| 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 → |
| CJ Abrams: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| CJ Abrams: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Dansby Swanson: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Dansby Swanson: 2+ | 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 → |
| James Wood: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| James Wood: 2+ | 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 → |
| Nico Hoerner: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Nico Hoerner: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Pete Crow-Armstrong: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Pete Crow-Armstrong: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market asks how many home runs will be hit in the Washington vs Chicago C game and aggregates trader expectations about the game's run-scoring environment. It matters because home-run totals capture offensive strength, pitcher vulnerability, ballpark effects, and short-term news like weather or late scratches.
Washington and Chicago C bring different offensive profiles, ballpark contexts, and pitching matchups that shape home-run likelihoods; historical tendencies and recent form inform those expectations. Ballpark dimensions, league-specifics, and roster construction (power vs contact) have historically produced variation in game home-run totals. Late information such as announced starting pitchers, lineup confirmations, or weather updates often drives rapid reassessment of expected totals.
Market prices reflect collective sentiment about which home-run totals are most likely and update as new information arrives; they are not guarantees of any single outcome. Use the market as a real-time summary of how factors like pitchers, lineups, and conditions are being interpreted by other participants.
Each listed outcome corresponds to a particular total number (or narrow range) of home runs scored in the game; consult the market's outcome labels for the exact mapping of those 18 discrete possibilities. The market will resolve to whichever labeled outcome matches the official home-run total after the game.
The market resolves after the official game is complete using the league's official scorekeeping for runs and home runs; timing of final settlement depends on the platform and when official stats are posted. If the market close is listed as TBD, traders should watch for an announced close time ahead of game start or platform communication.
Announced starters and confirmed lineups are major drivers because pitcher home-run tendencies and the presence or absence of power hitters change the expected total; when those items are made official the market typically reacts. Late scratches, bullpen-only games, or unexpected pitching changes can prompt sharp adjustments in how participants price each outcome.
Check the game location (which stadium is hosting) and current weather forecasts—wind blowing out, high temperatures, and low humidity generally increase home-run carry, while into-the-park wind or cold, dense air suppresses it. Combine that information with pitcher and lineup context to assess how environmental conditions shift the expected home-run range for this matchup.
Head-to-head history can provide context about how each club's hitters have fared at that ballpark and against certain pitching styles, but recent form, current rosters, and the specific pitchers on the mound for this game are usually more predictive. Use historical matchups as one input among bullpen usage, lineup health, and current-season trends when evaluating the market.