Pittsburgh Pirates vs Philadelphia Phillies Betting Odds & Game Analysis | July 28


By Claudio Fortuna | July 28, 2022 12:28 PM

The Philadelphia Phillies visit the Pittsburgh Pirates at PNC Park, taking the field at 7:05pm ET on Thursday July 28th, 7:05pm ET. The Pittsburgh Pirates are 1.5-run underdogs in the game, and the Over/Under is set at 8 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 Philadelphia Phillies and Pittsburgh Pirates.

Pittsburgh and Philadelphia Betting Info

  • Seven of the last eight games between the Phillies and Pirates at PNC Park have gone UNDER the total runs line.
  • The Pirates have won each of their last five games as home underdogs following a loss.

Philadelphia Phillies Stats

Season Stats
Team Batting AVG .245
Team OBP .310
AVG Runs Scored 4.6
Team ERA 3.79
Team WHIP 1.22
Starters ERA 3.80
Starters WHIP 1.15

Key Players for Philadelphia

  • Jeurys Familia: 4.68 ERA, 8.82 K/9, 1.68 WHIP
  • Bradley Hand: 2.05 ERA, 7.92 K/9, 1.17 WHIP
  • Bailey Falter: 5.18 ERA, 7.91 K/9, 1.45 WHIP
  • Rhys Hoskins: .242 Batting Avg, .333 OBP, .465 SLG, .798 OPS, 51 Runs
  • Matthew Vierling: .227 Batting Avg, .296 OBP, .333 SLG, .629 OPS, 20 Runs
  • Mariekson Gregorius: .218 Batting Avg, .275 OBP, .321 SLG, .596 OPS, 16 Runs
  • Darick Hall: .260 Batting Avg, .288 OBP, .532 SLG, .820 OPS, 13 Runs
  • Nicholas Castellanos: .246 Batting Avg, .291 OBP, .365 SLG, .656 OPS, 38 Runs
  • Jacob Realmuto: .257 Batting Avg, .330 OBP, .406 SLG, .736 OPS, 43 Runs
  • Bryson Stott: .195 Batting Avg, .267 OBP, .326 SLG, .593 OPS, 31 Runs
  • Kyle Schwarber: .201 Batting Avg, .306 OBP, .494 SLG, .800 OPS, 64 Runs
  • Alec Bohm: .293 Batting Avg, .326 OBP, .403 SLG, .729 OPS, 47 Runs

Pittsburgh Pirates Stats

Season Stats
Team Batting AVG .220
Team OBP .288
AVG Runs Scored 3.6
Team ERA 4.62
Team WHIP 1.42
Starters ERA 4.62
Starters WHIP 1.43

Key Players for Pittsburgh

  • David Bednar: 2.76 ERA, 12.02 K/9, 1.09 WHIP
  • Tyler Beede: 2.93 ERA, 6.18 K/9, 1.19 WHIP
  • Bryse Wilson: 6.31 ERA, 6.47 K/9, 1.60 WHIP
  • Bryan Reynolds: .254 Batting Avg, .335 OBP, .453 SLG, .788 OPS, 40 Runs
  • Kevin Newman: .252 Batting Avg, .306 OBP, .359 SLG, .665 OPS, 9 Runs
  • Calvin Mitchell: .196 Batting Avg, .237 OBP, .299 SLG, .536 OPS, 8 Runs
  • Jason Delay: .308 Batting Avg, .357 OBP, .462 SLG, .819 OPS, 4 Runs
  • Benjamin Gamel: .245 Batting Avg, .336 OBP, .375 SLG, .711 OPS, 27 Runs
  • Yoshitomo Tsutsugo: .173 Batting Avg, .254 OBP, .235 SLG, .489 OPS, 11 Runs
  • Oneil Cruz: .221 Batting Avg, .252 OBP, .442 SLG, .694 OPS, 16 Runs
  • Ke’Bryan Hayes: .251 Batting Avg, .323 OBP, .353 SLG, .676 OPS, 40 Runs
  • Michael Chavis: .236 Batting Avg, .275 OBP, .407 SLG, .682 OPS, 24 Runs

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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