| 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 → |
| CJ Abrams: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| CJ Abrams: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| CJ Abrams: 3+ | 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 → |
| 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 → |
| James Wood: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| James Wood: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| James Wood: 3+ | 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 → |
| 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 → |
| 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 → |
This market tracks the total number of hits recorded in the Washington vs Chicago C baseball game and matters for traders and fans who want to express views on the offensive environment of this specific matchup.
The market sits on a single-game statistical outcome rather than a win/loss result, so its dynamics reflect starting pitchers, projected lineups and in-game events. Historical matchup tendencies, recent team hitting form, and ballpark characteristics all provide relevant background when evaluating likely hit totals.
Market prices reflect the collective assessment of which hit-total outcomes are most likely and will move as new information arrives (e.g., final lineups, weather, late scratches). Use prices as a real-time consensus signal, not a fixed prediction, and watch for updates up to market close.
Each outcome corresponds to a specific total or range of total hits in the game as listed on the market; the large number of outcomes reflects granular hit totals (including an upper category for very high totals). Read the outcome labels on the market page to see exact hit ranges.
The event page lists the market close time; currently it is marked as TBD, so check the market page for updates—markets typically close before first pitch or at a published cutoff tied to the game start.
Announced starters can meaningfully shift prices because pitchers differ in strikeout rates, walk rates and batted-ball profiles; an expected strong starter or one with heavy strikeout tendencies generally lowers projected hits, while a hittable starter tends to raise them.
Account for the home ballpark’s known run/hit environment and any short-term weather forecasts—wind blowing out, high temperature or low air density generally increase offense, while cold, rain or wind into the park suppress it.
Use recent and head-to-head trends as context but weigh them against matchup-specific inputs (starters, lineups, park and weather); small samples can be misleading, so prioritize matchup and roster information for a single-game forecast.