Chicago Cubs vs Miami Marlins Betting Odds & Game Analysis | August 5


By Claudio Fortuna | August 5, 2022 11:41 AM

The Miami Marlins visit the Chicago Cubs at Wrigley Field, taking the field at 2:20pm ET on Friday August 5th, 2:20pm ET. The Miami Marlins are 1.5-run underdogs in the game, and the Over/Under is set at 7.5 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 Miami Marlins and Chicago Cubs.

Chicago and Miami Betting Info

  • Each of the Cubs’ last six day games against National League opponents have gone UNDER the total runs line.
  • The Marlins have won each of their last seven day games against National League opponents that held a losing record.

Miami Marlins Stats

Season Stats
Team Batting AVG .237
Team OBP .300
AVG Runs Scored 3.9
Team ERA 3.85
Team WHIP 1.24
Starters ERA 3.78
Starters WHIP 1.19

Key Players for Miami

  • Tanner Scott: 4.33 ERA, 12.78 K/9, 1.42 WHIP
  • Edward Cabrera: 3.45 ERA, 8.61 K/9, 1.21 WHIP
  • Aneurys Zabala: 0.00 ERA, 6.75 K/9, 1.50 WHIP
  • Bryan De La Cruz: .206 Batting Avg, .253 OBP, .342 SLG, .595 OPS, 22 Runs
  • Miguel Rojas: .238 Batting Avg, .284 OBP, .344 SLG, .628 OPS, 27 Runs
  • Jacob Stallings: .206 Batting Avg, .269 OBP, .261 SLG, .530 OPS, 20 Runs
  • Charles Leblanc: .353 Batting Avg, .389 OBP, .647 SLG, 1.036 OPS, 3 Runs
  • Jeffrey Bleday: .214 Batting Avg, .250 OBP, .357 SLG, .607 OPS, 4 Runs
  • Garrett Cooper: .278 Batting Avg, .346 OBP, .427 SLG, .773 OPS, 28 Runs
  • Jesús Aguilar: .243 Batting Avg, .290 OBP, .395 SLG, .685 OPS, 34 Runs
  • Joseph Wendle: .268 Batting Avg, .314 OBP, .368 SLG, .682 OPS, 15 Runs

Chicago Cubs Stats

Season Stats
Team Batting AVG .242
Team OBP .316
AVG Runs Scored 4.2
Team ERA 4.41
Team WHIP 1.34
Starters ERA 4.65
Starters WHIP 1.35

Key Players for Chicago

  • Keegan Thompson: 3.48 ERA, 8.03 K/9, 1.27 WHIP
  • Rowan Wick: 4.36 ERA, 9.14 K/9, 1.73 WHIP
  • Sean Newcomb: 12.27 ERA, 6.14 K/9, 2.18 WHIP
  • Rafael Ortega: .241 Batting Avg, .326 OBP, .361 SLG, .687 OPS, 25 Runs
  • Nelson Velazquez: .235 Batting Avg, .311 OBP, .481 SLG, .792 OPS, 14 Runs
  • Nicholas Hoerner: .292 Batting Avg, .335 OBP, .412 SLG, .747 OPS, 33 Runs
  • Willson Contreras: .253 Batting Avg, .369 OBP, .466 SLG, .835 OPS, 53 Runs
  • Patrick Wisdom: .224 Batting Avg, .319 OBP, .456 SLG, .775 OPS, 53 Runs
  • Frank J. Schwindel: .233 Batting Avg, .280 OBP, .365 SLG, .645 OPS, 23 Runs
  • Ian Happ: .273 Batting Avg, .353 OBP, .426 SLG, .779 OPS, 45 Runs
  • Seiya Suzuki: .252 Batting Avg, .327 OBP, .427 SLG, .754 OPS, 29 Runs
  • Nicklaus Madrigal: .218 Batting Avg, .265 OBP, .245 SLG, .510 OPS, 8 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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