2022 Charlotte 49ers Football: Simulation Model Identifying Win Total Edge
We simulated every college football game 10,000 times; here are the results
Dan Karpuc - Jul 25, 2022, 1:54am EDTComing off of a 5-7 overall record (3-5 in Conference USA) last season, the Charlotte 49ers are projected to exceed expectations, according to the BetQL NCAAF Simulation Model. We simulated each game of the upcoming college football season 10,000 times, compared our results to current sportsbook lines and identified the most valuable futures to bet right now. This is on the list, as you can see below:
Our model is projecting the 49ers to win seven games and easily surpass their 4.5 win total. Wondering how the model got to that number? Not only will we show you exactly which teams the data projects them to win and lose, but also the associated scores with those outcomes. Take a look below.
The Charlotte offense will run through senior quarterback Chris Reynolds (30 total touchdowns: 26 passing, 9 interceptions, 2,680 passing yards), who will get all three of his starting wideouts back: Grant DuBose, Victor Tucker and Elijah Spencer, all of whom have solid size and historical production. In fact, eight offensive starters will return while running backs Calvin Camp and Iowa transfer Shadrick Byrd should make up an above-average rushing attack. Defensively, this team struggled limiting opposing teams through the air in 2021, but they’ll be led with some veteran secondary players this year.
As you can see in the schedule above, the model is projecting them to lose their Week 0 game to Florida Atlantic on the road before bouncing back with back-to-back wins against FCS William & Mary and a statement victory over Maryland at home. However, that momentum is expected to be erased with back-to-back close road losses to Georgia State (by one point) and South Carolina. A win against UTEP and a loss to UAB will set up an offensive explosion versus Florida International, the first of four wins in Charlotte’s last five games en route to bowl eligibility, per the simulation.
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