Chicago Cubs vs Baltimore Orioles Betting Odds & Game Analysis | July 12


By Claudio Fortuna | July 12, 2022 12:42 PM

The Baltimore Orioles visit the Chicago Cubs at Wrigley Field, taking the field at 8:05pm ET on Tuesday July 12th, 8:05pm ET. The Baltimore Orioles 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 Baltimore Orioles and Chicago Cubs.

Chicago and Baltimore Betting Info

  • Five of the Orioles’ last six road games against National League opponents have gone UNDER the total runs line.
  • The Orioles have won each of their last eight games.

Baltimore Orioles Stats

Season Stats
Team Batting AVG .231
Team OBP .299
AVG Runs Scored 4.1
Team ERA 3.96
Team WHIP 1.29
Starters ERA 4.57
Starters WHIP 1.37

Key Players for Baltimore

  • Jorge López: 1.74 ERA, 10.23 K/9, 0.97 WHIP
  • Joshua Garcia: 6.75 ERA, 2.25 K/9, 1.25 WHIP
  • Spenser Watkins: 4.15 ERA, 4.91 K/9, 1.38 WHIP
  • Joseph Mancini: .284 Batting Avg, .357 OBP, .421 SLG, .778 OPS, 34 Runs
  • Anthony Santander: .241 Batting Avg, .329 OBP, .425 SLG, .754 OPS, 38 Runs
  • Rougned Odor: .203 Batting Avg, .262 OBP, .394 SLG, .656 OPS, 30 Runs
  • Adley Rutschman: .221 Batting Avg, .307 OBP, .407 SLG, .714 OPS, 22 Runs
  • Ryan Mountcastle: .277 Batting Avg, .314 OBP, .491 SLG, .805 OPS, 38 Runs
  • Jorge Mateo: .197 Batting Avg, .251 OBP, .332 SLG, .583 OPS, 30 Runs
  • Ramón Urías: .238 Batting Avg, .287 OBP, .383 SLG, .670 OPS, 24 Runs
  • Boyce Mullins: .258 Batting Avg, .316 OBP, .393 SLG, .709 OPS, 46 Runs
  • Austin Hays: .261 Batting Avg, .318 OBP, .441 SLG, .759 OPS, 41 Runs

Chicago Cubs Stats

Season Stats
Team Batting AVG .246
Team OBP .322
AVG Runs Scored 4.4
Team ERA 4.66
Team WHIP 1.35
Starters ERA 4.85
Starters WHIP 1.35

Key Players for Chicago

  • David Robertson: 2.10 ERA, 11.80 K/9, 1.02 WHIP
  • Anderson Espinoza: 3.86 ERA, 10.29 K/9, 1.43 WHIP
  • Todd Smyly: 4.43 ERA, 7.06 K/9, 1.34 WHIP
  • Rafael Ortega: .259 Batting Avg, .352 OBP, .388 SLG, .740 OPS, 24 Runs
  • Nicholas Hoerner: .306 Batting Avg, .341 OBP, .429 SLG, .770 OPS, 27 Runs
  • Willson Contreras: .266 Batting Avg, .384 OBP, .483 SLG, .867 OPS, 47 Runs
  • Christopher Morel: .266 Batting Avg, .333 OBP, .482 SLG, .815 OPS, 34 Runs
  • David Bote: .280 Batting Avg, .400 OBP, .480 SLG, .880 OPS, 6 Runs
  • Patrick Wisdom: .228 Batting Avg, .319 OBP, .459 SLG, .778 OPS, 47 Runs
  • Alfonso Rivas: .236 Batting Avg, .320 OBP, .331 SLG, .651 OPS, 17 Runs
  • Ian Happ: .276 Batting Avg, .370 OBP, .448 SLG, .818 OPS, 39 Runs
  • Seiya Suzuki: .256 Batting Avg, .349 OBP, .463 SLG, .812 OPS, 23 Runs

In their first and only matchup this season on June 7, 2022, the Orioles won by a score of 9-3.

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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