Softball Preview: Marshall Lions vs. Mt. Carmel Golden Aces
The Marshall Lions will head out on the road to face off against the Mt. Carmel Golden Aces at 4:30 p.m. on Monday. Marshall is strutting in with some hitting muscle as they've averaged 8.8 runs per game this season.
On Saturday, Marshall came up short against St. Joseph-Ogden and fell 8-5. Marshall has now taken an 'L' in back-to-back games.
Marshall saw seven different players step up and record at least one hit. One of them was Libby McFarland, who went 1-for-4 with two RBI and a double. Another player making a difference was Addie Shumaker, who scored a run and stole a base while going 2-for-2.
Meanwhile, Mt. Carmel entered their tilt with Newton with five consecutive wins but they'll enter their next game with six. They skirted past the Eagles 12-10. Mt. Carmel's victory was all the more impressive since Newton was averaging only 2.3 runs allowed on the season.
Mt. Carmel let Evie Sellers and Leah Lewis loose on the outfield. Sellers went 3-for-4 with a home run, three runs, and four RBI, while Lewis went 3-for-4 with a home run, three RBI, and two runs. Bella Andrews was another key contributor, going 3-for-4 with two RBI and a double.
Marshall's defeat dropped their record down to 18-8. As for Mt. Carmel, they have been performing incredibly well recently as they've won nine of their last ten contests, which provided a massive bump to their 12-7 record this season.
The pitchers for both teams better look sharp on Monday as neither team is afraid to steal. Marshall has been swiping bases left and right this season, having averaged 3.2 stolen bases per game. However, it's not like Mt. Carmel struggles in that department as they've been averaging 3.4. The only question left is which team can snag more.
Marshall skirted past Mt. Carmel 14-13 in their previous matchup back in April of 2023. The rematch might be a little tougher for Marshall since the squad won't have the home-field advantage this time around. We'll see if the change in venue makes a difference.
Article generated by infoSentience based on data entered on MaxPreps
