Madison-Grant extended their losing streak to 14 on Wednesday, dropping them down to 1-16. They lost 13-3 to the Monroe Central Golden Bears. The Argylls were given a dose of their own medicine in this game as the Golden Bears apparently hadn't forgotten their defeat the last time these teams played back in May of 2025.
Madison-Grant saw two different players step up and record at least one hit. One of them was Olivia Dunham, who went 2-for-3 with one stolen base and one run. Delaney Pavey also deserves some recognition as she scored her first run of the season.
As for Monroe Central, the victory was the third in a row for them, bringing their record up to 7-10. The wins came thanks in part to their hitting performance across that stretch, as they averaged 10.3 runs over those games.
On Monroe Central's side, Lucy Huston made a big impact no matter where she played. She didn't allow a single earned run while striking out six over five innings pitched. Huston has been consistent: she hasn't tossed less than five strikeouts in seven consecutive appearances. She was also solid in the batter's box, going 1-for-4 with two stolen bases, two runs, and one double. That's the most stolen bases she has posted since back in April.
In other batting news, Haidyn Dumpert was a standout: she got on base in all four of her plate appearances with three stolen bases, three runs, and three RBI. That's the most RBI she has posted since back in April. Another player making a difference was Kloee Brannan, who went 2-for-3 with two stolen bases, two runs, and one triple.
Looking ahead, Madison-Grant will be playing at home against Eastbrook at 5:00 p.m. on Thursday. The Argylls' pitchers better be ready for this one: the Panthers have averaged an impressive 6.8 runs per game this season. As for Monroe Central, they will take on Muncie Central at 5:00 p.m. on Thursday. The Bearcats have struggled to contain batters this season (they've allowed 15.19 runs per game on average), something the Golden Bears will no doubt try to take advantage of.
Article generated by infoSentience based on data entered on MaxPreps
