Winning is always nice, but doing so behind a season-high score is even better (just ask Morristown). They breezed by the Waldron Mohawks to the tune of 73-40 on Friday. With that win, the Yellow Jackets brought their scoring average up to 51.8 points per game.
12/13/24 vs Waldron | 31 |
12/05/24 @ Blue River Valley | 22 |
12/03/24 vs Hagerstown | 20 |
11/27/24 @ Triton Central | 20 |
11/23/24 vs Edinburgh | 4 |
Morristown had a senior duo take command as Nevaeh Sanders went 13 for 23 on her way to 31 points and five steals and Danika Rutledge dropped a double-double on 22 points and ten boards. As a matter of fact, that's the most points Sanders has scored all season. Nevaeh Cox was another key player, putting up eight points.
Morristown smashed the offensive glass and finished the game with 13 offensive rebounds. That strong performance was nothing new for the team: they've now pulled down at least ten offensive boards in three consecutive contests.
Several Mohawks players turned in solid performances despite ultimately coming up short. Perhaps the best among those players was Alivia Fischer, who almost dropped a double-double on 11 points and nine boards. The team also got some help courtesy of Emerson Lindsey, who posted 12 points along with five rebounds and three steals.
Morristown is on a roll lately: they've won four of their last five matches, which provided a massive bump to their 5-6 record this season. The wins came thanks to their offensive performance across that stretch, as they averaged 60.2 points per game. As for Waldron, their defeat was their first in the conference, dropping their conference record down to 2-1 and their overall record down to 4-6.
The future could be bright for both Morristown and Waldron: their next opponents haven't had the best luck recently. Morristown will try to hand Southwestern their fifth-straight loss when the two meet at 6:00 p.m. on Tuesday. Meanwhile, Waldron will try to hand North Decatur their third-straight defeat when the two meet at 7:30 p.m. on December 20th.
Article generated by infoSentience based on data entered on MaxPreps