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San Francisco Giants vs. Kansas City Royals Predictions & Odds – Jun 14, 2022

Continuing through the second third of the season, the San Francisco Giants (34W-26L) will take on the Kansas City Royals (20W-40L) at Oracle Park on Tuesday, June 14 at 6:45 pm PT.

San Francisco Giants vs. Kansas City Royals Odds

San Francisco Giants -255 | Kansas City Royals +210 (BET NOW)

Over/Under 8 total points (BET NOW)

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San Francisco Giants

So far this season, the Giants currently hold a team batting average of .241. Defensively, they are sporting an ERA of 4.11 and a .986 fielding percentage. They are currently ranked number three in the National League West after they outplayed the Los Angeles Dodgers 2-0 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 San Francisco Giants will play without Evan Longoria (Groin), Brandon Belt (Knee), Jakob Junis (Groin), Anthony DeSclafani (Ankle), Alexander Cobb (Neck Strain), Steven Duggar (Oblique), LaMonte Wade Jr. (Left Knee) and Matthew Boyd (Elbow).

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Kansas City Royals

The overall regular season batting average for the Royals is .242 and in terms of pitching, the team has an ERA of 5.37. With regard to fielding, the team has a percentage of .987. They beat the Baltimore Orioles 7-10 the last time they met on Sunday, and are currently number five in the American League Central. Will the Royals pull it off this time?

The Kansas City Royals are missing Joel Payamps (Undisclosed), Donald Greinke (Flexor), Gabriel Speier (Undisclosed), Cameron Gallagher (Hamstring), Raúl Mondesi (Knee), Jacob Brentz (Flexor), Tyler Zuber (Shoulder), Edward Olivares (Quad) and Matthew Peacock (Undisclosed).

San Francisco Giants vs. Kansas City Royals Predictions

Moneyline Pick: San Francisco Giants (-255)

Over/Under Pick: Under 8 total points (-106)

Runline Pick: San Francisco Giants -1.5 runs (-120)

(*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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