The Central Cambria Red Devils will head out on the road to challenge the Philipsburg-Osceola Mountaineers at 4:30 p.m. on Thursday. The last four games Central Cambria has played have been within two runs, so don't be surprised if it's a close one.
Bedford hit Central Cambria with a five-run seventh inning on Monday, which goes a long way in explaining the final result. The Red Devils fell just short of the Bisons by a score of 8-7.
Central Cambria saw seven different players step up and record at least one hit. One of them was Keira Link, who went 1-for-5 with one home run. Katie George was another, going 1-for-3 with two runs.
Meanwhile, Philipsburg-Osceola got themselves on the board against Bishop Guilfoyle on Monday, but Bishop Guilfoyle never followed suit. They were the clear victors by a 15-0 margin over the Marauders. The Mountaineers might be getting used to big wins seeing as the team has won seven contests by ten runs or more this season.
The team relied heavily on Addy Jarrett, who went 1-for-3 with one home run, three RBI, and two runs. That's the most runs she has posted since back in March. Mckenna Thorp also deserves some recognition as she got her first hit of the season.
Philipsburg-Osceola is on a roll lately: they've won three of their last four games. That's provided a nice bump to their 11-6 record this season. Those wins came thanks in part to their pitching effort, having only surrendered 0.5 runs on average over those games. As for Central Cambria, their defeat ended an eight-game streak of wins at home and dropped them to 14-5.
Fans could be in store for some top-tier slugging on Thursday. Central Cambria hasn't had any problems when it comes to power this season, having averaged 1.3 home runs per game. However, it's not like Philipsburg-Osceola struggles in that department as they've been averaging 0.4 home runs. With so much power on both teams, it'll be down to the pitchers to keep the mound locked down. Check back here after the action for a full breakdown and analysis of the contest.
Article generated by infoSentience based on data entered on MaxPreps
