NFL News NFL News, Reports and Updates
Conference USA will take center stage on Tuesday night with a tripleheader, and the final game of the night will pit the New Mexico State Aggies against the Louisiana Tech Bulldogs in Las Cruces. New Mexico State is 1-5 on the season and 0-3 in conference play while Louisiana Tech is 2-3 overall and 1-1 in the league. The Aggies ended a six-game losing streak to the Bulldogs with a 27-24 win in Ruston last year but Louisiana Tech still owns an 8-5 edge in the all-time series.
Kickoff is scheduled for 9 p.m. ET at Aggie Memorial Stadium. The Bulldogs are 11.5-point favorites in the latest New Mexico State vs. Louisiana Tech odds from SportsLine consensus, while the over/under for total points scored is 50. Before making any New Mexico State vs. Louisiana Tech picks, you need to see the college football predictions and betting advice from the SportsLine Projection Model.
The model simulates every FBS college football game 10,000 times. Since its inception, it has generated a betting profit of well over $2,000 for $100 players on its top-rated college spread football picks, and it is 12-5 on top-rated picks over the past three weeks of this season. Anyone who has followed it has seen strong returns.
Now, the model has dialed in on New Mexico State vs. Louisiana Tech and just revealed its coveted picks and predictions. You can head to SportsLine now to see the model’s picks. Here are the college football betting lines for Louisiana Tech vs. New Mexico State:
New Mexico State vs. Louisiana Tech spread: Louisiana Tech -11.5New Mexico State vs. Louisiana Tech over/under: 50 points New Mexico State vs. Louisiana Tech money line: Bulldogs -455, Aggies +338NMSU: New Mexico State is 9-3 against the spread in its last 12 home gamesLT: Louisiana…
Source link : https://www.cbssports.com/college-football/news/new-mexico-state-vs-louisiana-tech-prediction-odds-2024-college-football-week-8-picks-by-proven-computer/
Author : CBS Sports Staff
Publish date : 2024-10-15 12:08:24
Copyright for syndicated content belongs to the linked Source.
