Minnesota Twins vs Milwaukee Brewers Betting Odds & Game Analysis | July 12


By Claudio Fortuna | July 12, 2022 11:37 AM

The Milwaukee Brewers visit the Minnesota Twins at Target Field, taking the field at 7:40pm ET on Tuesday July 12th, 7:40pm ET. The Milwaukee Brewers are 1-run underdogs in the game, and the Over/Under is set at 9.5 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 Minnesota Twins.

Minnesota and Milwaukee Betting Info

  • The underdogs have won four of the Brewers’ last five games.
  • Each of the Twins’ last five games have gone OVER the total runs line.

Milwaukee Brewers Stats

Season Stats
Team Batting AVG .237
Team OBP .316
AVG Runs Scored 4.6
Team ERA 3.79
Team WHIP 1.24
Starters ERA 3.92
Starters WHIP 1.25

Key Players for Milwaukee

  • Josh Hader: 1.88 ERA, 15.38 K/9, 0.91 WHIP
  • Alexander González: 6.35 ERA, 6.35 K/9, 1.41 WHIP
  • Jason Alexander: 4.75 ERA, 4.25 K/9, 1.72 WHIP
  • Pedro Severino: .167 Batting Avg, .167 OBP, .333 SLG, .500 OPS, 0 Runs
  • Willy Adames: .217 Batting Avg, .289 OBP, .472 SLG, .761 OPS, 44 Runs
  • Jace Peterson: .245 Batting Avg, .314 OBP, .430 SLG, .744 OPS, 30 Runs
  • Christian Yelich: .250 Batting Avg, .345 OBP, .383 SLG, .728 OPS, 56 Runs
  • Andrew McCutchen: .253 Batting Avg, .318 OBP, .381 SLG, .699 OPS, 35 Runs
  • Ryan Tellez: .230 Batting Avg, .306 OBP, .467 SLG, .773 OPS, 33 Runs
  • Jonathan Davis: .220 Batting Avg, .347 OBP, .244 SLG, .591 OPS, 5 Runs
  • Kolten Wong: .235 Batting Avg, .324 OBP, .406 SLG, .730 OPS, 34 Runs

Minnesota Twins Stats

Season Stats
Team Batting AVG .254
Team OBP .324
AVG Runs Scored 4.6
Team ERA 3.78
Team WHIP 1.23
Starters ERA 3.77
Starters WHIP 1.21

Key Players for Minnesota

  • Jhoan Duran: 2.54 ERA, 11.08 K/9, 0.92 WHIP
  • Josh Winder: 3.12 ERA, 6.02 K/9, 1.24 WHIP
  • Jharel Cotton: 2.73 ERA, 8.20 K/9, 1.22 WHIP
  • Alexander González: 7.71 ERA, 5.14 K/9, 1.71 WHIP
  • Jose Miranda: .250 Batting Avg, .291 OBP, .442 SLG, .733 OPS, 14 Runs
  • Jorge Polanco: .242 Batting Avg, .341 OBP, .422 SLG, .763 OPS, 37 Runs
  • Byron Buxton: .215 Batting Avg, .295 OBP, .550 SLG, .845 OPS, 48 Runs
  • Giovanny Urshela: .267 Batting Avg, .313 OBP, .415 SLG, .728 OPS, 33 Runs
  • Gary Sánchez: .221 Batting Avg, .281 OBP, .421 SLG, .702 OPS, 27 Runs
  • Kyle Garlick: .272 Batting Avg, .326 OBP, .506 SLG, .832 OPS, 12 Runs
  • Maximilian Kepler: .244 Batting Avg, .350 OBP, .401 SLG, .751 OPS, 37 Runs
  • Carlos Correa: .278 Batting Avg, .351 OBP, .452 SLG, .803 OPS, 37 Runs

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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