Baltimore Orioles vs Tampa Bay Rays Betting Odds & Game Analysis | July 28


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

The Tampa Bay Rays visit the Baltimore Orioles at Oriole Park at Camden Yards, taking the field at 12:35pm ET on Thursday July 28th, 12:35pm ET. The Tampa Bay Rays are 0.5-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 Tampa Bay Rays and Baltimore Orioles.

Baltimore and Tampa Bay Betting Info

  • Six of the Rays’ last seven games against AL East opponents have gone OVER the total runs line.
  • The Orioles have won each of their last six games following a home loss.

Tampa Bay Rays Stats

Season Stats
Team Batting AVG .241
Team OBP .308
AVG Runs Scored 4.2
Team ERA 3.42
Team WHIP 1.16
Starters ERA 3.39
Starters WHIP 1.12

Key Players for Tampa Bay

  • Corey Kluber: 3.91 ERA, 7.63 K/9, 1.14 WHIP
  • Ralph Garza Jr.: 3.48 ERA, 4.36 K/9, 1.58 WHIP
  • Christian Bethancourt: .190 Batting Avg, .227 OBP, .333 SLG, .560 OPS, 2 Runs
  • Taylor Walls: .171 Batting Avg, .253 OBP, .279 SLG, .532 OPS, 29 Runs
  • Joshua Lowe: .203 Batting Avg, .259 OBP, .331 SLG, .590 OPS, 23 Runs
  • Randy Arozarena: .259 Batting Avg, .316 OBP, .430 SLG, .746 OPS, 43 Runs
  • Brett Phillips: .146 Batting Avg, .227 OBP, .253 SLG, .480 OPS, 21 Runs
  • Ji-Man Choi: .266 Batting Avg, .369 OBP, .435 SLG, .804 OPS, 27 Runs
  • Brandon Lowe: .240 Batting Avg, .311 OBP, .433 SLG, .744 OPS, 25 Runs
  • Isaac Paredes: .223 Batting Avg, .300 OBP, .497 SLG, .797 OPS, 29 Runs

Baltimore Orioles Stats

Season Stats
Team Batting AVG .234
Team OBP .302
AVG Runs Scored 4.2
Team ERA 3.95
Team WHIP 1.30
Starters ERA 4.73
Starters WHIP 1.39

Key Players for Baltimore

  • Jorge López: 1.71 ERA, 9.89 K/9, 0.99 WHIP
  • Austin Voth: 3.38 ERA, 8.44 K/9, 1.35 WHIP
  • Nicholas Vespi: 4.41 ERA, 10.47 K/9, 1.22 WHIP
  • Joseph Mancini: .268 Batting Avg, .345 OBP, .401 SLG, .746 OPS, 36 Runs
  • Anthony Santander: .243 Batting Avg, .328 OBP, .431 SLG, .759 OPS, 45 Runs
  • Rougned Odor: .201 Batting Avg, .262 OBP, .383 SLG, .645 OPS, 33 Runs
  • Adley Rutschman: .240 Batting Avg, .338 OBP, .436 SLG, .774 OPS, 29 Runs
  • Ryan Mountcastle: .260 Batting Avg, .300 OBP, .449 SLG, .749 OPS, 41 Runs
  • Jorge Mateo: .215 Batting Avg, .264 OBP, .370 SLG, .634 OPS, 37 Runs
  • Ramón Urías: .264 Batting Avg, .306 OBP, .460 SLG, .766 OPS, 33 Runs
  • Boyce Mullins: .260 Batting Avg, .322 OBP, .387 SLG, .709 OPS, 53 Runs
  • Austin Hays: .263 Batting Avg, .320 OBP, .439 SLG, .759 OPS, 47 Runs

In the last 5 matchups between the Orioles and Rays, the Orioles won three times and the Rays won twice. Their most recent matchup on July 27, 2022 ended 6-4 with the Tampa Bay Rays 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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