HomebaseballToronto Blue Jays vs. Seattle Mariners Predictions & Odds – May 18,...

Toronto Blue Jays vs. Seattle Mariners Predictions & Odds – May 18, 2022

The Toronto Blue Jays (20W-17L) will face off against the Seattle Mariners (16W-21L) on Wednesday, May 18 at Rogers Centre at 7:07 pm ET.

Toronto Blue Jays vs. Seattle Mariners Odds

Toronto Blue Jays -245 | Seattle Mariners +200 (BET NOW)

Over/Under 8 total points (BET NOW)

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Toronto Blue Jays

This season’s overall batting average for the Blue Jays is .232. As far as pitching goes, the team has an ERA of 3.69 and with regard to fielding, they have a .986 percentage. They defeated the Seattle Mariners 3-0 on Tuesday, and are currently number three in the American League East. That said, do you think these guys can pick up a win here?

The Toronto Blue Jays will play without Nathan Pearson (Mono), Tayler Saucedo (Hip), Timothy Mayza (Forearm) and Jordan Romano (Undisclosed).

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Seattle Mariners

The overall regular season batting average for the Mariners is .230 and in terms of pitching, the team has an ERA of 4.02. With regard to fielding, the team has a percentage of .984. They lost to the Toronto Blue Jays 3-0 the last time they met on Tuesday, and are currently number four in the American League West. Will the Mariners get the win when they go at it again against the Blue Jays?

The Seattle Mariners are missing Thomas Murphy (Shoulder), Kenneth Giles (Finger), Matthew Festa (Right Elbow), Casey Sadler (Shoulder), John Crawford (Ankle), Evan White (Sports Hernia), Erik Swanson (Right Shouler), Kyle Lewis (Knee) and Mitchell Haniger (Ankle).

Toronto Blue Jays vs. Seattle Mariners Predictions

Moneyline Pick: Toronto Blue Jays (-245)

Over/Under Pick: Under 8 total points (-115)

Runline Pick: Toronto Blue Jays -1.5 runs (-118)

(*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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