Search for public betting percentages on any NBA or NHL game and you will find a lot of numbers that look alike: a bar split between two teams, a share next to each side, sometimes two shares that disagree with each other. They all get called "public betting data". They are not the same thing, and mixing them up leads to confident conclusions built on the wrong measurement.
This guide explains the three kinds of public betting data you are most likely to meet (ticket share, money share and pick mentions), where each one comes from, and what each one can and cannot tell you. The third one is what BeeTheOdds counts, so we will be specific about its limits too.
Ticket share: counting bets
Ticket share, also called bet share or bet count, answers a simple question: of all the individual bets placed on this game at the sportsbooks that report the data, how many are on each side?
Every bet is one ticket, whatever its size. A ten-dollar bet on the Over and a ten-thousand-dollar bet on the Under count the same. That makes ticket share a decent proxy for what the number of bettors prefers, which is usually what people mean when they say "the public".
What ticket share does not tell you:
- How big the bets are. One large wager can outweigh hundreds of small ones in the sportsbook's exposure, and ticket share ignores it entirely.
- Who is betting. A recreational bettor and a professional each produce one ticket.
- Which books are included. Ticket data is shared by operators or their data partners, and it usually includes only the books that agree to share it. The rest of the market is invisible.
Money share: counting dollars
Money share, also called handle share, counts dollars instead of tickets: of all the money wagered on this game at the reporting books, how much is on each side?
The interesting moments are when ticket share and money share disagree. If most tickets are on the favorite but most money is on the underdog, a common reading is that fewer, larger bettors are on the underdog. Commentators often describe those larger bettors as "sharp", although the data itself says nothing about skill, only about size.
What money share does not tell you:
- Whether the big money is right. Large bets are not automatically informed bets.
- How the book is positioned overall. A sportsbook does not need equal money on both sides to do well. Research on betting markets has long questioned the idea that books simply balance their action and collect the margin. Steven Levitt's study in the Economic Journal argued that bookmakers set prices and take positions, profiting from predictable bettor biases rather than acting as neutral matchmakers (Levitt, 2004, Economic Journal). A lopsided split, on its own, is therefore not a reason to expect a line to move.
- Timing. Splits change through the day, and a snapshot taken at noon can look very different from the one at tip-off or puck drop.
Where public betting percentages come from
When you look for public betting percentages, you will usually find them on odds and betting media sites, on sports betting shows and in apps. Before trusting any split, it is worth asking four questions:
- Tickets or money? A single "public share" without that label is hard to interpret.
- Which books? One operator, a handful, or an undisclosed mix? Customer bases differ between books and regions.
- When? Is the number live, from the morning, or from the close?
- Which markets? Most splits cover sides and totals. Player props are rarely included, even though they are a large part of what bettors talk about.
None of this makes ticket or money data useless. It makes it partial, and the honest way to use it is to know what slice of the market you are looking at.
Mentions: counting published picks
BeeTheOdds measures something different. We do not see tickets or dollars at any sportsbook, and we never claim to. Instead, on every game day we read about 25 public sources and count mentions: one published pick, by one author, for one side of one market.
The sources fall into three types:
- Community: bettors posting their own picks in public discussion threads.
- Tipster sites: people publishing picks and predictions.
- Model sites: algorithmic projections rather than human picks.
Here is how our mentions have been distributed across those three types so far this season:
Our mentions by source type
| Source type | Mentions | Share | Markets |
|---|---|---|---|
| Community | 1015 | 8.9% | 561 |
| Tipsters | 4493 | 39.6% | 1408 |
| Models | 5835 | 51.4% | 1832 |
A few rules keep the count honest. Each author counts once per market, however many times they repeat the pick. Parlays are split into their legs, so a three-leg parlay adds one mention to each market. Every pick is checked against the right date and matchup. Game markets appear only from 5 mentions and player props from 2, and every market shows mention volume, consensus share and an indicative odds bucket side by side. The full rules are in our methodology.
How mentions differ from tickets and money
- What is counted. Ticket share counts bets placed; money share counts dollars wagered; mentions count picks published.
- Where it comes from. Tickets and money come from the sportsbooks that report them; mentions come from public communities, tipster sites and model sites.
- Stake. Every ticket and every dollar has money behind it; a mention needs none.
- Player props. Splits rarely cover them; mentions do, and props are where much of the NBA and NHL conversation happens.
- Accountability. A split describes betting activity, so there is nothing to grade afterward; a mention is a public prediction, and every market we count is graded.
The biggest difference is the last one. A ticket split tells you what happened at a counter; it does not come with a public scorecard. A mention is a public, timestamped opinion, and opinions can be graded. Every morning we grade every market against the official box score and add it to the season record, split by consensus strength, market type and source type. You can see how that is going in the NBA public betting record and the NHL record.
The weakness is just as clear. A mention carries no stake. Writing "Over" in a thread costs nothing, and a pick published by a model site and one posted by a casual fan count the same. Mentions tell you what the people publishing picks are saying, not how much money is behind a side and not how the betting market as a whole is positioned.
Which number answers which question
- "How many bettors are on this side?" Ticket share, from the books that report it.
- "Where is the money?" Money share, with the same caveat.
- "What are tipsters, models and betting communities saying, and have they been right?" Mentions, together with a graded record.
No single number tells you what will happen in the game. A crowd can agree loudly and still lose, and heavy agreement on a short-priced favorite is common and says little. That is why we always show the indicative odds next to the consensus share, and why our record pages draw the break-even line that a side has to clear at typical prices.
If you want to see mentions in action, start with tonight's NBA public betting consensus or the NHL consensus, then check the record to see how the crowd has done.
Sample: N = 1745 graded NBA and NHL markets, Oct 17 – Nov 5, 2026 (19 pushes and voids not counted in hit rates). Every graded market is in the CSV (NBA, NHL); read how we collect and grade. Past results do not predict future ones.
BeeTheOdds reports what the public is saying, not what anyone should bet. If betting stops being fun, our responsible gambling page explains where to find help.
BeeTheOdds counts public betting sentiment; nothing here is betting advice. Odds are indicative buckets, not bookmaker prices. 18+/21+ where applicable — responsible gambling.