| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Over 1.5 runs scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 2.5 runs scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 3.5 runs scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 4.5 runs scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 5.5 runs scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 6.5 runs scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 7.5 runs scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 8.5 runs scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 9.5 runs scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 10.5 runs scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 11.5 runs scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market lets traders take positions on the combined number of runs scored by the Minnesota and Baltimore teams in a single game; it matters because total-run markets summarize expectations about pitching, offense, and game conditions in a single line.
Minnesota and Baltimore matchups combine distinct offensive and pitching profiles that can shift expectations from day to day depending on rotations, injuries, and lineup changes. Historical head-to-head results provide context but each game is heavily driven by the announced starting pitchers, bullpen usage, and site-specific conditions.
Market prices reflect the collective expectations of participants about how many runs will be scored; movement in the market often follows public lineup announcements, confirmed starting pitchers, weather updates, and in-game developments.
Total runs refers to the combined runs scored by both teams as recorded in the game’s official final score by the league. Resolution timing and treatment of suspended or postponed games follow the platform’s official rules, so consult KALSHI’s resolution policy for specifics.
The announced starting pitchers for each team are the primary drivers, plus top-of-order hitters and known power threats on both clubs. Also watch recent bullpen usage, any lineup changes, and hitters’ historical performance against those specific pitchers.
A late starter change can materially shift expectations: an inexperienced or historically hittable replacement usually increases expected scoring, while a dominant veteran replacement typically lowers expected scoring. Markets often move quickly after official announcements.
Consider the home park’s typical run environment (friendly to hitters or pitchers), field surface, and the forecast for wind, temperature, and precipitation. Wind blowing out, warm temperatures, or a hitter-friendly configuration tend to favor higher totals; the opposite conditions favor lower totals.
Resolution depends on the platform’s policy: postponed or suspended games may be voided or carried over per KALSHI’s rules, and whether extra innings are included in the total is determined by the event’s stated resolution criteria. Check the market description and platform rulebook for how such scenarios are handled.