Tampa Bay Rays
77-85
Pitchers not announced.
Toronto Blue Jays
94-68
Pitchers not announced.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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Tampa Bay Rays (undefined) vs. Toronto Blue Jays (--)
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Toronto Blue Jays
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Tampa Bay Rays vsToronto Blue Jays Prediction

In a matchup between two AL East rivals, the Toronto Blue Jays and the Tampa Bay Rays, the Blue Jays seem to have the edge heading into the game. With a solid home record of 42-36 this season, the Blue Jays are considered favorites against a Rays team that has a respectable road record of 44-33. According to 10,000 game simulations conducted by the AccuScore Simulation Supercomputer, the Blue Jays have a better than 55% chance of coming out on top in this contest.

On the mound, it is expected that Yusei Kikuchi will have a stronger performance than Aaron Civale. Kikuchi has a 44% chance of a Quality Start (QS), while Civale's chances sit slightly lower at 38%. Interestingly, when Kikuchi achieves a quality start, the Blue Jays' chances of winning increase to an impressive 75%. Additionally, Kikuchi's simulated strikeout to walk ratio stands at 5.3, and he possesses a 38% chance of maintaining a stellar 5 to 1 K/BB ratio. When Kikuchi achieves this ratio, the Blue Jays' win percentage rises to 55%. Conversely, in simulations where Civale has a quality start for the Rays, their chances of winning jump to 71%. Civale also has a 22% chance of achieving a 5 to 1 K/BB ratio, in which case his team wins around three-quarters of simulations.

Taking a closer look at the batters in this matchup, Davis Schneider emerges as the most productive player for the Toronto Blue Jays based on average hits, walks, and RBI per simulation. With an impressive average of 2.45 hits+walks+RBI, Schneider holds a significant impact on his team's performance. He has a notable 41% chance of having a big game with three or more hits, walks, and RBI. When Schneider achieves a big game, the Blue Jays' chances of victory rise to 67%. On the other side, Yandy Diaz is the most productive batter for the Tampa Bay Rays, averaging 2.26 hits+walks+RBI per simulation. With a 38% chance of having a big game, in which he contributes heavily to the offense, the Rays see their win probability increase to 55%.

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Schedule Summary
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Total Games: 0Record: 0-0 ATS Record: 0-0-0O/U Record: 0-0-0
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