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Charlotte vs. FAU odds, line, spread: 2023 college football picks, Week 9 predictions by proven model

Written by on October 27, 2023

Charlotte vs. FAU odds, line, spread: 2023 college football picks, Week 9 predictions by proven model

The FAU Owls (3-4) and the Charlotte 49ers (2-5) collide in a Conference USA tilt in a matchup on Friday evening in a standalone time slot as the only FBS game on the day’s schedule. The Owls are looking to get back on track after having their two-game win streak snapped. On Oct. 21, FAU lost to UTSA 36-10. Meanwhile, Charlotte had its five-game skid halted last time out as the 49ers topped East Carolina 10-7.

Kickoff from Jerry Richardson Stadium in Charlotte is set for 7:30 p.m. ET. The Owls are 4-point favorites in the latest FAU vs. Charlotte odds via SportsLine consensus, while the over/under for total points scored is 43. Before making any Charlotte vs. FAU picks, you need to see the college football predictions and betting advice from SportsLine’s proven computer model.

The SportsLine Projection Model simulates every FBS college football game 10,000 times. Since its inception, it has generated a stunning profit of well over $2,000 for $100 players on its top-rated college football picks against the spread. Anyone who has followed it has seen huge returns.

Now, the model has set its sights on FAU vs. Charlotte and just revealed its picks and predictions. You can visit SportsLine to see the model’s CFB picks. Here are several college football odds and trends for Charlotte vs. FAU: 

  • FAU vs. Charlotte spread: Owls -4
  • FAU vs. Charlotte over/under: 43 points
  • FAU vs. Charlotte money line: Owls -175, 49ers +148
  • CHAR: Charlotte is 1-9 ATS in its last 10 games at home
  • FAU: FAU is 5-1 in its last six games against Charlotte
  • FAU vs. Charlotte picks: See picks at SportsLine 
  • FAU vs. Charlotte live stream: fubo (try for free)

Why FAU can cover

The Owls offense is full of reliable and effective playmakers. Junior quarterback Daniel Richardson does a good job getting the ball out of his hand quickly and in rhythm. The Florida native is completing 63% of his passes for 1,044 yards and five passing touchdowns. On Oct. 14 against USF, he went 31 of 38 for 382 yards and three passing scores.

Sophomore receiver Tony Johnson provides FAU with a vertical deep threat. The Florida native has reeled in 25 receptions for 275 yards and three touchdowns. In the win over USF, Johnson had eight catches for 131 yards and one score. Senior running back Kobe Lewis changes the pace in the backfield. Lewis has logged 40 rushes for 211 yards and one touchdown in 2023. See which team to pick here.

Why Charlotte can cover

Charlotte has been strong on defense this season. The 49ers are very alert and instinctive on all three levels. Through seven games, they are currently fourth in the American Conference in scoring defense (22.7) and total defense (345.1). Additionally, they are second in pass defense (201.6). 

Senior defensive lineman Eyabi Okie-Anoma has been a force up front. Okie-Anoma is able to win with speed and finesse to cause havoc behind the line of scrimmage. The Maryland native is third in the conference in sacks (5) along with 8.5 tackles for loss and 37 total tackles. In his last outing against East Carolina, Okie-Anoma had seven total tackles and one sack. See which team to pick here.

How to make FAU vs. Charlotte picks

SportsLine’s model is leaning Over on the total, projecting the teams to combine for 49 points. The model also says one side of the spread hits in nearly 70% of simulations. You can only see the model’s pick at SportsLine

So who wins Charlotte vs. FAU, and which side of the spread hits nearly 70% of the time? Visit SportsLine now to see which side of the spread you need to jump on, all from the model that has notched a profit of well over $2,000 on its top-rated college football spread picks, and find out. 

The post Charlotte vs. FAU odds, line, spread: 2023 college football picks, Week 9 predictions by proven model first appeared on CBS Sports.


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