| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Alex Bregman: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Alex Bregman: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Alex Bregman: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Alex Bregman: 4+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Alex Bregman: 5+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| CJ Abrams: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| CJ Abrams: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| CJ Abrams: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| CJ Abrams: 4+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| CJ Abrams: 5+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Dansby Swanson: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Dansby Swanson: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Dansby Swanson: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Dansby Swanson: 4+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Dansby Swanson: 5+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Ian Happ: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Ian Happ: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Ian Happ: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Ian Happ: 4+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Ian Happ: 5+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| James Wood: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| James Wood: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| James Wood: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| James Wood: 4+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| James Wood: 5+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Michael Busch: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Michael Busch: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Michael Busch: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Michael Busch: 4+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Michael Busch: 5+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Nico Hoerner: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Nico Hoerner: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Nico Hoerner: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Nico Hoerner: 4+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Nico Hoerner: 5+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Pete Crow-Armstrong: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Pete Crow-Armstrong: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Pete Crow-Armstrong: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Pete Crow-Armstrong: 4+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Pete Crow-Armstrong: 5+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market asks how many combined hits, runs, and RBIs will be recorded in the Washington vs Chicago C matchup; it matters because those counting-stat markets let traders express views on likely offensive production for the specific game.
This type of market sits at the intersection of baseball box-score production and event-driven trading: team offensive profiles, starting pitchers, and ballpark effects all shape expected totals. Historical matchups, recent form, and lineup decisions provide context, while league rules and in-game events (e.g., extra innings, weather delays) can change outcomes on short notice.
Market prices reflect the collective expectation of which specific total or range of hits+runs+RBIs will occur; price movement shows how new information (lineups, weather, in-game events) shifts that expectation, not a guarantee of a result.
The official close time is listed on the trading platform and is currently TBD; many game-based markets close at or just before the scheduled first pitch, but always verify the platform’s stated close time for this specific event.
Each outcome corresponds to a specific total or range for the combined hits, runs, and RBIs as defined on the platform’s outcome labels—some outcomes may be per team while others could be combined totals, so check the outcome text on KALSHI to see which tally each option refers to.
Watch starting pitcher announcements, official lineups, late scratches or illnesses, bullpen availability updates, weather forecasts, and any park-specific news that could alter scoring expectations.
Live events like hits, runs, big innings, injuries, ejections, or weather delays will prompt price adjustments in real time as the market reevaluates the remaining scoring potential and the probability of each outcome.
Head-to-head history can highlight matchup patterns, but roster turnover, pitcher assignments, recent form, and small sample sizes limit its predictive power—use historical trends as one input among current pitching, lineup, and park/weather information.