NCAAB Public Betting & Money Percentages
| Scheduled | Open | Best Odds | % of Bets | % of Money | Diff | Bets |
|---|---|---|---|---|---|---|
5:00 PM SE Missouri SEMO Lipscomb LIP | +14.5 -14.5 | +14.5-105 -15-108 | ||||
6:00 PM IPFW PFW 757 Detroit DET 758 | -7.5 +7.5 | -7.5-115 +8.5-110 | ||||
8:30 PM Alabama St ALST Southern Miss USM | +1.5 -1.5 | +3-110 -1.5-110 | ||||
11:30 PM Purdue PUR 759 Penn State PSU 760 | +1.5 -1.5 | +2-105 -2-110 | ||||
12:00 AM Samford SAM SC State SCST | -7.5 +7.5 | -7.5-108 +7.5-105 | ||||
12:00 AM MD-E Shore UMES Longwood LONG | +18.5 -18.5 | +18.5-105 -19-107 | ||||
12:00 AM Warner Southern WARN North Florida UNF | N/A N/A | |||||
12:00 AM Panthers FIT Jacksonville JAC | N/A N/A | |||||
12:00 AM Radford RAD NC Central NCCU | -2.5 +2.5 | -3-108 +3.5-115 | ||||
12:00 AM Wright State WRST 761 Oakland OAK 762 | +1.5 -1.5 | +1.5-110 -1-108 | ||||
12:30 AM SE Louisiana SELA Nicholls St NICH | +3.5 -3.5 | +3-107 -3-105 | ||||
12:30 AM SFA SFA UT Grande Valley UTRGV | +6.5 -6.5 | +7-113 -6.5-106 | ||||
1:00 AM Jackson St JKST Arkansas St ARST | -16.5 +16.5 | +14.5-105 -15.5-110 | ||||
1:00 AM E TA&M ETAM Hou Christian HCU | +1.5 -1.5 | +1.5-105 -1.5-110 | ||||
+7 -7 | +7.5+100 -7.5-110 | |||||
1:00 AM Drake DRKE 767 Valparaiso VALP 768 | -11 +11 | -10.5-110 +10.5-105 | ||||
1:00 AM Xavier XAV 763 TCU TCU 764 | +1.5 -1.5 | +1.5-110 -1.5-105 | ||||
1:00 AM NW State NWST Incarnate Word IW | +4.5 -4.5 | +4.5-115 -4-108 | ||||
1:00 AM Lamar LAM Texas A&M-CC AMCC | +8.5 -8.5 | +9-114 -8.5-105 | ||||
2:00 AM Cal Poly CP 769 UC Davis UCD 770 | +1.5 -1.5 | +3-113 -1.5-120 | ||||
3:00 AM LBSU LBSU 775 CS Fullerton CSF 776 | +6.5 -6.5 | +6.5-113 -5.5-110 | ||||
+4.5 -4.5 | +5.5-109 -5.5-108 | |||||
+9.5 -9.5 | +9.5-115 -8.5-110 | |||||
3:00 AM UCSD UCSD 771 UCSB UCSB 772 | +1.5 -1.5 | +3-110 -1.5-113 | ||||
+15.5 -15.5 | +15.5-110 -15.5-108 |
College basketball floats through the regular season of play up until the end of February, when fans can begin to sniff the return of March Madness. That's translated to a lot of money wagered on the sport now that online sports betting is legal in several states.
Not every wager is the same amount, however, and college basketball bettors who pay attention to The Action Network's public betting data can spot sharp bets.
How to Use Public Betting and Money Percentages in NCAAB Betting
We track betting data at a variety of sportsbooks, including "percentage of bets" and "percentage of money" on every college basketball game and bet type.
- Percentage (%) of bets: The proportion of bets made on a side of a wager. For example, if we track 20,000 bets on the Alabama-Auburn game and 13,000 of them are on the Tigers, that would be 65% of bets on the Tigers.
- Percentage (%) of money: The proportion of money bet on a side of a wager. For example, if we track a total handle -- a betting term that means "amount wagered" -- of $6 million and $5 million is on the Crimson Tide, that would be 83% of the money on the Crimson Tide.
This is important information because not every bet is the same. Some bettors will place a wager of $5 while others might bet $5,000. The sharp and professional bettors are the ones that tend to bet more, but those bets still count as just a single bet.
Therefore, looking at the difference between the percentage of bets and percentage of money can help The Action Network users find the NCAAB sides that have "sharp money" -- in other words, those wagered on by pros. We also have expert NCAAB picks coverage.
Here's another example: Say the Syracuse Orange are getting 69% of the spread bets against the Duke Blue Devils, but 92% of the money bet on that game's spread is on the Orange. That would be a percentage difference of 23% on the Orange, highlighting that the bettors willing to wager a lot of money -- these are likely to be sharp and pro bettors -- are on Syracuse.
Of course, it's also important to look at the total number of bets placed on the market, which we also display on this page for The Action Network users. If there are just a few hundred bets, the resulting bet and money percentages might be skewed by the small sample size. In contrast, if that game has thousands and thousands of bets, you can trust that data more.