As we move through the second third of the season, the Pittsburgh Pirates (25W-38L) will once again meet the San Francisco Giants (36W-27L) on Saturday, June 18 at PNC Park at 4:05 pm ET.
Pittsburgh Pirates vs. San Francisco Giants Odds
Pittsburgh Pirates +154 | San Francisco Giants -184 (BET NOW)
Over/Under 8.5 total points (BET NOW)
Pittsburgh Pirates
Over the course of the regular season, the Pirates’ are carrying a team batting average of .217. In regards to defense, the team has an ERA of 4.47 and a .977 fielding percentage. They defeated the San Francisco Giants 0-2 in their most recent game on Friday, and are currently ranked number three in the National League Central. Will they be able to pick up a much-needed win in this one?
In terms of injuries and absences, the Pittsburgh Pirates will play without Tucupita Marcano (COVID-19), Nicolaus Mears (Elbow), Josh VanMeter (Finger), Canaan Smith-Njigba (Wrist), Duane Underwood Jr. (COVID-19), Kevin Newman (Groin), Jacob Marisnick (Thumb), Benjamin Gamel (Hamstring), Roberto Pérez (Hamstring), Dillon Peters (Undisclosed), Blake Cederlind (Elbow), Yoshitomo Tsutsugo (Undisclosed) and Greg Allen (Hamstring).
San Francisco Giants
The overall regular season batting average for the Giants is .239 and in terms of pitching, the team has an ERA of 3.94. With regard to fielding, the team has a percentage of .986. They lost to the Pittsburgh Pirates 0-2 the last time they met on Friday, and are currently number three in the National League West. Will the Giants come out on top when all is said and done when they go head-to-head once more against the Pirates?
The San Francisco Giants are without Jakob Junis (Groin), Anthony DeSclafani (Ankle), Alexander Cobb (Neck Strain), Steven Duggar (Oblique), LaMonte Wade Jr. (Left Knee) and Matthew Boyd (Elbow).
Pittsburgh Pirates vs. San Francisco Giants Predictions
Moneyline Pick: San Francisco Giants (-184)
Over/Under Pick: Under 8.5 total points (-120)
Runline Pick: San Francisco Giants -1.5 runs (-108)
(*Predictions based on our proprietary predictive algorithm software)
