HomebaseballToronto Blue Jays vs. Baltimore Orioles Predictions & Odds – Jun 14,...

Toronto Blue Jays vs. Baltimore Orioles Predictions & Odds – Jun 14, 2022

As we move through the second third of the season, the Toronto Blue Jays (36W-24L) will once again face off against the Baltimore Orioles (26W-36L) on Tuesday, June 14 at Rogers Centre at 7:07 pm ET.

Toronto Blue Jays vs. Baltimore Orioles Odds

Toronto Blue Jays -230 | Baltimore Orioles +190 (BET NOW)

Over/Under 9.5 total points (BET NOW)

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Toronto Blue Jays

This season, the Blue Jays’ are hitting .256 as a team. As far as defense goes, the team has an ERA of 3.55 and a .985 fielding percentage. They outplayed the Baltimore Orioles 11-1 in their last game on Monday, and are currently ranked number two in the American League East. Having said that, do you think these guys can pick up a win here?

The Toronto Blue Jays are without Julian Merryweather (Side), Hyun Jin Ryu (Forearm), Nathan Pearson (Mono), Daniel Jansen (Finger), Tayler Saucedo (Hip), Andrew Vasquez (Ankle) and Matt Chapman (Wrist).

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Baltimore Orioles

The overall regular season batting average for the Orioles is .229 and in terms of pitching, the team has an ERA of 4.41. With regard to fielding, the team has a percentage of .979. They were defeated by the Toronto Blue Jays 11-1 the last time they met on Monday, and are currently number five in the American League East. Will the Orioles pull it off when they face off again against the Blue Jays?

The Baltimore Orioles are missing Christopher Ellis (Shoulder), Ramón Urías (Left Oblique), John Means (Elbow), Alexander Wells (Elbow) and Joseph Krehbiel (Shoulder).

Toronto Blue Jays vs. Baltimore Orioles Predictions

Moneyline Pick: Toronto Blue Jays (-230)

Over/Under Pick: Under 9.5 total points (-110)

Runline Pick: Toronto Blue Jays -1.5 runs (-113)

(*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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