Softball Game Recap: Parkland Trojans vs. Easton Area Rovers

By Team Reports Apr 17, 2024, 12:48am

Softball Recap: Parkland Trojans vs. Easton Area Rovers

Parkland's game last Monday was a tough loss, but they didn't let that memory haunt them on Tuesday. They had just enough and edged the Easton Area Rovers out 10-9. The high-flying hitting performance was a huge turnaround for Parkland considering their two-run performance the contest before.

Aubrey Wilson tossed a big game, tossing five innings while giving up just two earned (and two unearned) runs off five hits.

On the hitting side, Ami Patel was excellent, scoring two runs while going 2-for-3. Anna Belletieri was another key contributor, scoring two runs while getting on base in two of her five plate appearances.

On Easton Area's side, Ava Monks was a force to be reckoned with on the mound despite the final result: she tossed five innings while giving up just two earned (and one unearned) runs off six hits.

At the plate, Alyssa Mayorca stepped up to lead a balanced group of hitters: she scored three runs and stole three bases while going 1-for-4. She is on a roll when it comes to stolen bases, as she's now stolen at least one in the last six games she's played. Another player making a difference was Ella Swartz, who went 3-for-4 with a home run, three RBI, and a double.

Even though they lost, Easton Area lost a few balls and finished the game with four home runs. That's the most home runs they've managed all season.

Parkland's victory bumped their record up to 5-3. As for Easton Area, their defeat dropped their record down to 6-2.

Parkland will look to defend their home field on Wednesday against Pocono Mountain West at 4:00 p.m. Parkland is strutting in with some hitting muscle, as they've averaged 7.5 runs per game this season. As for Easton Area, they will head out on the road to face off against East Stroudsburg North at 4:00 p.m. on Thursday. Easton Area is strutting in with some hitting muscle, as they've averaged 11 runs per game this season.

Article generated by infoSentience based on data entered on MaxPreps