Yankees vs. Orioles odds, line, prediction: 2022 MLB picks, April 17 best bets from proven computer model

Written by on April 17, 2022

Yankees vs. Orioles odds, line, prediction: 2022 MLB picks, April 17 best bets from proven computer model

The Baltimore Orioles and New York Yankees will be trying to get their bats going on Sunday when they wrap up a three-game series at Oriole Park. They have struggled at the plate to start the season but are getting strong pitching and defense. Both teams are expected to start 27-year-old left-handers, with New York going with Nestor Cortes and Baltimore countering with Bruce Zimmermann. Both pitchers allowed three hits and zero runs in abbreviated starts earlier in the week. 

First pitch in Baltimore is scheduled for 1:05 p.m. ET. New York is listed as a -185 favorite (risk $185 to win $100) on the money line in the latest Yankees vs. Orioles odds from Caesars Sportsbook, while the over-under for total runs scored is 8.5. Before making any Orioles vs. Yankees picks, you need to check out the latest MLB predictions and betting advice from the SportsLine Projection Model.

This model, which simulates every game 10,000 times, enters Week 2 of the 2022 season on a 216-181 roll on top-rated MLB money-line picks that dates back to last season, returning over $900 for $100 players. Anyone following it has seen huge returns.

Now, the model has locked in on Yankees vs. Orioles, and just locked in its picks and MLB predictions. You can visit SportsLine now to see the model’s picks. Here are the MLB odds and trends for Orioles vs. Yankees:

  • Yankees vs. Orioles money line: New York -185, Baltimore +165
  • Yankees vs. Orioles over-under: 8.5 runs
  • Yankees vs. Orioles run line: New York -1.5 (-115)
  • NYY: Aaron Judge hit nine home runs against the Orioles in 2021
  • BAL: Ryan Mountcastle had 33 home runs and 89 RBI last season

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Why you should back the Yankees

New York has the hitters to do a lot of damage but needs to get them going. Giancarlo Stanton entered Saturday’s game hitting .300 with two homers and nine RBI, but both homers came in the first two games. Anthony Rizzo had three homers (also two in the first two games), and Aaron Judge had a homer and one RBI. Those three combined for 96 homers last season, and Joey Gallo hit 38. Gallo entered Saturday hitting .167 with 10 strikeouts in 24 at-bats.

Cortes had a 2.90 ERA and 1.08 WHIP last season, striking out 103 in 93 innings with a strikeout/walk ratio of 4.1. He got off to a solid start Tuesday in a 4-0 Yankees win against the Blue Jays, pitching just 4 1/3 innings but allowing three hits and no runs while striking out five and walking none. The Yankees are 18-12 against the Orioles over the last three seasons.

Why you should back the Orioles

Baltimore had won four of the past six meetings entering Saturday’s game, and Zimmermann also got a promising start to his season. He went just four innings in Monday’s 2-0 win against the Brewers, striking out four and walking two. He went 3-2 with a 3.89 ERA in home games last season, striking out 31 in 34 2/3 innings over seven appearances (six starts). 

Baltimore’s rebuild has brought in talent, including 1B Ryan Mountcastle and OFs Cedric Mullins and Austin Hays. Mullins was an All-Star last season and had a team-high six RBI entering the weekend, and Mountcastle had seven hits and three RBI. Hays is a star in the making and had 22 homers last season, and Anthony Santander rounds out a strong outfield. 

How to make Orioles vs. Yankees picks

SportsLine’s model is leaning over on the run total, as the simulation suggests the teams will combine for 9.2 runs. It also says one side of the money line has all the value. You can only get the model’s pick at SportsLine

So who wins Yankees vs. Orioles? And which side of the money line has all the value? Visit SportsLine now to see which side to jump on, all from the advanced model that has crushed its top-rated MLB picks, and find out.

The post Yankees vs. Orioles odds, line, prediction: 2022 MLB picks, April 17 best bets from proven computer model first appeared on CBS Sports.


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