The CBB Bet You’re Missing Out On
We are now in the meat of the college basketball schedule and if you love betting college basketball moneylines, point spreads, and totals there is another bet you may want to consider.
Most often, CBB bettors aren’t betting moneylines because they just don’t make sense. There are situations where plays on a larger underdog are worth the risk, but betting on big favorites can be a recipe for disaster.
Betting on CBB point spreads can be tricky sometimes. Needing a team to win by more than two possessions, especially in a battle of two good major conference teams, seems to always be a sweat.
Many bettors will turn to the game total when they just can’t come to a conclusion on a side. Betting college basketball totals can be very lucrative, especially when you know what to look for. And, if you find situations where the Over is the play, you may want to consider an additional wager.
If You Like the Over…
If you’ve looked at the statistics and the metrics and in your estimation the Over is the play on a college basketball game, take a look at the Both Teams To Score X Points. A great example of this occurred just recently in an Atlantic Sun Conference game.
On Wednesday, Feb. 11, ASUN leader Austin Peay was a 2.5-point underdog at Queens University. Queens is a top-4 team in the conference and the Royals were 10-1 at home heading into their game against the Governors.
Both teams are top-80 in scoring. Austin Peay averages 81.1 points per game and Queens scores 84.1. At home, Queens averages nearly 92 points a game as the Royals love to shoot threes (20th in the nation in three-point attempts). They make them at a good clip too (29th nationally).
…Really Like the Over
There were a few other reasons why the Over made sense in this game. In addition to being able to fill it up on the offensive end, Queens has some issues on the defensive end. The Royals like to play fast. They are in the top-100 in Adjusted Tempo.
Playing at a high pace often makes it difficult on the defensive end and Queens is one of the poorer defenses in the country. The Royals rank 352nd in scoring defense, allowing opponents an average of 83.2 points per game.
As a result, Queens tends to play a lot of high-scoring games. The same is true for Austin Peay, which was in the midst of a six-game winning streak prior to the game. Austin Peay scored 81 or more points in five of those six wins. They are a top-100 three-point shooting team and they get to the free throw line pretty often.
Two very good offenses and one bad defense made this game a perfect candidate for the Over. The game total was set at 160.5 at odds of -110. The handicap of the game was solid and the Over seemed like the right pick, but what if there was a bet that made even more sense?
Consider Both Teams To Score X Points
Now, there was nothing wrong with betting Austin Peay-Queens to go Over 160.5 at -110 odds. However, what if you could get essentially the same bet at +100 or even +170?
Austin Peay and Queens played two games last season and the game totals were 146.5 and 147.5. This year’s game on Feb. 11 closed with a total of 161.5. Often in situations like this, oddsmakers are sending you a subliminal message. It’s also telling when you see a college basketball total above 160. The books are expecting points.
In these situations, you can find sportsbooks that offer the Both Teams To Score X Points wager. For this Feb. 11 game, bettors could get Both Teams To Score 79.5 Points at odds of +170. For more conservative bettors, it was still possible to place this bet at 76.5 points at odds of +100.
Both individual team totals were set near or above 80, which was also a key indicator. In the end, it was a fast-paced game won by Austin Peay 95-87. Bettors who played the Over won, and a $100 bettor profited $91.
But, those bettors that played Both Teams Over 79.5 profited $170 and those that played Both Teams Over 76.5 netted $100. Next time you’re locked on an Over in a situation like this, don’t forget to take a look at this wager – Both Teams To Score X Points.












