BigSou foes will battle when the USC Upstate Spartans (7-11, 2-3 BigSou) challenge the High Point Panthers (4-14, 1-4 BigSou) at the G.B. Hodge Center. Tip-off is scheduled for 6 p.m. ET on Monday, January 20, 2020.
High Point Panthers at USC Upstate Spartans Odds Preview
The Panthers got blown out by the Charleston Southern Buccaneers in their last matchup, 79-60. High Point’s Emmanuel Izunabor put up 12 points and six rebounds in the contest. Charleston Southern had an effective field goal percentage of 0.680 (above their season average of 0.482). High Point, on the other hand, held the Buccaneers to an offensive rebounding percentage of 8.0 (below their season average of 25.9).
In the Spartans’ last matchup, they were dismantled by the Gardner-Webb Runnin’ Bulldogs, 83-67. With 14 points, Tommy Bruner played well for USC Upstate. Gardner-Webb had a free throw rate of 0.370 (above their season average of 0.238). USC Upstate, on the other hand, had a better turnover percentage (12.2 vs. 15.2).
The physical High Point offense could be living from the free throw line in this matchup. The Panthers rank 37th in the nation with a free throw attempt (FTA) rate of 0.275, while USC Upstate ranks 333rd in FTA rate allowed (0.310).
This is the first time these teams will battle this year. The Panthers won the only contest played against each other last season, 71-54. High Point had a much better offensive rebounding percentage (35.3 vs. 14.6). USC Upstate, meanwhile, had a better turnover percentage (12.2 vs. 15.4).
High Point Panthers vs. USC Upstate Spartans Prediction
Pick: SU Winner – USC Upstate, ATS Winner – USC Upstate, O/U – Under
USC Upstate ranks 128th in assists allowed per game (12.6) while High Point ranks 241st (16.3).
The Spartans’ average margin of defeat in their last five games has been 1.4, down from 4.7 for the season.
During their last five games, the Panthers have scored an average of 61.8 points per game (1.0 above their season average) and allowed an average of 74.8 points per game (1.4 above their season average).