Los Angeles Dodgers vs San Francisco Giants Betting Odds & Game Analysis | May 3
The San Francisco Giants visit the Los Angeles Dodgers at Dodger Stadium, taking the field at 10:10pm ET on Tuesday May 3rd, 10:10pm ET. The San Francisco Giants 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 San Francisco Giants and Los Angeles Dodgers.
Los Angeles and San Francisco Betting Info
- Each of the Dodgers’ last six night games against NL West opponents have gone UNDER the total runs line.
- The Dodgers have won each of their last seven home games against NL West opponents following a home win.
San Francisco Giants Stats
Season Stats | |
---|---|
Team Batting AVG | .237 |
Team OBP | .315 |
AVG Runs Scored | 5.0 |
Team ERA | 3.06 |
Team WHIP | 1.22 |
Starters ERA | 3.51 |
Starters WHIP | 1.31 |
Key Players for San Francisco
- Tyler Rogers: 1.86 ERA, 8.38 K/9, 0.72 WHIP
- Camilo Doval: 2.61 ERA, 12.20 K/9, 1.26 WHIP
- Logan Webb: 3.26 ERA, 5.93 K/9, 1.29 WHIP
- Brandon Crawford: .224 Batting Avg, .322 OBP, .316 SLG, .638 OPS, 11 Runs
- Joc Pederson: .353 Batting Avg, .382 OBP, .745 SLG, 1.127 OPS, 11 Runs
- Darin Ruf: .181 Batting Avg, .292 OBP, .205 SLG, .497 OPS, 7 Runs
- Luis González: .276 Batting Avg, .324 OBP, .414 SLG, .738 OPS, 5 Runs
- Jason Vosler: .286 Batting Avg, .364 OBP, .536 SLG, .900 OPS, 5 Runs
- Thairo Estrada: .235 Batting Avg, .276 OBP, .358 SLG, .634 OPS, 15 Runs
- Joseph Bart: .205 Batting Avg, .352 OBP, .432 SLG, .784 OPS, 8 Runs
- Wilmer Flores: .267 Batting Avg, .341 OBP, .413 SLG, .754 OPS, 12 Runs
Los Angeles Dodgers Stats
Season Stats | |
---|---|
Team Batting AVG | .237 |
Team OBP | .321 |
AVG Runs Scored | 4.9 |
Team ERA | 2.33 |
Team WHIP | 0.94 |
Starters ERA | 2.01 |
Starters WHIP | 0.99 |
Key Players for Los Angeles
- Craig Kimbrel: 1.59 ERA, 7.94 K/9, 0.88 WHIP
- Clayton Kershaw: 2.35 ERA, 11.74 K/9, 0.70 WHIP
- Daniel Hudson: 1.35 ERA, 10.80 K/9, 0.75 WHIP
- Justin Turner: .187 Batting Avg, .232 OBP, .267 SLG, .499 OPS, 8 Runs
- Christopher Taylor: .288 Batting Avg, .355 OBP, .439 SLG, .794 OPS, 7 Runs
- Cody Bellinger: .208 Batting Avg, .274 OBP, .442 SLG, .716 OPS, 8 Runs
- Maxwell Muncy: .136 Batting Avg, .313 OBP, .273 SLG, .586 OPS, 7 Runs
- Trea Turner: .263 Batting Avg, .315 OBP, .375 SLG, .690 OPS, 9 Runs
- Gavin Lux: .259 Batting Avg, .349 OBP, .370 SLG, .719 OPS, 11 Runs
- William Smith: .255 Batting Avg, .356 OBP, .431 SLG, .787 OPS, 9 Runs
- Frederick Freeman: .309 Batting Avg, .387 OBP, .481 SLG, .868 OPS, 14 Runs
- Markus Betts: .231 Batting Avg, .348 OBP, .372 SLG, .720 OPS, 21 Runs
The Dodgers and Giants haven’t met since last season on October 14, 2021, where the Los Angeles Dodgers won by a score of 2-1.
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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