San Francisco Giants vs New York Mets Betting Odds & Game Analysis | May 23


By Ed Winchester | May 23, 2022 9:54 AM

The New York Mets visit the San Francisco Giants at Oracle Park, taking the field at 9:45pm ET on Monday May 23rd, 9:45pm ET. The New York Mets 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 New York Mets and San Francisco Giants.

San Francisco and New York Betting Info

  • The Giants have lost each of their last four games as favorites.
  • Each of the Giants’ last seven night games against National League opponents have gone OVER the total runs line.

New York Mets Stats

Season Stats
Team Batting AVG .253
Team OBP .328
AVG Runs Scored 4.5
Team ERA 3.41
Team WHIP 1.14
Starters ERA 3.27
Starters WHIP 1.10

Key Players for New York

  • Edwin Díaz: 2.00 ERA, 17.00 K/9, 1.06 WHIP
  • Jacob Lugo: 4.24 ERA, 9.53 K/9, 1.29 WHIP
  • Christopher Bassitt: 2.77 ERA, 9.06 K/9, 1.09 WHIP
  • Peter Alonso: .279 Batting Avg, .349 OBP, .503 SLG, .852 OPS, 24 Runs
  • Dominic Smith: .189 Batting Avg, .274 OBP, .243 SLG, .517 OPS, 6 Runs
  • Starling Marte: .270 Batting Avg, .312 OBP, .419 SLG, .731 OPS, 21 Runs
  • Eduardo Escobar: .203 Batting Avg, .307 OBP, .336 SLG, .643 OPS, 17 Runs
  • Brandon Nimmo: .293 Batting Avg, .390 OBP, .450 SLG, .840 OPS, 25 Runs
  • Francisco Lindor: .239 Batting Avg, .335 OBP, .387 SLG, .722 OPS, 27 Runs
  • Mark Canha: .284 Batting Avg, .368 OBP, .376 SLG, .744 OPS, 17 Runs
  • Tomás Nido: .200 Batting Avg, .221 OBP, .231 SLG, .452 OPS, 2 Runs
  • Jeff McNeil: .306 Batting Avg, .356 OBP, .422 SLG, .778 OPS, 18 Runs

San Francisco Giants Stats

Season Stats
Team Batting AVG .244
Team OBP .326
AVG Runs Scored 5.0
Team ERA 4.05
Team WHIP 1.32
Starters ERA 4.24
Starters WHIP 1.35

Key Players for San Francisco

  • Tyler Rogers: 3.78 ERA, 5.40 K/9, 1.14 WHIP
  • Carlos Rodón: 3.43 ERA, 12.49 K/9, 1.16 WHIP
  • Camilo Doval: 2.70 ERA, 11.88 K/9, 1.26 WHIP
  • LaMonte Wade Jr.: .240 Batting Avg, .375 OBP, .360 SLG, .735 OPS, 4 Runs
  • Brandon Crawford: .210 Batting Avg, .301 OBP, .326 SLG, .627 OPS, 20 Runs
  • Michael Yastrzemski: .300 Batting Avg, .390 OBP, .470 SLG, .860 OPS, 17 Runs
  • Joc Pederson: .234 Batting Avg, .302 OBP, .489 SLG, .791 OPS, 13 Runs
  • Thomas La Stella: .267 Batting Avg, .313 OBP, .667 SLG, .980 OPS, 2 Runs
  • Evan Longoria: .156 Batting Avg, .156 OBP, .188 SLG, .344 OPS, 1 Run
  • Darin Ruf: .238 Batting Avg, .367 OBP, .346 SLG, .713 OPS, 22 Runs
  • Thairo Estrada: .269 Batting Avg, .301 OBP, .379 SLG, .680 OPS, 24 Runs
  • Joseph Bart: .162 Batting Avg, .303 OBP, .338 SLG, .641 OPS, 11 Runs

The Giants and Mets have met four times this season, with the Giants winning once and the Mets winning three times. Their most recent matchup on April 21, 2022 ended 6-2 with the New York Mets 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.