Cincinnati Reds vs Baltimore Orioles Betting Odds & Game Analysis | July 29


By Claudio Fortuna | July 29, 2022 11:15 AM

The Baltimore Orioles visit the Cincinnati Reds at Great American Ball Park, taking the field at 6:40pm ET on Friday July 29th, 6:40pm ET. The Cincinnati Reds are 1-run underdogs in the game, and the Over/Under is set at 9.5 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 Baltimore Orioles and Cincinnati Reds.

Cincinnati and Baltimore Betting Info

  • Six of the Reds’ last seven home games against AL East opponents have gone UNDER the total runs line.
  • The Orioles have won each of their last nine games against teams that held a losing record.

Baltimore Orioles Stats

Season Stats
Team Batting AVG .234
Team OBP .302
AVG Runs Scored 4.2
Team ERA 3.91
Team WHIP 1.29
Starters ERA 4.68
Starters WHIP 1.39

Key Players for Baltimore

  • Jorge López: 1.71 ERA, 9.89 K/9, 0.99 WHIP
  • Beau Sulser: 4.15 ERA, 4.16 K/9, 2.08 WHIP
  • Austin Voth: 3.38 ERA, 8.44 K/9, 1.35 WHIP
  • Joseph Mancini: .271 Batting Avg, .346 OBP, .411 SLG, .757 OPS, 37 Runs
  • Anthony Santander: .246 Batting Avg, .330 OBP, .435 SLG, .765 OPS, 45 Runs
  • Rougned Odor: .200 Batting Avg, .262 OBP, .382 SLG, .644 OPS, 33 Runs
  • Adley Rutschman: .240 Batting Avg, .338 OBP, .436 SLG, .774 OPS, 29 Runs
  • Ryan Mountcastle: .257 Batting Avg, .296 OBP, .444 SLG, .740 OPS, 41 Runs
  • Jorge Mateo: .213 Batting Avg, .262 OBP, .367 SLG, .629 OPS, 37 Runs
  • Ramón Urías: .261 Batting Avg, .302 OBP, .454 SLG, .756 OPS, 33 Runs
  • Boyce Mullins: .260 Batting Avg, .322 OBP, .387 SLG, .709 OPS, 53 Runs
  • Austin Hays: .264 Batting Avg, .322 OBP, .441 SLG, .763 OPS, 49 Runs

Cincinnati Reds Stats

Season Stats
Team Batting AVG .240
Team OBP .309
AVG Runs Scored 4.4
Team ERA 5.17
Team WHIP 1.42
Starters ERA 5.17
Starters WHIP 1.40

Key Players for Cincinnati

  • Alexis Díaz: 1.91 ERA, 10.99 K/9, 0.96 WHIP
  • Michael Minor: 6.65 ERA, 8.02 K/9, 1.61 WHIP
  • George Farmer: 4.50 ERA, 12.15 K/9, 1.50 WHIP
  • Matthew Reynolds: .264 Batting Avg, .335 OBP, .368 SLG, .703 OPS, 29 Runs
  • Jonathan India: .235 Batting Avg, .301 OBP, .374 SLG, .675 OPS, 21 Runs
  • James Farmer: .254 Batting Avg, .326 OBP, .383 SLG, .709 OPS, 36 Runs
  • Michael Moustakas: .212 Batting Avg, .300 OBP, .349 SLG, .649 OPS, 26 Runs
  • Michael Papierski: .158 Batting Avg, .273 OBP, .158 SLG, .431 OPS, 5 Runs
  • Nicholas Senzel: .253 Batting Avg, .311 OBP, .322 SLG, .633 OPS, 33 Runs
  • Brandon Drury: .271 Batting Avg, .332 OBP, .515 SLG, .847 OPS, 61 Runs
  • Joseph Votto: .211 Batting Avg, .322 OBP, .375 SLG, .697 OPS, 26 Runs
  • Thomas Pham: .245 Batting Avg, .325 OBP, .385 SLG, .710 OPS, 57 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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