| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Fernando Tatis Jr.: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Fernando Tatis Jr.: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jackson Merrill: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jackson Merrill: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Javier Báez: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Javier Báez: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Manny Machado: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Manny Machado: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Riley Greene: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Riley Greene: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Spencer Torkelson: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Spencer Torkelson: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Xander Bogaerts: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Xander Bogaerts: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Colt Keith: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Colt Keith: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Freddy Fermin: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Freddy Fermin: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Gavin Sheets: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Gavin Sheets: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Gleyber Torres: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Gleyber Torres: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jake Cronenworth: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jake Cronenworth: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Kerry Carpenter: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Kerry Carpenter: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Kevin McGonigle: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Kevin McGonigle: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Ramón Laureano: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Ramón Laureano: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Nick Castellanos: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Nick Castellanos: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jake Rogers: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jake Rogers: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Matt Vierling: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Matt Vierling: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Zach McKinstry: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Zach McKinstry: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market asks traders to forecast the number of home runs that will be hit in the Detroit vs San Diego game. It matters because home runs are high-impact events that drive scoring swings and influence many in-game and season-long betting markets.
Home-run outcomes in a single game are shaped by a mix of team power profiles, the starting pitchers and bullpens used, and the ballpark where the game is played. Historical patterns — such as how each club has performed in similar matchups and venues — provide context, but game-day information (lineups, weather, pitcher health) commonly changes expectations.
Market prices represent the collective expectation of participants about which outcome will occur and will move as new information arrives; they should be read as real-time consensus signals rather than fixed predictions.
The market uses the official scoring definition as recorded in the league’s final box score: any batted ball scored as a home run (including inside-the-park home runs and those changed by official review) counts toward the total used for settlement.
The market close time is set on the platform (currently listed as TBD for this event); settlement is determined after the game is officially completed and the exchange verifies the official box score or designated league source. Check the event page for the platform’s posted close and settlement rules.
The 14 outcomes correspond to the specific outcome labels offered by the market—typically discrete total counts or ranges of home runs for the game, or other structurally defined options. Review the market outcome labels on the event page to see whether they are total-home-run bins, team-specific counts, or alternative specifications.
Prioritize confirmed starting pitchers and their announced pitch counts, the published batting lineups (including any late scratches), final weather forecasts for the ballpark, and announced bullpen plans or pitcher availability changes; these items commonly have the largest immediate impact on home-run expectations.
Low volume typically means thinner liquidity and wider effective spreads, so individual trades can move prices more and it may be harder to enter or exit large positions without impacting the market. Monitor order-book depth and be prepared for greater price volatility when placing orders.