Pulaski has been on the road for three straight, but on Saturday they'll finally head home. They will take on the Sheboygan North Golden Raiders at 11:00 a.m. on Saturday. The pair are sauntering into the matchup backed by comfortable wins in their prior games.
Pulaski is hoping to deliver their fans another blowout on Saturday, just like they did against Notre Dame Academy (and have done all season long). Pulaski put the hurt on Notre Dame Academy with a sharp 14-4 win on Thursday.
Morgan Vertz was a major factor no matter where she played. She didn't allow a single earned run while striking out six over six innings pitched. Vertz was also solid in the batter's box, going 2-for-4 with two RBI.
In other batting news, Kianna Altendorf was incredible, firing off two home runs, four RBI, and a triple while going 4-for-4. Another player making a difference was Cassandra Benberg, who went 3-for-5 with a home run, three runs, and two RBI.
Meanwhile, Sheboygan North got themselves on the board against Sheboygan South on Thursday, but Sheboygan South never followed suit. Everything went their way against the Redwings as they made off with a 15-0 victory. With that win, Sheboygan North brought their scoring average up to 6.2 runs per game.
Jadyn Jetzer was incredible, scoring three runs and stealing two bases while getting on base in all four of her plate appearances. The team also got some help courtesy of Emma Wagner, who scored a run and stole a base while going 1-for-3.
Pulaski's victory bumped their record up to 6-1. As for Sheboygan North, their win bumped their record up to 2-3.
Fans could be in store for some top-tier slugging on Saturday. Pulaski hasn't had any problems when it comes to power this season, having averaged 1.1 home runs per game. However, it's not like Sheboygan North struggles in that department as they've been averaging 0.6. 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
