Miami Marlins vs Pittsburgh Pirates Betting Odds & Game Analysis | July 13


By Claudio Fortuna | July 13, 2022 12:27 PM

The Pittsburgh Pirates visit the Miami Marlins at LoanDepot Park, taking the field at 6:40pm ET on Wednesday July 13th, 6:40pm ET. The Pittsburgh Pirates are 1-run underdogs in the game, and the Over/Under is set at 7 runs.

Welcome to the BestOdds betting breakdown where we identify performance trends in order to analyze teams’ chances in the upcoming game.

Today, we are looking at the Major League Baseball game between the Pittsburgh Pirates and Miami Marlins.

Miami and Pittsburgh Betting Info

  • Each of the Pirates’ last six night games against NL East opponents have gone UNDER the total runs line.
  • The Pirates have won each of their last four games as underdogs.

Pittsburgh Pirates Stats

Season Stats
Team Batting AVG .222
Team OBP .289
AVG Runs Scored 3.7
Team ERA 4.67
Team WHIP 1.42
Starters ERA 4.75
Starters WHIP 1.46

Key Players for Pittsburgh

  • David Bednar: 2.57 ERA, 12.00 K/9, 1.00 WHIP
  • Zachary Thompson: 4.38 ERA, 6.64 K/9, 1.43 WHIP
  • Dillon Peters: 3.81 ERA, 7.62 K/9, 1.13 WHIP
  • Jack Suwinski: .201 Batting Avg, .286 OBP, .434 SLG, .720 OPS, 32 Runs
  • Kevin Newman: .286 Batting Avg, .324 OBP, .386 SLG, .710 OPS, 6 Runs
  • Oneil Cruz: .218 Batting Avg, .244 OBP, .462 SLG, .706 OPS, 12 Runs
  • Ke’Bryan Hayes: .250 Batting Avg, .322 OBP, .355 SLG, .677 OPS, 40 Runs
  • Jacob Marisnick: .200 Batting Avg, .241 OBP, .364 SLG, .605 OPS, 8 Runs
  • Michael Chavis: .233 Batting Avg, .276 OBP, .415 SLG, .691 OPS, 24 Runs
  • Michael Perez: .152 Batting Avg, .198 OBP, .324 SLG, .522 OPS, 8 Runs
  • Daniel Vogelbach: .238 Batting Avg, .340 OBP, .453 SLG, .793 OPS, 27 Runs

Miami Marlins Stats

Season Stats
Team Batting AVG .240
Team OBP .304
AVG Runs Scored 4.2
Team ERA 3.79
Team WHIP 1.24
Starters ERA 3.62
Starters WHIP 1.20

Key Players for Miami

  • Tanner Scott: 4.04 ERA, 13.63 K/9, 1.32 WHIP
  • Elieser Hernandez: 6.23 ERA, 8.66 K/9, 1.38 WHIP
  • Richard Bleier: 4.44 ERA, 5.54 K/9, 1.44 WHIP
  • Bryan De La Cruz: .221 Batting Avg, .270 OBP, .378 SLG, .648 OPS, 20 Runs
  • Miguel Rojas: .244 Batting Avg, .294 OBP, .364 SLG, .658 OPS, 25 Runs
  • Jacob Stallings: .185 Batting Avg, .248 OBP, .235 SLG, .483 OPS, 18 Runs
  • Jesús Sánchez: .205 Batting Avg, .261 OBP, .390 SLG, .651 OPS, 32 Runs
  • Avisaíl García: .228 Batting Avg, .262 OBP, .322 SLG, .584 OPS, 24 Runs
  • Garrett Cooper: .296 Batting Avg, .363 OBP, .455 SLG, .818 OPS, 28 Runs
  • Jesús Aguilar: .248 Batting Avg, .294 OBP, .406 SLG, .700 OPS, 30 Runs
  • Joseph Wendle: .268 Batting Avg, .321 OBP, .382 SLG, .703 OPS, 13 Runs
  • Brian Anderson: .258 Batting Avg, .349 OBP, .384 SLG, .733 OPS, 25 Runs

The Marlins and Pirates have met twice this season, with the Marlins winning none and the Pirates winning twice. Their most recent matchup on July 12, 2022 ended 3-2 with the Pittsburgh Pirates taking the win.

MLB Computer Picks For Betting Previews

MLB computer picks are betting recommendations made by an AI computer algorithm with a final check by sports betting analyst.

The AI algorithm considers various data points to come up with its betting prediction. Betting trends, game venue, line-ups, weather, injury, news updates, and a wide range of stats are the factors taken into account when making MLB betting preview computer picks.

A professional sports bettor performs the final check.

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