New York Yankees vs Toronto Blue Jays Pick – 7/22/2025
The Toronto Blue Jays will host the New York Yankees at Rogers Centre on Tuesday night. The Blue Jays won the first game of this three-game series to continue their run of dominance over their AL East rivals. Toronto is favored over the Yankees again in this game with Max Scherzer on the hill. Keep reading to get my breakdown of this contest, including my Yankees vs Blue Jays prediction. Max Scherzer, at age 40, is 1-0 and has posted a 4.70 ERA over 23.2 innings. He could be a real difference maker for the Blue Jays if he can stay healthy down the stretch this season. Cam Schlittler is making just his second career start for the Yankees. He is also 1-0 but carries a 5.06 ERA. His inexperience could be costly in Canada against a dangerous Toronto lineup. Toronto closer Jeff Hoffman recorded three strikeouts in a perfect ninth inning Monday. Both bullpens performed well for the most part in Toronto’s 4-1 win on Monday night. Neither bullpen should be in any significant distress going into this game. The Blue Jays have won four games in a row coming into this contest. The Yankees had a two-game winning streak snapped at the hands of the Blue Jays last night. Score Projection: Blue Jays 5 – Yankees 4 Win Probability: Toronto 54%, New York 46% The pitching matchup in this contest is not as big a mismatch as it appears on paper. Max Scherzer is not the same pitcher he was a few years ago. But he should still be just a bit better than Schlittler in this contest. I think that Toronto holds the upper hand in this game. A strong home record and Scherzer’s veteran presence on the mound will give them an edge. Expect the Blue Jays to be five games up on the Yankees by the end of the night.Our Yankees vs Blue Jays Pick
Game Snapshot
Key Storylines
Pitching form
Bullpen usage
Recent team streaks
Best Player Props
Player Stat Pick Vladimir Guerrero Jr. Home runs Over 0.5 Aaron Judge Home runs Over 0.5 Bo Bichette Total bases Over 1.5 Betting Trends & H2H
Yankees vs Blue Jays Model Projection
Final Thoughts
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