Baltimore Orioles vs Boston Red Sox Betting Odds & Game Analysis | April 29


By Ed Winchester | April 29, 2022 10:55 AM

The Boston Red Sox visit the Baltimore Orioles at Oriole Park at Camden Yards, taking the field at 7:05pm ET on Friday April 29th, 7:05pm ET. The Baltimore Orioles are 1.5-run underdogs in the game, and the Over/Under is set at 9 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 Boston Red Sox and Baltimore Orioles.

Baltimore and Boston Betting Info

  • The Orioles have lost each of their last 10 games against AL East opponents following a road loss.
  • Each of the Orioles’ last nine home games against AL East opponents have gone UNDER the total runs line.

Boston Red Sox Stats

Season Stats
Team Batting AVG .229
Team OBP .275
AVG Runs Scored 3.6
Team ERA 3.55
Team WHIP 1.24
Starters ERA 3.80
Starters WHIP 1.31

Key Players for Boston

  • Nathan Eovaldi: 3.32 ERA, 9.97 K/9, 1.11 WHIP
  • Hansel Robles: 0.00 ERA, 9.00 K/9, 0.67 WHIP
  • Trevor Story: .224 Batting Avg, .308 OBP, .293 SLG, .601 OPS, 6 Runs
  • Julio Martinez: .278 Batting Avg, .344 OBP, .481 SLG, .825 OPS, 7 Runs
  • Xander Bogaerts: .392 Batting Avg, .416 OBP, .527 SLG, .943 OPS, 12 Runs
  • Enrique Hernández: .197 Batting Avg, .267 OBP, .342 SLG, .609 OPS, 11 Runs
  • Christian Vázquez: .209 Batting Avg, .234 OBP, .279 SLG, .513 OPS, 4 Runs
  • Robert Dalbec: .154 Batting Avg, .211 OBP, .246 SLG, .457 OPS, 7 Runs
  • Rafael Devers: .277 Batting Avg, .294 OBP, .458 SLG, .752 OPS, 13 Runs
  • Alex Verdugo: .254 Batting Avg, .296 OBP, .408 SLG, .704 OPS, 5 Runs
  • Jackie Bradley Jr.: .161 Batting Avg, .254 OBP, .232 SLG, .486 OPS, 3 Runs

Baltimore Orioles Stats

Season Stats
Team Batting AVG .217
Team OBP .305
AVG Runs Scored 3.1
Team ERA 3.87
Team WHIP 1.33
Starters ERA 3.94
Starters WHIP 1.42

Key Players for Baltimore

  • Jorge López: 2.00 ERA, 13.00 K/9, 1.11 WHIP
  • Jordan Lyles: 5.40 ERA, 6.75 K/9, 1.60 WHIP
  • Dillon Tate: 2.61 ERA, 6.97 K/9, 0.68 WHIP
  • Joseph Mancini: .236 Batting Avg, .288 OBP, .333 SLG, .621 OPS, 5 Runs
  • Anthony Santander: .222 Batting Avg, .395 OBP, .397 SLG, .792 OPS, 8 Runs
  • Rougned Odor: .200 Batting Avg, .288 OBP, .289 SLG, .577 OPS, 5 Runs
  • Robinson Chirinos: .189 Batting Avg, .318 OBP, .243 SLG, .561 OPS, 2 Runs
  • Ryan Mountcastle: .232 Batting Avg, .264 OBP, .290 SLG, .554 OPS, 6 Runs
  • Jorge Mateo: .238 Batting Avg, .294 OBP, .302 SLG, .596 OPS, 4 Runs
  • Ramón Urías: .203 Batting Avg, .254 OBP, .237 SLG, .491 OPS, 3 Runs
  • Boyce Mullins: .205 Batting Avg, .310 OBP, .356 SLG, .666 OPS, 11 Runs
  • Austin Hays: .279 Batting Avg, .364 OBP, .471 SLG, .835 OPS, 6 Runs

The Orioles and Red Sox haven’t met since last season on September 30, 2021, where the Baltimore Orioles won by a score of 6-2.

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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