Baltimore Orioles vs Pittsburgh Pirates Betting Odds & Game Analysis | August 5


By Claudio Fortuna | August 5, 2022 10:30 AM

The Pittsburgh Pirates visit the Baltimore Orioles at Oriole Park at Camden Yards, taking the field at 7:05pm ET on Friday August 5th, 7:05pm ET. The Pittsburgh Pirates are 1-run underdogs in the game, and the Over/Under is set at 8.5 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 Baltimore Orioles.

Baltimore and Pittsburgh Betting Info

  • Each of the Pirates’ last four road games have gone UNDER the total runs line.
  • The Pirates have lost each of their last 13 road games following a home win.

Pittsburgh Pirates Stats

Season Stats
Team Batting AVG .221
Team OBP .290
AVG Runs Scored 3.6
Team ERA 4.61
Team WHIP 1.43
Starters ERA 4.77
Starters WHIP 1.45

Key Players for Pittsburgh

  • Beau Sulser: 3.72 ERA, 9.31 K/9, 1.45 WHIP
  • Zachary Thompson: 5.15 ERA, 6.30 K/9, 1.46 WHIP
  • Eric Stout: 0.00 ERA, 10.80 K/9, 0.60 WHIP
  • Bryan Reynolds: .258 Batting Avg, .341 OBP, .460 SLG, .801 OPS, 44 Runs
  • Kevin Newman: .279 Batting Avg, .326 OBP, .403 SLG, .729 OPS, 12 Runs
  • Calvin Mitchell: .208 Batting Avg, .246 OBP, .346 SLG, .592 OPS, 12 Runs
  • Jason Delay: .298 Batting Avg, .353 OBP, .426 SLG, .779 OPS, 5 Runs
  • Benjamin Gamel: .237 Batting Avg, .333 OBP, .362 SLG, .695 OPS, 28 Runs
  • Oneil Cruz: .219 Batting Avg, .260 OBP, .445 SLG, .705 OPS, 20 Runs
  • Ke’Bryan Hayes: .246 Batting Avg, .319 OBP, .350 SLG, .669 OPS, 41 Runs
  • Michael Chavis: .248 Batting Avg, .285 OBP, .415 SLG, .700 OPS, 25 Runs

Baltimore Orioles Stats

Season Stats
Team Batting AVG .235
Team OBP .304
AVG Runs Scored 4.2
Team ERA 3.88
Team WHIP 1.29
Starters ERA 4.58
Starters WHIP 1.38

Key Players for Baltimore

  • Félix Bautista: 1.81 ERA, 12.09 K/9, 0.87 WHIP
  • Beau Sulser: 4.50 ERA, 5.63 K/9, 1.63 WHIP
  • Spenser Watkins: 3.80 ERA, 5.63 K/9, 1.36 WHIP
  • Anthony Santander: .259 Batting Avg, .340 OBP, .457 SLG, .797 OPS, 48 Runs
  • Terrin Vavra: .333 Batting Avg, .571 OBP, .444 SLG, 1.015 OPS, 4 Runs
  • Rougned Odor: .195 Batting Avg, .253 OBP, .369 SLG, .622 OPS, 34 Runs
  • Adley Rutschman: .252 Batting Avg, .353 OBP, .446 SLG, .799 OPS, 35 Runs
  • Ryan Mountcastle: .252 Batting Avg, .294 OBP, .431 SLG, .725 OPS, 42 Runs
  • Jorge Mateo: .216 Batting Avg, .264 OBP, .389 SLG, .653 OPS, 41 Runs
  • Ramón Urías: .247 Batting Avg, .296 OBP, .425 SLG, .721 OPS, 34 Runs
  • Boyce Mullins: .260 Batting Avg, .322 OBP, .388 SLG, .710 OPS, 58 Runs
  • Austin Hays: .258 Batting Avg, .317 OBP, .429 SLG, .746 OPS, 49 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.

BestOdds is the ultimate website for bettors new and old alike. We offer not just educational content but the latest news and best MLB Odds across legal sportsbooks.

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