HomebaseballToronto Blue Jays vs. Baltimore Orioles Predictions & Odds – Jun 13,...

Toronto Blue Jays vs. Baltimore Orioles Predictions & Odds – Jun 13, 2022

As we move through the second third of the season, the Toronto Blue Jays (35W-24L) will meet the Baltimore Orioles (26W-35L) on Monday, June 13 at Rogers Centre at 7:07 pm ET.

Toronto Blue Jays vs. Baltimore Orioles Odds

Toronto Blue Jays -295 | Baltimore Orioles +240 (BET NOW)

Over/Under 8.5 total points (BET NOW)

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Toronto Blue Jays

So far this season, the Blue Jays currently hold a team batting average of .252. Defensively, they possess an ERA of 3.6 and a .986 fielding percentage. They are currently ranked number two in the American League East after they lost to the Detroit Tigers 0-6 in their most recent game on Sunday. Will they be able to pick up a hard-fought win in this one?

Regarding inactive players for this matchup, the Toronto Blue Jays are missing 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 .231 and in terms of pitching, the team has an ERA of 4.27. With regard to fielding, the team has a percentage of .979. They were defeated by the Kansas City Royals 7-10 the last time they met on Sunday, and are currently number five in the American League East. Will the Orioles get the win this time?

The Baltimore Orioles are without 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 (-295)

Over/Under Pick: Under 8.5 total points (-110)

Runline Pick: Toronto Blue Jays -1.5 runs (-137)

(*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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