Chicago Cubs vs New York Mets Betting Odds & Game Analysis | July 14


By Claudio Fortuna | July 14, 2022 11:37 AM

The New York Mets visit the Chicago Cubs at Wrigley Field, taking the field at 8:05pm ET on Thursday July 14th, 8:05pm ET. The Chicago Cubs are 1-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 New York Mets and Chicago Cubs.

Chicago and New York Betting Info

  • Four of the last five games between the Mets and Cubs have gone UNDER the total runs line.
  • The underdogs have won each of the Cubs’ last five games at Wrigley Field.

New York Mets Stats

Season Stats
Team Batting AVG .254
Team OBP .324
AVG Runs Scored 4.7
Team ERA 3.73
Team WHIP 1.19
Starters ERA 3.83
Starters WHIP 1.17

Key Players for New York

  • Edwin Díaz: 1.73 ERA, 18.08 K/9, 1.02 WHIP
  • Colin Holderman: 2.25 ERA, 9.57 K/9, 1.13 WHIP
  • David Peterson: 3.48 ERA, 10.16 K/9, 1.25 WHIP
  • Peter Alonso: .268 Batting Avg, .343 OBP, .521 SLG, .864 OPS, 48 Runs
  • Eduardo Escobar: .217 Batting Avg, .273 OBP, .387 SLG, .660 OPS, 35 Runs
  • Brandon Nimmo: .269 Batting Avg, .355 OBP, .430 SLG, .785 OPS, 54 Runs
  • Francisco Lindor: .244 Batting Avg, .317 OBP, .433 SLG, .750 OPS, 52 Runs
  • Jonathan Davis: .240 Batting Avg, .328 OBP, .353 SLG, .681 OPS, 25 Runs
  • Mark Canha: .273 Batting Avg, .371 OBP, .383 SLG, .754 OPS, 40 Runs
  • Luis Guillorme: .308 Batting Avg, .382 OBP, .389 SLG, .771 OPS, 24 Runs
  • Tomás Nido: .211 Batting Avg, .256 OBP, .236 SLG, .492 OPS, 14 Runs

Chicago Cubs Stats

Season Stats
Team Batting AVG .245
Team OBP .320
AVG Runs Scored 4.3
Team ERA 4.67
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
  • Mark Leiter Jr.: 5.14 ERA, 9.26 K/9, 1.26 WHIP
  • Justin Steele: 4.15 ERA, 8.64 K/9, 1.41 WHIP
  • Rafael Ortega: .251 Batting Avg, .342 OBP, .377 SLG, .719 OPS, 24 Runs
  • Nicholas Hoerner: .304 Batting Avg, .338 OBP, .427 SLG, .765 OPS, 28 Runs
  • Willson Contreras: .262 Batting Avg, .377 OBP, .473 SLG, .850 OPS, 47 Runs
  • Christopher Morel: .267 Batting Avg, .336 OBP, .490 SLG, .826 OPS, 35 Runs
  • David Bote: .286 Batting Avg, .394 OBP, .464 SLG, .858 OPS, 6 Runs
  • Patrick Wisdom: .227 Batting Avg, .321 OBP, .453 SLG, .774 OPS, 47 Runs
  • Alfonso Rivas: .235 Batting Avg, .316 OBP, .327 SLG, .643 OPS, 17 Runs
  • Ian Happ: .280 Batting Avg, .373 OBP, .457 SLG, .830 OPS, 40 Runs
  • Seiya Suzuki: .256 Batting Avg, .345 OBP, .452 SLG, .797 OPS, 23 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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