Las Vegas bookmakers have set over/under win totals for almost every team in the FBS, with Alabama and Clemson leading the way at an over/under of 11 regular-season Ws.
Here are 2018 over/under win totals for 129 of the 130 FBS teams
Unless you’re looking for Liberty’s total, your team’s is here.


These totals are from the sportsbook at the Southpoint Casino in Las Vegas, via Covers.com. Most come with moneyline odds of -110 or -120 in either direction, meaning you’d have to risk $115 or so to win $100 on a successful bet in either direction. They’re in alphabetical order if you run through these three images, from Air Force to Wyoming:
Of the 130 FBS teams, the only one not included is Liberty, in its first year at the level. S&P+ projects the Flames to go 5-7, so their total would probably be 4.5 or 5.5.
There are $1,000 limits on these bets for Power 5 teams, $500 for Group of 5 teams.
Nothing on this list immediately pops as an obvious winner to me, but I’d be enticed by Texas at 8.5 and Arizona at 7.5. The Longhorns — all TEXAS IS BACK jokes being absolutely fair — could get really good at any moment, given the talent in their program. I don’t think a 9-3 season for them is a lot to ask, especially given that they’re likely to face a freshman quarterback when they play USC in non-conference play. Arizona has a lot of good players, most notably QB Khalil Tate, and is playing under Year 1 Kevin Sumlin. I like that.
On a second read of that list, I kind of like LSU at 7. The Tigers play a brutal schedule, yeah. That Week 1 game against Miami looks hard for them. They play Georgia and a potentially not-horrible Florida (on the road) in cross-divisional SEC play. But they at least get Georgia and Alabama at home, making those not certain defeats. Ultimately, I think the team that’s won at least eight games every year this millennium will do that again. Right?
If you’re looking for a bunch of single-game odds, here’s most of Week 1, and here’s a cross-section of big games throughout the 2018 season. Here’s how to predict spreads.














