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Public betting percentages show how the bets on a college basketball game split between the two sides, counted by tickets and by dollars. Each source gets its numbers from one or more sportsbooks or from a picking contest, so it only sees part of the market. Fading the public means betting against the popular side, and while there’s some evidence that books shade lines toward popular teams, the win rates quoted for fading systems are hard to verify.
Bet percentage and money percentage
Most sources show two numbers for each side. The bet percentage counts tickets, so a $10 bet and a $5,000 bet each count once. The money percentage, sometimes called the handle percentage, counts dollars.
The two can point in different directions. Here’s a made-up game that drew 1,000 bets.
| Example game | Favorite -7.5 | Underdog +7.5 |
|---|---|---|
| Bets | 750 (75%) | 250 (25%) |
| Average bet | $20 | $60 |
| Money | $15,000 (50%) | $15,000 (50%) |
The favorite has three-quarters of the tickets but only half the money, because the underdog bets were bigger. The usual reading of a gap like this is that larger, more serious bettors are on the side with fewer tickets. It’s a reasonable guess, though anyone can place a big bet.
Where the numbers come from
Every set of splits you see comes from a particular group of bettors. The main sources work in different ways:
- One sportsbook’s customers. VSiN’s college basketball splits are based on bets taken at DraftKings, with an option to switch to Circa’s numbers, and the page updates every five minutes.
- A group of sportsbooks. Action Network says it tracks betting data at a variety of sportsbooks but doesn’t name them.
- Contest picks. Covers’ consensus numbers count the picks players make in its King of Covers contests, which aren’t bets placed at a sportsbook.
Each source sees a different crowd, so two sites can show different splits on the same game without either one being wrong.
The limits of public betting data
The biggest problem is sample size. Plenty of games on a college basketball slate get little attention, and Action Network itself warns that when a game has only a few hundred bets, its percentages can be skewed. On a game like that, one large wager can flip the money percentage by itself.
You also can’t see why people bet the way they did. Heavy action on a favorite might be fans backing a famous program, or it might be bettors who think the line is too short.
The split changes during the day, too. What you see in the morning can look nothing like the numbers at tip-off, and one reading won’t tell you when the money came in.
What fading the public means
Fading the public means betting the side with the smaller share of bets, usually when the other side has something like 70% or more. The logic is that sportsbooks know which teams casual bettors like and can shade the line toward them. If a favorite should be -6.5 and the book posts -7.5 because it expects one-sided action, the underdog gets an extra point.
There’s research behind the idea, though it’s old and comes from a different sport. Economist Steven Levitt studied about 20,000 wagers from a handicapping contest at an online sportsbook during the 2001–02 NFL season. In almost half the games, at least two-thirds of the bets landed on one side, and he concluded that bookmakers “appear to be strategically setting prices in order to exploit bettors’ biases.”
That’s one NFL season of contest picks from more than 20 years ago. It supports the idea that books shade lines, but it can’t tell you how often fading works in college basketball now.
Checking a fading trend before you trust it
You’ll see trend claims saying heavily bet favorites cover well under half the time. Before you rely on one, look for the number of games, the seasons covered, whose betting percentages were used and whether results were graded against the opening or closing line. Without those details, there’s no way to check it.
There’s also a math trap. A rule with no edge at all will still look good over some stretches. Over 300 bets, a pure coin-flip system finishes at 54% or better about 9% of the time. If you test ten rules over 300 bets each, with no games in common, the chance that at least one of them hits 54% by luck alone is about 62%.
At -110 you need to win 52.38% of your bets to break even, so a fading rule has to clear that over a big sample before it means much. Our guide to 55 percent winners shows how many bets that takes.
How to use the numbers
- Compare the two percentages. A big gap between bets and money shows you where the larger wagers are.
- Watch the line. If 75% of the bets are on the favorite and the spread drops from -7.5 to -6.5, something other than the ticket count moved it. That’s called reverse line movement, and our guide to reverse line moves in baseball explains the idea.
- Check injury and lineup news before reading anything into a move, since news moves lines too.
- Use a lopsided split as a reason to take a closer look at a game, and weigh it alongside everything else you know.
- Get the best number you can. Whichever side you take, an extra half point on the spread or -105 instead of -110 adds up over a season.
The same checks apply in March, when dozens of games are packed into a few days. Our guide to betting March Madness covers the tournament format and bet types.
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Sources
- Steven D. Levitt, Why Are Gambling Markets Organised So Differently from Financial Markets?, The Economic Journal, 2004
- VSiN, college basketball betting splits page (DraftKings and Circa data), checked September 29, 2026
- Action Network, NCAAB public betting page, checked September 29, 2026
- Covers, Consensus Betting FAQ, checked September 29, 2026
- Break-even and probability figures: our own calculations