Notable bet/money split in Texas Rangers at Miami Marlins: a 15-point gap on Texas Rangers.
| Market | Side | Bet % | Money % | Odds |
|---|---|---|---|---|
| Moneyline | Texas Rangers | 32% | 17% | +135 |
| Miami Marlins | 68% | 83% | -154 | |
| Run line | Texas Rangers +1.5 | 19% | 29% | -162 |
| Miami Marlins -1.5 | 81% | 71% | +140 | |
| Total | Over 8.5 | 52% | 57% | -104 |
| Under 8.5 | 48% | 43% | -110 |
Texas Rangers at Miami Marlins shows a meaningful bet/money divergence on the moneyline market — not the biggest split on the slate, but worth a look. 32% of bets are on Texas Rangers while only 17% of dollars are on the same side — a 15-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 Miami Marlins 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 Miami Marlins, 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 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.
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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. See our learn page for more.
Look for 15+ point gaps where the money is on the unpopular side. Those are the games where the average bet size is doing the talking.
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: June 24, 2026 at 4:21 AM UTC
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