New York Mets vs Chicago Cubs Betting Odds & Game Analysis | September 13


By Claudio Fortuna | September 13, 2022 1:12 PM

The Chicago Cubs visit the New York Mets at Citi Field, taking the field at 7:10pm ET on Tuesday September 13th, 7:10pm ET. The Chicago Cubs are 1.5-run underdogs in the game, and the Over/Under is set at 6.5 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 Chicago Cubs and New York Mets.

New York and Chicago Betting Info

  • Each of the Cubs’ last six games have gone UNDER the total runs line.
  • The Cubs have won each of their last six games as underdogs against NL East opponents.

Chicago Cubs Stats

Season Stats
Team Batting AVG .241
Team OBP .313
AVG Runs Scored 4.1
Team ERA 4.28
Team WHIP 1.33
Starters ERA 4.23
Starters WHIP 1.32

Key Players for Chicago

  • Brandon Hughes: 3.24 ERA, 10.98 K/9, 1.02 WHIP
  • Manuel Rodríguez: 3.86 ERA, 6.43 K/9, 1.71 WHIP
  • Hayden Wesneski: 3.12 ERA, 11.42 K/9, 0.92 WHIP
  • Rafael Ortega: .238 Batting Avg, .329 OBP, .356 SLG, .685 OPS, 35 Runs
  • Yan Gomes: .233 Batting Avg, .264 OBP, .358 SLG, .622 OPS, 20 Runs
  • Nicholas Hoerner: .291 Batting Avg, .338 OBP, .421 SLG, .759 OPS, 51 Runs
  • David Bote: .239 Batting Avg, .292 OBP, .328 SLG, .620 OPS, 9 Runs
  • Franmil Reyes: .269 Batting Avg, .313 OBP, .454 SLG, .767 OPS, 12 Runs
  • Patrick Wisdom: .213 Batting Avg, .307 OBP, .432 SLG, .739 OPS, 60 Runs
  • Alfonso Rivas: .243 Batting Avg, .326 OBP, .329 SLG, .655 OPS, 24 Runs
  • Ian Happ: .271 Batting Avg, .345 OBP, .451 SLG, .796 OPS, 64 Runs
  • Seiya Suzuki: .263 Batting Avg, .333 OBP, .436 SLG, .769 OPS, 47 Runs

New York Mets Stats

Season Stats
Team Batting AVG .259
Team OBP .330
AVG Runs Scored 4.7
Team ERA 3.54
Team WHIP 1.20
Starters ERA 3.49
Starters WHIP 1.16

Key Players for New York

  • Edwin Díaz: 1.50 ERA, 17.00 K/9, 0.89 WHIP
  • Alexander Claudio: 0.00 ERA, 4.50 K/9, 1.00 WHIP
  • David Peterson: 3.47 ERA, 10.67 K/9, 1.33 WHIP
  • Peter Alonso: .268 Batting Avg, .343 OBP, .500 SLG, .843 OPS, 76 Runs
  • Eduardo Escobar: .240 Batting Avg, .291 OBP, .433 SLG, .724 OPS, 49 Runs
  • Brandon Nimmo: .265 Batting Avg, .354 OBP, .424 SLG, .778 OPS, 86 Runs
  • Francisco Lindor: .269 Batting Avg, .346 OBP, .449 SLG, .795 OPS, 87 Runs
  • Mark Canha: .272 Batting Avg, .370 OBP, .418 SLG, .788 OPS, 63 Runs
  • Daniel Vogelbach: .230 Batting Avg, .370 OBP, .398 SLG, .768 OPS, 13 Runs
  • Tyler Naquin: .235 Batting Avg, .295 OBP, .481 SLG, .776 OPS, 13 Runs
  • James McCann: .210 Batting Avg, .272 OBP, .294 SLG, .566 OPS, 16 Runs
  • Jeff McNeil: .321 Batting Avg, .372 OBP, .450 SLG, .822 OPS, 60 Runs

In the last 5 matchups between the Mets and Cubs, the Mets won three times and the Cubs won twice. Their most recent matchup on September 12, 2022 ended 5-2 with the Chicago Cubs 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.

BestOdds is the ultimate website for bettors new and old alike. We offer not just educational content but the latest news and best MLB Odds across legal sportsbooks.

Sign up for BestOdds’ Newsletter

The most entertaining betting analysis and cherry-picked insights in your inbox.