Toronto Blue Jays

Toronto Blue Jays vs Tampa Bay Rays Prediction, Odds and Picks for Today, 05/05/26

Tropicana FieldRAYS, SN1
Blue Jays
16-19
Blue Jays
Today
Rays
22-12
Rays
Tampa Bay Rays
Google News

Blue Jays vs Rays Pickswise Expert Predictions

Money Line Pick
TB Rays Win(-130)

The Toronto Blue Jays will look to bounce back following a 5-1 loss to the Tampa Bay Rays. Offensively, the Blue Jays are averaging 4.3 runs per game and hitting .242 in their last 10 games. The Rays are averaging 3.6 runs per game and hitting .242 in that same span. Taking the mound for Toronto will be Kevin Gausman, who is 2-2 with a 3.10 ERA and a 0.96 WHIP through 7 starts. Gausman is coming off his worst start of the season against the Twins in which he allowed 4 runs on 4 hits in 5.2 innings pitched. For the Rays, Drew Rasmussen will get the nod; he comes in at 2-1 with a 2.64 ERA and 0.85 WHIP. 

Despite the Blue Jays hitting the ball slightly better than the Rays over their last 10 games, these 2 teams are fairly close on the season. The Blue Jays have struggled on the road this year, going 6-11, while the Rays have been terrific at home — holding a 12-4 such record. It’s also worth noting the Rays boast a 1.20 ERA in their last 10 games and have won 9 of their last 10. Toronto has a 3.41 team ERA in that same span and has won 6 of its last 10. While both pitchers have had a great start to the season, I like the Rays in this spot. Jonathan Aranda and Junior Caminero have been red hot for Tampa Bay. Aranda is hitting .356 with 4 home runs and 12 RBIs in his last 13 games, while Caminero is hitting .273 with 4 homers and 6 RBIs in that same span. With impressive pitching and a strong hitting core, the Rays should be able to shut down a struggling Blue Jays team and pick up another win at home.

Blue Jays vs Rays prediction: Tampa Bay ML (-130) available at time of publishing. Playable to -145. 

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Jason Fragomeni

Jason Fragomeni is a MLB sports writer for Pickwise who lives in New York and is a huge fan of the New York Yankees and New York Giants. Jason is a data/statistic fanatic and he’s learned how to apply statistical analyses into the sports betting world. Jason uses data every day to help him determine what picks have the greatest probability of winning, which has helped him when it comes time to make a wager. Jason has been in the sports industry for over 10 years now, and has a wealth of knowledge surrounding sports and is a sports bettor by hobby.
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