| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Adley Rutschman: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Adley Rutschman: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Adley Rutschman: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Byron Buxton: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Byron Buxton: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Byron Buxton: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Byron Buxton: 4+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Colton Cowser: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Colton Cowser: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Colton Cowser: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Gunnar Henderson: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Gunnar Henderson: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Gunnar Henderson: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Gunnar Henderson: 4+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Luke Keaschall: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Luke Keaschall: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Luke Keaschall: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Luke Keaschall: 4+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Matt Wallner: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Matt Wallner: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Matt Wallner: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Pete Alonso: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Pete Alonso: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Pete Alonso: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Pete Alonso: 4+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Royce Lewis: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Royce Lewis: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Royce Lewis: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market asks how many hits will be recorded in the Minnesota vs Baltimore: Hits event and matters because it captures market expectations about offensive production in that specific game. Traders use it to express views about pitching matchups, ballpark effects, and game conditions.
Minnesota and Baltimore are MLB franchises whose offensive output in any given game is shaped by starting pitchers, lineups, and ballpark characteristics. Historical trends between the clubs provide context but are less predictive than current-season form, day-to-day roster changes, and pitcher matchups. Because the market offers many discrete outcomes (28), it lets traders express fine-grained views on hit totals or ranges.
Prediction market prices reflect the aggregated expectations of participants about which hit total outcome is most likely; price movement signals new information such as a lineup announcement or weather update. Interpret prices as market-implied consensus, not guarantees of a particular result.
The 28 outcomes represent a predetermined set of discrete hit totals or ranges tied to this event; check the market's detail page on KALSHI to confirm whether outcomes are team-specific (Minnesota or Baltimore) or a combined game total and to see the exact numeric bins.
The market close time is listed as TBD; typically a hits market closes at or just before first pitch or at a platform-specified deadline, and the platform will post the official closing time once scheduled.
Announcements that tend to move this market include confirmed starting pitchers, lineup cards and late scratches, announced weather changes, and last-minute bullpen or injury news—all of which change expected contact rates and hit totals.
Use head-to-head history as context but prioritize current-season metrics: the two teams' recent offensive trends, the pitchers' season-long contact and strikeout rates, ballpark factors, and recent lineup stability are more informative for a single-game hits market.
A starter change can materially alter expectations—especially if the replacement has a different handedness, strikeout/contact profile, or sinker/fastball usage—leading traders to reprice outcomes to reflect the new matchup and its likely impact on hits.