Sharp money signal in Detroit Tigers at Houston Astros: Houston Astros has 45% of bets but only 15% of the dollars.
| Market | Side | Bet % | Money % | Odds |
|---|---|---|---|---|
| Moneyline | Detroit Tigers | 51% | 47% | -104 |
| Houston Astros | 49% | 53% | -110 | |
| Total | Over 8.5 | 69% | 67% | even |
| Under 8.5 | 31% | 33% | -110 |
Detroit Tigers at Houston Astros is one of the strongest sharp-money signals on tonight's MLB slate. On the spread market, 45% of bets are on Houston Astros but only 15% of the dollars — a 30-point gap between bet count and money share that ranks among the largest divergences in the slate.
That gap is the cleanest sharp-money tell we have. When the bet count and dollar share point in different directions, the dollars are coming from fewer, larger checks — the kind of bets that distinguish high-volume, professional action from the public crowd. Books rarely give back this much line value on a casual mistake; the price you're seeing is what the market thinks of the divergence in real time.
None of this is a pick. It's where the money is landing — you decide what to do with 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.
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.
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A 10-point gap is the threshold we treat as noise vs. signal. 15+ points is meaningful — it usually means the average bet on the money side is materially larger than on the public side.
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 18, 2026 at 5:17 AM UTC
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