HomebaseballSan Diego Padres vs. New York Mets Predictions & Odds – Jun...

San Diego Padres vs. New York Mets Predictions & Odds – Jun 7, 2022

The San Diego Padres will face off against the New York Mets on Tuesday, June 7 at PETCO Park at 6:40 pm PT.

San Diego Padres vs. New York Mets Odds

San Diego Padres -132 | New York Mets +112 (BET NOW)

Over/Under 7.5 total points (BET NOW)

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San Diego Padres

This season’s overall batting average for the Padres is .231. As far as pitching goes, the team has an ERA of 3.55 and with regard to fielding, they have a .991 percentage. They lost to the Milwaukee Brewers 4-6 the last time they met on Sunday, and are currently number two 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 Diego Padres are missing William Myers (Knee), Fernando Tatis Jr. (Wrist), Thomas Pomeranz (Undisclosed), Pierce Johnson (Elbow), Austin Adams (Forearm) and Matthew Beaty (Shoulder).

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New York Mets

The overall regular season batting average for the Mets is .267 and in terms of pitching, the team has an ERA of 3.74. With regard to fielding, the team has a percentage of .988. They were beaten by the Los Angeles Dodgers 4-5 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), Travis Jankowski (Hand), Joseph Lucchesi (Elbow), James McCann (Hamate), Maxwell Scherzer (Oblique), Trevor May (Triceps) and Sean Reid-Foley (Elbow).

San Diego Padres vs. New York Mets Predictions

Moneyline Pick: San Diego Padres (-132)

Over/Under Pick: Under 7.5 total points (-105)

Runline Pick: San Diego Padres -1.5 runs (+168)

(*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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