyd (Elbow).

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San Diego Padres

The overall regular season batting average for the Padres is .227 and in terms of pitching, the team has an ERA of 3.69. With regard to fielding, the team has a percentage of .990. They were defeated by the Philadelphia Phillies 0-2 the last time they met on Thursday, and are currently number two in the National League West. Will the Padres come out on top when all is said and done this time?

The San Diego Padres are without Fernando Tatis Jr. (Wrist), Thomas Pomeranz (Undisclosed), Pierce Johnson (Elbow), Adrian Morejon (Elbow), Timothy Hill (Shoulder), Austin Adams (Forearm), Matthew Beaty (Shoulder) and Michel Baez (Elbow).

San Francisco Giants vs. San Diego Padres Predictions

Moneyline Pick: San Francisco Giants (-158)

Over/Under Pick: Under 7 total points (-122)

Runline Pick: San Francisco Giants -1.5 runs (+146)

(*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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