HomebaseballSan Diego Padres vs. Pittsburgh Pirates Predictions & Odds – May 27,...

San Diego Padres vs. Pittsburgh Pirates Predictions & Odds – May 27, 2022

The San Diego Padres (28W-16L) will meet the Pittsburgh Pirates (18W-25L) on Friday, May 27 at PETCO Park at 6:40 pm PT.

San Diego Padres vs. Pittsburgh Pirates Odds

San Diego Padres -205 | Pittsburgh Pirates +172 (BET NOW)

Over/Under 7 total points (BET NOW)

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San Diego Padres

This season’s overall batting average for the Padres is .230. As far as pitching goes, the team has an ERA of 3.49 and with regard to fielding, they have a .990 percentage. They beat the Milwaukee Brewers 1-2 the last time they met on Wednesday, and are currently number two in the National League West. Having said that, do you think they can take home the win here?

The San Diego Padres are missing Fernando Tatis Jr. (Wrist), Thomas Pomeranz (Undisclosed), Pierce Johnson (Elbow), Michael Clevinger (Triceps), Adrian Morejon (Elbow), Austin Adams (Forearm), Matthew Beaty (Shoulder) and Michel Baez (Elbow).

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Pittsburgh Pirates

The overall regular season batting average for the Pirates is .223 and in terms of pitching, the team has an ERA of 4.73. With regard to fielding, the team has a percentage of .978. They defeated the Colorado Rockies 10-5 the last time they met on Wednesday, and are currently number four in the National League Central. Will the Pirates pull it off this time?

The Pittsburgh Pirates are without Daniel Vogelbach (Left Hamstring), Nicolaus Mears (Elbow), Richard Hembree (Right Calf), Kevin Newman (Groin), Jacob Marisnick (Thumb), Roberto Pérez (Hamstring), Blake Cederlind (Elbow) and Greg Allen (Hamstring).

San Diego Padres vs. Pittsburgh Pirates Predictions

Moneyline Pick: San Diego Padres (-205)

Over/Under Pick: Under 7 total points (-104)

Runline Pick: San Diego Padres -1.5 runs (+114)

(*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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