New York Mets vs Milwaukee Brewers Betting Odds & Game Analysis | June 16
The Milwaukee Brewers visit the New York Mets at Citi Field, taking the field at 7:10pm ET on Thursday June 16th, 7:10pm ET. The Milwaukee Brewers 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 Milwaukee Brewers and New York Mets.
New York and Milwaukee Betting Info
- Eight of the Mets’ last 10 home games have gone OVER the total runs line.
- The Mets have won each of their last 12 games at Citi Field following a loss.
Milwaukee Brewers Stats
| Season Stats | |
|---|---|
| Team Batting AVG | .231 |
| Team OBP | .306 |
| AVG Runs Scored | 4.3 |
| Team ERA | 3.71 |
| Team WHIP | 1.25 |
| Starters ERA | 3.71 |
| Starters WHIP | 1.27 |
Key Players for Milwaukee
- Hoby Milner: 2.46 ERA, 6.66 K/9, 1.13 WHIP
- Dustin Renfroe: .246 Batting Avg, .294 OBP, .462 SLG, .756 OPS, 24 Runs
- Willy Adames: .208 Batting Avg, .292 OBP, .465 SLG, .757 OPS, 28 Runs
- Jace Peterson: .225 Batting Avg, .302 OBP, .430 SLG, .732 OPS, 24 Runs
- Christian Yelich: .242 Batting Avg, .327 OBP, .377 SLG, .704 OPS, 38 Runs
- Lorenzo Cain: .176 Batting Avg, .229 OBP, .232 SLG, .461 OPS, 17 Runs
- Andrew McCutchen: .231 Batting Avg, .289 OBP, .327 SLG, .616 OPS, 21 Runs
- Ryan Tellez: .248 Batting Avg, .312 OBP, .457 SLG, .769 OPS, 21 Runs
- Mark Mathias: .154 Batting Avg, .154 OBP, .385 SLG, .539 OPS, 2 Runs
- Omar Narváez: .284 Batting Avg, .371 OBP, .414 SLG, .785 OPS, 11 Runs
New York Mets Stats
| Season Stats | |
|---|---|
| Team Batting AVG | .263 |
| Team OBP | .334 |
| AVG Runs Scored | 5.0 |
| Team ERA | 3.87 |
| Team WHIP | 1.22 |
| Starters ERA | 3.94 |
| Starters WHIP | 1.21 |
Key Players for New York
- Edwin Díaz: 2.13 ERA, 17.06 K/9, 1.07 WHIP
- Yoan López: 9.00 ERA, 12.00 K/9, 1.67 WHIP
- Jacob Reed: 16.62 ERA, 8.31 K/9, 2.31 WHIP
- Peter Alonso: .284 Batting Avg, .363 OBP, .551 SLG, .914 OPS, 41 Runs
- Starling Marte: .284 Batting Avg, .329 OBP, .446 SLG, .775 OPS, 39 Runs
- Eduardo Escobar: .236 Batting Avg, .301 OBP, .397 SLG, .698 OPS, 29 Runs
- Brandon Nimmo: .272 Batting Avg, .372 OBP, .427 SLG, .799 OPS, 36 Runs
- Francisco Lindor: .242 Batting Avg, .321 OBP, .406 SLG, .727 OPS, 40 Runs
- Jonathan Davis: .261 Batting Avg, .343 OBP, .378 SLG, .721 OPS, 18 Runs
- Mark Canha: .294 Batting Avg, .373 OBP, .389 SLG, .762 OPS, 28 Runs
- Luis Guillorme: .316 Batting Avg, .407 OBP, .385 SLG, .792 OPS, 20 Runs
- Tomás Nido: .239 Batting Avg, .270 OBP, .266 SLG, .536 OPS, 9 Runs
The Mets and Brewers have met twice this season, with the Mets winning once and the Brewers winning once. Their most recent matchup on June 15, 2022 ended 10-2 with the Milwaukee Brewers 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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About the author
He has been involved in the sports betting industry for years as a producer and handicapper specifically focusing on the EPL and other football league...
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