Game: (829) Utah St. (5-0) vs. (830) LSU (3-1)
Time: Fri. 11/22 7:00 PM EST at Jamaica Classic
Spread: Utah St. -1.5
Total: 149
Odds from: 5Dimes Sportsbook
The Jamaica Classic begins today with the 3-1 LSU Tigers playing against the 5-0, #15 ranked, Utah State Aggies. This is expected to be a good battle between two tournament bound teams. The LSU Tigers won their last game 77-50 against UMBC and Utah State beat UTSA by a score of 82-50. Both teams should be well-rested and well prepared.
UTAH STATE AGGIES
The Aggies are averaging 86 points per game with shooting 48% field goals, 36% from 3, making an average of 8 3’s per game. The Aggies average 11 offensive rebounds, forcing 15 turnovers and almost 7 steals per game which is pretty impressive all-around numbers but keep in mind their opponents haven’t been as tough so far this year. Utah State is only allowing 53 PPG on only 33% shooting.
LSU TIGERS
The Tigers are averaging 80 PPG by shooting 49% from the field. 3 pointers are not their strong point as they only average 5 per game shooting 28%. LSU has been struggling with handling the ball with pressure as they are averaging 20 turnovers a game. LSU is allowing 69 PPG on only 39% shooting. The Tigers also average 5 blocks per game.
SUMMARY
This game should be a lot more defense than what you would expect from two high-scoring teams. This could be a sloppy game in foreign gym that they haven’t adjusted to or this could be an all-out marathon of points. Look for LSU to step up and show Utah state their first real game of the competition. Each team will be all about defense in this matchup that will force poor shooting and turnovers in an unfamiliar setting.
TRENDS
LSU:
- LSU is 2-13-1 ATS in their last 16 Fri. games.
- LSU is 2-6 ATS in their last 8 games overall.
- Over is 7-3 in LSU last 10 Fri. games.
UTAH ST.:
- USU is 15-5 ATS in their last 20 Fri. games.
- Under is 18-7-1 in USU last 26 Fri. games.
BETTING ANGLES:
Data Analysis: Utah State -1.5 / Under 149
Fade the Public: LSU +1.5 / Under 149
Sharp Action: no data / no data