Notable bet/money split in Washington Nationals at New York Mets: a 25-point gap on New York Mets.
| Market | Side | Bet % | Money % | Odds |
|---|---|---|---|---|
| Moneyline | Washington Nationals | 43% | 68% | +106 |
| New York Mets | 57% | 32% | -114 | |
| Total | Over 8.5 | 75% | 78% | -110 |
| Under 8.5 | 25% | 22% | -102 |
Washington Nationals at New York Mets shows a meaningful bet/money divergence on the moneyline market — not the biggest split on the slate, but worth a look. 57% of bets are on New York Mets while only 32% of dollars are on the same side — a 25-point gap.
A 10 to 20-point gap is the band where the data starts to mean something but doesn't yet scream. It usually means a handful of larger bets landed on Washington Nationals without the public catching on yet, or the public is leaning on a side that the market doesn't fully respect. Either way, the money side here is Washington Nationals, and the price reflects what the books think of that lean.
Worth noting, not worth chasing alone. Pair it with the broader slate context if you're going to use it. See how we calculate splits →.
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We aggregate publicly reported sportsbook handle on a sub-hourly cadence. See our methodology page for the full breakdown.
We don't issue picks. The splits show what the public and the money are doing — use them to inform your own read of the game.
In our season-to-date sample, the side with more money than bets covers slightly more than half the time. The edge grows with the size of the bet/money gap.
Bet% is the share of tickets wagered on a side. Money% is the share of dollars. They diverge when one side draws bigger bets per ticket than the other.
These are data displays. We don't issue picks. Use the splits to inform your own bets — and bet responsibly.
Sharp money is wagering activity from sophisticated, high-volume bettors. It shows up as a money percentage that exceeds the bet percentage on the same side — bigger checks per ticket on the contrarian view. See our methodology →
How we track public bets and money — see our methodology →
Last updated: September 6, 2026 at 2:48 PM UTC
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