San Francisco Giants vs Los Angeles Dodgers Betting Odds & Game Analysis | June 10


By Claudio Fortuna | June 10, 2022 12:52 PM

The Los Angeles Dodgers visit the San Francisco Giants at Oracle Park, taking the field at 10:15pm ET on Friday June 10th, 10:15pm ET. The San Francisco Giants are 1-run underdogs in the game, and the Over/Under is set at 9 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 Los Angeles Dodgers and San Francisco Giants.

San Francisco and Los Angeles Betting Info

  • Six of the Dodgers’ last seven road games against NL West opponents have gone UNDER the total runs line.
  • The Dodgers have won each of their last 10 games against NL West opponents.

Los Angeles Dodgers Stats

Season Stats
Team Batting AVG .250
Team OBP .332
AVG Runs Scored 5.4
Team ERA 2.99
Team WHIP 1.10
Starters ERA 2.65
Starters WHIP 1.07

Key Players for Los Angeles

  • Phillip Bickford: 4.67 ERA, 6.75 K/9, 1.21 WHIP
  • David Price: 4.50 ERA, 12.00 K/9, 1.67 WHIP
  • Justin Turner: .215 Batting Avg, .288 OBP, .359 SLG, .647 OPS, 24 Runs
  • Christopher Taylor: .251 Batting Avg, .329 OBP, .443 SLG, .772 OPS, 25 Runs
  • Cody Bellinger: .211 Batting Avg, .286 OBP, .405 SLG, .691 OPS, 25 Runs
  • Trea Turner: .302 Batting Avg, .358 OBP, .477 SLG, .835 OPS, 30 Runs
  • Gavin Lux: .290 Batting Avg, .373 OBP, .364 SLG, .737 OPS, 32 Runs
  • William Smith: .235 Batting Avg, .344 OBP, .412 SLG, .756 OPS, 23 Runs
  • Frederick Freeman: .290 Batting Avg, .371 OBP, .446 SLG, .817 OPS, 37 Runs
  • Markus Betts: .289 Batting Avg, .366 OBP, .560 SLG, .926 OPS, 52 Runs

San Francisco Giants Stats

Season Stats
Team Batting AVG .242
Team OBP .322
AVG Runs Scored 5.0
Team ERA 4.22
Team WHIP 1.29
Starters ERA 4.08
Starters WHIP 1.27

Key Players for San Francisco

  • Jakob Junis: 2.51 ERA, 7.33 K/9, 0.93 WHIP
  • Camilo Doval: 3.04 ERA, 9.89 K/9, 1.23 WHIP
  • Samuel Long: 2.35 ERA, 5.87 K/9, 1.04 WHIP
  • Brandon Crawford: .223 Batting Avg, .308 OBP, .363 SLG, .671 OPS, 24 Runs
  • Michael Yastrzemski: .280 Batting Avg, .386 OBP, .459 SLG, .845 OPS, 29 Runs
  • Joc Pederson: .259 Batting Avg, .333 OBP, .566 SLG, .899 OPS, 24 Runs
  • Thomas La Stella: .230 Batting Avg, .266 OBP, .426 SLG, .692 OPS, 7 Runs
  • Curtis Casali: .235 Batting Avg, .308 OBP, .420 SLG, .728 OPS, 11 Runs
  • Evan Longoria: .230 Batting Avg, .288 OBP, .473 SLG, .761 OPS, 8 Runs
  • Luis González: .314 Batting Avg, .372 OBP, .430 SLG, .802 OPS, 13 Runs
  • Wilmer Flores: .255 Batting Avg, .318 OBP, .427 SLG, .745 OPS, 30 Runs
  • Donovan Walton: .176 Batting Avg, .192 OBP, .373 SLG, .565 OPS, 7 Runs

The Giants and Dodgers have met twice this season, with the Giants winning none and the Dodgers winning twice. Their most recent matchup on May 4, 2022 ended 9-1 with the Los Angeles Dodgers 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.

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