HomebaseballTexas Rangers vs. Tampa Bay Rays Predictions & Odds – Jun 1,...

Texas Rangers vs. Tampa Bay Rays Predictions & Odds – Jun 1, 2022

The Texas Rangers (24W-24L) will meet the Tampa Bay Rays (28W-21L) on Wednesday, June 1 at Globe Life Field at 7:05 pm CT.

Texas Rangers vs. Tampa Bay Rays Odds

Texas Rangers +106 | Tampa Bay Rays -124 (BET NOW)

Over/Under 7.5 total points (BET NOW)

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Texas Rangers

This season’s overall batting average for the Rangers is .233. As far as pitching goes, the team has an ERA of 3.84 and with regard to fielding, they have a .980 percentage. They outplayed the Tampa Bay Rays 9-5 on Monday, and are currently number three in the American League West. Having said that, do you think these guys can pick up a win here?

The Texas Rangers are without José Leclerc (Elbow), Jonathan Hernández (Elbow) and Bradley Miller (Hip).

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Tampa Bay Rays

The overall regular season batting average for the Rays is .230 and in terms of pitching, the team has an ERA of 3.44. With regard to fielding, the team has a percentage of .981. They were defeated by the Texas Rangers 9-5 the last time they met on Monday, and are currently number three in the American League East. Will the Rays come out on top when all is said and done when they face off again against the Rangers?

The Tampa Bay Rays will play without Shane Baz (Elbow), Jon Chargois (Oblique), Peter Fairbanks (Lat), Andrew Kittredge (Back), Brendan McKay (Shoulder), Yonny Chirinos (Elbow), Wander Samuel Franco (Quad), Nick Anderson (Elbow), Chris Mazza (Back), Luis Patiño (Oblique), Brandon Lowe (Back) and Tyler Glasnow (Elbow).

Texas Rangers vs. Tampa Bay Rays Predictions

Moneyline Pick: Tampa Bay Rays (-124)

Over/Under Pick: Under 7.5 total points (-110)

Runline Pick: Tampa Bay Rays -1.5 runs (+130)

(*Predictions based on our proprietary predictive algorithm software)

View today’s MLB betting lines.

BigOnSports Staff
BigOnSports Staff
Our predictions are based on our proprietary predictive algorithm software that runs each game simulation 10,000 times in order to determine the optimal betting value.
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