San Francisco Giants vs Milwaukee Brewers Betting Odds & Game Analysis | July 14


By Claudio Fortuna | July 14, 2022 1:35 PM

The Milwaukee Brewers visit the San Francisco Giants at Oracle Park, taking the field at 9:45pm ET on Thursday July 14th, 9:45pm 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 Milwaukee Brewers and San Francisco Giants.

San Francisco and Milwaukee Betting Info

  • Five of the Brewers’ last six games have gone UNDER the total runs line.
  • The Brewers have won each of their last six road games following a loss.

Milwaukee Brewers Stats

Season Stats
Team Batting AVG .235
Team OBP .314
AVG Runs Scored 4.5
Team ERA 3.78
Team WHIP 1.24
Starters ERA 3.90
Starters WHIP 1.26

Key Players for Milwaukee

  • Eric Lauer: 3.83 ERA, 9.68 K/9, 1.20 WHIP
  • Josh Hader: 2.73 ERA, 15.78 K/9, 0.98 WHIP
  • Pedro Severino: .286 Batting Avg, .375 OBP, .571 SLG, .946 OPS, 0 Runs
  • Willy Adames: .215 Batting Avg, .288 OBP, .475 SLG, .763 OPS, 46 Runs
  • Jace Peterson: .252 Batting Avg, .325 OBP, .447 SLG, .772 OPS, 32 Runs
  • Christian Yelich: .250 Batting Avg, .345 OBP, .383 SLG, .728 OPS, 56 Runs
  • Andrew McCutchen: .256 Batting Avg, .320 OBP, .391 SLG, .711 OPS, 37 Runs
  • Ryan Tellez: .227 Batting Avg, .302 OBP, .458 SLG, .760 OPS, 33 Runs
  • Jonathan Davis: .217 Batting Avg, .333 OBP, .239 SLG, .572 OPS, 6 Runs
  • Kolten Wong: .227 Batting Avg, .314 OBP, .391 SLG, .705 OPS, 34 Runs

San Francisco Giants Stats

Season Stats
Team Batting AVG .238
Team OBP .321
AVG Runs Scored 4.8
Team ERA 3.92
Team WHIP 1.27
Starters ERA 3.70
Starters WHIP 1.20

Key Players for San Francisco

  • Alexander Cobb: 4.57 ERA, 9.00 K/9, 1.38 WHIP
  • Camilo Doval: 3.19 ERA, 11.04 K/9, 1.25 WHIP
  • Yunior Marte: 5.40 ERA, 7.48 K/9, 1.48 WHIP
  • LaMonte Wade Jr.: .180 Batting Avg, .292 OBP, .295 SLG, .587 OPS, 6 Runs
  • Robert Wynns: .226 Batting Avg, .279 OBP, .306 SLG, .585 OPS, 6 Runs
  • Brandon Crawford: .218 Batting Avg, .303 OBP, .339 SLG, .642 OPS, 29 Runs
  • Michael Yastrzemski: .235 Batting Avg, .332 OBP, .408 SLG, .740 OPS, 39 Runs
  • Joc Pederson: .253 Batting Avg, .332 OBP, .524 SLG, .856 OPS, 35 Runs
  • Thairo Estrada: .262 Batting Avg, .314 OBP, .426 SLG, .740 OPS, 45 Runs
  • Brandon Belt: .239 Batting Avg, .354 OBP, .415 SLG, .769 OPS, 21 Runs
  • Wilmer Flores: .254 Batting Avg, .340 OBP, .452 SLG, .792 OPS, 45 Runs

In their first and only matchup this season on April 25, 2022, the Giants won by a score of 4-2.

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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